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What is PyPI & How To Publish An Open-Source Python Package to PyPI

The Python Standard Library comprises of sophisticated and robust capabilities for working with larger packages. You will find modules for working with sockets and with files and file paths.Though there might be great packages that Python comes with, there are more exciting and fantastic projects outside the standard library which are mostly called the Python Packaging Index (PyPI). It is nothing but a repository of software for the Python programming language.The PyPI package is considered as an important property for Python being a powerful language. You can get access to thousands of libraries starting from Hello World to advanced deep learning libraries.What is PyPI"PyPI" should be pronounced like "pie pea eye", specifically with the "PI" pronounced as individual letters, but rather as a single sound. This minimizes confusion with the PyPy project, which is a popular alternative implementation of the Python language.The Python Package Index, abbreviated as PyPI is also known as the Cheese Shop. It is the official third-party software repository for Python, just like CPAN is the repository for  Perl.  Some package managers such as pip, use PyPI as the default source for packages and their dependencies. More than 113,000 Python packages can be accessed through PyPI.How to use PyPITo install the packages from PyPI you would need a package installer. The recommended package installer for PyPI is ‘pip’. Pip is installed along when you install Python on your system. To learn more about ‘pip’, you may go through our article on “What is pip”. The pip command is a tool for installing and managing Python packages, such as those found in the Python Package Index. It is a replacement for easy_install.To install a package from the Python Package Index, just open up your terminal and type in a search query using the PIP tool. The most common usage for pip is to install, upgrade or uninstall a package. Starting with a Small Python PackageWe will start with a small Python package that we will use as an example to publish to PyPI. You can get the full source code from the GitHub repository. The package is called reader and it is an application by which you can download and read articles. Below shows the directory structure of reader :reader/  │  ├── reader/  │   ├── config.txt  │   ├── feed.py  │   ├── __init__.py  │   ├── __main__.py  │   └── viewer.py  │  ├── tests/  │   ├── test_feed.py  │   └── test_viewer.py  │  ├── MANIFEST.in  ├── README.md  └── setup.py The source code of the package is in a reader subdirectory that is bound with a configuration file. The GitHub repository also contains few tests in a separate subdirectory. In the coming sections, we will discuss the working of the reader package and also take a look at the special files which include setup.py, README.md, MANIFEST.in, and others. Using the Article ReaderThe reader is a primitive data format used for providing users with the latest updated content. You can download the frequent articles from the article feed with the help of reader. You can get the list of articles using the reader:$ python -m reader The latest tutorials from Real Python (https://realpython.com/)   0 How to Publish an Open-Source Python Package to PyPI   1 Python "while" Loops (Indefinite Iteration)   2 Writing Comments in Python (Guide)   3 Setting Up Python for Machine Learning on Windows   4 Python Community Interview With Michael Kennedy   5 Practical Text Classification With Python and Keras   6 Getting Started With Testing in Python   7 Python, Boto3, and AWS S3: Demystified   8 Python's range() Function (Guide)   9 Python Community Interview With Mike Grouchy  10 How to Round Numbers in Python  11 Building and Documenting Python REST APIs With Flask and Connexion – Part 2  12 Splitting, Concatenating, and Joining Strings in Python  13 Image Segmentation Using Color Spaces in OpenCV + Python  14 Python Community Interview With Mahdi Yusuf  15 Absolute vs Relative Imports in Python  16 Top 10 Must-Watch PyCon Talks  17 Logging in Python  18 The Best Python Books  19 Conditional Statements in PythonThe articles in the list are numbered. So if you want to read a particular article, you can just write the same command along with the number of the article you desire to read.For reading the article on “How to Publish an Open-Source Python Package to PyPI”, just add the serial number of the article:$ python -m reader 0  # How to Publish an Open-Source Python Package to PyPI  Python is famous for coming with batteries included. Sophisticated  capabilities are available in the standard library. You can find modules  for working with sockets, parsing CSV, JSON, and XML files, and  working with files and file paths. However great the packages included with Python are, there are many  fantastic projects available outside the standard library. These are  most often hosted at the Python Packaging Index (PyPI), historically  known as the Cheese Shop. At PyPI, you can find everything from Hello  World to advanced deep learning libraries.  ...  ...  ...You can read any of the articles in the list just by changing the article number with the command. Quick LookThe package comprises of five files which are the working hands of the reader. Let us understand the implementations one by one: config.txt -  It is a text configuration file that specifies the URL of the feed of articles. The configparser standard library is able to read the text file. This type of file contains key-value pairs that are distributed into different sections.  # config.txt [feed] url=https://realpython.com/atom.xml__main__.py - It is the entry point of your program whose duty is to control the main flow of the program. The double underscores denote the specialty of this file. Python executes the contents of the __main__.py file. # __main__.py from configparser import ConfigParser  from importlib import resources  import sys from reader import feed  from reader import viewer def main(): # Read URL of the Real Python feed from config file  configure=ConfigParser() configure.read_string(resources.readtext("reader","config.txt"))  URL=configure.get("feed","url") # If an article ID is given, show the article  if len(sys.argv) > 1:  article = feed.getarticle(URL, sys.argv[1])  viewer.show(article) # If no ID is given, show a list of all articles else: site = feed.getsite(URL)  titles = feed.gettitles(URL)  viewer.showlist(site,titles)  if __name__ == "__main__": main() __init__.py - It is also considered a special file because of the double underscore. It denotes the root of your package in which you can keep your package constants, your documentations and so on. # __init__.py # Version of the realpython-reader package  __version__= "1.0.0"__version__ is a special variable in Python used for adding numbers to your package which was introduced in PEP 396. The variables which are defined in __init__.py are available as variables in the namespace also. >>> import reader >>> reader.__version__ '1.0.0'feed.py - In the __main__.py, you can see two modules feed and viewer are imported which perform the actual work. The file feed.py  is used to read from a web feed and parse the result.  # feed.py import feedparser import html2text Cached_Feeds = dict() def _feed(url):  """Only read a feed once, by caching its contents""" if url not in _CACHED_FEEDS: Cached_Feeds[url]=feedparser.parse(url) return Cached_Feeds[url]viewer.py -  This file module contains two functions show() and show_list(). # viewer.py def show(article):  """Show one article""" print(article) def show_list(site,titles):  """Show list of articles""" print(f"The latest tutorials from {site}") for article_id,title in enumerate(titles): print(f"{article_id:>3}{title}")The function of show() is to print one article to the console. On the other hand, show_list prints a list of titles.Calling a Package You need to understand which file you should call to run the reader in cases where your package consists of four different source code files. The Python interpreter consists of an -m option that helps in specifying a module name instead of a file name.An example to execute two commands with a script hello.py:$ python hello.py Hi there! $ python -m hello Hi there!The two commands above are equivalent. However, the latter one with -m has an advantage. You can also call Python built-in modules with the help of it: $ python -m antigravity Created new window in existing browser session.The -m option also allows you to work with packages and modules:$ python -m reader ...The reader only refers to the directory. Python looks out for the file named __main__.py, if the file is found, it is executed otherwise an error message is printed: $ python -m math python: No code object available for mathPreparing Your PackageSince now you have got your package, let us understand the necessary steps that are needed to be done before the uploading process. Naming the Package Finding a good and unique name for your package is the first and one of the most difficult tasks. PyPI has more than 150,000 packages already in their list, so chances are that your favorite name might be already taken. You need to perform some research work in order to find a perfect name. You can also use the PyPI search to verify whether it is already used or not.  We will be using a more descriptive name and call it realpython-reader so that the reader package can be easily found on PyPI and then use it to install the package using pip:$ pip install realpython-readerHowever, the name we have given is realpython-reader but when we import it, it is still called as reader:>>> import reader >>> help(reader) >>> from reader import feed >>> feed.get_titles() ['How to Publish an Open-Source Python Package to PyPI', ...]You can use a variety of names for your package while importing on PyPI but it is suggested to use the same name or similar ones for better understanding. Configuring your PackageYour package should be included with some basic information which will be in the form of a setup.py file. The setup.py is the only fully supported way of providing information, though Python consists of initiatives that are used to simplify this collection of information.The setup.py file should be placed in the top folder of your package. An example of a setup.py  for reader: import pathlib from setuptools import setup # The directory containing this file HERE = pathlib.Path(__file__).parent # The text of the README file README = (HERE/"README.md").read_text() # This call to setup() does all the work setup( name="realpython-reader",  version="1.0.1",  descp="The latest Python tutorials",  long_descp=README, long_descp_content="text/markdown",  URL="https://github.com/realpython/reader",  author="Real Python",  authoremail="office@realpython.com",  license="MIT",  classifiers=[  "License :: OSI Approved :: MIT License",  "Programming Language :: Python :: 3",  "Programming Language :: Python :: 3.7",  ],  packages=["reader"],  includepackagedata=True,  installrequires=["feedparser","html2text"],  entrypoints={  "console_scripts":[  "realpython=reader.__main__:main",  ]  },  ) The necessary parameters available in setuptools in the call to setup() are as follows: name - The name of your package as being appeared on PyPI version - the present version of your package packages - the packages and subpackages which contain your source code You will also have to specify any subpackages if included. setuptools contains find_packages() whose job is to discover all your subpackages. You can also use it in the reader project:from setuptools import find_packages,setup  setup(  ... packages=find_packages(exclude=("tests",)), ... ) You can also add more information along with name, version, and packages which will make it easier to find on PyPI.Two more important parameters of  setup() : install_requires - It lists the dependencies your package has to the third-party libraries. feedparser and html2text are listed since they are the dependencies of reader.entry_points - It creates scripts to call a function within your package. Our script realpython calls the main() within the reader/__main__.py file.Documenting Your PackageDocumenting your package before releasing it is an important step. It can be a simple README file or a complete tutorial webpage like galleries or an API reference.  At least a README file with your project should be included at a minimum which should give a quick description of your package and also inform about the installation process and how to use it. In other words, you need to include your README as the long_descp argument to setup() which will eventually be displayed on PyPI. PyPI uses Markdown for package documentation. You can use the setup() parameter long_description_content_type to get the PyPI format you are working with. When you are working with bigger projects and want to add more documentation to your package, you can take the help of websites like GitHub and Read the Docs. Versioning Your Package Similarly like documentation, you need to add a version to your package. PyPI promises reproducibility by allowing a user to do one upload of a particular version for a package. If there are two systems with the same version of a package, it will behave in an exact manner. PEP 440 of Python provides a number of schemes for software versioning. However, for a simple project, let us stick to a simple versioning scheme. A simple versioning technique is semantic versioning which has three components namely MAJOR, MINOR, and PATCH and some simple rules about the incrementation process of each component: Increment the MAJOR version when you make incompatible API changes. Increment the MINOR version when you add functionality in a backward-compatible manner. Increment the PATCH version when you make backward-compatible bug fixes. (Source) You need to specify the different files inside your project. Also, if you want to verify whether the version numbers are consistent or not, you can do it using a tool called Bumpversion: $ pip install bumpversionAdding Files To Your PackageYour package might include other files other than source code files like data files, binaries, documentation and configuration files. In order to add such files, we will use a manifest file. In most cases, setup() creates a manifest that includes all code files as well as README files.   However, if you want to change the manifest, you can create a manifest template of your own. The file should be called MANIFEST.in and it will specify rules for what needs to be included and what needs to be excluded: include reader/*.txtThis will add all the .txt files in the reader directory. Other than creating the manifest, the non-code files also need to be copied. This can be done by setting the include_package_data toTrue: setup(  ... include_package_data=True,  ... )Publishing to PyPI For publishing your package to the real world, you need to first start with registering yourself on PyPI and also on TestPyPI, which is useful because you can give a trial of the publishing process without any further consequences. You will have to use a tool called Twine to upload your package ton PyPI: $ pip install twineBuilding Your PackageThe packages on PyPI are wrapped into distribution packages, out of which the most common are source archives and Python wheels. A source archive comprises of your source code and other corresponding support files wrapped into one tar file. On the other hand, a Python wheel is a zip archive that also contains your code. However, the wheel can work with any extensions, unlike source archives. Run the following command in order to create a source archive and a wheel for your package: $ python setup.py sdist bdist_wheelThe command above will create two files in a newly created directory called dist, a source archive and a wheel: reader/ │  └── dist/      ├── realpython_reader-1.0.0-py3-none-any.whl      └── realpython-reader-1.0.0.tar.gz The command-line arguments like the sdist and bdist_wheel arguments are all implemented int the upstream distutils standard library. Using the --help-commands option, you list all the available arguments: $ python setup.py --help-commands  Standard commands:    build             build everything needed to install    build_py          "build" pure Python modules (copy to build directory)    < ... many more commands ...>Testing Your Package In order to test your package, you need to check whether the distribution packages you have newly created contain the expected files. You also need to list the contents of the tar source archive on Linux and macOS platforms: $ tar tzf realpython-reader-1.0.0.tar.gz  realpython-reader-1.0.0/  realpython-reader-1.0.0/setup.cfg  realpython-reader-1.0.0/README.md  realpython-reader-1.0.0/reader/  realpython-reader-1.0.0/reader/feed.py  realpython-reader-1.0.0/reader/__init__.py  realpython-reader-1.0.0/reader/viewer.py  realpython-reader-1.0.0/reader/__main__.py  realpython-reader-1.0.0/reader/config.txt  realpython-reader-1.0.0/PKG-INFO  realpython-reader-1.0.0/setup.py  realpython-reader-1.0.0/MANIFEST.in  realpython-reader-1.0.0/realpython_reader.egg-info/  realpython-reader-1.0.0/realpython_reader.egg-info/SOURCES.txt  realpython-reader-1.0.0/realpython_reader.egg-info/requires.txt  realpython-reader-1.0.0/realpython_reader.egg-info/dependency_links.txt  realpython-reader-1.0.0/realpython_reader.egg-info/PKG-INFO  realpython-reader-1.0.0/realpython_reader.egg-info/entry_points.txt  realpython-reader-1.0.0/realpython_reader.egg-info/top_level.txt On Windows, you can make use of the utility tool 7-zip to look inside the corresponding zip file. You should make sure that all the subpackages and supporting files are included in your package along with all the source code files as well as the newly built files. You can also run twine check on the files created in dist to check if your package description will render properly on PyPI: $ twine check dist/* Checking distribution dist/realpython_reader-1.0.0-py3-none-any.whl: Passed  Checking distribution dist/realpython-reader-1.0.0.tar.gz: Passed Uploading Your PackageNow you have reached the final step,i.e. Uploading your package to PyPI. Make sure you upload your package first to TestPyPI to check whether it is working according to your expectation and then use the Twine tool and instruct it to upload your newly created distribution: $ twine upload --repository-url https://test.pypi.org/legacy/ dist/* After the uploading process is over, you can again go to TestPyPI and look at your project being displayed among the new releases.  However, if you have your own package to publish, the command is short: $ twine upload dist/* Give your username and password and it’s done. Your package has been published on PyPI. To look up your package, you can either search it or look at the Your projects page or you can just directly go to the URL of your project: pypi.org/project/your-package-name/. After completing the publishing process, you can download it in your system using pip: $ pip install your-package-nameMiscellaneous Tools There are some useful tools that are good to know when creating and publishing Python packages. Some of these are mentioned below. Virtual Environments Each virtual environment has its own Python binary and can also have its own set of installed Python packages in its directories. These packages are independent in nature. Virtual environments are useful in situations where there are a variety of requirements and dependencies while working with different projects. You can grab more information about virtual environments in  the following references: Python Virtual Environments Pipenv It is recommended to check your package inside a basic virtual environment so that to make sure all necessary dependencies in your setup.py file are included. Cookiecutter Cookiecutter sets up your project by asking a few questions based on a template. Python contains many different templates. Install Cookiecutter using pip: $ pip install cookiecutterTo understand cookiecutter, we will use a template called pypackage-minimal. If you want to use a template, provide the link of the template to the cookiecutter: $ cookiecutter https://github.com/kragniz/cookiecutter-pypackage-minimal  author_name [Louis Taylor]: Real Python  author_email [louis@kragniz.eu]: office@realpython.com  package_name [cookiecutter_pypackage_minimal]: realpython-reader  package_version [0.1.0]:  package_description [...]: Read Real Python tutorials  package_url [...]: https://github.com/realpython/reader  readme_pypi_badge [True]:  readme_travis_badge [True]: False  readme_travis_url [...]: Cookiecutter sets up your project after you have set up answered a series of questions. The template above will create the following files and directories: realpython-reader/  │  ├── realpython-reader/  │   └── __init__.py  │  ├── tests/  │   ├── __init__.py  │   └── test_sample.py  │  ├── README.rst  ├── setup.py  └── tox.ini You can also take a look at the documentation of cookiecutter for all the available cookiecutters and how to create your own template. Summary Let us sum up the necessary steps we have learned in this article so far to publish your own package - Finding a good and unique name for your packageConfiguring your package using setup.py Building your package Publishing your package to PyPI Moreover, you have also learned to use a few new tools that help in simplifying the process of publishing packages.  You can reach out to Python’s Packaging Authority for more detailed and comprehensive information. To gain more knowledge about Python tips and tricks, check our Python tutorial and get a good hold over coding in Python by joining the Python certification course. 

What is PyPI & How To Publish An Open-Source Python Package to PyPI

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What is PyPI & How To Publish An Open-Source Python Package to PyPI

The Python Standard Library comprises of sophisticated and robust capabilities for working with larger packages. You will find modules for working with sockets and with files and file paths.

Though there might be great packages that Python comes with, there are more exciting and fantastic projects outside the standard library which are mostly called the Python Packaging Index (PyPI). It is nothing but a repository of software for the Python programming language.

The PyPI package is considered as an important property for Python being a powerful language. You can get access to thousands of libraries starting from Hello World to advanced deep learning libraries.

What is PyPI

"PyPI" should be pronounced like "pie pea eye", specifically with the "PI" pronounced as individual letters, but rather as a single sound. This minimizes confusion with the PyPy project, which is a popular alternative implementation of the Python language.

The Python Package Index, abbreviated as PyPI is also known as the Cheese Shop. It is the official third-party software repository for Python, just like CPAN is the repository for  Perl.  Some package managers such as pip, use PyPI as the default source for packages and their dependencies. More than 113,000 Python packages can be accessed through PyPI.

How to use PyPI

To install the packages from PyPI you would need a package installer. The recommended package installer for PyPI is ‘pip’. Pip is installed along when you install Python on your system. To learn more about ‘pip’, you may go through our article on “What is pip”. The pip command is a tool for installing and managing Python packages, such as those found in the Python Package Index. It is a replacement for easy_install.

To install a package from the Python Package Index, just open up your terminal and type in a search query using the PIP tool. The most common usage for pip is to install, upgrade or uninstall a package. 

Starting with a Small Python Package

We will start with a small Python package that we will use as an example to publish to PyPI. You can get the full source code from the GitHub repository. The package is called reader and it is an application by which you can download and read articles. 

Below shows the directory structure of reader :

reader/ 
│ 
├── reader/ 
│   ├── config.txt 
│   ├── feed.py 
│   ├── __init__.py 
│   ├── __main__.py 
│   └── viewer.py 
│ 
├── tests/ 
│   ├── test_feed.py 
│   └── test_viewer.py 
│ 
├── MANIFEST.in 
├── README.md 
└── setup.py 

The source code of the package is in a reader subdirectory that is bound with a configuration file. The GitHub repository also contains few tests in a separate subdirectory. 

In the coming sections, we will discuss the working of the reader package and also take a look at the special files which include setup.py, README.md, MANIFEST.in, and others. 

Using the Article Reader

The reader is a primitive data format used for providing users with the latest updated content. You can download the frequent articles from the article feed with the help of reader

You can get the list of articles using the reader:

$ python -m reader
The latest tutorials from Real Python (https://realpython.com/)
  0 How to Publish an Open-Source Python Package to PyPI
  1 Python "while" Loops (Indefinite Iteration)
  2 Writing Comments in Python (Guide)
  3 Setting Up Python for Machine Learning on Windows
  4 Python Community Interview With Michael Kennedy
  5 Practical Text Classification With Python and Keras
  6 Getting Started With Testing in Python
  7 Python, Boto3, and AWS S3: Demystified
  8 Python's range() Function (Guide)
  9 Python Community Interview With Mike Grouchy
 10 How to Round Numbers in Python
 11 Building and Documenting Python REST APIs With Flask and Connexion – Part 2
 12 Splitting, Concatenating, and Joining Strings in Python
 13 Image Segmentation Using Color Spaces in OpenCV + Python
 14 Python Community Interview With Mahdi Yusuf
 15 Absolute vs Relative Imports in Python
 16 Top 10 Must-Watch PyCon Talks
 17 Logging in Python
 18 The Best Python Books
 19 Conditional Statements in Python

The articles in the list are numbered. So if you want to read a particular article, you can just write the same command along with the number of the article you desire to read.

For reading the article on “How to Publish an Open-Source Python Package to PyPI”, just add the serial number of the article:

$ python -m reader 0 
# How to Publish an Open-Source Python Package to PyPI 

Python is famous for coming with batteries included. Sophisticated 
capabilities are available in the standard library. You can find modules 
for working with sockets, parsing CSV, JSON, and XML files, and 
working with files and file paths.

However great the packages included with Python are, there are many 
fantastic projects available outside the standard library. These are 
most often hosted at the Python Packaging Index (PyPI), historically 
known as the Cheese Shop. At PyPI, you can find everything from Hello 
World to advanced deep learning libraries. 
... 
... 
...

You can read any of the articles in the list just by changing the article number with the command. 

Quick Look

The package comprises of five files which are the working hands of the reader. Let us understand the implementations one by one: 

  • config.txt -  It is a text configuration file that specifies the URL of the feed of articles. The configparser standard library is able to read the text file. This type of file contains key-value pairs that are distributed into different sections.  
# config.txt
[feed]
url=https://realpython.com/atom.xml
  • __main__.py - It is the entry point of your program whose duty is to control the main flow of the program. The double underscores denote the specialty of this file. Python executes the contents of the __main__.py file. 
# __main__.py
from configparser import ConfigParser 
from importlib import resources 
import sys

from reader import feed 
from reader import viewer

def main():
    # Read URL of the Real Python feed from config file 
    configure=ConfigParser()
    configure.read_string(resources.readtext("reader","config.txt")) 
    URL=configure.get("feed","url")

    # If an article ID is given, show the article 
    if len(sys.argv) > 1: 
        article = feed.getarticle(URL, sys.argv[1]) 
        viewer.show(article)

    # If no ID is given, show a list of all articles 
    else:
      site = feed.getsite(URL) 
      titles = feed.gettitles(URL) 
      viewer.showlist(site,titles) 
if __name__ == "__main__":
   main() 
  • __init__.py - It is also considered a special file because of the double underscore. It denotes the root of your package in which you can keep your package constants, your documentations and so on. 
# __init__.py

# Version of the realpython-reader package 
__version__= "1.0.0"

__version__ is a special variable in Python used for adding numbers to your package which was introduced in PEP 396. The variables which are defined in __init__.py are available as variables in the namespace also. 

>>> import reader
>>> reader.__version__
'1.0.0'
  • feed.py - In the __main__.py, you can see two modules feed and viewer are imported which perform the actual work. The file feed.py  is used to read from a web feed and parse the result.  
# feed.py

 import feedparser
 import html2text

Cached_Feeds = dict()

def _feed(url): 
   """Only read a feed once, by caching its contents"""
  if url not in _CACHED_FEEDS:
      Cached_Feeds[url]=feedparser.parse(url)
  return Cached_Feeds[url]
  • viewer.py -  This file module contains two functions show() and show_list()
# viewer.py

def show(article): 
"""Show one article""" 
print(article)

 def show_list(site,titles): 
"""Show list of articles"""
print(f"The latest tutorials from {site}")
for article_id,title in enumerate(titles):
print(f"{article_id:>3}{title}")

The function of show() is to print one article to the console. On the other hand, show_list prints a list of titles.

Calling a Package 

You need to understand which file you should call to run the reader in cases where your package consists of four different source code files. The Python interpreter consists of an -m option that helps in specifying a module name instead of a file name.

An example to execute two commands with a script hello.py:

$ python hello.py
Hi there!

$ python -m hello
Hi there!

The two commands above are equivalent. However, the latter one with -m has an advantage. You can also call Python built-in modules with the help of it: 

$ python -m antigravity
Created new window in existing browser session.

The -m option also allows you to work with packages and modules:

$ python -m reader
...

The reader only refers to the directory. Python looks out for the file named __main__.py, if the file is found, it is executed otherwise an error message is printed: 

$ python -m math
python: No code object available for math

Preparing Your Package

Since now you have got your package, let us understand the necessary steps that are needed to be done before the uploading process. 

Naming the Package 

Finding a good and unique name for your package is the first and one of the most difficult tasks. PyPI has more than 150,000 packages already in their list, so chances are that your favorite name might be already taken. 

You need to perform some research work in order to find a perfect name. You can also use the PyPI search to verify whether it is already used or not.  

We will be using a more descriptive name and call it realpython-reader so that the reader package can be easily found on PyPI and then use it to install the package using pip:

$ pip install realpython-reader

However, the name we have given is realpython-reader but when we import it, it is still called as reader:

>>> import reader
>>> help(reader)

>>> from reader import feed
>>> feed.get_titles()
['How to Publish an Open-Source Python Package to PyPI', ...]

You can use a variety of names for your package while importing on PyPI but it is suggested to use the same name or similar ones for better understanding. 

Configuring your Package

Your package should be included with some basic information which will be in the form of a setup.py file. The setup.py is the only fully supported way of providing information, though Python consists of initiatives that are used to simplify this collection of information.

The setup.py file should be placed in the top folder of your package. An example of a setup.py  for reader

import pathlib
from setuptools import setup

# The directory containing this file
HERE = pathlib.Path(__file__).parent

# The text of the README file
README = (HERE/"README.md").read_text()

# This call to setup() does all the work
setup(
   name="realpython-reader", 
   version="1.0.1", 
   descp="The latest Python tutorials", 
   long_descp=README,
   long_descp_content="text/markdown", 
   URL="https://github.com/realpython/reader", 
   author="Real Python", 
   authoremail="office@realpython.com", 
   license="MIT", 
   classifiers="License :: OSI Approved :: MIT License""Programming Language :: Python :: 3""Programming Language :: Python :: 3.7", 
   ], 
   packages=["reader"], 
   includepackagedata=True, 
   installrequires=["feedparser","html2text"], 
   entrypoints="console_scripts":[ 
           "realpython=reader.__main__:main", 
       ] 
   }, 
 ) 

The necessary parameters available in setuptools in the call to setup() are as follows: 

  • name - The name of your package as being appeared on PyPI 
  • version - the present version of your package 
  • packages - the packages and subpackages which contain your source code 

You will also have to specify any subpackages if included. setuptools contains find_packages() whose job is to discover all your subpackages. You can also use it in the reader project:

from setuptools import find_packages,setup 
setup( 
    ...
    packages=find_packages(exclude=("tests",)),
    ...
) 

You can also add more information along with name, version, and packages which will make it easier to find on PyPI.

Two more important parameters of  setup() : 

  • install_requires - It lists the dependencies your package has to the third-party libraries. feedparser and html2text are listed since they are the dependencies of reader.
  • entry_points - It creates scripts to call a function within your package. Our script realpython calls the main() within the reader/__main__.py file.

Documenting Your Package

Documenting your package before releasing it is an important step. It can be a simple README file or a complete tutorial webpage like galleries or an API reference.  

At least a README file with your project should be included at a minimum which should give a quick description of your package and also inform about the installation process and how to use it. In other words, you need to include your README as the long_descp argument to setup() which will eventually be displayed on PyPI. 

PyPI uses Markdown for package documentation. You can use the setup() parameter long_description_content_type to get the PyPI format you are working with. 

When you are working with bigger projects and want to add more documentation to your package, you can take the help of websites like GitHub and Read the Docs

Versioning Your Package 

Similarly like documentation, you need to add a version to your package. PyPI promises reproducibility by allowing a user to do one upload of a particular version for a package. If there are two systems with the same version of a package, it will behave in an exact manner. 

PEP 440 of Python provides a number of schemes for software versioning. However, for a simple project, let us stick to a simple versioning scheme. 

A simple versioning technique is semantic versioning which has three components namely MAJOR, MINOR, and PATCH and some simple rules about the incrementation process of each component: 

  • Increment the MAJOR version when you make incompatible API changes. 
  • Increment the MINOR version when you add functionality in a backward-compatible manner. 
  • Increment the PATCH version when you make backward-compatible bug fixes. (Source

You need to specify the different files inside your project. Also, if you want to verify whether the version numbers are consistent or not, you can do it using a tool called Bumpversion

$ pip install bumpversion

Adding Files To Your Package

Your package might include other files other than source code files like data files, binaries, documentation and configuration files. In order to add such files, we will use a manifest file. In most cases, setup() creates a manifest that includes all code files as well as README files.   

However, if you want to change the manifest, you can create a manifest template of your own. The file should be called MANIFEST.in and it will specify rules for what needs to be included and what needs to be excluded: 

include reader/*.txt

This will add all the .txt files in the reader directory. Other than creating the manifest, the non-code files also need to be copied. This can be done by setting the include_package_data toTrue

setup( 
    ...
    include_package_data=True...
)

Publishing to PyPI 

For publishing your package to the real world, you need to first start with registering yourself on PyPI and also on TestPyPI, which is useful because you can give a trial of the publishing process without any further consequences. 

You will have to use a tool called Twine to upload your package ton PyPI: 

$ pip install twine

Building Your Package

The packages on PyPI are wrapped into distribution packages, out of which the most common are source archives and Python wheels. A source archive comprises of your source code and other corresponding support files wrapped into one tar file. On the other hand, a Python wheel is a zip archive that also contains your code. However, the wheel can work with any extensions, unlike source archives. 

Run the following command in order to create a source archive and a wheel for your package: 

$ python setup.py sdist bdist_wheel

The command above will create two files in a newly created directory called dist, a source archive and a wheel: 

reader/
│ 
└── dist/ 
    ├── realpython_reader-1.0.0-py3-none-any.whl 
    └── realpython-reader-1.0.0.tar.gz 

The command-line arguments like the sdist and bdist_wheel arguments are all implemented int the upstream distutils standard library. Using the --help-commands option, you list all the available arguments: 

$ python setup.py --help-commands 
Standard commands: 
  build             build everything needed to install 
  build_py          "build" pure Python modules (copy to build directory) 
  < ... many more commands ...>

Testing Your Package 

In order to test your package, you need to check whether the distribution packages you have newly created contain the expected files. You also need to list the contents of the tar source archive on Linux and macOS platforms: 

$ tar tzf realpython-reader-1.0.0.tar.gz 
realpython-reader-1.0.0/ 
realpython-reader-1.0.0/setup.cfg 
realpython-reader-1.0.0/README.md 
realpython-reader-1.0.0/reader/ 
realpython-reader-1.0.0/reader/feed.py 
realpython-reader-1.0.0/reader/__init__.py 
realpython-reader-1.0.0/reader/viewer.py 
realpython-reader-1.0.0/reader/__main__.py 
realpython-reader-1.0.0/reader/config.txt 
realpython-reader-1.0.0/PKG-INFO 
realpython-reader-1.0.0/setup.py 
realpython-reader-1.0.0/MANIFEST.in 
realpython-reader-1.0.0/realpython_reader.egg-info/ 
realpython-reader-1.0.0/realpython_reader.egg-info/SOURCES.txt 
realpython-reader-1.0.0/realpython_reader.egg-info/requires.txt 
realpython-reader-1.0.0/realpython_reader.egg-info/dependency_links.txt 
realpython-reader-1.0.0/realpython_reader.egg-info/PKG-INFO 
realpython-reader-1.0.0/realpython_reader.egg-info/entry_points.txt 
realpython-reader-1.0.0/realpython_reader.egg-info/top_level.txt 

On Windows, you can make use of the utility tool 7-zip to look inside the corresponding zip file. 

You should make sure that all the subpackages and supporting files are included in your package along with all the source code files as well as the newly built files. 

You can also run twine check on the files created in dist to check if your package description will render properly on PyPI: 

$ twine check dist/*
Checking distribution dist/realpython_reader-1.0.0-py3-none-any.whl: Passed 
Checking distribution dist/realpython-reader-1.0.0.tar.gz: Passed 

Uploading Your Package

Now you have reached the final step,i.e. Uploading your package to PyPI. Make sure you upload your package first to TestPyPI to check whether it is working according to your expectation and then use the Twine tool and instruct it to upload your newly created distribution: 

$ twine upload --repository-url https://test.pypi.org/legacy/ dist/* 

After the uploading process is over, you can again go to TestPyPI and look at your project being displayed among the new releases.  

However, if you have your own package to publish, the command is short: 

$ twine upload dist/* 

Give your username and password and it’s done. Your package has been published on PyPI. To look up your package, you can either search it or look at the Your projects page or you can just directly go to the URL of your project: pypi.org/project/your-package-name/

After completing the publishing process, you can download it in your system using pip: 

$ pip install your-package-name

Miscellaneous Tools 

There are some useful tools that are good to know when creating and publishing Python packages. Some of these are mentioned below. 

Virtual Environments 

Each virtual environment has its own Python binary and can also have its own set of installed Python packages in its directories. These packages are independent in nature. Virtual environments are useful in situations where there are a variety of requirements and dependencies while working with different projects. 

You can grab more information about virtual environments in  the following references: 

It is recommended to check your package inside a basic virtual environment so that to make sure all necessary dependencies in your setup.py file are included. 

Cookiecutter 

Cookiecutter sets up your project by asking a few questions based on a template. Python contains many different templates. 

Install Cookiecutter using pip: 

$ pip install cookiecutter

To understand cookiecutter, we will use a template called pypackage-minimal. If you want to use a template, provide the link of the template to the cookiecutter: 

$ cookiecutter https://github.com/kragniz/cookiecutter-pypackage-minimal 
author_name [Louis Taylor]: Real Python 
author_email [louis@kragniz.eu]: office@realpython.com 
package_name [cookiecutter_pypackage_minimal]: realpython-reader 
package_version [0.1.0]: 
package_description [...]: Read Real Python tutorials 
package_url [...]: https://github.com/realpython/reader 
readme_pypi_badge [True]: 
readme_travis_badge [True]: False 
readme_travis_url [...]: 

Cookiecutter sets up your project after you have set up answered a series of questions. The template above will create the following files and directories: 

realpython-reader/ 
│ 
├── realpython-reader/ 
│   └── __init__.py 
│ 
├── tests/ 
│   ├── __init__.py 
│   └── test_sample.py 
│ 
├── README.rst 
├── setup.py 
└── tox.ini 

You can also take a look at the documentation of cookiecutter for all the available cookiecutters and how to create your own template. 

Summary 

Let us sum up the necessary steps we have learned in this article so far to publish your own package - 

  • Finding a good and unique name for your package
  • Configuring your package using setup.py 
  • Building your package 
  • Publishing your package to PyPI 

Moreover, you have also learned to use a few new tools that help in simplifying the process of publishing packages.  

You can reach out to Python’s Packaging Authority for more detailed and comprehensive information. To gain more knowledge about Python tips and tricks, check our Python tutorial and get a good hold over coding in Python by joining the Python certification course

Priyankur

Priyankur Sarkar

Data Science Enthusiast

Priyankur Sarkar loves to play with data and get insightful results out of it, then turn those data insights and results in business growth. He is an electronics engineer with a versatile experience as an individual contributor and leading teams, and has actively worked towards building Machine Learning capabilities for organizations.

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Having a programming certification will give you an edge over other peers and will highlight your coding skills.Most Popular Programming CertificationsC & C++ CertificationsOracle Certified Associate Java Programmer OCAJPCertified Associate in Python Programming (PCAP)MongoDB Certified Developer Associate ExamR Programming CertificationOracle MySQL Database Administration Training and Certification (CMDBA)CCA Spark and Hadoop Developer1. CCA Spark and Hadoop DeveloperRegardless of your specialization in your UG or PG courses, clearing a developer-rated certification will not only make your resume stand out from others but also enhance your skills and boost your confidence. We have curated the top-most and popularly available certifications with descriptions that can help you decide which one is appropriate for your career path.C & C++ Certifications: C and C++ are often called the mother of Procedure-oriented and Object-oriented programming languages, which is absolutely true. 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The C Programming Language Certified Associate (CLA) and C++ Certified Associate Programmer (CPA) are the core and first-level C and C++ certifications.CLA comprises of topics likeIntroduction to compiling and software development;Basic scalar data types and their operators;Flow control;Complex data types: arrays, structures and pointers;Memory management;Files and streams;Structuring the code: functions and modules;Preprocessor directives and complex declarations.CPA comprises of topics likeIntroduction to compiling and software development;Basic scalar data types, operators, flow control, streamed input/output, conversions;Declaring, defining and invoking functions, function overloading;Data aggregates;String processing, exceptions handling, dealing with namespaces;Object-oriented approach and its vocabulary;Dealing with classes and objects, class hierarchy and inheritance;Defining overloaded operators, user-defined operators, exceptions;Demand and Benefits: Having a CLA certification verifies that the programmer or the aspirant has an understanding of all the necessary and essential universal concepts of computer programming and developer tools. The course also covers all the syntax and semantics of different C constructs plus the data types offered by the language. This course brings crisp knowledge on writing programs using standard language infrastructure regardless of the hardware or software platform.A C++ Certified Associate Programmer (CPA) certification will give you an upper hand because it comprises syntax and semantics of the C++ language plus basic C++ data types. Apart from that, it contains principles of the object-oriented model and C++ implementation. Also, you will get to know about the various C++ standard libraries through this certification process. The average entry-level salary of a C/C++ developer with this certification will be $ 7,415 per annum. With two to three years of experience, the average salary hikes to $ 10,593 annually.Top companies and industries hiring CLA and CPA are Philips, Calsoft Pvt. Ltd., Cognizant, Synopsys Inc., private universities, Mphasis, etc.Where to take Training for Certification: CPP Institute has all the study resources you need to prepare for this examination. Apart from that, you can study from YouTube free resources.Who should take the Training (roles) for Certification: Any programmer or computer science aspirant - who wants to expand their knowledge of C/C++ or start their career as a C/C++ programmer or developer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fees for Certification:CLA Certification: $ 147.50 (50% discount voucher)CPA Certification: $ 147.50 (50% discount voucher)Exam fee for certification:CLA Certification: $ 295CPA Certification: $ 295Retake fee for certification: Aspirants who have paid the complete exam price (USD 295) or have completed a course aligned with certification in the self-study mode (50% discount voucher) can have a free retake of the CPA or CLA exam. There is no limit to the number of times a candidate may retake the exam. You must wait 15 days before being allowed to re-sit that exam.2. Oracle Certified Associate Java Programmer OCAJPThis is a Java programming certification provided by Oracle. Java is among the most popular programming languages. James Gosling is the creator of Java which was earlier named Oak. It is a robust, high-level, general-purpose, pure object-oriented programming language developed by Sun Microsystems (now part of Oracle). Java consistently tops the 'most used programming languages’ list and is one of the most extensively used software development platforms. If you have the plan to get a proper training course online before appearing for the certification exam, KnowledgeHut (https://www.knowledgehut.com/programming/java-training) has that for you.It is the preliminary and most basic certification provided by Oracle for Java. It helps gain fundamental understanding of Java programming and builds a foundation in Java and other general programming concepts. The certification encompasses two subcategories –OCAJP Java Standard Edition 8 (OCAJP 8) and  OCAJP Java Standard Edition 11 (OCAJP 11)It comprises of topics likeJava BasicsWorking with Java Data TypesUsing Operators and Decision ConstructsCreating and Using ArraysUsing Loop ConstructsWorking with Methods and EncapsulationWorking with InheritanceHandling ExceptionsClass Methods and EncapsulationDescribing and Using Objects and ClassesHandling ExceptionsJava Technology and the Java Development EnvironmentInheritance and InterfacesUnderstanding ModulesUsing Operators and Decision ConstructsWorking with Java ArraysWorking with Selected classes, Java Primitive Data Types and String APIsDemand and Benefits: Having an OCAJP certification verifies that the aspirant has all the necessary and essential skills to become an expert Java developer. This certification also helps in getting an internship or entry-level jobs in different organizations. The entry-level salary of a junior Java developer with this certification is $ 3670 per annum; when the candidate gathers two to three years of experience, the average salary hikes to $ 5430 annually.Top companies and industries hiring Oracle Certified Associate Java Programmers are Smart Monitor Pvt. Ltd., Fiserv, Micron Semiconductor Asia Pvt. Ltd., private universities and many others.Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for beginners in Java programming. It has workshops with hands-on learning and 40 hours of instructor-led online lectures. Apart from that, Oracle also provides exam vouchers for this certification course.Who should take the Training (roles) for Certification: Any programmer or computer science aspirant - who wants to settle as a Java developer or start his/her career as a Java programmer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fee for Certification: $ 245Application fee for certification:OCAJP8: $ 245OCAJP11: $ 249Exam fee for certification:OCAJP8: $ 245OCAJP11: $ 255Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days.3. Certified Associate in Python Programming (PCAP)Python is an interpreted, general-purpose, and high-level programming language developed by Guido Van Rossum. Python released in 1991 and within 5 to 6 years, this programming language become the most popular and widely used programming language in various disciplines. Today, companies use Python for GUI and CLI-based software development, web development (server-side), data science, machine learning, AI, robotics, drone systems, developing cyber-security tools, mathematics, system scripting, etc. PCAP is a professional Python certification credential that measures your competency in using the Python language to create code and your fundamental understanding of object-oriented programming.It comprises of topics likeBasic concepts of PythonOperators & data typesControl and EvaluationsModules and PackagesData AggregatesException HandlingStringsFunctions and ModulesObject-Oriented ProgrammingList Comprehensions, Lambdas, Closures, and I/O OperationsClasses, Objects, and ExceptionsDemand and Benefits: Having a Python certification verifies that the programmer or the aspirant has all the necessary and essential skills needed to become an expert Python developer. This certification also helps in getting an internship or entry-level jobs in different organizations. The average entry-level salary of a Python developer starts at around $100k per annum. With a few years of experience, the average salary hikes to $ 105k annually.Top companies and organizations hiring certified Python programmers are Bank of America, Atlassian, Google, Adobe, Apple, Cisco Systems, Intel, Lyft, IBM, etc.Where to take Training for Certification: KnowledgeHut has a fascinating course opportunity for beginners in Python programming. It has hands-on learning with 24 hours of instructor-led online lectures. Apart from that, the course has 100 hours of MCQs and three live projects.Who should take the Training (roles) for Certification: Any programmer, graduate, post graduate student, or computer science aspirant - who wants to pursue a career as a Python developer or  Python programmer can opt for this certification training. There is no other prerequisite to appear for this exam.Course fees for Certification:  $ 295Exam fee for certification: $ 295Retake fee for certification: If a candidate fails the exam, he/she has to wait for 15 days before being allowed to retake the exam for free. There is no limit to the number of times a candidate may retake an exam.4. MongoDB Certified Developer Associate ExamMongoDB is a NoSQL, document-based high-volume heterogeneous database system. Instead of having tables with rows and columns, MongoDB uses a collection of documents. It is a database development system that provides scalability and flexibility as per query requirements. Its document models are easy to implement for developers and can meet complex demands at scale.MongoDB created this MongoDB Certified Developer Associate Exam for individuals who require to verify their knowledge on fundamentals of designing and building applications using MongoDB. They recommend this certification for those who want to become software engineers and have a solid understanding of core MongoDB along with professional experience.It comprises of topics likeMongoDB BasicsCRUDIndexing and PerformanceThe MongoDB Aggregation FrameworkBasic Cluster AdministrationAggregation & ReplicationShardingMongoDB Performance  MongoDB for Python DevelopersMongoDB for Java Developers or MongoDB for JavaScript DevelopersData ModelingDemand and Benefits: Having a MongoDB Certified Developer Associate Exam certification verifies that the programmer or the aspirant has all the necessary and essential skills to become a NoSQL database expert. The MongoDB certification is inexpensive and in demand. The average salary for a software developer with MongoDB skills starts from $ 8200 per annum.Top companies and organizations hiring certified MongoDB developers are Accenture, Collabera, Leoforce LLC., Adobe, Trigent Software, Lyft, etc.Where to take Training for Certification: KnowledgeHut has a comprehensive course structure for those who want to learn MongoDB & Mongodb Administrator. It has 24+ hours of instructor-led online lectures and 80+ hours of hands-on with cloud labs. This self-paced course also includes capstone projects to give participants a feel of real world working.  Who should take the Training (roles) for Certification: Any programmer, graduate, post graduate student, experienced developer or computer science aspirant - who wants to embark on a career as a MongoDB developer or start his/her career as a NoSQL database expert or do better in their current role as a MongoDB developer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fees for Certification:  $ 150Exam fee for certification: $ 150Retake fee for certification: MongoDB University is no longer allowing a free retake with the exam fee. The candidate has to pay an additional $10 to reschedule or retake the exam.5. R Programming CertificationIt is a part of the data science specialization from Johns Hopkins University under Coursera. This course teaches R programming for efficient data analysis. It covers different R programming concepts like building blocks of R, datatypes, reading data into R from external files, accessing packages, writing functions, debugging techniques, profiling R code, and performing analysis.It comprises of topics like:Basic building blocks in RData types in RControl StructuresScoping Rules - OptimizationCoding StandardsDates and TimesFunctionsLoopingDebugging toolsSimulating data in RR ProfilerDemand and Benefits: Having an R Programming certification verifies that the programmer or the aspirant has all the necessary and essential skills require to get a job role as data analyst. This certification also helps in getting an internship or entry-level jobs in different organizations and firms. The average salary of a certified R programmer with this certification is ₹ 508,224 per annum.Top companies and industries hiring certified R programmers are Technovatrix, CGI Group Inc., Amazon, Sparx IT Solutions, Accenture, Uber, etc.Where to take Training for Certification: KnowledgeHut has a fascinating training course for those who wants to become a R programmer. It has 22+ hours of instructor-led live training and three self-paced live projects.Who should take the Training (roles) for Certification: Any data analyst, graduate, post graduate student, experienced data analyst or computer science aspirant - who wants to settle as a R programmer or data analyst can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: FreeFee for certification: $ 60 (Coursera Plus Monthly)Retake fee for certification: Free6. Oracle MySQL Database Administration Training and Certification (CMDBA)It is another course offered by Oracle for SQL developers. Oracle University designed this course for database administrators who want to validate their skills with developing performance, blending business processes, and accomplishing data processing work. Structured Query Language (SQL) is one of the top database management query languages that allows us to access and manipulate databases. If you want to verify your database skills during a job interview or impress your peers at your workplace then this certification is worth getting. This certification path includes Professional, Specialist, and Developer levels. The candidate should pass the MySQL Database Administrator Certified Professional Exam Part 1 & Part 2 to earn the certification.It comprises of topics likeInstalling MySQLMySQL ArchitectureConfiguring MySQLUser ManagementMySQL SecurityMaintaining a Stable SystemOptimizing Query PerformanceBackup StrategiesConfiguring a Replication TopologyDemand and Benefits: Having an CMDBA certification verifies that the programmer or the aspirant has all the necessary and essential skills required to get a job role as SQL developer. This certification also helps in getting an internship or entry-level jobs in different organizations and firms. The average salary of a certified MySQL DBA or backend developer with this certification is $ 66,470 per annum.Top companies and industries hiring Certified MySQL database administrators are Fiserv, IBM, HCL, Adobe, Microsoft, Apple, Accenture, Collabera, and more.Where to take Training for Certification: KnowledgeHut has a cutting-edge curriculum for those who want to become  MySQL database administrators. It has 16+ hours of instructor-led online lectures and 80+ hours of hands-on lab. Apart from that, this self-paced course has Capstone projects.Who should take the Training (roles) for Certification: Any developer, graduate, post graduate student, experienced developer or computer science aspirant - who wants to pursue a career as a DBA or backend developer or start his/her career in database management or backend software development can opt for this certification course. There is no other prerequisite to appear for this exam or course.Course fees for Certification: $ 255Exam fee for certification: $ 255Retake fee for certification: Aspirants can retake the exam if the exam voucher has a free retake option. If the exam retake option is available, one can opt for the exam after 14 days after the initial attempt.7. CCA Spark and Hadoop DeveloperWith the exponential growth in data, IT firms and organizations have to manage this tremendous amount of data generated. So, many companies are actively looking for Big data and Spark developers who can optimize performance. Big Data is the term used to describe enormous volumes of data. Apache Spark supports data management as it is an open-source centralized analytics engine that handles large-scale data processing.It requires prerequisite knowledge of Scala and Python. This certification also verifies and showcases your skills through Spark and Hadoop projects. Passing this certification course gives you a logo and a license to authenticate your CCA status.It comprises of topics likeLoad data from HDFS for use in Spark applicationsWrite the results back into HDFS using SparkRead and write files in a variety of file formatsPerform standard extract, transform, load (ETL) processes on data using the Spark APIUse metastore tables as an input source or an output sink for Spark applicationsUnderstand the fundamentals of querying datasets in SparkFilter data using SparkWrite queries that calculate aggregate statisticsJoin disparate datasets using SparkProduce ranked or sorted dataSupply command-line options to change your application configuration, such as increasing available memoryDemand and Benefits: Passing the CCA Spark and Hadoop Developer Exam (CCA175) by Cloudera verifies that you have all the essential skills required to get a job as a Hadoop developer and handle Big data projects. The average salary of a certified CCA Spark and Hadoop Developer with this certification is $ 74,200 per annum.Top companies and industries hiring Certified Spark and Hadoop Developers are Primus Global, IBM, Collabera, CorroHealth, Genpact, Xerox, Accenture, and more.Where to take Training for Certification: KnowledgeHut has extensive courses for those who want to become Big Data experts and want to work as Hadoop developers. It has different courses on Big Data Analytics, Apache Storm, Hadoop Administration, Apache Spark & Scala, Big Data with Hadoop, and more.Who should take the Training (roles) for Certification: Any Big Data developer, graduate & post graduate students, Hadoop developer or computer science aspirant - who wants to make a career in Big data development or start his/her career as a Big Data or Hadoop project developer can opt for this certification course. There is no other prerequisite to appear for this exam.Course fees for Certification: $ 295Application fee for certification: $ 295Exam fee for certification: $ 295Retake fee for certification: Within 30 to 60 minutes of exam completion, Cloudera will send a scorecard mail with a pass or fail status. If the candidate fails the exam, then they have to wait for 30 days for another try.  Cloudera gives additional discounts on retakes.ConclusionWhether you are starting your career as a coder or are an experienced programmer looking to grow in the industry, having a certification and proper knowledge of any popular programming language is one of the most proven ways to elevate your programming career.  We trust that this article will help you to understand your area of interest. Choose the programming language you wish to make a career in, wisely. This would also depend on your pre-existing knowledge. If you aren't sure which resource will be more informative for doing your certification as per your area of interest, KnowledgeHut (https://www.knowledgehut.com/) has all the support and expert trainers who can guide you, from start to finish—that is in clearing the exam and helping you gain sound knowledge of your preferred subject.Receiving a programming certification is an added bonus which will make you stand out from the rest. Proper training from an institute such as KnowledgeHut will help you gain skills that are relevant and in demand in the industry.
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Best Python Certifications of 2021

Programming is always at the core of computer science and Information Technology. Every year millions of programmers graduate with a degree and look for opportunities in the job market. The demand for programmers is growing exponentially, and this demand is not going anytime soon. Python was released by Python Software Foundation in 1991, and in just a few years, has become the most popular and widely used programming language in various disciplines.Python is an interpreted, general-purpose, and high-level programming language developed by Guido Van Rossum. Today, companies use Python for GUI and CLI-based software development, web development (server-side), data science, machine learning, AI, robotics, drone systems, developing cyber-security tools, mathematics, system scripting, etc.According to TIOBE index, Python ranks second among all other programming languages. KnowledgeHut has some fascinating advanced-level courses on Python, such as Machine Learning using Python and Artificial Intelligence using Python.Once you gain expertise in writing Python programs, candidates can start learning advanced-level Python libraries and modules such as Pandas, SciPy, NumPy, Matplotlib, etc. There are different options one can explore after learning Python. These are data analysis, machine learning, cybersecurity, automation, web scraping, etc.Top Python Certifications of 2021Certified Entry-Level Python Programmer (PCEP) Certified Associate in Python Programmer (PCAP) Introduction to Programming Using Python by Microsoft Certified Professional in Python Programming 1 & 2 (PCPP 1 & 2) Certified Expert in Python Programming (PEPP) During the course of your Python certification training and exam preparation, you will develop different real-world projects and get familiar with case studies. Also, there will be hands-on lab experiences in Python programming. In this article, you will get to know the top five Python certifications of 2021 that can give you the launchpad you need to embark on a successful career.   1. Certified Entry-Level Python Programmer (PCEP): The PCEP is an entry-level Python certification. To enroll in this course, you need to have a basic understanding of how procedural programming works. Also, some knowledge of flowcharts and algorithm creation will benefit you. Through this certification, an aspirant can gain the core and fundamental understanding of Python. This certification from the Python Institute will make you proficient in Python programming and help you become a Python certified professional. Aspirants and professionals can choose Python as a career option/path and climb the Python Institute’s certification ladder from associate to professional.PCEP comprises of topics like Basic formatting and outputting methods Handling Boolean values Compilation vs. interpretation Constants, Variables and Variable naming conventions Defining user-defined functions Fundamentals of computer programming Inputting and converting Data Logical vs. bitwise operations in Python Looping and control statements Lists New data aggregates: Tuples and Dictionaries The assignment operator Primary kinds of data and numerical operators Rules governing the building of expressions Working with multi-dimensional arrays Different slicing operations Demand and Benefits: Having a PCEP certification verifies that the programmer or the aspirant has knowledge of all the necessary and fundamental Python concepts. The course also covers all the syntax and semantics of different Python constructs & data types offered by the language. This course brings crisp knowledge on general coding techniques using standard language infrastructure and basic programming skills using Python. The average entry-level salary of a Python programmer with this certification will be $ 5660 per annum. Top companies and industries hiring PCEP are Philips, Cataleya Pvt. Ltd., Deloitte, Zynga, Mphasis, VMware, etc.Where to take Training for Certification: Python Institute has all the study resources you need to prepare for this examination. Apart from that, you can join the Python course offered by KnowledgeHut  that has 24 hours of instructor-led training covering the core programming concepts like operators, control flow, functions, syntax & indentations. Who should take the Training (roles) for Certification: Any programmer or computer science aspirant, who wants to learn Python or start an internship or entry-level job as Python programmer can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: $ 295 Application fee for certification: $ 295 Exam fee for certification: $ 295 Retake fee for certification: If a candidate fails the exam, he/she can wait 15 days before being allowed to retake the exam for free. There is no limit on the number of times a candidate may retake the exam.2. Certified Associate in Python Programmer (PCAP):PCAP is another important second-level or associate-level certification exam for Python. This course and certification will give you the confidence to measure your skill and complete the Python-based coding tasks. It also facilitates competing for competitive coding sessions. This course also comprises the essential notions and concepts related to object-oriented programming. With this associated-level certification, you can stand unique in the competitive job market. PCAP comprises of topics like Basic formatting and outputting methods Python basics Using Boolean values Compilation vs. interpretation Variables and variable naming conventions Defining and using functions Fundamentals of computer programming Fundamentals of OOP  How to use OOPs in the Python programming language Generators and closures Inputting and converting of data Logical vs. bitwise operations Looping and control statements File processing for Python developers Name scope issues New data aggregates: tuples and dictionaries Primary kinds of data and numerical operators Python modules Inheritance in Python Rules for creating expressions Working with multi-dimensional arrays Strings, lists, and other Python data structures The assignment operator The concept of exceptions and implementation Demand and Benefits: Having a PCAP certification verifies that the programmer or the aspirant has all the necessary and essential concepts of intermediate-level Python programming. The course also covers all the fundamental concepts of different Python constructs & fundamentals of OOP. This course brings crisp knowledge on general coding techniques using standard language infrastructure and basic programming skills using Python. The approximate salary of a Python programmer with this certification will be $7000 to $11,262 per annum. Top companies and industries hiring PCAP are CareCentrix, Accenture, Deutsche Bank, Collabera, NetApp, Capgemini, Tech Mahindra, Myntra, etc. Where to take Training for Certification: Python Institute (https://pythoninstitute.org/free-python-courses/) has all the study resources you need to prepare for this examination. You can also get a comprehensive training by enrolling for the Python course offered by KnowledgeHut (https://www.knowledgehut.com/programming/python-programming-certification-training) that has 24 hours of instructor-led training covering the core programming concepts like operators, control flow, functions, syntax & indentations. Who should take the Training (roles) for Certification: Any programmer or computer science aspirant, who wants to build a career in Python or pursue an associate-level job as a Python programmer or developer, can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: $ 295 Application fee for certification: $ 295 Exam fee for certification: $ 295 Retake fee for certification: If a candidate fails the exam, he/she can wait 15 days before being allowed to retake the exam for free. There is no limit to the number of times a candidate may retake an exam. 3. Introduction to Programming Using Python by MicrosoftIt is another popular entry-level Python certification by Microsoft (https://docs.microsoft.com/en-us/learn/certifications/exams/98-381). This certification covers all the syntax, data types, and basic understanding of Python. It also teaches how to logically solve any problem using Python constructs. Candidates wanting to enroll for this course are expected to have had some instruction or hands-on experience of approximately 100 hours with the Python programming language, including debugging skills, logic development, understanding conditional & decision-making statements, and maintaining well-formed well documented Python code. Microsoft’s Introduction to Programming Using Python comprises of topics like Basics of Python Using Boolean values Fundamentals of computer programming Interpretations Variables and variable naming conventions Defining and using functions Indexing and slicing operations Type conversions Basic formatting and outputting Data Types and Operators Control Flow with Decisions and Loops Construct Data structures Jump Statements Perform Input and Output Operations Document and Structure Code Comments and white-spaces Perform Operations Using Modules and Tools Demand and Benefits: Having a Microsoft certification verifies that the Python programmer or the aspirant has all the necessary and fundamental Python concepts. The course also covers all the syntax and semantics of different Python constructs & data types offered by the language. Anyone with this certification will have a better understanding of core Python, and the candidate can stand out in the competitive exams from the rest. The average entry-level salary of a Python programmer with this certification will be $ 5660 per annum. Top companies and industries hiring Python professionals with this credential are Cataleya Pvt. Ltd., Zynga, VMware, Mphasis, Deloitte, Capgemini, etc. Where to take Training for Certification: Microsoft has a paid five-day instructor-led course to prepare for this examination. Apart from that, you can join the Python course offered by KnowledgeHut that has 24 hours of instructor-led training covering the core programming concepts like operators, control flow, functions, syntax & indentations. Who should take the Training (roles) for Certification: Any programmer or computer science aspirant, who wants to learn Python or start an internship or entry-level job as Python programmer, can opt for this certification course. There is no other prerequisite to appear for this exam. Course fees for Certification: $ 127 Application fee for certification: $ 127 Exam fee for certification: $ 127 Retake fee for certification: Exam retake is free. If the candidate fails to achieve a passing score on the first attempt, he/she must wait 24 hours before retaking the exam. 4. Certified Professional in Python Programming 1 & 2 (PCPP 1 & 2):Once you sound knowledge of the core concepts of Python or have 3 to 5 years of experience in Python programming, you may prepare for professional Python certification. Certified Professional in Python Programming 1 certifications will reflect your experience and programming skills in the following areas: Text File Handling GUI-based Programming Encapsulation Inheritance Advanced Object-Oriented Programming PEP conventions Metaprogramming Communicating with a program's environment Using Libraries and Modules Importing math, science, and engineering modules Having this globally recognized credential will make you stand out in a competitive job market. Many recruiting agencies and firms are looking for professional Python programmers who can develop and deploy applications. Certified Professional in Python Programming 2 (PCPP2) is another advanced-level professional certification course offering proficiency in Python-MySQL database handling. Certified Professional in Python Programming 2 certification will reflect your experience and programming skills in the following areas: Basic directory structure CRUD operations Design patterns Observer and Proxy Singleton and State Design Template Method Model-View-Controller using Python Multiprocessing, threading, subprocess, and multiprocessor synchronization Relational database management using Python MySQL and SQL commands Sharing, storing and installing packages Network programming in Python Application testing techniques and principles Demand and Benefits: Having a PCPP certification verifies that the Python developer has all the necessary and essential skills of a professional Python programmer. The course covers all the advanced object-oriented programming concepts, GUI programming, etc. This course brings crisp knowledge for experienced professionals to make them stand out in the software development industry. The approximate salary of a Python programmer with this certification will be $ 12,053 to $ 14,700 per annum. Top companies and industries hiring PCPP certified professionals are Dell, Accenture, SG Analytics, HCL, Oracle, Capgemini, Tech Mahindra, Flipkart, etc. Where to take Training for Certification: Python Institute has all the study resources you need to prepare for this examination. Apart from that, you can join the Python course offered by KnowledgeHut that has 32 hours of instructor-led training covering the advanced programming concepts like database handling, OOPs, logical layout, data visualization, etc. Who should take the Training (roles) for Certification: Any professional, programmer, or experienced Python developer - who wants to settle as a senior Python developer or pursue an experienced-level job as a Python programmer or developer can opt for this certification course. The candidate should have the Certified Associate in Python Programmer (PCAP) certification or few years of work experience in Python. Course fees for Certification: $ 195 Application fee for certification: $ 195 Exam fee for certification: $ 195  Retake fee for certification: If a candidate fails the exam, he/she can wait 15 days before being allowed to retake the exam for free. There is no limit to the number of times a candidate may retake an exam. 5. Certified Expert in Python Programming (CEPP):This Python certification tag is for experts who complete all the OpenEDG Python Institute's Programming certification program (PCAP-31-xx, PCPP-32-1-xx, and PCPP-32-2-xx exams). It is the most advanced credential a Python developer can achieve from the Python Institute. Having this globally recognized credential will verify your expertise in Python programming. It highlights expertise in the universal concepts of Python programming. Also, this certification showcases the skills in resolving typical implementation challenges on different verticals of Python. Demand and Benefits: Having a CEPP certification verifies that the Python developer has industry level expertise in Python. This certification designates that the candidate has covered all the topics from basics to advance object-oriented programming concepts, GUI programming, etc. Using this certification, one can apply for a senior software development role, Python developer’s role, team lead, agile project management lead, and other senior job roles. Many professionals switch their careers to Big Data, Data Analytics, Machine learning, and deep learning after completing this certification. The approximate salary of a Python programmer with this certification will be $ 17,350 to $ 39,945 per annum. Top companies and industries hiring CEPPs are Amazon, Tesla, HSBC, Google, HCL, Oracle, Capgemini, Qualcomm, 6sense, Vitrana, and other top service-based companies. Where to take Training for Certification: Python Institute has all the study resources you need to prepare for PCAP-31-xx, PCPP-32-1-xx, and PCPP-32-2-xx examination. Once a candidate has passed all the certifications, he/she becomes recognized as an Open EDG Python Institute Certified Expert in Python Programming (CEPP). Who should take the Training (roles) for Certification: Any professional, Python expert, or senior Python developer, who wants to settle as a team lead or pursue an experienced-level job profile can opt for these certifications to reach at this level.  Course fees for Certification: $ 295 + $ 295 + $ 195 Application fee for certification: $ 295 + $ 295 + $ 195 Exam fee for certification: $ 295 + $ 295 + $ 195  Retake fee for certification: There is no retake fee Conclusion We trust this article gave you a better insight into different Python certifications! Whether you are starting out as a coder, or are an experienced Python programmer looking at making a splash in the industry, having a Python certification and proper knowledge of Python will elevate your programming career. Python is one of the top programming languages that can help you land different jobs in web development, app development, data science, cybersecurity, networking, web scraping, robotics, IoT, etc. If you aren't sure which online resource will be more informative for your Python certification, KnowledgeHut (https://www.knowledgehut.com/) has all the study materials and expert trainers who will help you reach the pinnacle of Python expertise. Receiving a Python certification, apart from academics and degrees, will make you stand out from the rest. So, start preparing for one today! 
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Best Python Certifications of 2021

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