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Python Certification Training in Bangalore, 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

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?

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

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?

  • 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

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.  

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 high-level, general-purpose and object-oriented, making it one of the most used programming languages. It is known for its code readability, which helps in deriving easy inference. For the same reason, it is one of the most cost-efficient programs. Apart from being object-oriented, Python is suitable for procedural and functional programming. 

Python was first conceptualised by mathematician Guido Van Rossum. A member of the National Research Institute of Mathematics and Computer Science, he came up with the idea in the late 1980s. While working as an implementer of the ABC programming language at the CWI, he started working on the development of a scripting language that had a syntax resembling the ABC language. He finally introduced the initial version of the programming language in the year 1991. 

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

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

  1. Python is an official language at Google. Google regularly posts the latest updates and guidelines.
  2. Python is a general-purpose programming language, which makes it particularly helpful for research and academics.
  3. The versatility and efficiency of Python is another reason why it is favoured. It allows maximum output with a minimized length of code due to its usage of Regular expressions.
  4. It is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces.
  5. Python's community is vast and has proven to be very, very useful for beginners.

Below are some of the top reasons to learn Python:  

  • Ease of learning: It has simple easy-to-use syntax, which makes it easily comprehensible for beginners.  
  • General-purpose: Since Python is a general-purpose language, it can be used in a wide range of domains and technical fields. You can use it for cloud computing, data science or even web development.
  • Big community: Due to its big global community, the packages available are numerous and stable as well with updates being provided on a regular basis. 
  • Flexibility: Python is very flexible as it is dynamically typed and supports diverse paradigms, including functional, imperative as well as procedural programming.

 

Follow the steps to get started with Python:  

  1. Understand why Python: First of all, understand why you need to use or learn Python in the first place. This will help you to stay motivated throughout the entire process of learning.
  2. Install Python: After having figured out which version of Python is likely to support your purpose, you need to download it. Python can be installed either from its official website or from the Anaconda package.
  3. Use IDE: IDEs debug your code and help you understand your errors and learn from them.
  4. Learn the basics: You can use online videos, courses or even blogs to get yourself started with the technical aspects of Python such as variables, functions, lists, tuples etc.
  5. Implement: Once you've completed theoretical knowledge, it's time to work on projects. Make projects with peers, or even complete assignments from online courses.

Here are a few topics that you must understand to learn Python fast:  

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

import <library> or from <library> import <function> keyword.   Note: Search for above topics online to learn Python for free.

Python Certification in Bangalore, India

No, Python is not difficult to learn. In-built functions and libraries of Python make it easier for users to start working on web and software development. The syntax used by Python has resemblance with the English language. Hence, it is readable and easy to work with.

Yes, Python is one of the easiest languages to learn for beginners. Some of the reasons that make it so are:  

  • The simple to understand data structure makes it easier for beginners to start working on codes.
  • The built-in library and the wide range functions help beginners by reducing time, increasing efficiency and reducing programme complexity.
  • It has an elegant syntax that is almost like the English language, which helps beginners to utilize this programming language.
  • Python has a gradual learning curve, as opposed to other programming languages where the learning curve can be quite steep.
  • It has an abundance of documentation, making it easier for a beginner to get help if he/she is stuck somewhere while coding.
  • The Python community of developers is very vast and helpful.

Learned programmers will take around 1 month to master Python largely because they are already familiar with the basics. Newcomers will need around 3 months to learn Python, if they spend 4 hours/day. The following is a list of topics which are generally the most time-consuming. Going through them would be ideal for beginners.  

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

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

  • Complete Python Bootcamp: Go from zero to hero in Python 3: [24 hours] This course, offered by Udemy is designed specifically for beginners who want to jumpstart their Python career. It teaches how to create something as simple as classes to as complex as decorators.
  • KnowledgeHut: This Python certification program from KnowledgeHut will help you learn Python Programming core concepts-control flow, operators, functions, syntax & indentations. It also includes real-world projects and case studies to get extensive hands-on experience.
  • Google's Python Class: The recent popularity of Python has been the main reason for Google to launch its Python course. From coding to lecture materials and advanced Python libraries including HTTP, Google aims to help advanced and beginner learners alike.
  • Full Stack Python: Best Python videos: This site hosts a collection of video resources ranging from basics to advanced level of tutorials. It is recommended for both beginners as well as experts to visit and learn from the resources offered by this site.

The average salary for a Python Developer is Rs 6,66,319 per year in Bengaluru.  

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

How to Learn Python in Bangalore, India

Follow these steps to learn Python the right way:    

  • Figure out what motivates you: Even before you start learning Python, it is important that you figure out why you want to learn Python. This will help you stay motivated on your path to learning Python. 
  • Learn the basic syntax: You need to learn the basic syntax to be able to apply your knowledge of Python to the area you choose. Three of the most common areas include:   
    • Syntax for Websites
    • Syntax for Mobile Applications
    • Syntax for Machine Learning Applications
  • Develop Structured projects: Once you’ve comfortably learned Python syntax, you can start developing your own projects. This step is important to understand if you are able to apply basic Python knowledge effectively.

We have compiled a list of courses which will help you learn Python 2 in the best way possible:  

  • Python 2 Course: This is a self-study course which encourages students to explore the tutorial by themselves and learn by implementing. The tutorials are meant for beginners, however, both experts and intermediate level learners can also check out the courses.  
  • Python 2.7 Tutorial: This course is based on mybringback youtube channel’s Python content. Aimed at absolute beginners, this course also provides learning material to go with the tutorial videos.  
  • Learn Python 2: This 22-part course teaches Python 2 from scratch. There are no prerequisites required. It is a mix of two famous Python courses- Django girl’s Python tutorial and Google’s Python class. It’s a free course and can be completed in about 3-4 weeks. 

Below are some benefits of learning Python over other programming languages:  

  • Can be used for general purpose tasks. Hence, you can use it for developing both desktop and web applications as well as complex scientific and numeric applications. 
  • Due to its high readability and ease of learning, Python is highly recommended for both research as well as for someone new to the programming world. 
  • Due to its huge global community, it has numerous packages and from time to time its stable updates are released. 
  • Frameworks like Ruby and Django that are generally used to complete the development process are supported by Python.

Consider these resources to learn Python:  

  • Learn Python 2 - Codecademy: [25 hours] This course covers both, Python programming language as well as the fundamentals of programming language.  
  • Real Python: Starting with the basics of programming language, this course explores web development and lets learners work with web development frameworks including Django and web2py among others. 
  • Learn Python, it's cake - Udemy: [7 hours] If you are a beginner and want to jumpstart your Python career then this is the best free course offered.  
  • Python for entrepreneurs: [19 hours] It covers basic language scripting, syntax and modules and is aimed at intermediate professionals. The course runs for 30 hours approximately.

 

If you have no experience in programming and want to learn Python, you can try the following 5 steps:  

  • Find motivation: Python is a huge field and it is easy to lose interest if you don’t clearly set an aim. Find out what motivates you. It doesn’t have to be a project, it can be a whole area like:
    • Data science
    • Machine learning
    • Web development
    • Game programming
  • Learning basics: It is important that you consider learning the syntax of the language first and then move on to the more complex aspects of the language. 
  • Implementation: After having learnt the basics, you should move on to implementing your knowledge. Simple projects that you can immediately start working on include developing simple automation scripts. 
  • Social coding: One of the biggest benefits of Python is that it is open-source. So, once you think you are able enough, you should contribute through social coding and collaborate with others.  
  • Competitions: Competitions encourage you to think out-of-the-box for a simple problem and are considered an important step in the learning process. 

Python is extensively used in the field of data science. Below are the steps to get you started for data science with Python:  

  • Step 1: The First step starts with setting up Python on your system. Along with that you also need to install Anaconda, which will help set up an appropriate environment for your system to use the basic programming tools.
  • Step 2: Learn about the basics of Python including the functions, tuples, lists, and also about the various libraries. 
  • Step 3: Learn about data cleaning. Cleaning up input data is a necessary step in Data Science. Text Data is a form of Input Data that will help you learn the Regular expressions for Python.
  • Step 4: Get familiar with the various data science libraries including NumPy, matplotlib and others. You should be able to use these libraries for your data science projects.
  • Step 5: An important part of the job for a data scientist is to visualize the data given. Python’s dedicated library matplotlib is used for this purpose.
  • Step 6: Start working on your Machine Learning skills. Python has various libraries to help you with developing Machine Learning Models.
  • Step 7: The seventh and the most important step for you is to continuously practice. As a data scientist, you continually need to develop and work on your skills.

Python Developer Salary in Bangalore, India

The average salary of a Python developer in Bangalore is Rs. 6,66,319  and while in Hyderabad, it is Rs. 6,77,386.  

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

The yearly remuneration of a Python developer in Bangalore is Rs. 6,66,319 as compared to Rs. 5,91,473 in Mumbai. 

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

The annual income of a Python Developer in Bangalore is Rs. 6,66,319 as opposed to Rs. 4,59,658 earned by a Python developer in Chennai.  

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

Python developers are quite in demand right now. The language has found applications in several fields including Data Science, Machine Learning, etc. There are leading many companies like EY, UrbanPiper, GlassCube, Panorbit Services LLP, TripGuru, TARGET, Fueb Labs automations, Digitivy Software and Services India Pvt. Ltd, Progress, eBest IOT, myGate, etc. that are looking for Python developers in Karnataka.

Python Developer is one of the most in-demand jobs right now. Since Bangalore is a hub for IT companies, there will be a lot of opportunities. There are some major companies that are willing to pay handsome salaries to qualified and experienced Python developers.

Bangalore is one of the best cities in India to work in the IT sector. Be it a small company or leading MNC, most of these companies have their headquarters located in Bangalore. From startups to established corporations, there are several companies that are hiring freshers as well as experienced developers. Also, this allows for tremendous growth in the field.

The companies hiring Python Developers in Bangalore are Alucor Solutions LLP, Micro Focus, Akamai, Learnof.com, EdgeVarsity, McBird Technologies Pvt. Ltd, Infinicue Solutions Pvt. Ltd, Feasible Jobs, Amadeus, Success4, Oracle, Jobsforher, IO Tahoe, ITC Infotech India Ltd, Paytm, Nescode Technologies, Entropik Technologies, Supplylanes, etc. 

Python Conferences in Bangalore, India

S.NoConference NameDateVenue
1.Practical Data Science Workshop
04-08-19
Opencube Labs, Bhuvaneswari Nagar, Dasarahalli, Bengaluru
2.Practical Python Programming Workshop
10-08-19
Opencube Labs, Bhuvaneswari Nagar, Dasarahalli, Bengaluru
3.Machine Learning & Artificial Intelligence in AWS
17-08-19 and 18-08-19
Cida, 1st A Cross Road, Srinivasa Nagar, Hanumanthnagar, Banashankari Stage I, Banashankari, Bengaluru
4.Machine Learning Workshop
07-09-19 and 08-09-19
91springboard 7th Block, Koramangala, Bengaluru
5.Pwned 0x13
04-10-19 and 05-10-19
Bengaluru, India (exact Venue To Be Decided)

1. Practical Data Science Workshop

  • About the Conference: This is an intermediate level workshop to get participants working on their own projects.
  • Event Date: 04-08-19
  • Venue: Opencube Labs, Bhuvaneswari Nagar, Dasarahalli, Bengaluru
  • Days of Program: 1
  • Timings: 10 am to 2 pm
  • Registration cost: Rs. 799
  • Purpose: To impart the required knowledge and hands-on training of Data Science tools with Python. Brushing up your programming, statistics and business skills.
  • Major sponsors: Opencube Labs

2. Practical Python Programming Workshop

  • About the Conference: The conference will focus on the potential of Python Programming.
  • Event Date: 10-08-19
  • Venue: Opencube Labs, Bhuvaneswari Nagar, Dasarahalli, Bengaluru
  • Days of Program: 1
  • Timings: 10 am to 2 pm
  • Registration cost: Rs. 699
  • Purpose: Get a comprehensive knowledge of the Python programming knowledge with a focus on practical application and learn to apply it to your own projects.
  • Major sponsors: Opencube Labs

3. Machine Learning & Artificial Intelligence in AWS

4. Machine Learning Workshop

  • About the Conference: This is a 2-day event covering the fundamentals of Machine Learning and the role of Python Programming.
  • Event Date: 07-09-19 and 08-09-19
  • Venue: 91springboard 7th Block, Koramangala, Bengaluru
  • Days of Program: 2
  • Timings: 9:30 am onwards
  • Registration cost: Rs. 1500 (+3000)
  • Purpose: Learn data processing, linear regression along with the basics and implementation of Python language to build your own projects.
  • Major sponsors: Hyperverge

 5. Pwned 0x13

  • About the Conference: The event will focus on cybercrime and security and the role data science plays in it.
  • Event Date: 04-10-19 and 05-10-19
  • Venue: Bengaluru, India 
  • Days of Program: 2
  • Timings: 9:30 am onwards
  • Registration cost: 4999 onwards
  • Purpose: The event will have talks, demos and information on cyber safety. The training will include using Python for security purposes. 
  • Major sponsors: Cybersafe Bangalore
S.NoConference NameDate
Venue
1.2 Days Python Workshop At Bengaluru 
22-09-18 and 23-09-18
Disciples India Group, 3440, Service Rd, Govindaraja Nagar Ward, Attiguppe, Bengaluru
2.BangPypers Talks
October 2018
G0-JEK, Domlur, Bengaluru

1. 2 Days Python Workshop At Bengaluru

  • About the Conference: The workshop focused on Python programming and its applications. 
  • Event Date: 22-09-18 and 23-09-18
  • Venue: Disciples India Group, 3440, Service Rd, Govindaraja Nagar Ward, Attiguppe, Bengaluru
  • Days of Program: 2
  • Timings: 10 am onwards
  • Registration cost: Rs. 1000
  • Purpose: The aim of the event was to cover everything related to the programming language – right from the basics to the real-world application.
  • Major sponsors: Azure Skynet

2. BangPypers Talks

  • About the Conference: The event’s theme was – Data Science and related fields. With 3 speakers and 40 minute long sessions, this talk was about the developments in Data Science and the role of Python in it.
  • Event Date: October 2018
  • Venue: G0-JEK, Domlur, Bengaluru
  • Days of Program: 1
  • Major sponsors: BangPypers

Python Developer Jobs in Bangalore, India

The average salary for a Python Developer is Rs 6,66,319 per year in Bengaluru.  

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

With more than 10000 startups, Bangalore is the IT Capital of India and is the cradle of India's startup revolution. Also known as ‘India’s Silicon Valley’, Bangalore is home to more than 6000 Tech startups, including Swiggy, Flipkart, Portea, Medlife, etc. As Python is general-purpose and comfortable programming, most companies are looking for talented Python developers in Bangalore. They are willing to pay well and offer other perks to attract qualified and trained developers. So, the scope of Python developers in Bangalore is quite high.

The companies hiring Python developers in Bangalore include the following:

  • EY
  • UrbanPiper
  • GlassCube
  • Panorbit Services LLP
  • TripGuru

Learn Python Programming in Bangalore, India

Below are some of the reasons to learn Python Programming in 2019:  

  • Popularity and potential for high salaries: Silicon Valley of India, Bangalore is home to around to 6433 Tech startups in Bangalore and some of the leading companies, such as Infosys, TCS, Wipro, Cognizant, Flipkart, etc. Since Python is both powerful and flexible, it's no surprise that all these companies are competing to hire skilled Python developers. So, the demand for Python developers is indeed high in Bangalore. The average salary for a Python Developer is Rs 6,66,319 per year in Bengaluru, Karnataka, which is 36% above the national average. 
  • Extensible and portable: Python as a language is flexible, which allows users and professionals in the industry to use it in multiple language operations. Additionally, Python is compatible with most of the leading platforms like Mac, Windows, Solaris and others. 
  • Simple and Easy to learn: Python is a programming language that is very simple and easy to learn because of the following features:
    • Interpreted 
    • High level
    • Large and active community of developers
    • Free and open source
  • Web Development: The development of Websites is easier with Python as it provides a range of frameworks. 
  • Testing Framework: Python is a great platform for established companies to validate products or ideas. The testing networks in Python work fine for debugging as well.

Follow these steps to create your first program in Python:  

  • Step 1: Make sure Python is installed. You can check the same by using the following command:

Python --version  

  • Step 2: Open notepad or any other text editor and write the following code:

print “Hello world!”  

  • Step 3: Save the file as <filename>.py, for example, use hello.py to save the file. The .py extension tells the Python interpreter that this is a Python file and to treat it as such. 
  • Step 4: Open your command prompt or terminal, navigate to the directory holding your .py file and run the following command.

hello.py Output: Hello world!

A Python program can be run in the following 2 ways:  

  • Running a Python program in a Python shell
    • Open IDLE, the Python GUI file
    • Enter your Python Script and hit Enter
    • Your program will start running
  • Running a Python program stored in a file

  In order to run a Python program stored as a Python script in a file, follow the given steps:  

  • In an independent file, write a Python script 
  • Save the file with a ‘.py’ extension.
  • Initialise the terminal on your system.
  • Navigate to the directory where you have stored your file with the .py extension by typing the following command in the terminal:
    • Cd directoryName.
    • Now press enter
  • Type the command
    • Chmod a+x filename.py to inform your system that the said file is an executable program.
  • Type ./filename.py to run your program.

You can choose either of the two following ways to run a Python Script on Windows:  

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

  Python is required in both cases. You can check that by typing the following command: Python --version  

  • You can simply type Python to enter its REPL shell if Python executable binary is in your classpath. 
  • Alternatively, if you want to run a file and Python executable is in your windows classpath then all you need to do is open a command prompt and enter the location of the file. 
    • For example:

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

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

Running Python scripts in Mac OS X is easier in the IDLE integrated development that comes along with the installation of Python on the system.  

  • Firstly, you need to create a script in a document editor. This will allow you to run the Python scripts either from Finder or from Terminal Window. 
  • Several standard Unix command line editors are already pre-installed into the Mac OS X. Some of these include emacs and vim.  
  • You need to ensure that /usr/local/bin is in the shell search path, if you wish to run the Python script from the Terminal window. 
  • The following two options are available if you want to run the Python script from the Finder: 
    • Drag it to the PythonLauncher
    • Choose PythonLauncher as the default application to open a script through the Finder.  
  • In case you wish to run your Python script with a GUI, make use of Python instead of Python in order to initialize these scripts.

Python Applications

Some of the applications where Python is extensively used are:

  1. Web application development: Python is widely used in web application development. Python provides frameworks such as – Django and Pyramid that are known for building complex data-driven websites.
  2. Academics: Python is extensively used for academic projects and research purposes due to the number of useful libraries. Python developers are also in huge demand for a wide range of jobs, including data science, machine learning, databases, data analysis, etc.
  3. GUI-based applications: Python provides Tkinter library which is a GUI library along with numerous other GUI libraries which help create desktop applications with smooth interfaces.
  4. Development of Language: Python has inspired the development of various languages due to its architecture and design. These include Boo, Swift, Cobra and others.

Some of the biggest companies in Bangalore make use of Python in different ways:  

  1. Flipkart
  2. KPMG
  3. ITC Infotech
  4. IBM

Python Setup

Python is a programming language that isn’t dependent on the platform. Check the Operating System that you are using and the version of Python that would be compatible with it. Go through the instructions for installing Python for that particular operating system. If your Operating System already has Python installed, you are all set to develop your own scripts.

  • Visit the site Anaconda site: https://www.anaconda.com/distribution/
  • Select the operating system, Windows in this case.
  • Click on the Download tab below Python 3.7 version.
  • Click on the Graphical Installer option
  • The download should happen automatically and once downloaded, you need to install the Anaconda package.
  • Installing Anaconda
    • First, make sure that you have administrator privileges for the installation of Anaconda.
    • Click on Install Anaconda
    • This will open the Anaconda installation wizard, which will help you quickly install the Anaconda package. 
    • The whole process of installation should not take more than 10 minutes.
  • Initializing and updating Anaconda
    • After Anaconda has been installed, you need to make sure that the version is up to date.
    • The Graphical Tools are included in the Anaconda Package as Anaconda Navigator. The Navigator is available from the application launcher.
    • The Application Launcher Window will let you choose the Conda option.
    • You need to check if the Conda installed is the same environment; you can use the command, Conda-V to check the version.
    • To check if Python has been correctly installed, you need to use the command, Python-V
    • If it does not show any error, then it shows that Conda has been installed successfully.
    • You should confirm the version of Conda and check if it is up-to-date, through the command lines
      • Conda update conda
      • Conda update anaconda

Python runs on Mac OS X is very similar to running it on any other Unix platform. The only difference is that there are a couple of additional features such as the Package Manager and the IDE, that need to be given attention to in a Mac OS X.  

  • Mac OS X usually comes pre-installed with Python 2.7.
  • If you want to install the latest version of Python in your Mac OS X platform, you can directly do so from the Official Python Website: https://www.Python.org/downloads/mac-osx/
  • On the installation of Python on Mac OS X, you get the following:
    • A framework, viz. /Library/Frameworks/Python.framework, that includes the Python libraries and executable.  
    • A MacPython 2.7 folder that is made in your Applications folder. Inside this folder, you will find the IDLE.
  • The build of Python that is provided by Apple is installed in the /usr/bin/Python and /System/Library/Frameworks/Python.framework. 

It is important to remember that the user must not modify or delete any of these as they are both controlled by Apple and are made use of either Apple or by third party software.

Python 2.7 and Python 3.5 come pre-installed on Ubuntu LTS. If by any chance your Ubuntu does not have a Python and you want to install say Python 3.6 then follow the below steps to get it.   

  • Open the terminal and update the apt-get package using the following command:

  $ sudo apt-get update  

  • Enter the following command to install Python 3.6:

  $ sudo apt-get install Python3.6  

  • Run Python 3.6 by using the following command:

  $ Python3

reviews on our popular courses

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Everything was well organized. I would like to refer to some of their courses to my peers as well. The customer support was very interactive. As a small suggestion to the trainer, it will be better if we have discussions in the end like Q&A sessions.

Steffen Grigoletto

Senior Database Administrator
Attended PMP® Certification workshop in May 2018
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My special thanks to the trainer for his dedication, learned many things from him. I would also thank for the support team for their patience. It is well-organised, great work Knowledgehut team!

Mirelle Takata

Network Systems Administrator
Attended Certified ScrumMaster®(CSM) workshop in May 2018
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I had enrolled for the course last week. I liked the way KnowledgeHut framed the course structure. The trainer was really helpful and completed the syllabus on time and also provided live examples which helped me to remember the concepts.

York Bollani

Computer Systems Analyst.
Attended Agile and Scrum workshop in May 2018
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The instructor was very knowledgeable, the course was structured very well. I would like to sincerely thank the customer support team for extending their support at every step. They were always ready to help and supported throughout the process.

Astrid Corduas

Telecommunications Specialist
Attended Agile and Scrum workshop in May 2018
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The course materials were designed very well with all the instructions. The training session gave me a lot of exposure and various opportunities and helped me in growing my career.

Kayne Stewart slavsky

Project Manager
Attended PMP® Certification workshop in May 2018
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KnowledgeHut has all the excellent instructors. The training session gave me a lot of exposure and various opportunities and helped me in growing my career. Trainer really was helpful and completed the syllabus covering each and every concepts with examples on time.

Felicio Kettenring

Computer Systems Analyst.
Attended PMP® Certification workshop in May 2018
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The hands-on sessions helped us understand the concepts thoroughly. Thanks to Knowledgehut. I really liked the way the trainer explained the concepts. He is very patient.

Anabel Bavaro

Senior Engineer
Attended Certified ScrumMaster®(CSM) workshop in May 2018
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The trainer took a practical session which is supporting me in my daily work. I learned many things in that session with live examples.  The study materials are relevant and easy to understand and have been a really good support. I also liked the way the customer support team addressed every issue.

Marta Fitts

Network Engineer
Attended PMP® Certification workshop in May 2018

Faq

The 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 Bangalore

With a city life that is vibrant and fresh, Bangalore represents the new modern face of India. At the core of India?s booming IT industry, Bangalore is home to the headquarters of many global IT giants including Infosys and Wipro- so much so that it has earned itself the moniker of India?s Silicon Valley. The city has a rich history and has been ruled by a succession of South Indian dynasties, many of whose palaces and forts now nestle next to Bangalore?s starkly modern glass towers. Many would say Bangalore?s old world charm has now given way to haphazard unplanned development, congested city roads and rising pollution. But this does not take away from the mad rush for jobs in Bangalore?s progressive professional scene. All this makes Bangalore an ideal place to study and work in for those who are interested in IT. Professionals who wish to thrive in their career would find that they can do well here, with certifications such as Big Data and Hadoop 2.0 Developer, ITIL Foundation, PMP, Python 101, TOGAF 9.1, CEH and others. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.