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Python Certification Training in Mumbai, 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

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 Certification 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.

Meet your instructors

Sukesh

Sukesh Marla

Founder

Irrespective of project size I believe in working as a team. We are a team of highly qualified engineers with each specializing in their own field like designing, testing and development.
Working in a team ensures the work is not affected in case of any eventuality of any of team member. This guarantees timely delivery.

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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 Certification 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 programming language which is object oriented and contains dynamic semantics. It is a lucrative language for Rapid Application Development due to its dynamic building and typing. Python’s syntax is easy to learn and understand. Its readability and inference is easy which helps in reducing the maintenance cost of the program. It has an extensive standard library. Along with this, there is also a Python interpreter. These two tools are a reason why Python is a highly preferred language among developers. 

Python was first conceptualised in the late 1980s by a man named Guido van Rossum, who was a member of the National Research Institute of Mathematics and Computer Science. The new language was initially designed as a response to the ABC programming language which was found in the Netherlands. Van Rossum worked on the development of a language which had a syntax that resembled the ABC language. He hoped that the new language will overcome the flaws of the ABC language. The initial version of the new programming language was introduced in the year 1992.

The name ‘Python’ came from a 1970s BBC comedy TV Show ‘Monty Python’s Flying Circus’ which was a favourite of Van Rossum. He liked the name because it was short, unique and mysterious.

The reason behind such a rise of this language in Mumbai could be explained by the large number of work opportunities here. Rolling Arrays Consulting, Rao Edusolutions Pvt. Ltd, Digital Instrument Pvt. Ltd, Ungeek, Technokart Consultancy, BlackRock, T3 Softwares, Buzzworks, Softlabs Group, Nevpro Business Solutions, etc. are some of the companies in Mumbai looking for Python developers. 

Python is the preferred programming language for both beginners as well as experts due to the following reasons:

  • Community: One of the main reasons why Python is a preferred language is because of its open source community. This means that there are thousands of projects that are already present online which can be integrated with any project of your own. 
  • Corporate sponsor: Just like Microsoft uses C and Facebook uses PHP, Google uses Python. Python is heavily backed by Google and is used extensively. Due to this, Python tutorials are regularly updated and new programmers can find guides to learn Python. 
  • Academics: Python is heavily used for research purposes as it is a general-purpose programming language. Major fields like machine learning and data science are powered by Python. 
  • Efficiency: Regular expressions are used by Python so that the length of the code is minimised and the output is maximized. A Python program can be developed and deployed in any environment without the threat of performance loss. 
  • Learning: Learning is probably one of the major reasons why Python is a popular programming language. Along with numerous features, the language is easy to learn and understand. It is efficient and has high readability. A beginner with no programming experience can easily learn Python because it has a shorter learning curve than other languages such as Java, C et cetera.

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

  • Ease of learning: It has high readability and it is easy to learn. As the syntax of Python is simple, it can be understood even by a beginner. Python is unlike most programming languages. 
  • General purpose: Python has been integrated into various software in different fields such as web development, cloud computing, research fields like data science and machine learning. 
  • Big community: Python has a large Global community which regularly interacts on discussion forums. 
  • Flexibility: As is evident from its numerous implementations with other programming languages, Python is a very flexible programming language. 
  • Business use: Non-technical professions also work with Python because of its ability to analyse data, which is one of the hot skills of today's world.

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

  • Understand why Python
  • Install Python
  • Use IDE
  • Learn basics
  • Implementation

    • Understand why Python: Before learning Python, it is important to understand what will be the use of this programming language. Understanding why to use Python will help in creating and motivating the learning process. 
    • Install Python: After understanding why to use Python, you will have to decide which version of Python to install. Python can either be installed from the official website or it can be installed using the Anaconda package manager. 
    • Use IDE: As a beginner, anyone can make mistakes while coding. It is important to understand the errors and learn from your mistakes. IDE will help you in debugging your code. 
    • Loan basics: Before starting coding, you can use online videos, blogs and courses to help you get started with the technical aspects of Python. 
    • Implementation: After learning the basic aspects of the programming languages, implement it by writing a code. You can also join various bootcamps in Mumbai, these boot camps will help you gain practical experience. 

Below is a list of topics to help you learn Python fast:

  • Help in Python: Use the help function to know how an object works. 
  • Indentation: Python uses indentation to define the code block ok instead of curly braces. 
  • Data type: Python provides data structures such as lists, dictionaries and tuples. 
  • Exceptions: There is an exception handling feature try-except. 
  • I/O: There is a wide range of built in libraries in Python to handle file handling. 
  • Importing libraries: There may be several external libraries in a Python program. These libraries can be imported into the main program by using the following code:import <library> or from <library> import <function> keyword.

Note: Above topics mentioned can be learned from online resources available for free as well.

Python Certification in Mumbai, India

Python is one of the easiest programming languages to learn. Development of a program is efficient and easy in Python due to the vast and inbuilt Python library, which makes the process less complicated. Python Syntax is more like writing in English as Python places a lot of effort on readability. This makes the language easier to learn.

Python is one of the easiest languages to learn for beginners. Some of the reasons that make it easy for beginners to learn Python include the following:

  1. Python is an easy and efficient programming language which offers data structures that have a simple and effective approach to coding. 
  2. As the language is based on object oriented programming approach, even a beginner can build a base for other programming languages. 
  3. Python has a massive built-in library which has several functions. 
  4. Syntax of Python is elegant and easy to learn and build. It is extremely similar to the English language. 
  5. Unlike other programming languages, Python offers a gradual learning curve. 
  6. As the language is so popular, there is an abundance of documentation which makes it easier for a beginner to get help if stuck while coding. 
  7. Python has a very vast and helpful community of developers. If someone is stuck at a problem, the query can be posted online.

If you have previous experience in programming, then you would already know the basics of all programming languages. In this case, you would only need to focus on the syntax of Python. Understanding and learning the syntax take approximately one month. If you are a beginner in programming, then it will take you about 3 months to learn everything from scratch. 

When you are starting to learn Python, please make sure that the following list of important topics is covered as it takes the most time and is extremely important:

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

If you want to learn Python in Mumbai, you can either go for a boot camp or a course in an institution. This will help you acquire all the knowledge you need to become a Python developer. There are many training centres in Mumbai, such as TryCatch, Greyatom, RST, etc. 

Ranging from courses to books, here is a list of some of the best ways to learn Python language in 2019.

Python is one of the most wanted programming languages according to a developer survey done in 2018. This implies that a Python developer earns a higher salary than developers of other languages. The average salary of a Python developer in Mumbai is approximately Rs. 5,92,733 per year. Python developers earn higher salaries due to two reasons: 

  • The popularity of the language skyrocketed in the year 2015. After that, Python took over PHP. 
  • As Python is a general-purpose programming language the demand of the language has increased, and the supply is low. This has led to higher salaries for Python developers

How to Learn Python in Mumbai, India

Below are some right ways to learn Python the right way:

  • Figure out what motivates you: It is important for you to figure out what is motivating you to learn Python. You will have your eye on the final destination and will not abandon the task midway. The best way to figure out why you want to learn Python is to know what you will be using Python for. Your knowledge of Python can be applied in fields like game development, data science, hardware, robot, sensor development and development of script in order to automate work. 
  • Learn the basic syntax: It is important for any beginner to learn the basic syntax of Python so as to apply that knowledge while making websites, mobile application and machine learning applications. 
  • Developed structured programs: After you have learnt the basic syntax of Python, you will be able to develop projects of your own. Working and developing your own projects is one of the most efficient ways of practicing and learning Python. Projects will give you the opportunity to get this practical experience. They will help you push your own capabilities and will ensure that whatever you learn is retained even after completing the project.

Although many versions of Python have been released after Python 2, most of the applications are still operating on Python 2. Due to this, it is essential to learn Python 2 as well. Here is the list of courses which will help you learn Python 2 in the best way possible:

Python 2 course: This course is a self-study course which is best suited for beginners. It teaches the students to explore the tutorial by themselves and learn the language by implementation. Even though it is made for beginners, the course provides in-depth knowledge. Therefore, even intermediates and experts can take the course. Some practical experience is also provided in this course, which will help in better understanding of the language. 

Python 2.7 tutorial: This course is aimed at absolute beginners and features tutorials, which are based on the YouTube channel of mybringback. The course also has study material along with the tutorial videos. 

Learn Python 2: If you are really interested in learning Python 2, then this is the course for you. It is a 22 part course which teaches Python from scratch. You do not need to have any prior knowledge before starting this course. 

Artificial Intelligence and machine learning are being implemented by enterprises at a rapid pace. Python is emerging as the preferred choice among machine learning (ML) professionals and data scientists. That’s because of the following reasons:

  • Python is a general-purpose programming language which is used for platforms such as automation, big data and data mining. 
  • The language has high readability and is easy to learn. It is highly recommended for research as well as a beginner in the programming world. 
  • Python has a large Global community. 
  • Python offers an important and useful framework, which help in completing the development process. Python provides a more productive coding environment than other programming languages such as Java and C.

Here are some of the best resources to learn Python:

  • Learn Python 2 - Codecademy
  • Real Python
  • Learn Python, it's cake - Udemy
  • Python for entrepreneurs
    • Learn Python 2 - codecademy: This is a good course for beginners as it provides both Python programming language tutorials as well as fundamentals of programming language. No prior knowledge is required before starting the course. The course takes approximately 25 hours to complete. 
    • Real Python: This course teaches the basics of web programming using Python language. The course also gives knowledge on the basics of the language itself. Frameworks which are required for web development are also taught in this course. 
    • Learn Python, it's cake - Udemy: This course offered by Udemy is one of the best courses if you are a beginner without any knowledge of coding. This course will help you get started with your Python career and will take approximately 7 hours to complete. 
    • Python for entrepreneurs: Python is a great language to learn if you are planning to start your own business. The course costs $89 USD and takes 19.3 hours to complete.

If you want to learn Python and have no experience in it, below is a list of steps you can follow:

  • Find motivation: Having an aim before entering the world of Python is important because it is a huge field. Without any aim, you may lose interest along the way. Your motivation need not be just for a specific project, it can simply be an area of interest such as machine learning, game programming, data science, web development. 
  • Learning basics: The first step to do after finding an aim is to start by learning the basics. Python Syntax should be learnt and understood properly. The syntax is easy to read and understand and even a non-technical person can learn it in a short amount of time. The following courses can help you in learning the syntax: 

    • The Python Bible™ | Everything You Need to Program in Python
    • Google's Python Class
  • Implementation: After learning the basics and having the theoretical knowledge of Python, it is essential to implement the knowledge. Practical experience is important and can be gained through projects. You can try making your own project. It does not have to be complex or complicated, you can start with the simplest project. 
  • Competitions: Online and offline competitions such as hackathons are an important source of learning. They are the best way to learn as well as practice within a given frame of time. 

Below are the steps to help you get started in Python for Data Science:

  • Step 1: Set up Python on your system and download Anaconda as well. This will set up your environment with all the necessary basic tools for programming.
  • Step 2: Start learning about Python as a programming language, how to use multiple libraries into one program to get the desired output. Learn about lists, dictionaries, importing/exporting of libraries/functions, etc.
  • Step 3: Data cleaning is an important step in data science projects which prepares and corrects the input data.
  • Step 4: Get familiar with popular data science libraries such as NumPy, SciPy, scikit-learn, matplotlib etc. Create projects using these libraries to better grasp their knowledge.
  • Step 5: An important part of the job for a data scientist is to visualize the data given and Python provides a library perfectly suitable for the job - matplotlib. Play around with this library and try to visualize as much datasets as possible.
  • Step 6: The most important step in data science is by using your Machine learning knowledge. Python, thus, provides with numerous libraries which can help in setting your ML model into which data can be injected. 
  • Step 7: Practice and practice. You need to practice your skills in order to become a data scientist. Be it through projects or even online competitions like Kaggle etc.

Python Developer Salary in Mumbai, India

The average annual income of a Python Developer in Mumbai is Rs. 5,92,733 as compared to Rs. 6,80,509 in Delhi.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Delhi-DL 

As compared to the Python Developer’s average annual pay of Rs. 5,92,733 in Mumbai, Python Developers in Bangalore earn about Rs. 6,70,814 per year.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Bengaluru-KA 

The average annual remuneration of a Python Developer in Mumbai is Rs. 5,92,733 whereas in Chennai, it is Rs. 4,55,111.

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

A Python Developer in Mumbai earn an average of about 5,92,733 every year as compared to Rs. 3,79,964 earned by a Python Developer in Pune.

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

Over the past few years, the demand for Python developers in Maharashtra has increased and it is not coming down any time soon. The reason behind this is extensive use of Python in IT projects due to its simplicity and versatility. Companies like Softlabs Group, Nevpro Business Solutions, Neosoft Technologies Pvt. Ltd, GCE Solutions, DNEG, Selekt.in, Accion Labs, Quantsapp Private Limited, etc. are constantly looking for Python developers.

Mumbai is the financial hub of India  and has been the founding city of some of the most successful startups in India, including Ola, Quikr, Pepperfry, Toppr, etc. Mumbai offers several job opportunities to Python developers. Mumbai is home to 5002 Tech startups in Mumbai and offers several job opportunities to Python developers. There are several companies that are willing to pay a hefty salary to Python developers.

Mumbai is one of the best cities for a Python developer to work in. There are several startups, mid-sized companies and large corporations that are dealing with systems powered by Python and are looking for Python developers to join their team. Also, the city hosts several Python based tech talks, conferences, and meetups that a Python developer can use for networking.

A Python developer based in Mumbai can find a job in companies like Intelliconnect Technologies LLP, HERE Technologies, outlook Uk Ltd, Aapai Technologies, Apiro Data Limited, Rolling Arrays Consulting, Ungeek, Grace Facility Service, Digital Instrument Pvt. Ltd, Technokart Consultancy, BlackRock, Buzzworks, T3 Softwares, etc. Currently, there are 724 Python Developer Jobs available in Mumbai on Naukri.com.

Python Conferences in Mumbai, India

S.No
Conference name
Date
Venue
1.Artificial Intelligence: Machine Learning and Deep Learning Bootcamp
24th August 2019

Riidl Room No. 520, Bhaskaracharya Building, Somaiya Vidyavihar, Vidya Vihar East, Mumbai

2.2-Day Certified Machine Learning and Deep Learning Workshop
24th August 2019

91springboard Vikhroli Godrej & Boyce, Gate No 2, Plant No. 6, LBS Marg,, Opposite Vikhroli Bus Depot, Vikhroli West, Godrej & Boyce Industry Estate, Vikhroli West, Mumbai

3.International Conference on Artificial Intelligence And Robotics (ICAIR-2019), Mumbai
19th – 20th August 2019
Mumbai

1. Artificial Intelligence: Machine Learning and Deep Learning Bootcamp, Mumbai

  • About the Conference: This AI Specialization course will help you learn the foundations of creating machine learning and deep learning systems using Python. It will give you an in-depth knowledge of the AI world. You will learn implementation of supervised as well as unsupervised algorithm.
  • Event Date: 24th August, 2019
  • Venue: Riidl Room No. 520, Bhaskarachraya Building, Somaiya Vidyavihar, Vidyanagar, Vidya Vihar East, Mumbai
  • Days of Program: 1
  • Timings: 12:00 PM to 04:00 PM 
  • Registration cost: Rs. 15,000
  • Purpose: The purpose of the course is to help you learn the concepts of Machine Learning and Artificial Intelligence by working on real-life case studies from natural language processing, music generation, healthcare, sign language reading, and autonomous driving. You will be practicing these in Python using PyTorch/TensorFlow.

2. 2-Day Certified Machine Learning and Deep Learning Workshop

3. International Conference on Artificial Intelligence And Robotics (ICAIR-2019), Mumbai

  • About: The Conference will have a discussion on artificial intelligence and robotics.
  • Event Date: 19th – 20th August, 2019
  • Days of Program: 2
  • Timings: 9 AM onwards
  • Purpose: To provide knowledge of the new and emerging technologies in the field and understand the impact of technology-driven process. 
S.No
Conference name
Date
Venue
1.SciPy India, 2018
21st - 22nd December, 2018
Lecture Hall Complex, IIT Bombay
2.Hands-On Workshop on Python Programming
8th August 2018
Bombay Chamber, Mackinnon Mackenzie Bldg, 3rd Floor, Ballard Estate, Mumbai

1. SciPy India, 2018

  • About the Conference: This conference was organized to promote the use of Python in India’s scientific community. 
  • Event Date: 21st - 22nd December, 2018
  • Venue: Lecture Hall complex, IIT Bombay
  • Days of Program: 2
  • Timings: 08:30 AM to 06:00 PM 
  • How many speakers: 2
  • Speakers & Profile: 
    • Dr. Kathryn D. Huff - Assistant Professor, University of Illinois at Urbana-Champaign
    • Dr. Ajith Kumar - RF & Electronics Lab, IUAC
  • Registration cost: 
    • Rs. 2000 (With accommodations and T-shirt)
    • Rs. 1000 (Without accommodations and T-shirt)

2. Hands-On Workshop on Python Programming

  • About the Conference: In this workshop, the candidates were introduced to different concepts and techniques of Data Science. It included topics like artificial neural networks, NLP, Machine Learning, etc.
  • Event Date: 08th August, 2018
  • Venue: Bombay Chamber, Mackinnon Mackenzie Bldg, 3rd Floor, Ballard Estate, Mumbai
  • Days of Program: 1
  • Recommended for:
    • Software Engineers
    • System Analysts
    • Program Managers
    • User support Personnel
  • How many speakers: 1
  • Speakers & Profile: Mr. Dedhia - Independent Cyber Crime Investigator and Certified Ethical Hacker (EC-Council, USA)

Python Developer Jobs in Mumbai, India

Mumbai, also known as the city of dreams and the city that never sleeps, is home to several startups and big corporations that are looking for Python developers to join their team. The reason behind this popularity is because Python is a simple and versatile language that comes along with several packages and libraries that facilitates the development process.

Here is the list of companies you can work for as a Python Developer in Mumbai:

  1. Intelliconnect Technologies LLP
  2. HERE Technologies
  3. Outlook Uk Ltd
  4. Apiro Data Limited

Networking is very important for Python developers to share ideas for new projects. Here is a list of groups you can join to meet other Python developers in Mumbai:

  1. Navi Mumbai Python Programming Meetup
  2. Mumbai Technology Meetup
  3. Mumbai Python Meetup
  4. Mumbai Open Source Python and Data Science Meetup

The responsibilities of a Python developer include writing code for creating applications and for server side, implementing high-performance applications by writing logic for processing data and computation. They are also responsible for implementing security measures in order to protect the data.

Learn Python Programming in Mumbai, India

Following are some of the main reasons why Python Programming should be learned and used:

  • Popularity and higher salaries: Python can be used to cater to different development needs and has established itself as the most popular programming language. Python is also one of the highest-paying programming languages in India. 
  • Extensible and portable: These two properties of the Python programming language make it very flexible and allows a developer to work on different platforms involving cross languages operations. Python is also supported by some of the major and popular platforms in the industry including Linux, Macintosh, PlayStation and Solaris and others.
  • Easy and Simple to learn: Python is a simple and easy programming language that can be learnt easily without much effort. Its syntax has great resemblance with English language and is very powerful. Following contributors make the Python language simple and flexible:
    • Interpreted
    • High level
    • Large and active community of developers
    • Free and open source
  • Web Development: Python gives its developers many frameworks and platforms to enable them to develop a wide variety of websites. Since Python is used to build the framework of most of the websites, Python code runs faster and shows more stability in working.
  • Testing Framework: Python gives its users a great and flexible platform to validate products or ideas. It consists of a number of built in testing networks, that include different frameworks to test the fastest workflows as well as debugging. 
  • Computer Graphics: Python can be used and associated with a wide variety of online as well as offline projects. With the help of ‘Tkinter’ library in Python, the developers can easily create applications with an easy and fast method and can also develop a game with the ‘pygame’ module.
  • Scripting and Automation: During Scripting,
    • The codes in Python are executable and are written in the form of scripts.
    • The machine can read and interpret these scripts
    • Checking for errors is done during Runtime

If you are a beginner, just starting your Python journey and are interested in creating your first Python program then just follow these steps:

  • Step 1: Be sure that Python is installed on the system and you can check the same by using the following command:

Python --version

  • Step 2: Use notepad or any other suitable text editor installed on your system and write the following code in it:

print “Good Morning”

  • Step 3: Save the file as <filename>.py, for example the above file can be saved as Good.py. The .py extension tells the Python interpreter to understand it as a Python file.
  • 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:

Good.pyA

Output: Good Morning

A program on Python 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 file: To run a Python program stored as a Python script in a file, use the following given steps:
    • Write your script in a separate file
    • Save the file with a ‘.py’ extension, so that the system understands that the file is a Python program.
    • Start the terminal on your system.
    • Search 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.

Python can be run basically in two ways on any OS for that matter:

  1. Run commands on Python REPL (interpreter)
  2. Run a Python program file which contains the commands

In both the ways, Python should have been installed on your operating system and that can be checked by typing the following command to let you know the version of Python currently installed:

Python –version

On Mac OS X, IDLE (Integrated development environment) that comes along with the installation of Python on the system is the best and the most efficient way to run Python.

  • The Python scripts can be run from the Finder or the Terminal window command line.
  • Several standard Unix command line editors like emacs and vim are already pre-installed into the Mac OS X.  
  • If you wish to run the Python script from the Terminal window, make sure that /usr/local/bin is in the shell search path.
  • If you wish to run the Python script from the Finder, the following two options are available and used:
    • Drag it to the PythonLauncher with the help of mouse
  • Make PythonLauncher as the default application, to open a script through the Finder. The Option Dragging option is one of the many options that PythonLauncher allows its users to select from.  

Python Applications

Python is a general-purpose programming language and offers various and multiple uses to the computer world. Python is used extensively for the following applications:

  • Web application development
  • Academics
  • GUI-based applications
  • Business and enterprise applications

    • Web application development: Python provides frameworks such as - Django, Flask, Bottle, and Pyramid, which in turn help the programmers with the communication and interaction between different interfaces or protocols and content management as well to go along with more useful features.
    • Academics: Python is generally and extensively used for projects related to research and academics. Due to the number of useful libraries it offers such as - NumPy, Pandas, matplotlib, SciPy, and scikit-learn, it is popular among professionals in Data science and Machine learning.
    • GUI-based applications: Python consists of Tkinter library which is a GUI library along with numerous other GUI libraries to help create desktop applications with smooth user-friendly interfaces.
    • Business and enterprise applications: Due to its various user-friendly features like readability, extensibility, scalability and most importantly the number of libraries provided, Python can be used to build ERP and e-commerce applications as well. The two most popular libraries are Odoo and Tryton. 

Many big and successful companies and businesses in Mumbai, India use Python in different ways. These are the top 4 companies which use Python:

  1. Neosoft Technologies Pvt. Ltd
  2. DNEG
  3. Accion Labs
  4. GCE Solutions

Python Setup

Python can be installed in your system in many ways, depending upon the operating system installed on the system. You can get step by step guidance to install Python on Windows as well as Mac OS X. In case Python is already installed on your system, you can easily start developing and running Python scripts of your own.

The latest version of Python 3 is Python 3.6, which is available to all and is a stable and tested version. Python 3.6 version can be installed on the system with the help of Anaconda Python package. The latest version can be installed on the system using the following procedure:

  •  Click the following link and visit the Anaconda home page:
  •   Go to menu, select and click on the Anaconda tab and then proceed to download page, click the Download tab. 
  •  Once the download page is open, choose the download version that suits you and is compatible with the operating system viz. Linux, OSX or Windows on the system.
    • Choose the Python 3.6 option
    • Proceed and click to choose the Graphical Installer
  •  The above steps will initiate the installation process of the Anaconda Package on your system.
  •  Install Anaconda package.
  • After the Anaconda Package is downloaded on the system, Anaconda can be installed using the package.
  • Before you go ahead with the installation process, please make sure to have proper administrative authority that is required to make changes and install the software on your system.
    • Go ahead by clicking on the downloaded Anaconda file.
    • This will lead you to the Anaconda installation wizard and allow you to go through a quick and smooth installation of the Anaconda package.
    • The Anaconda package will not take more than 1 GB of disk space on your hard drive.
    • The entire process will be finished in no more than 10 minutes.
  •  Initialize and update Anaconda
    • After the installation of Anaconda Python package on the system, it is advisable to check whether the Anaconda Python environment installed in your system is the latest and up to date.
    • The Anaconda Python package contains a full suite of Graphical Tools, known as Anaconda Navigator, which can be launched with the help of application launcher.
    • Choose the Conda option in the Application Launcher window for this purpose as it simple and fast.
    • Open a command line window and confirm by typing out the following command to check and verify the correctness of installation of conda in your environment:
      • Conda -V
    • Next, by typing out the following command in the command line, confirm if Python is correctly installed in your system:
      • Python -V
    •  If the system does not show up an error, it means that the installation of  Conda was successful and there is no problem in using it.
    • Check and confirm by typing out the following command in the command line that the Conda version that you are using is up to date:
      • Conda update conda
      • Conda update anaconda

Installing and using Python on Mac OS X is no different than running it on any other device using Unix platform. But while installing in a Mac OS X, you need to focus on some additional features such as the Package Manager and the IDE.

  • Python 2.7 is generally pre installed in Mac OS X.
  • In case a newer version of Python needs to be installed, visit the Python Website   (https://www.Python.org) and simply download the latest version.
  • After installing Python on Mac OS X, you will be having the following:
    • A framework, viz. /Library/Frameworks/Python.framework, that contains the Python libraries and the location is automatically added to the shell path by the installer itself and there is nothing to do manually. To uninstall MacPython from the system, simply remove these from your system and you will be done.
    • A MacPython 2.7 folder will be made inside the Applications folder and a development environment which is the part of the standard Python distributions, will be visible as IDLE, inside the folder.
  • The build of Python as provided by Apple is installed in the /usr/bin/Python and /System/Library/Frameworks/Python.framework and should not be modified or deleted as they are both under the control of Apple and are made use of either Apple or by third party software.
  • A help menu is also included in the IDLE that enables the developer to easily access the Python documentation, which contains tutorials to FAQs and many more, in order to make the process of using Python easier for the developer.

Ubuntu LTS normally comes with pre installed Python 2.7 and Python 3.5. However, sometimes there may be a chance that Ubuntu may not have a Python. Follow the below steps using the apt-get package manager to install it.

  • Update the apt-get package by using the following command and entering the password when prompted: $ sudo apt-get update
  • Use and enter the following command to install Python 3.6 and enter the password when prompted: $ sudo apt-get install Python3.6
  • Run Python 3.6 by using the following command: $ Python3

Python 3 interpreter will be launched by using above command.

Note: The two most crucial third-party Python packages, setup tools and pip, are most likely to be installed also.

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Frequently Asked Questions on Python Certification Course

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 Mumbai

Famously dubbed ?the city that never sleeps?, Mumbai scores high among India?s most popular metropolitan areas. With the most prolific film industry in the world, this city has a vibrant and glamorous city life and is a thriving cultural centre, with daily performances in music, dance and drama. Mumbai is a teeming hub of trade and commerce in India. Some of the nation?s most important financial institutions such as Reserve Bank of India, Bombay Stock Exchange, National Stock Exchange are located here. Corporate offices of many national and global companies including Fortune 500 companies, and many foreign banks find their home in Mumbai. The city has thriving markets, business houses and is a melting pot of many different communities reflecting a cosmopolitan lifestyle. Professionals who wish to thrive in their career would find that they can do well here, with certifications such as PRINCE2, PMP, PMI-ACP, CSM, CEH and others. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.