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Python Certification Training in Pune, India

Learn Python Programming Language from Basics to Advanced

  • 24 hours of Instructor led Training
  • Immersive hands-on training on Python Programming
  • Learn Python Programming core concepts-control flow, operators, functions, syntax & indentations
  • Learn Best Python Coding Practices
Group Discount

Python Training Course Description

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.

Do you know what exactly is Python?

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.

What Programming skills will you learn with this Python Certification Training Online?

  • About interpreters and Python Script
  • How to install Anaconda and Python distribution
  • To write Python code to implement string operations
  • To write Python code to understand and implement Python Data Structures
  • To write Python code to implement loop and control structures in R
  • To write Python code to create your own custom functions without or with arguments. Also, learn how to call them by passing arguments as per requirements
  • To write Python code to create modules as well as execute them
  • To write Python code to use Regular Expression and match pattern, parse data and so on
  • To write Python code to construct a class and define objects

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

Chapter No

Python Tutorial Chapters

1

Python - Introduction

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. 

2

Python - Getting Started

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.

3

Python - Basic Syntax

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. 

4

Python - Variables

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.

5

Python - Numbers

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. 

6

Python - Strings

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. 

7

Python - List and Tuple

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.

8

Python - Dictionary

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.

9

Python - Sets

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.

10

Python - Operators

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.

11

Python - Conditional Statements

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.    

12

Python - Loops

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.

13

Python – Built-in Modules

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. 

14

Python - User Defined Functions

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.

15

Python – Functional Programming

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.

16

Python - Custom Modules

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.  

17

Python - Packages

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.

18

Python - Exceptions

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.

19

Python - FileIO

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.

20

Python - CSV

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. 

21

Python – Database Connectivity

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.

22

Python – Tkinter

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.

23

Python - OOP

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.

24

Python - Decorator

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. 

25

Python - Inheritance

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.    

26

Python - Magic Methods

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.

27

Python - Regex

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.

28

Python - CGI

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. 

29

Python – Send Mail

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.

30

Python - Object serialization

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.

31

Python - Multithreading

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.

32

Python - XML

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.

33

Python – Socket Module

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.

34

Python - Dataclasses

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. 

Why Python Certification Course?

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.

What you will learn in this Python Course

Python Course Prerequisites

We recommend:

  • Knowledge of basic programming concepts
  • Knowledge of object-oriented concepts will be beneficial

3 Months FREE Access to all our E-learning courses when you buy any course with us

Who should Attend this Python Training Course

  • Web developers, programmers, engineers, big data scientists, etc
  • Professionals who want to strengthen their knowledge of Python
  • Suited for beginners and experienced professionals

KnowledgeHut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.

Hands-on coding

Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.

Expert Mentorship

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Projects in this Python Certification Course

Jumbled Word

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.

Read More

Dice Rolling Simulator

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.

Read More

Tic-Tac-Toe

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.

Read More

Calculator

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.

Read More
Note:These were the projects undertaken by students from previous batches.  

Python Training Course Curriculum

Learning Objective:

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.

Topic Covered:

  • History of Python
  • Why to use Python?
  • Starting Python
  • Interpreter PATH
  • Using the Interpreter
  • Python Scripts on UNIX/Windows

Hands-on:

Learn about interpreters and Python Script.

Learning Objective:

Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.

Topic Covered:

  • Python Editors and IDEs
  • Install Anaconda

Hands-on:

Install Anaconda - Python distribution

Learning Objective:

In this module, you will learn to convert messy text into something useful.

Topic Covered:

  • String Operations
  • Data Types & Variables
  • Commonly used Operators

Hands-on:

Write Python code to implement string operations.

Learning Objective: 

Learn the various data structures that are used in Python.

Topic Covered:

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Hands-on:

Write Python Code to understand and implement Python Data Structures.

Learning Objective:

Learn all about loops and control statements in Python.

Topic Covered:

  • For Loop
  • While Loop                
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement

Hands-on: 

Write Python Code to implement loop and control structures in R.

Learning Objective:

Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.

Topic Covered:

  • Writing your own functions (UDF)
  • Calling Python Functions                 
  • Functions with Arguments
  • Calling Python Functions by passing Arguments
  • Lambda Functions

Hands-on:

Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.

Learning Objective: 

Learn to build modules and install packages.

Topic Covered:

  • The Import Statement
  • Module Search Path
  • Package Installation Ways

Hands-on:

Write Python Code to create modules and execute them.

Learning Objective: 

Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.

Topic Covered:

  • RE Objects
  • Pattern matching
  • Parsing data
  • Subexpressions
  • Complex substitutions
  • RE tips and tricks

Hands-on:

Write Python Code to use Regular Expression and match pattern, parse data and so on.

Learning Objective: 

Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects.

Topic Covered:

  • Introduction to Python Classes
  • Defining Classes
  • Initializers
  • Instance Methods
  • Properties
  • Class Methods and Data
  • Static Methods
  • Private Methods and Inheritance
  • Module Aliases

Hands-on:

Write Python code to construct a class and define objects.

Learning Objective: 

Study Use Cases to explore Python

Topic Covered:

  • Use Case

Hands-on:

Use cases covering conditional statements, functions, classes, modules, regular expressions.

Python Certification Process

What is Python

Python is a high-level object oriented and interpreted programming language containing dynamic semantics. The syntax of Python is easy to understand and learn. The emphasis is mainly on easy inference and readability. Hence, the maintenance cost of the program is considerably reduced. The Python interpreter and the extensive library are among the reasons why developers prefer Python for different applications. The compilation step is eliminated in Python programs, thus increasing productivity.

Guido van Rossum, a member of the National Research Institute of Mathematics and Computer Science, initially conceptualized Python in the late 1980s. At first, it was designed to respond to the foundation of ABC programming language in the Netherlands. Van Rossum started developing a scripting language when he was working at Centrum voor Wiskunde en Informatica (CWI) as ABC programming language implementer.  

The programming language he was developing was aimed to overcome the drawbacks of ABC. In 1991, he introduced the first version of the language, with Modula 3 as the name of the module system. 

There was a hit BBC comedy show in the 1970s named ‘Monty Python’s Flying Circus’. Van Rossum was a big fan of the show. He named his language ‘Python’ after the show.

The reasons why both beginners and experts prefer Python programming language are:

  • Open-Source Community: Python is known for its vast community. Since it is open source, thousands of projects are available online, which can be integrated into your project as well.
  • Corporate Backing: Like Microsoft and C#, Facebook and PHP, Python is also backed by Google. Since Google extensively uses the language, it also updates guides and tutorials for beginners looking to learn the language.
  • Academics: Since Python is a general-purpose language, it can also be used for the purposes of research. Fields like Data science, Machine learning etc. are powered by Python and its powerful libraries.
  • Efficient: The language is very versatile. A developed Python program can be efficiently deployed into any environment with minimal performance loss. The use of Regular Expressions minimizes the code length and maximizes its output.
  • Easy to learn: Perhaps the most attractive aspect of the programming language is that it is highly readable and can be learned very easily. The learning curve of Python is shorter in comparison to languages such as C#, Java, etc.

As compared to programming languages such as PHP, C#, Java, etc. Python is still used heavily because:

  • Simplified learning: The syntax of Python is highly readable and can even be understood by someone who isn’t an expert. That isn’t necessarily the case with most programming languages.
  • General-purpose: Given the general-purpose nature of Python, it can be used for different tasks. It is employed into software for various fields, including cloud computing, web development and even research fields such as data science and machine learning.
  • Vast community: Thanks to the huge global community, numerous stable packages are available with regular updates being provided as well.
  • Flexibility: The implementation of Python with other programming language is a testament to the flexibility of the language. For instance, if a particular task requires Java, Jython can be easily used for it.

 Given below are the steps for beginners to get started with Python:  

  1. Know ‘Why Python’: Before you learn Python, you should know why you want to learn or use it. Knowing so will motivate you for the entire learning process.
  2. Installing Python: You need to decide on the Python version you need to install, based on the purposes. You can install it via Anaconda package manager or the official Python website.
  3. Using IDE: You should use IDE for debugging. It will help you understand the errors in your code and learn from them.
  4. Get used to the basics: Learn technical aspects of Python including variables, lists, tuples, functions, etc. You can make use of online courses, videos and blogs as well.
  5. Implement: Learning is always incomplete without implementation. Work on projects with your peers or join bootcamps in Pune to get some experience on real world-projects. 

If you do not have any experience working on projects using Python, the following list of topics will help you implement the language faster:  

  • Help Function: Help() function in function can be used to learn how objects work
  • Indentation: The scope of a code block in Python is defined by indentation rather than curly braces
  • Data structures: Python provides data structures like lists, tuples and dictionaries. Even functions can be pointed to by Variables.
  • Flow control statements: The flow control statements in Python include - if, for, while, and range(<number>).
  • Classes and functions: ‘def’ keyword is used in Python for functions and ‘class’ is used for classes.
  • Exceptions: Exception handling feature is provided in Python by try-except.
  • I/O: File handling can be done in Python by using a range of in-built libraries.
  • Importing libraries: A program in Python can include various external libraries. These libraries can be imported into the program using: import <library> or from <library> import <function> keyword.

  Note: The topics mentioned above can be learned for free from online resources as well.

Python Certification in Pune, India

No, Python programming language is not difficult to learn. It has a huge in-built library and functions which make program development less complex and more efficient. It focuses a lot on readability. The syntax is close to normal English writing, making it easier to understand and learn.

Python is popularly known as one of the easiest programming languages that a beginner can learn. Reasons include:  

  • The programming language is efficient with data structures that provide effective and simple coding approach.
  • It makes use of object-oriented programming, the understanding of which will also be helpful with other languages.
  • The vast in-built functions and libraries reduce complexity, improve efficiency and save time while programming.
  • The syntax is close to English language, making it easier to learn and build programs.
  • The learning curve of Python is gradual rather than steep.
  • A beginner can get help whenever he or she is stuck with a problem, thanks to abundant documentation
  • The community of Python itself is huge and highly helpful. Beginners can post their questions and problems on online forums. The community developers will either provide a direct solution or aid the programmer in solving the problem.

If you already have some prior experience in programming, you will know the basics and logic of programs. In that case, you will only have to learn the syntax, which shouldn’t take more than a month. For a complete beginner, it could take approximately 3 months dedicating around 4 hours per day. Given below is a list of important topics that may take some time to complete:

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

  The 4 best ways of learning Python in 2019 include:  

  • Complete Python Bootcamp: Go from zero to hero in Python 3: This course from Udemy is particularly designed for beginners in Python. Over the course of 24 hours, this course covers everything from creation of classes to creation of decorators. There is also a tutorial for creating games on Python,
  • KnowledgeHut: Learn Python programming language from basics to advanced in this 24-hour long certification program. It also includes real-world projects and case studies to provide you with hands-on experience.
  • The Python Bible™ | Everything You Need to Program in Python: This 9-hour course offered by Udemy aims to turn beginners into professionals. Focusing on projects, the course covers the basics of Python and guides to create a total of 11 projects.
  • Full Stack Python: Best Python videos: There is a range of video resources available for experts as well as beginner level programmers.

The average salary for a Python Developer is Rs 3,66,976 per year in Pune.

How to Learn Python in Pune, India

 Below are some effective ways to start learning Python the right way:  

  • Know your motivation: Before you start learning Python, you need to know what motivates you in the first place. Knowing your motivation will allow you to strive for your goal, making sure you don’t leave the learning process midway. It is advisable to choose an area in which you can apply your knowledge, some of which include:
    • Games and Data Science
    • Sensor, Hardware or Robot development
    • Script development for automation of work
    • Mobile applications
    • Websites
    • Machine Learning Applications  
  • Learn the basic syntax: This step cannot be skipped by any means. You should spend at least some time to learn the basic syntax. Once you are able to develop the basic programs using Python, you can start implementing your learning in your preferred field. You will learn faster if you work on projects.
  •  Develop Structured projects: You can start developing your own Python projects once you are acquainted with Python syntax. Applying what you learn can help you retain it, which is exactly what happens when you develop projects. The learning process is such that it is difficult to forget. It will also help you build your portfolio.

 

The following courses will be helpful in learning Python 2:  

  • Python 2 Course: The self-study course encourages exploration of the tutorial and learning through implementation. While beginners can get the most out of it, even the experts and intermediates can check out the course. An online interpreter is available on the website for some hands-on Python coding.
  • Python 2.7 Tutorial: The tutorials of this course are based on the Python content of the YouTube channel of mybringback. Meant for complete novices, the course also provides learning materials. Some advantages include:
    • Free course
    • Video-based tutorials
    • Concise and doesn’t focus a lot on details  
  • Learn Python 2: This 22-part course covers Python 2 from the very basics. There are no prerequisites for it. The content of this course mixes and refines two popular Python courses: Google’s Python class and Django girl’s Python tutorial. This free course takes around 3-4 weeks to complete. Highlights of the course include:
    • Beginner friendly
    • Teaches dictionaries and lists
    • Regular expression and Python 2 utilities are introduced
    • Sorting and File I/O are taught

The world of programming is diversified yet Python continues to attract beginners as well as professionals because of the benefits it offers, including:  

  • Due to the general-purpose usability, Python is used for most platforms of automation, data mining and big data.
  • Given the ease of learning and high readability, Python is suited for research purposes as well as for beginners.
  • The vast global community means there are many packages and newer features are provided through regular release of stable updates.
  • Useful frameworks such as Django and Ruby on Rails make use of Python. These frameworks facilitate the overall development process.
  • Python offers a more productive coding environment, because of which Python programmers stay more organized as compared to programmers of languages like C# or Java.

Following are the top resources for learning Python:  

  • Learn Python 2 - Codecademy: This 25-hour course covers the fundamentals of programming and Python language itself. This course doesn’t have any prerequisite.
  • Real Python: The course starts with the basics of Python language and then moves to web programming using the language. Frameworks like web2py, Django and Flask are also taught for web development.
  • Learn Python, it's cake - Udemy: Requiring around 7 hours to complete, this is the best free course for beginners who have no knowledge of coding.
  • Python for entrepreneurs: This course is meant for those who are planning to use Python in their businesses or startups. It 19.3 hours long course costing 89 USD.

If you don’t have any experience in Python programming but want to learn it, you should follow the steps given below:

  • Choose your area of interest: Given the diverse nature of Python, it is easy to lose your way if you don’t have any aim. Find something that can motivate you. It can be a project or a particular area of interest, such as:
    • Data Science
    • Game programming
    • Web development
    • Machine Learning
  • Cover the basics: Begin with the basics first, which is mainly the Python syntax. Since the syntax is easy to understand and read, it is possible even for a non-technical person to learn the syntax in quick time. Following course can help you learn better:
  • Implement: Implementation is the next step after learning the syntax. Majority of the learning is done through practical experience. You can begin with a project of your own. It can be something as small as creation of an automation script. 
  • Social coding: You can understand the official or commercial application of programs by contributing to open-source projects available online. Websites like GitHub can be used for it. Through social coding, you can even establish a network which can be helpful for your career.
  • Competitions: Online and offline competitions like hackathons can further facilitate your learning. You understand how to get an optimal solution under certain constraints. These competitions encourage out-of-the-box thinking.

Python is a highly preferable language for data scientist. If you aspire to become a data scientist, it is essential that you learn Python. The following steps will help you get started with Python for data science:  

  • Step 1: Download Anaconda on your system and set up Python. This step sets up the necessary environment and the basic tools to start programming.
  • Step 2: Begin learning about the programming language and how to get the necessary output through the use of multiple libraries.  Learn about lists, tuples, dictionaries and importing and exporting of libraries and functions
  • Step 3: Data science projects heavily involve data cleaning, which is preparation and correction of input data. There are different forms of input data, text data being an example of it. For text data, you can learn Regular Expressions in Python. 
  • Step 4: Familiarize yourself with the major data science libraries like SciPy, NumPy, matplotlib, scikit-learn, etc. For better understanding, use these libraries for creating projects. 
  • Step 5: Data visualization is an important part of a data science job. Python has a library named matplotlib that is particularly suited for the task. Get to know this library and use it for visualizing data sets. 
  • Step 6: Python provides with numerous libraries which can help in setting your ML model into which data can be injected. Knowledge of deep learning is also important for those who wish to become data scientists. 
  • Step 7: If you wish to become a data scientist, you have to keep practicing. From online competitions such as Kaggle to Python projects, there are many ways to practice your skills.

Python Developer Salary in Pune, India

The average income of a Python Developer in Pune is Rs 3,66,976 as compared to Rs. 4,61,223 in Chennai.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Chennai-TN 

The average annual pay of a Python Developer working in Pune is Rs 3,66,976. Hyderabad, on the other hand, has an average annual salary of Rs. 6,79,467 for a Python Developer.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Hyderabad-TS   

A Python Developer makes about Rs 3,66,976 on an average per year in Pune as compared to Rs.5,91,142 earned by a Python Developer in Mumbai.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Mumbai-MH   

Pune is home to the biggest IT park of India and home to 2002 Tech startups, including FirstCry, Faasos, MindTickle, etc. Since Python is used in several IT projects, this demand is only going to increase in the future. There are several companies looking to hire Python developers like Source Code Technology Pvt. Ltd, Neosoft Technologies Pvt. Ltd, Innoplexus, Nobel – IT solutions and development, Keywordio, NXL labs, etc.

Python developers are quite in demand right now. There are several organizations in Pune that hire Python developers for their projects and pay them well. Also, there are so many opportunities for job growth.

The perks and advantages of being a Python Developer in Pune include:  

  • Multiple job opportunities
  • Can work in different fields
  • Career growth
  • Affordable living
  • Networking opportunity through conferences, meetups, and tech talks
  • Great public transport

In Pune, the top companies hiring Python Developers include Trinesis Technology Pvt. Ltd, Pitney Bowes, Netquall Technologies, Synergia Technologies, DI Technology, Calsoft, Creatosaurus, Trinesis Technology Pvt. Ltd, Nakshatra Services, Orient Technologies Pvt. Ltd, Technolearn Trainings, etc.

Python Conferences in Pune, India

S.NoConference NameDateVenue
1.Python Seminar02-08-19
Skills Cafe, Jm Road Shivajinagar, 208 Om Chambers, Pune
2.August Python Pune meetup 2019
10-08-19
Payatu Technologies Pvt Ltd, MG Road, Pune
3.Machine Learning and Deep Learning Day
25-10-19
Radisson Blu Hotel Pune Kharadi, Nagar Bypass Road, Pandhari Nagar, Kharadi, Pune

1. Python Seminar

  • About the Conference: The conference will focus on the introduction to Python Programming. This is an excellent opportunity for beginners to familiarize themselves with Python programming.
  • Event Date: 02-08-19
  • Venue: Skills Cafe, Jm Road Shivajinagar, 208 Om Chambers, Pune
  • Days of Program: 1
  • Timings: 6pm onwards
  • Registration cost: Free
  • Major sponsors: Skills Cafe

2. August Python Pune meetup 2019

  • About the Conference: The event provides an opportunity for the developers of the city to interact and engage with their fellow developers to discuss, engage and innovate.
  • Event Date: 10-08-19
  • Venue: Payatu Technologies Pvt Ltd, MG Road, Pune
  • Days of Program: 1
  • Timings: 10:30am onwards
  • Registration cost: Free
  • Major sponsors: PythonPune

3. Machine Learning and Deep Learning Day

S.NoConference NameDateVenue
1.PyCon Pune
04-02-17
Amanora, the Fern, Pune
2.Python Programming Workshop
13-01-18
Defour Analytics Pvt. Ltd. , West Pune

1. PyCon Pune

  • About the Conference: This was Pune’s first ever Python Conference. This 4 day event saw more than 500 attendees and discussions about the growth of Python development in the city and ways to take it forward.
  • Event Date: 04 February, 2017
  • Venue: Amanora, the Fern, Pune
  • Days of Program: 4
  • Major sponsors: Python Software Foundation

2. Python Programming Workshop

  • About the Conference: This was a single day workshop to learn Python for practical use. From basics to strings, lists, structures and file handling, the attendees got the chance to learn Python the comprehensive way with practical application at every step.
  • Event Date: 13-01-18
  • Venue: Defour Analytics Pvt. Ltd., West Pune
  • Days of Program: 1
  • Timings: 10 am onwards
  • Registration cost: Rs. 2990

Python Developer Jobs in Pune, India

The average salary for a Python Developer is Rs 3,66,976 per year in Pune.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Pune-MH 

There are several companies in Pune that are working on or creating systems powered by Python. They are actively looking for talented and trained Python developers to join their team. Currently, there are 2476 Python Jobs in Pune on Naukri.com. So, the scope of a Python developer is high in Pune.

In Pune, the following companies are hiring Python developers:

  • Source Code Technology Pvt. Ltd 
  • Neosoft Technologies Pvt. Ltd
  • Innoplexus, Nobel – IT solutions and development
  • Keyword 
  • NXL labs

You can meet with other Python developers in Pune through the following groups:

As a Python developer, you will be responsible for 

  • Writing the code
  • Testing and debugging it
  • Integrating it to the applications with third-party web services
  • Developing back-end components
  • Implementing security and data protection

Learn Python Programming in Pune, India

Following are the main reasons to learn Python programming language:  

  • Highly popular and scope for lucrative income: Python is highly popular among developers. As it can be used to meet various development needs, it is truly a universal language. Python developer is in the list of 10 most payable jobs in the software industry.
  • Portable and extensible: Python is supported by some of the major platforms in the industry including Linux, Macintosh, Solaris and PlayStation, among many others.
  • Simplicity and ease of learning: Despite being a powerful programming language, Python has syntax that closely resembles the English language. The following are the contributors to the simplicity of the language:
    • Free and open source
    • High level
    • Interpreted
    • Active and vast community of developers  
  • Web Development: There are numerous Python frameworks that allow development of websites. Since Python is used for most frameworks on websites, a code in Python is more stable and runs faster as well.
  • Testing Framework: Python provides numerous built-in testing networks, including frameworks for testing fastest workflows and debugging. Using Python simplifies the tedious task of testing.

Follow the steps given below to create your first program using Python:  

  • Step 1: Ensure installation of Python by entering the command given below. It will display the Python version installed on your computer.

Python --version

  • Step 2: Type out the code given below in notepad or any other suitable text:

print “Hello world!”

  • Step 3: Save the file as <filename>.py. For example, you can 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: Finally, open your terminal or command prompt, navigate to the directory where the .py file is stored and run the command given below:

hello.py Output: Hello world!

Following are the two ways of running a Python program: 

  • Through Python shell
    • Open the Python GUI or IDLE
    • Simply type in your Python script and press enter
    • Your program will start running
  • Through a file

  Follow these steps to run a Python script file containing the program:  

  • Write the script independently in a file
  • Save the file with a ‘.py’ extension, which indicates that the file is a Python program.
  • Open the terminal on your system.
  • Go to the directory where the file with the .py extension is stored by entering the following command:
    • 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.
  • Lastly, type filename.py to run your program.

There are essentially two ways of running Python script on any OS:  

  • Running commands on Python interpreter (REPL)
  • Running a Python file containing the commands

  Regardless of the way of running the script, Python has to be installed in your system. The following command can be used to check the installation. It will display the version of Python installed on your system: Python --version  

  • If Python executable binary is in your classpath then you can enter the REPL shell by simply typing Python.
  • Alternatively, if you want to run a file and Python executable is in your windows classpath then you need to enter the file location in the command prompt.
    • For example:

Windows: >> C:\Users\user1\hello.py   Ubuntu (Linux): $ /usr/bin/hello.py

The command mentioned above finds the hello.py file and executes it.

Python can be most efficiently run on Mac OS X using IDLE integrated development environment that comes with Python installation.  

  • Firstly, you will need a document editor for creating Python scripts before running the scripts from the Terminal window or the Finder.
  • Mac OS X has many standard Unix command line editors pre-installed, including vim and emacs.
  • If you want to run the Python script from the Terminal window, make sure that /usr/local/bin is in the shell search path.
  • If you want to run the Python script from the Finder, you have two options:
    • Drag it to the PythonLauncher
    • Select PythonLauncher as the default application for opening a script through the Finder.
  • You can use Pythonw rather than Python for initializing these scripts and running them with a GUI.

Python Applications

 Since Python is a general-purpose programming language, it is extensively used for different applications.  

  1. Web application development: Frameworks such as - Django, Pyramid, Bottle and Flask are provided by Python for this specific purpose
  2. Academics: Python libraries like NumPy, matplotlib, Pandas, scikit-learn and SciPy are used extensively for academic projects and also for research purposes.
  3. GUI-based applications: TkInter library is a GUI library provided by Python along with numerous other GUI libraries that can be used for creating desktop applications with smooth interfaces.
  4. Business and enterprise applications: Python is used for building e-commerce and ERP applications as well. Tryton and Odoo are two of the most popular libraries in this regard.
  • Capgemini
  • Calsoft
  • iDatalabs
  • Cognizant

Python Setup

Python is a platform independent programming language, which means that once a Python script is developed, it can be run on multiple platforms that Python supports. If Python is already installed on your system, you are all set to develop Python scripts and run them on your system.

At the time of writing, Python 3.6 is the latest available stable version of Python 3. For its installation, you can utilize the Anaconda Python package. The installation instruction is given below:  

  • Click on the link given below to go to the homepage of Anaconda:
  • From the main menu, select the Anaconda tab followed by the Download tab to go to the Download page.
  • At the download page, select the operating system you are using, i.e., Windows, Linux or OSX.
    • Select the Python 3.6 option
    • Next, select the Graphical Installer
  • The steps mentioned above will initiate the Anaconda Package installation on your workstation
  • Installation of Anaconda
    • You can begin Anaconda installation once you have downloaded the Anaconda package on your system.
    • Make sure you have the admin privileges for software installation on your system
    • Click on the Anaconda file you downloaded
    • The installation wizard of Anaconda will open, through which you can easily and quickly install Anaconda package.
    • The Anaconda package installation will not take more than 1 GB of hard disk space.
    • This whole process will hardly take 10 minutes to complete.
  • Initializing and updating Anaconda
    • If you have Anaconda package installed on your system, you can check whether the Python environment you have is up to date.
    • There is an entire suite of graphical tools included in the Anaconda Python Package, known as Anaconda Navigator. You can launch the Navigator via the application launcher
    • elect the Conda option from the Application Launcher window.
    • Type the following command in a command line window for confirming installation of conda in your environment:
      • Conda -V      
    • Proceed to confirm correct installation of Python by typing the command given below:
      • Python -V     
    • If no error is displayed, it indicates successful installation of Conda.
    • To confirm whether the latest version of Conda is installed, type the command given below:
      • Conda update conda
      • Conda update anaconda

Python works on Mac OS X in a similar manner to other Unix platforms. The difference lies in the fact that you have to pay attention to a few additional features like the IDE and the package manager.  

  • Python 2.7 is usually pre-installed with Mac OS X
  • For installing newer Python versions, download the latest from www.Python.org.
  • With Python installation on Mac OS X, you get:
    • A framework including the Python libraries, function as well as the executable. The installer adds the location to shell path, there is no need to do it manually. Simply removing these from your system is enough for uninstalling MacPython
    • A MachPython 2.7 folder inside the Applications folder. You can find IDLE in this folder. IDLE is the standard development environment of Python distributions.
      • PythonLauncher is included as well and it handles double-clicking Python scripts from the Finder.
      • The Build Applet tool, which allows packaging of Python scripts as standalone applications, is also included
  • The installation location of the Python build provided by Apple are- /usr/bin/Python and /System/Library/Frameworks/Python.framework. User should not delete or modify these since Apple controls and uses them. They are used by third party software as well.
  • There is also a help menu in the IDLE, through which the Python documentation can be accessed. This contains everything, including FAQs and tutorials, which makes it easier for developers to use Python.

Ubuntu LTS comes with Python 2.7 and Python 3.5 preinstalled. On the off chance, if your Ubuntu doesn’t have Python pre installed, the steps given below can be followed to installed Python 3.6. The apt-get package manager is used for fetching Python.

  • Open the terminal and type the following command to update the apt-get package. When prompted, you need to enter the password.

$ sudo apt-get update

  • Python 3.6 installation requires you to enter the command given below:

$ sudo apt-get install Python3.6

  • The following command can be used to run Python 3.6:

$ Python3

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Faq

Python Certification Course

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:

  • How to use the Python and its environment
  • How to use Python functions to manipulate data
  • How to use Python modules, regular expressions and object oriented concepts

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. 

Finance Related

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.

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy..

The Remote Experience

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

Have More Questions?

Python Programming Course in Pune

Pune is the seventh-most heavily populated city in India and the second largest in the state of Maharashtra. The Pune district is marked by magnificent land and forts that hold testimony to its glorious past. Today, Pune is the cultural centre where education, arts and crafts, and theatre are given pride of place. It has one of India's oldest universities and its many colleges attract both Indian and international students, which is the reason why it is called the Oxford of the East. Pune is gradually growing to be a cosmopolitan city and is now an important commercial centre. However, Pune retains the old-world charm and its many quaint characteristics, including the ubiquitous cyclists, rickshaws. Surrounded by lush hills and beautiful lakes, Pune is among the greenest urban areas in the country. Qualified professionals in CompTIA Cloud Essentials, Big Data and Hadoop and many others can do well in this booming city. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.