Python Certification will assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop.
Python certification is suitable for beginners, intermediate learners as well as Python experts. Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience.
Over the course duration, interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.
So what exactly is Python? It’s not as complicated as you think!
Python is a high-level performing, object-oriented, multi-purpose programming language. It has an integrated dynamic semantics which is mostly used for web development as well as app development. Python offers dynamic typing and dynamic binding, which makes it appealing in the field of Rapid Application Development. Also, Python supports packages and modules, encouraging code reuse and program modularity.
The course curriculum has been designed in such a manner that you’ll receive the most advanced knowledge and skills. You can become an expert in Python by grabbing the opportunity to learn hands-on coding with guidance and reviews from our mentors. You will be learning from the best in the field as all our trainers and mentors are experienced professionals.
If you have a basic knowledge of programming concepts and object-oriented concepts and wish to make a career out of Python as a Software Engineer, Python Developer, Data Scientist, Data Analyst, Research Analyst or Software Developer, then choose the best Python certification course and make your dream career come true!
Python Tutorial Chapters
Get a brief idea of what this Python tutorial has to offer. Know about the main features of Python along with the history of its development. Learn some important applications of Python, including data science, machine learning, image processing etc, along with who uses Python.
Gain a brief idea about Python Online. Learn how to install Python on your Windows and Linux machine with the help of the installation instructions provided in this module. Also, get acquainted with alternative Python distributions such as Anaconda and Canopy.
Gain an understanding of Keywords, Identifiers and Statements to learn about the basic syntax of Python. Learn the rules of naming identifiers, Intends and Comments with suitable examples.
Acquire knowledge on the data type systems in Python, viz. Standard or Built-In data types, which include Numbers, Sequences and Mappings. Learn about Variables, Dynamic Typing and Mutability of Objects in this module. Moreover, gain an understanding of the input/output functions input() and print() along with appropriate examples.
This module deals with the representation of numeric data types, viz. int, bool, float, complex. Learn about the Built-in Conversion Functions such as int(), float(), complex(); as well as the Built-in Mathematical Functions such as abs(), hex(), oct(), pow(), round() with simple examples.
Get a detailed look at the characteristics of Python’s string data type and the different escape sequences. Learn various useful methods of built-in String class – such as changing cases, finding and replacing within the string, etc. String formatting and format() function is explained with suitable examples.
Learn about Python’s built-in container types, List and Tuple. Know the similarities and the differences between the two. Gain an understanding of the built-in functions that can be used along with List as well as Tuple. The Conversion functions list(), tuple() and str() are illustrated in this chapter.
Definition of Dictionary along with its representation and examples of dictionary objects. Learn how to access and update values in the dictionary. Gain an understanding of the built-in functions and dictionary class methods. Learn about the Keys(), values() and items() methods with suitable examples.
Know everything about Sets and set() function that you need to know with the help of suitable examples. Learn about the different methods by which the set object can be modified.
This module also explains how various set operations like union, intersection are performed using respective methods in Set class.
This module deals with operators in Python, that perform various operations on Python objects. Learn about the arithmetic and logical operations defined in Python. Moreover, get to know the use of set operators corresponding to methods in Set class. Get to know about the identity, membership and bitwise operators.
Get to know the proper definition of program and programming. Acquire the knowledge of logical programming and learn how the statements are executed. Learn how to use the different conditional statements, viz. if, else and elif with appropriate examples.
Gain a basic understanding of loops through this module. This module describes the importance and usage of while loop, for loop as well as nested loop in Python with the help of examples. Python’s loop control keywords break and continue have been dealt with in detail in this module.
Python library is bundled with a large number of modules, each containing a number of utility functions. In this module, frequently used functions from various modules are explained with examples. The sys module and statistics module has also been covered.
Learn how to define a new function as per requirements and how to call it. Different features of defining and passing arguments to a function are explained with suitable examples in this module. Learn how to make a function return value. Moreover, calling the function by reference is also explained.
This module will give you an overview of some important tools supporting functional programming paradigm. Learn about iterator and generator functions in this module. It also deals with list comprehension and related tools in details. Learn how to use the map(), filter() and reduce() functions.
This chapter will help you learn how to build a module and import functions from it. Learn how to use the various attributes of these modules under diverse programming situations. Additionally, study how to build a module and import functions from it.
This module deals with packages, as well as how to construct a package and import functions from it. Furthermore, build a package and install it for system-wide use with the help of setup tools module. The process of publishing module on Python package index repository has also been discussed.
This module discusses Exceptions and the numerous predefined Exception classes present in a Python library. Get to know the various exception types. Learn how to use try, except and finally keywords to understand Python’s exception handling mechanism. Define customized exception classes and raise their instances.
Get acquainted with the built-in File object of Python in this chapter. Various file opening modes like append and simultaneous read/write are explained with relevant examples. A section in this chapter deals with file related exception handling. Moreover, learn how to perform read/write operations on a binary file.
Learn what are Comma Separated Values (CSV) format. Learn about its Reader and Writer classes as well as convenience functions along with suitable examples.
The various functions discussed are writer(), writerow(), writerows(), reader(), DictWriter(), writeheader(), DictReader(). This module also discusses, in brief, the Dialect class.
This chapter introduces the concepts of a relational database, explaining the basic SQL queries for CRUD operations with the help of SQLite and MySQL database. Learn how Python programming can be used to perform SQL operations on the SQLite database.
Here, MySQL connectivity is explained by installing PyMySql module.
Get a deeper insight into Tkinter. Learn how to form a basic window and put various widgets like button, label, entry etc. Get to know its layout management with place(), pack() and grid() methods. Learn about Event handling mechanism and how to draw different shapes using the Canvas widget.
Understand the difference between a procedure-oriented approach towards programming from an object-oriented approach. Learn how to build a user-defined class and set up its objects.
Additionally, the concept of constructor, instance attributes and methods are explained along with Python’s built-in property() function using examples.
Understand what a Decorator is and learn how to define a decorator. Understand the built-in property() function and how to use it as a @property decorator. Moreover, learn about the @classmethod and @staticmethod built-in decorators as well.
In this chapter, take a look at Python’s implementation of the principle of inheritance. Understand the Syntax of Inheritance. Other topics discussed in this chapter are Overriding, multiple inheritance and Protected attributes.
This chapter will help you understand what Magic Methods are. In this chapter, magic methods used for object customization are discussed. They are __new__(), __repr__() and __str__(). Get to know about operator overloading and object customization. MyTime class has been used to demonstrate operator overloading.
This chapter explains all the functions that are defined in the regex module of Python’s standard library. This chapter demonstrates searching for, matching, finding and compiling regex patterns. Towards the end of the chapter, typical use cases of regex such as matching domain names are explained.
Important features of Python’s implementation of the CGI protocol has been discussed. It describes how Apache server is configured for running *.py files as a CGI script. Various attributes, methods of FieldStorage class have been used to demonstrate how data is sent from a web client and result is redirected from the server.
This chapter deals with the SMTP protocol with the help of the smtplib module.
A suitable example is used to show how we can use Gmail by configuring its SMTP server to send an email from a Python script.
Gain an understanding of serialization and deserialization. In this chapter, understand and learn pickle protocols, which is Python’s own serialization format. Serialization functionality of marshal and shelve module is also explained. Finally, learn how Python objects are represented in JSON format with the help of the JSON module.
In this chapter, understand the principles of concurrent threads in a program. The threading module defines functions to initialize, start run and terminate a thread. We shall also see how a thread can be paused and resumed. This chapter takes a look at the concept of thread synchronization.
This chapter covers the implementation of the ElementTree API model. With the help of a suitable example, understand and learn how Python objects can be serialized in XML format and reconstructed back. Moreover, learn how to parse, modify an XML file and the comparison between DOM and SAX APIs.
This chapter takes a look at the functionality of the 'socket' module that provides access to the BSD socket interface, and focuses mainly on connection-oriented TCP sockets. Understand the various Server Socket methods and learn how to set up a socket server as well as a client application.
Data classes module is the latest addition to Python’s standard library. The @dataclass decorator helps in auto-generation of constructor and operator overloading methods in a class. The functions asdict(), astuple() and make_dataclass() have been discussed with respective examples in this chapter.
Python has been voted as the most wanted technology of the year 2018, according to the 2018 Developer Survey by StackOverflow. Also, it has been ranked as the seventh most popular programming language in the world amongst software developers.
With various resources available in the market that can teach you to code in Python version 3 without any experience of coding in Python version 2, it is necessary that you make the right choice of course for you. Python 3 being the latest version of Python, is also the future. And starting with the latest version of a programming language is a decision that you will never regret.
The Python Certification course provided by KnowledgeHut is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. It also includes 22 hours of hands-on practical sessions with Python along with three use cases.
The Python certification training will introduce you to the world of Python and enable you to learn Python from scratch. It will expose you to its architecture, design philosophy, basics of scripts, applications, and packages through hands-on practical sessions.
Get started on your Python journey by learning to Install Anaconda - Python distribution.
Create your first Python program by learning basic syntax, variables, types and so on...
Learn about data structures that Python can handle. Create, manipulate Python lists, tuples, etc.,
Learn to write complex decision making code by mastering control structures like if, for, while, break and more
Learn to write and import your own Python modules and use them in other directories
Learn all about Regular Expressions; their uses in matching patterns and parsing files and text for information
Learn to write user-defined functions and object-oriented way of writing classes and objects.
Take your Python programming skills to the next level with functions, import packages and improved code readability
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Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.
Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.
Build a small game to rearrange jumbled letters and create a word. A player is given a jumbled word, player will have to arrange the characters of the word and make a correct meaningful word.
Build a dice rolling simulator using Python, which will randomly select a number between 1 and 6. After selecting the number, it should print it and ask you if you would like to roll the dice again.
Create the classic Tic-Tac-Toe game (also called Noughts and Crosses) in Python using user defined functions, while loops etc. Player takes turns marking the spaces in a 3×3 grid.
Calculators are handy and can be used to perform simple tasks using simple operations like addition, subtraction, multiplication and division. Create a calculator using operators in Python to add, subtract, multiply and divide.
Learn about the history of Python and its various uses. Learn to use interpreters and also learn about how Python scripts work on UNIX/Windows.
Learn about interpreters and Python Script.
Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.
Install Anaconda - Python distribution
In this module, you will learn to convert messy text into something useful.
Write Python code to implement string operations.
Learn the various data structures that are used in Python.
Write Python Code to understand and implement Python Data Structures.
Learn all about loops and control statements in Python.
Write Python Code to implement loop and control structures in R.
Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.
Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.
Learn to build modules and install packages.
Write Python Code to create modules and execute them.
Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.
Write Python Code to use Regular Expression and match pattern, parse data and so on.
Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects."
Write Python code to construct a class and define objects.
Study Use Cases to explore Python
Use cases covering conditional statements, functions, classes, modules, regular expressions.
Python is a programming language that is high-level, interpreted, and object oriented. It uses dynamic semantics for rapid application development. Python also provides many frameworks including Django, Flask, Electron, Pylons. The interpreter and the libraries offered by Python makes it very popular among developers.
Guido Van Rossum first conceptualized Python in the 1980s. At that time, he was working as an implementer of the ABC programming language at the National Research Institute of Mathematics and Computer Science. He wanted to create a language whose syntax resembled the ABC language and had access to the AMOEBA system calls. So, in 1991, he introduced the first version of the language under the name ‘Modula 3’.
Python was named after the hit BBC comedy show of the 1970s, Monty Python’s Flying Circus. Guido Van Rossum, the creator of the Python, was a big fan of the show and was looking for a name for his pet project that was short and unique. So, he picked the name ‘Python’.
Python is undoubtedly one of the most popular programming languages for beginners and expert programmers. The top 5 reasons behind the popularity of Python are:
The top reasons to learn Python are:
To get started with Python, you need to follow the below-mentioned 5 steps :
Here is a list of few topics you need to understand to learn Python fast:
import <library> or from <library> import <function> keyword.
No. Python has a very easy syntax similar to the English language that makes it easy to learn. Programming in Python is easy and efficient; thanks to its inbuilt library and built-in functions.
Yes, Python programming language is easy to learn for beginners. Here are the 7 reasons why:
If you have absolutely zero experience in programming, it will take you about 3 months to completely learn Python. If you are an experienced programmer, you will need just 1 month to advance from a newbie to an expert in Python.
If you want to learn Python programming, here are the 4 best ways to do so:
Here is how you can start learning Python the right way:
The 3 best ways to learn Python Version-2:
There is no doubt that Python is the most popular programming language currently. So, there are several benefits of learning the language, such as:
There is so much documentation and tutorials available on Python, some of which are not well maintained. Here we have compiled a list of 4 best resources to learn Python:
Here is how you can learn Python 3 programming from scratch in 5 steps:
If you want to work in the field of data science, learning Python is a must. Here is how you can do so in 7 steps:
From cybersecurity to robotics, Boston’s tech sector is constantly blossoming. There are several tech companies like Boston Dynamics, IBM, Google, Bose, Raytheon, PayPal, Casa Systems Inc., EverQuote, DataOne, etc. working on projects that require Python developers. This has resulted in an increase in demand for Python developers in Boston.
Python is one of the most popular programming languages. So naturally, Python developers are quite in demand right now. This has led them to earn a hefty salary. The more experienced you are, the more attractive your salary and bonuses will be. The average salary for a Python Developer is $124,145 per year in Boston, MA, which is 7% above the national average.
With so many tech companies looking for Python developers in the city, there are several options for developers. Also, there are several tech talks, conferences, and meetups organized for Python developers. The city also has many of the top STEM schools in the country, hence a large amount of tech research and development is taking place locally.
The companies hiring Python Developers in Boston are Akuna Capital, Draper, Mathematica Policy Research, Granite Telecommunications, Boston Dynamics, Tulip, Accenture, Intrepid Pursuits, etc.
|1.||Intro to Python: Fundamentals||5 August, 2019||Workbar – Back Bay, 399 Bolyston Street, Boston, MA|
|2.||Data Science I: Essential Tools - Boston||13-15 November, 2019||Metro Meeting Centers – Boston, 101 Federal St, Boston, MA|
1. Intro to Python: Fundamentals
2. Data Science I : Essential Tools - Boston
|1.||Boston’s Python Tech Fair.||20th October, 2018||4 Copley Place, 6th Floor, Boston, MA|
|2.||An Introduction to Data Science with Python||29-31 October, 2018||O’Reilly Training Center, 6th Floor, 2 Avenue de Lafayette, Boston, MA |
1. Boston’s Python Tech Fair
2. An Introduction to Data Science with Python
Boston recently ranked first among the top 25 startup hubs in America, according to a report by the U.S. Chamber of Commerce Foundation and startup incubator 1776. It is home to several successful startups, such as Where, DataRobot, Bedrock Data , etc. Many startups these days rely on Python when it comes to traction, creating data reports, and filtering large data sets. Since the popularity of Python is only increasing, so is the scope of Python developers.
In Boston, the following companies are hiring Python developers:
You can try one of the following groups to meet other Python developers in Boston:
A Python developer is responsible for writing code and testing it. Apart from this, he/she also debugs the code and integrate it to applications with web services from a third-party.
Below are some reasons why one should learn Python programming:
Here is how you can create your first program in Python:
print “Hello world!”
Output: Hello world!
The 2 different ways of running a Python program are:
To run Python script on Windows, try one of the following options:
You can enter the REPL shell by typing in Python. This will work only if the classpath contains the Python executable binary.
If Python executable is in windows classpath, you need to open up a command prompt and go to the location of the file.
>> C:\Users\y\hello.py - For Windows
$ /usr/bin/hello.py - For Linux (Ubuntu) This will find the hello.py file and starts its execution.
Here is how you can effectively run Python scripts on Mac OS X:
Below are the top 4 applications of Python programming language in the real world:
To get the Python script running on your script, the first step is to make sure that Python is installed on the system. Python is platform independent. So, all you need to do is install Python depending on your operating system. And you won’t have to create different scripts for different platforms.
To download & install Python 3 in Windows, you need to follow these easy steps:
For downloading and installing Python on Mac OS X, follow these steps:
$ Xcode-select --install
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" To confirm the installation: brew doctor
brew install Python.
If you don’t have Python installed on your Ubuntu, you can do so by installing the below-mentioned steps:
$ sudo apt-get update
$ sudo apt-get install Python3.6
KnowledgeHut’s FSD Bootcamp helped me acquire all the skills I require. The learn-by-doing method helped me gain work-like experience and helped me work on various projects.
All my questions were answered clearly with examples. I really enjoyed the training session and am extremely satisfied with the overall experience. Looking forward to similar interesting sessions. KnowledgeHut's interactive training sessions are world class and I highly recommend them .
Knowledgehut is the best training institution. The advanced concepts and tasks during the course given by the trainer helped me to step up in my career. He used to ask for feedback every time and clear all the doubts.
I had enrolled for the course last week at KnowledgeHut. The course was very well structured. The trainer was really helpful and completed the syllabus on time and also provided real world examples which helped me to remember the concepts.
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KnowledgeHut has excellent instructors. The training session gave me a lot of exposure to test my skills and helped me grow in my career. The Trainer was very helpful and completed the syllabus covering each and every concept with examples on time.
This is a great course to invest in. The trainers are experienced, conduct the sessions with enthusiasm and ensure that participants are well prepared for the industry. I would like to thank my trainer for his guidance.
Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.
You will learn:
By the end of this course, you would have gained knowledge on the use of Python programming language to build applications.
There are no restrictions but we recommend having basic programming knowledge.
Yes, KnowledgeHut offers python programming training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are Python experts who have years of industry experience.
Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of the written request for refund. Kindly go through our Refund Policy for more details.
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