Python Certification Training Course

Yes, your course materials for the online certificate in python programming will be provided in advance. You will receive an email with a link to set your password a few days in advance of the scheduled course. Once you log in, you will have access to the study plan and all the course material.

The course material comprises of the course schedule or study plan, workbooks, relevant assignments, assessments, and case studies.

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor

The sessions would be auto recorded. You will be given lifetime access to the video recordings of the sessions.

No, you will not yet be able to join the training through phone or tab. Please be prepared to join the training on your laptop or desktop.

If you get disconnected during the training, you will have the option re-joining within half-an-hour, subject to accreditation body guidelines and the instructor’s preference.

Our workshops are currently held online. Anyone with a stable internet, from anywhere across the world, can access the Python programming workshop and benefit from it.

You can check out upcoming schedules here.

upGrad KnowledgeHut, will send a registration link to you via e-mail. You will have to set your password, log in to our platform, and start your learning journey.

If you miss a class, you can access the class recordings at any time. At the beginning of every session, there will also be a 10-12-minute recapitulation of the previous class.

Online classes for python programming are currently conducted over the Zoom platform. We will soon be adding more integrations soon.

Yes, there are other participants who actively participate in the class. They remotely attend the online sessions from office, home, or any place of their choosing.

In case of any queries, our support team is available to you 24/7 via the Help and Support section. You can also reach out to your workshop manager via the workshop group messenger.

If you have any more questions, please email us at support@knowledgehut.com and we will be happy to get back to you.

Streaming sessions are pre-recorded lectures crafted by top global instructors. These sessions focus on delivering theoretical knowledge with high-quality content, ensuring clarity and engagement for an effective learning experience.

Streaming sessions offer several benefits, including flexibility to learn at your own pace, the ability to revisit complex concepts, and consistent quality in content delivery. They are meticulously crafted and quality-checked to ensure an optimal learning experience.

Yes, interaction with instructors is a key component. In doubt resolving and master sessions, you'll engage directly with instructors and peers, fostering a collaborative and interactive learning environment.

Yes, group discounts are available and apply to groups as small as three (3) participants. The more the number of participants attending a training course, greater the discount. By registering in groups, you can typically save up 20% to 30% on the Python programming course fees.

For more details, please check out upcoming schedules.

Yes, instalment options are available for payment of course fees. To avail the instalment option, please get in touch with us at support@knowledgehut.com. The team will explain how the instalments work and provide timelines for your case.

Usually, the number of instalments vary from 2 to 3, but the full amount must be paid before you complete the course.

Python has become the preferred programming language for both, beginners as well as experts due to the following main reasons:

• Community: Python has a big open-source community which means that there are thousands of projects already present online which you can just pick up and integrate with your own project.
• Corporate sponsor: C# has Microsoft, PHP has Facebook, similarly Python has Google. Google heavily backs Python and uses it extensively. It also, therefore, regularly updates Python tutorials and guides for newbies looking to take up Python as their programming language.
• Academics: Python, due to its general purpose tasks usability, is heavily used for research purposes. Fields like Data science, Machine learning etc. are powered by Python and its powerful libraries.
• Efficiency: Python is highly versatile and efficient. You can develop a Python program and deploy it to any environment with little to no performance loss. It uses regular expressions to minimize the length of the code and maximize its output.
• Learning: This is perhaps the most attractive part of Python, which makes it so popular. Along with the numerous features it offers, Python is really easy to learn and understand given by its high readability. When compared to languages like Java, C# etc. Python has a shorter learning curve. Any newbie with little to no experience in even computer programming world can easily take up Python and start building software.

When compared to other programming languages like Java, C#, PHP etc. Python is still in trend today due to the following reasons:

Ease of learning: High readability and easy learning have forced many to start learning Python due to its syntax, which can be understood even if you’re not a Python expert. This is not the case with most of the programming languages.

General-purpose: As Python can be used extensively for general purpose tasks, it has been employed into software in different fields ranging from web development to cloud computing and to research fields like machine learning and data science as well.

Big community: Due to its big global community, the packages available are numerous and stable as well with updates being provided on a regular basis.

Flexibility: Python is a highly flexible language evident from its numerous implementations with other programming languages. So, for example, if you think that Java is better suited for a particular task, you can easily use Jython for it.

Business use: Python is attracting more and more non-technical professionals to itself due to its ability to put data analysis skill, a hot skill in today’s world, within one's grasp.

Below are the steps defined for beginners if you want to get started with Python Programming.

1. Understand why Python
2. Install Python
3. Use IDE
4. Learn basics
5. Implementation
6. Understand why Python: First of all, it is important to understand why you are going to use or learn Python in the first place. This step will help you better in the learning process.
7. Install Python: After deciding which version of Python you will be needing for your purposes, install it either from the official website or Anaconda package manager.
8. Use IDE: As a beginner, it is important to understand your errors and learn from them. IDEs help for the same by debugging your code.
9. Learn basics: You can use online videos, courses or even blogs to get you started with the technical aspects of Python programming such as variables, functions, lists, tuples etc.
10. Implementation: No learning is complete without implementation and hands-on practice. Work on projects with peers, or even complete assignments from online courses.

Python is a multi-purpose, sometimes even utilitarian, programming language. What makes Python special is that it is not a complex programming language, which is the main reason for its popularity.

1. It is a truly universal language that provides a lot of options to developers.
2. It is used by some of the biggest technology companies in the world, thus making it applicable to a number of popular applications across diverse fields.
3. It has a very active, healthy and supportive community: There are millions of developers working on the Python programming language. This active community of developers ensures proper help and support to its fellow developers.
4. The compounding use of cloud solutions and big data has only propelled the growth and popularity of the Python programming language and the same is only expected to grow in the years to come.
5. It is one of the most popular languages used in the field of Data Science, Machine Learning and Artificial Intelligence.
6. Python programming is incredibly easy to write, code, understand and analyze.
7. It has some of the most expensive libraries, documentation and built-in functions that increase the efficiency of coding and reduce the complexity of programs.
8. It is a highly efficient and reliable programming language.
9. Python is quite a versatile language, because of which developers can make it work across several domains including web development, mobile applications, hardware, desktop applications and more.

If you are looking to use Python for your project and have no experience in it, below is the list of tips and topics which can help you learn Python fast.

• Help in Python: If you want to know how an object works then use help() function.
• Indentation: Instead of curly braces, Python uses indentation to define the scope of a code block.
• Data types: Lists, dictionaries, and tuples are the data structures provided by Python. Variables can point to functions as well.
• Flow control statements: Python has the usual flow control statements such as - if, for, while, and range(<number>).
• Functions and classes: For function, Python has the def keyword and for classes, it has class.
• Exceptions: Python has exception handling feature handles by try-except.
• I/O: Python has a wide range of built-in libraries to handle file handling.
• Importing libraries: A Python program may include several external libraries which can be imported into main program by using: import <library> or from <library> import <function> keyword.
  Note: Above topics mentioned can be learned from online resources available for free as well.

Below are some of the important tips we have compiled for beginners:

• While learning Python, make a habit of writing notes so you can always refer back to polish your basics.
• Use IDEs to code your Python programs as it helps to debug your code which is a great tool for learning.
• Include like-minded peers in your social circle, go to meetups and other events where your knowledge for the same takes leaps.
• Take small breaks while programming. Coding at a long stretch may thwart your creative thinking process.
• Consistency is the key so whatever day it may be, just code. Code every day.
• When stuck on a problem, don’t hesitate to search for the solution on Google or even Stack Overflow. The Internet usually provides expert guidance to any problem

There are numerous books for beginners if you are looking to learn Python programming so it is essential that you choose the right book to start your Python career. Here are some of the best books to start with.

Python Programming: An Introduction to Computer Science

• Murach's Python Programming
• Learn Python in One Day

Python Programming: An Introduction to Computer Science: This book is designed for college students hoping to start their programming journey with Python. It introduces one to the concepts of computer science and this book uses Python extensively for it.

Murach's Python Programming: This book is best suited who are new to the programming world and want to jumpstart their programming career with Python. This book is divided into four sections for ease of learning.

Section 1: It introduces the basic concepts of computer science and programming world.

Section 2: It highlights the skills that every Python developer needs to inculcate and display.

Section 3: It introduces OOPs concepts and shows how to develop OOP programs.

Section 4: This section is basically implementation. Through the use of database and GUI, it offers guidance on how to make a program for the real world.

Learn Python in One Day: This is a short book recommended only if you are new to the computer programming world and you’ve had bad luck with other books. This book teaches you the basic concepts of programming with Python quickly. It has examples that can be easily understood by beginners.

No, Python is one of the easiest programming languages to master.

• Python has a vast inbuilt Python library and built in functions that make the development of a program more efficient and easy as well as less complex.
• Python places a lot of effort on readability. What this means, essentially, is that Python syntax is more like writing in English, which makes it easier to learn and understand for the developer.

Yes, Python is a popular choice for professionals new to coding. Python programming for beginners makes sense as it is one of the easiest languages to learn. Some of the reasons that make it easy for beginners to learn include the following:

• It is an efficient programming language with data structures that offer a simple and effective approach to coding.
• It is based on the object-oriented programming approach that once understood, will also help a beginner build a base for other programming languages as well.
• It contains a massive in-built library and functions that
• Save time
• Increase efficiency
• Decrease the complexity of programming
• It has an elegant syntax that is almost like the English language, thus making programs easier to learn and build.
• Python programming has a gradual learning curve, as opposed to other programming languages where the learning curve can be quite steep.
• It has wealth and abundance of documentation, making it easier for a beginner to get help if he/she is stuck somewhere while coding.
• The Python community of developers is a very vast and helpful community. In case a beginner is stuck at a problem and posts the same on an online forum of Python developers, either of the following may happen-
• Since it’s a very large community of developers working with the same programming language, chances are that someone else was stuck on a similar problem and the same was resolved so the solution to the problem is already available.
• In case the solution is not already available, the Python community chips in and the programmer is able to get a solution to his/her problem very quickly, thus boosting the process of learning as well. Learn Python programming for beginners and advance to learning doing more complex projects.

If you are a programmer then you would already be knowing basics of programming languages, logics of programs etc. so you would mainly need to concentrate on the syntax part which takes, in Python’s case, approximately 1 month. If you are a newbie, then it will take around 3 months if you spend no more than 4 hours/day. However, if you are starting to learn Python programming online then you must see our list below containing important topics which may take the most time.

• Using ‘os’, ‘sys’, ‘argparse’ module
• Learning ‘list’ data structure
• Slicing in Python
• Use of ‘set’ and ‘dictionaries’ in real-life problems
• Generators for memory management
• File I/O
• Importing/Exporting modules

Listed below are some of the main reasons why you should learn Python Programming:

Popularity and potential for high salaries: Python is very popular among developers. As it is having been proven to be a truly universal language that can be used to meet various development needs, it offers a lot of options to programmers in general. Python experts draw among the highest salaries in the industry.

Extensible and portable: These two properties of the Python programming language allow a developer to seamlessly perform cross languages operations. Python is also supported by some of the leading platforms in the industry including Macintosh, Linux, PlayStation and Solaris, among several others.

Simple and Easy to learn: Python is a programming language that is very simple and easy to learn. It is very powerful, yet has syntax that resembles the English language very closely. The following are the contributors to the simplicity of Python:

• Interpreted
• High level
• Large and active community of developers
• Free and open source

Web Development: Python provides developers with a variety of frameworks in order to enable the development of websites. Since most frameworks on which websites are based are built on Python, Python code is, therefore, run faster and in a more stable manner.

Testing Framework: Python is a great platform for established companies to validate products or ideas. Python consists of a number of testing networks that are built in, including frameworks to test fastest workflows as well as debugging. Testing is usually a tedious task but is made easier with the use of Python.

Computer Graphics: Python is used in a variety of online as well as offline projects. The ‘Tkinter’ library in Python provides developers with an easy and a fast method to create applications. Python can also be made use of in order to develop a game with the ‘pygame’ module.

Scripting and Automation: During Scripting,

• The code is written in the form of scripts, which are executable
• The machine reads and interprets these scripts
• Checking for errors is performed during Runtime

One of the best features of Python programming is that the Python programs can be moved from one platform to another and can be run without making any additional changes on almost all platforms including Windows, Linux, and Mac OS X. It has a simple syntax, which is quite similar to the English language. Moreover, its syntax allows developers to write programs with shorter or fewer lines as compared to other programming languages. Another major advantage with Python programming is that prototyping can be done very quickly, that is, a code can be executed as soon as it has been written.

Python has emerged as the most favored language for Data Analytics. It easily integrates with other technologies and offers greater stability, leading to higher programming productivity especially in complex Agile projects. Python reduces development time by nearly half due to it's easy to read syntax and simple compilation function. Python has a built-in debugger, making the process of debugging programs a straightforward task. Since a long time, the use of Python was restricted to scientific computing and highly quantitative domains such as finance, physics, oil and gas, and signal processing, but it is now finding increasing acceptance across all domains, especially in the field of Data Science.

If you are just starting your Python journey and you want to create your first Python program then just follow the steps we have defined below.

Step 1: Make sure Python is installed. You can check the same by using following command which will the show the version of Python you have installed on your computer.

python --version

Step 2: Open a notepad or any other text editor on your system suitable for you and write the following code in it:

print “Hello world!”

Step 3: Save the file as <filename>.py so for our example we will save the file as hello.py. The .py extension tells the python interpreter that this is a python file and to treat it as such.

Step 4: All that is left is to open your command prompt or terminal, navigate to the directory holding your .py file and run the following command.

hello.py

Output: Hello world!

A Python program can be run in the following two ways:

• Running a Python program in a Python shell
• Fire up your IDLE (Python GUI) file
• Simply type in your Python script and press enter
• Your program will start running
• Running a Python program stored in a fileIn order to run a Python program stored as a Python script in a file, follow the given steps:
• Write your script in an independent file
• Save the file with a ‘.py’ extension, thus indicating to the system that the file is a Python program.
• Initialise the terminal on your system.
• Navigate to the directory where you have stored your file with the .py extension by typing the following command in the terminal:
• Cd directoryName.
• Now press enter
• Type the command
• Chmod a+x filename.py in order to inform your system that the said file is an executable program.
• Next, type ./filename.py in order to run your program.

There are basically two ways to run Python on any OS for that matter:

• Run commands on Python REPL (interpreter)
• Run a Python program file which contains the commands

For both ways, Python is needed to be installed on your operating system. You can check that by typing the following command which will tell you the Python version currently installed: python --version

• If Python executable binary is in your classpath then you can simply type python to enter its REPL shell.
• Alternatively, if you want to run a file and Python executable is in your windows classpath then all you need to do is open command prompt and enter the location of the file.
• For example:>> C:\Users\y\hello.py - For Windows$ /usr/bin/hello.py - For Linux (Ubuntu)

The above command finds the hello.py file and starts executing it.

The best and the most efficient way to run Python on Mac OS X is to run it through the IDLE integrated development environment that comes along with the installation of Python on the system.

• In order to run Python scripts from the Finder or the Terminal window command line, you will first require a document editor in order to create a script.
• Several standard Unix command line editors are already pre-installed into the Mac OS X. Some of these include emacs and vim.
• Make sure that /usr/local/bin is in the shell search path, if you wish to run the Python script from the Terminal window.

In case you wish to run the Python script from the Finder, the following two options are available:

• Drag it to the PythonLauncher
• Choose PythonLauncher as the default application in order to open a script through the Finder. The Option Dragging option is one of the many preferences that PythonLauncher allows users to choose from. This option allows the user to either use its Preferences menu to change settings globally or change the settings for a single invocation.
• In case you wish to run your Python script with a GUI, make use of pythonw instead of python in order to initialize these scripts.

Java and Python are two of the most popular programming languages in the world. The reasons for the raging popularity of Java and Python are the efficiency, automation capabilities and the versatility that the two programming languages offer.

• The main difference between Java and Python is that while Python is a dynamically typed language, Java is statistically typed. This means that while Java performs type checking at the time of compilation and does not compile a script that has errors, Python actually compiles the programs even if the scripts contain errors that prevent the script from running properly.
• Python, however, is ranked slightly better compared to Java in terms of efficiency, performance, ease of understanding and readability.
• Python is also ranked as the top language preferred by beginners, majorly owing to the fact that it is easy to understand and write. It reads almost like the English language and is more intuitive from a syntactical standpoint.
• Another reason for the popularity of Python over Java is that Python is a general purpose programming language and has multiple applications from website designing, game development, artificial intelligence and data science to scientific computation and desktop applications. Thus, learning Python allows a developer to expand his/her horizons and focus on varying areas of technological advancements.

All in all, while Java has its benefits, learning Python makes more sense as it is more intuitive, flexible and creates a more enjoyable experience for the developer.

Python has widespread use in the domains of web development, application development, developing games, etc. It has been described as one of the most organized languages and standard languages by its users. With the increase in popularity of Python language, it is expected to grow tremendously in the fields of Artificial Intelligence, Networking and Big Data in the near future.

Artificial Intelligence: Various frameworks, tools, and libraries are being developed to direct artificial intelligence to reduce human efforts and increase the accuracy and efficiency for development purposes.

Networking: Python performs various networking automation tasks such as reading, writing, and configuring routers and switches in a cost-effective and secure way with the help of various tools and libraries such as Ansible, Netmiko, etc.

Big Data: Python programming language has helped the big data technology to grow. Thanks to its high-performance libraries and toolkits, Python continues to successfully contribute to the analysis of a large number of data sets. To name a few python libraries and toolkits for Data Analysis: Pandas, Scikit-Learn, NumPy, Dask, etc.

The announcement in 2014 that Python 2.7 would be supported until 2020, encouraged users to move to Python 3 from Python 2, making Python 2 nearly obsolete and Python 3 the future. This table shows why companies are moving from Python 2 to Python 3.

1. A string is stored as ASCII by default.

• A string is stored as Unicode by default.

2. Treats “print” as a statement.

• Treats “print” as a function.

3. Division of integers always returns integers. [5/2=2]

• Division of integers may result in a float. [5/2=2.5]

4. raw_input() reads strings.

• raw_input() is not available.

5. input() evaluates data read.

• input() always reads string.

Being a user-friendly language, Python is used in various domains. Below mentioned are a few applications of Python language:

Web and Internet Development: Python has libraries for internet protocols like HTML and XML, JSON, etc. as well as an easy-to-use socket interface, making the process of web development hassle free.

GUI Based Desktop Application: With numerous GUI toolkits available, like wxPython, PyQt or PyGtk, developers can create highly functional Graphical User Interfaces (GUI).

Operating Systems: Python has developed to become an integral part of Linux distributions. For example, Ubiquity Installer of Ubuntu has been developed in Python.

Science and Numeric Applications: Python has become an integral part of the application of computation and processing of scientific data due to its productivity, availability of tools and higher speed. To name a few tools: SciPy, Pandas, IPython, etc.

Software Development Applications: Python is used as a support language by Software developers for build-control and management, testing, etc.

Application of Python in Education: Python has paved its way to becoming an amazing language for teaching programs, both at introductory as well as advanced level. Example: Scons, Buildbot, Apache Gump, etc.

Application of Python in Business: Python is widely used to build ERPs and e-commerce systems. Example: Tryton, Odoo.

Database Access: Customize different databases like MySQL, Microsoft SQL Server, Oracle, etc. with the help of Python.

Games and 3D Graphics: With the help of various modules, libraries, and platforms that support the development of games, one can develop games with Python.

Other Applications of Python: Python is further used in the following applications

• Applications for Images
• Video or Audio based applications
• 3D CAD Applications
• Machine learning
• Robotics
• Artificial Intelligence
• Web Scraping
• Scripting
• Enterprise Applications

It has a simple as well as an easy-to-use syntax, making it a perfect language to learn for a fresher who is trying to learn a programming language for the first time.

As stated above, the Python programming language is extensively used for web development. It is used by big organizations as well as small start-ups to improve their productivity and meet the requirements of their customers. The following lists a few popular companies which use Python as the preferred language in Web Development, as well as mass companies that deploy Python.

Instagram: After recently moving to Python 3, Instagram is a gigantic tech company which is using Python language in combination with Django, which is one of Python’s frameworks. According to Instagram’s engineering team:

"Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python.”

Google: Python is used extensively by Google. It is now one of the official server-side-languages, C++, Golang and Java being the other ones. Moreover, Peter Norvig said:

“Python has been an important part of Google since the beginning and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we’re looking for more people with skills in this language.”

Spotify: Spotify uses Python primarily for back end services as well as data analysis. Spotify is a huge advocate of Python, due to the speed of processes of development while using Python.

Netflix: Just like Spotify, Netflix relies on Python for back end services and data analysis. Netflix allows its software engineers to choose their own language for coding, and have noticed the maximum usage being that of Python applications.

According to the technology blog of Netflix, “Developers at Netflix have the freedom to choose the technologies best suited for the job. More and more, developers turn to Python due to its rich batteries-included standard library, succinct and clean yet expressive syntax, large developer community, and the wealth of third-party libraries one can tap into to solve a given problem.”

Reddit: Reddit is the fourth most visited site in the United States and the seventh most visited site in the world. The software backbone behind Reddit is Python. Originally, Reddit started coding with Lisp and was recorded in Python within 6 months of its launch. This happened because Python has a wider range of code libraries and is more flexible.

Quora: This question and answer platform took their time to decide on the language which they wanted to use to implement their design. Taking their lead from Google, they finally decided on Python because of its ease of writing and readability. Another reason for them to opt for Python was because of the existence of several good frameworks, including Django and Pylons.

Uber: Uber chose Python due to its ability to quickly provide the essential mathematical calculations they require for efficient working. According to Uber engineers,

“At the lower levels, Uber’s engineers primarily write in Python, Node.js, Go, and Java. We started with two main languages: Node.js for the Marketplace team, and Python for everyone else. These first languages still power most services running at Uber today.”

NASA: NASA uses Python extensively and open sources a lot of their software.

You can learn Python programming from books recommended by top Python developers in the industry. We have compiled such list which will help you choose a book best suited for you.

• Python Cookbook
• Head First Python
• Learn Python the Hard Way
• Python Programming: An Introduction to Computer Science

Python Cookbook: If you want to buy one book and learn it all, then this is the best choice available. It provides comprehensive guidance on how to write industry grade code along with covering all the basics as well. It includes basic topics such as strings, text, concurrency, generators, File I/O and advanced topics as well like data encoding and processing, system administration, and utility scripting to go along with much more.

Head First Python: Following visual approach rather than a text-based approach, this book aims to jumpstart your Python career by making you understand the fundamentals of Python through hands-on exercises. From teaching to work with simple built-in functions of Python, you will be taught to create your very own web applications that use a database, exception handling, and data wrangling.

Learn Python the Hard Way: The famous book which uses 52 exercises to teach you how to code professionally is generally recommended for experienced programmers. The author, Zed Shaw, aims to effectively make you into an industry-grade Python developer by teaching you how to structure your program, avoid mistakes made by professionals, how to debug, test, etc. It also throws some light on what tricks are used by professionals to find errors in their code which is why it is a must read for any aspiring Python professional.

Python Programming: An Introduction to Computer Science: If you have little to no experience in programming and want to start your coding journey with Python then this is the best-suited book for you. It starts from the base level by introducing you to computer science concepts and gradually builds up your knowledge about the same using only Python language in a way that is interesting and easy for beginners.