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Python Certification Training in Delhi, India

Learn Python Programming Language from Basics to Advanced

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

Python Training Course Description

Python Certification will assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop.  

Python certification is suitable for beginners, intermediate learners as well as Python experts. Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience. 

Over the course duration, interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.

Do you know what exactly is Python?

So what exactly is Python? It’s not as complicated as you think!

Python is a high-level performing, object-oriented, multi-purpose programming language. It has an integrated dynamic semantics which is mostly used for web development as well as app development. Python offers dynamic typing and dynamic binding, which makes it appealing in the field of Rapid Application Development. Also, Python supports packages and modules, encouraging code reuse and program modularity.

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

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

The course curriculum has been designed in such a manner that you’ll receive the most advanced knowledge and skills. You can become an expert in Python by grabbing the opportunity to learn hands-on coding with guidance and reviews from our mentors. You will be learning from the best in the field as all our trainers and mentors are experienced professionals.

If you have a basic knowledge of programming concepts and object-oriented concepts and wish to make a career out of Python as a Software Engineer, Python Developer, Data Scientist, Data Analyst, Research Analyst or Software Developer, then choose the best Python certification course and make your dream career come true!

Python Tutorial Chapters

Chapter No

Python Tutorial Chapters

1

Python - Introduction

Get a brief idea of what this Python tutorial has to offer. Know about the main features of Python along with the history of its development.  Learn some important applications of Python, including data science, machine learning, image processing etc, along with who uses Python. 

2

Python - Getting Started

Gain a brief idea about Python Online. Learn how to install Python on your Windows and Linux machine with the help of the installation instructions provided in this module. Also, get acquainted with alternative Python distributions such as Anaconda and Canopy.

3

Python - Basic Syntax

Gain an understanding of Keywords, Identifiers and Statements to learn about the basic syntax of Python. Learn the rules of naming identifiers, Intends and Comments with suitable examples. 

4

Python - Variables

Acquire knowledge on the data type systems in Python, viz. Standard or Built-In data types, which include Numbers, Sequences and Mappings. Learn about Variables, Dynamic Typing and Mutability of Objects in this module. Moreover, gain an understanding of the input/output functions input() and print() along with appropriate examples.

5

Python - Numbers

This module deals with the representation of numeric data types, viz. int, bool, float, complex. Learn about the Built-in Conversion Functions such as int(), float(), complex(); as well as the Built-in Mathematical Functions such as abs(), hex(), oct(), pow(), round() with simple examples. 

6

Python - Strings

Get a detailed look at the characteristics of Python’s string data type and the different escape sequences. Learn various useful methods of built-in String class – such as changing cases, finding and replacing within the string, etc. String formatting and format() function is explained with suitable examples. 

7

Python - List and Tuple

Learn about Python’s built-in container types, List and Tuple. Know the similarities and the differences between the two. Gain an understanding of the built-in functions that can be used along with List as well as Tuple. The Conversion functions list(), tuple() and str() are illustrated in this chapter.

8

Python - Dictionary

Definition of Dictionary along with its representation and examples of dictionary objects. Learn how to access and update values in the dictionary. Gain an understanding of the built-in functions and dictionary class methods. Learn about the Keys(), values() and items() methods with suitable examples.

9

Python - Sets

Know everything about Sets and set() function that you need to know with the help of suitable examples. Learn about the different methods by which the set object can be modified. 

This module also explains how various set operations like union, intersection are performed using respective methods in Set class.

10

Python - Operators

This module deals with operators in Python, that perform various operations on Python objects. Learn about the arithmetic and logical operations defined in Python. Moreover, get to know the use of set operators corresponding to methods in Set class. Get to know about the identity, membership and bitwise operators.

11

Python - Conditional Statements

Get to know the proper definition of program and programming. Acquire the knowledge of logical programming and learn how the statements are executed. Learn how to use the different conditional statements, viz. if, else and elif with appropriate examples.    

12

Python - Loops

Gain a basic understanding of loops through this module. This module describes the importance and usage of while loop, for loop as well as nested loop in Python with the help of examples. Python’s loop control keywords break and continue have been dealt with in detail in this module.

13

Python – Built-in Modules

Python library is bundled with a large number of modules, each containing a number of utility functions. In this module, frequently used functions from various modules are explained with examples. The sys module and statistics module has also been covered. 

14

Python - User Defined Functions

Learn how to define a new function as per requirements and how to call it. Different features of defining and passing arguments to a function are explained with suitable examples in this module. Learn how to make a function return value. Moreover, calling the function by reference is also explained.

15

Python – Functional Programming

This module will give you an overview of some important tools supporting functional programming paradigm. Learn about iterator and generator functions in this module. It also deals with list comprehension and related tools in details.  Learn how to use the map(), filter() and reduce() functions.

16

Python - Custom Modules

This chapter will help you learn how to build a module and import functions from it. Learn how to use the various attributes of these modules under diverse programming situations. Additionally, study how to build a module and import functions from it.  

17

Python - Packages

This module deals with packages, as well as how to construct a package and import functions from it. Furthermore, build a package and install it for system-wide use with the help of setup tools module. The process of publishing module on Python package index repository has also been discussed.

18

Python - Exceptions

This module discusses Exceptions and the numerous predefined Exception classes present in a Python library. Get to know the various exception types. Learn how to use try, except and finally keywords to understand Python’s exception handling mechanism. Define customized exception classes and raise their instances.

19

Python - FileIO

Get acquainted with the built-in File object of Python in this chapter. Various file opening modes like append and simultaneous read/write are explained with relevant examples. A section in this chapter deals with file related exception handling. Moreover, learn how to perform read/write operations on a binary file.

20

Python - CSV

Learn what are Comma Separated Values (CSV) format. Learn about its Reader and Writer classes as well as convenience functions along with suitable examples. 

The various functions discussed are writer(), writerow(), writerows(), reader(), DictWriter(), writeheader(), DictReader(). This module also discusses, in brief, the Dialect class. 

21

Python – Database Connectivity

This chapter introduces the concepts of a relational database, explaining the basic SQL queries for CRUD operations with the help of SQLite and MySQL database. Learn how Python programming can be used to perform SQL operations on the SQLite database.

Here, MySQL connectivity is explained by installing PyMySql module.

22

Python – Tkinter

Get a deeper insight into Tkinter. Learn how to form a basic window and put various widgets like button, label, entry etc. Get to know its layout management with place(), pack() and grid() methods. Learn about Event handling mechanism and how to draw different shapes using the Canvas widget.

23

Python - OOP

Understand the difference between a procedure-oriented approach towards programming from an object-oriented approach. Learn how to build a user-defined class and set up its objects.

Additionally, the concept of constructor, instance attributes and methods are explained along with Python’s built-in property() function using examples.

24

Python - Decorator

Understand what a Decorator is and learn how to define a decorator. Understand the built-in property() function and how to use it as a @property decorator. Moreover,  learn about the @classmethod and @staticmethod built-in decorators as well. 

25

Python - Inheritance

In this chapter, take a look at Python’s implementation of the principle of inheritance. Understand the Syntax of Inheritance. Other topics discussed in this chapter are Overriding, multiple inheritance and Protected attributes.    

26

Python - Magic Methods

This chapter will help you understand what Magic Methods are. In this chapter, magic methods used for object customization are discussed. They are __new__(), __repr__() and __str__(). Get to know about operator overloading and object customization. MyTime class has been used to demonstrate operator overloading.

27

Python - Regex

This chapter explains all the functions that are defined in the regex module of Python’s standard library. This chapter demonstrates searching for, matching, finding and compiling regex patterns. Towards the end of the chapter, typical use cases of regex such as matching domain names are explained.

28

Python - CGI

Important features of Python’s implementation of the CGI protocol has been discussed. It describes how Apache server is configured for running *.py files as a CGI script. Various attributes, methods of FieldStorage class have been used to demonstrate how data is sent from a web client and result is redirected from the server. 

29

Python – Send Mail

This chapter deals with the SMTP protocol with the help of the smtplib module.

A suitable example is used to show how we can use Gmail by configuring its SMTP server to send an email from a Python script.

30

Python - Object serialization

Gain an understanding of serialization and deserialization. In this chapter, understand and learn pickle protocols, which is Python’s own serialization format. Serialization functionality of marshal and shelve module is also explained. Finally, learn how Python objects are represented in JSON format with the help of the JSON module.

31

Python - Multithreading

In this chapter, understand the principles of concurrent threads in a program. The threading module defines functions to initialize, start run and terminate a thread. We shall also see how a thread can be paused and resumed. This chapter takes a look at the concept of thread synchronization.

32

Python - XML

This chapter covers the implementation of the ElementTree API model. With the help of a suitable example, understand and learn how Python objects can be serialized in XML format and reconstructed back. Moreover, learn how to parse, modify an XML file and the comparison between DOM and SAX APIs.

33

Python – Socket Module

This chapter takes a look at the functionality of the 'socket' module that provides access to the BSD socket interface, and focuses mainly on connection-oriented TCP sockets. Understand the various Server Socket methods and learn how to set up a socket server as well as a client application.

34

Python - Dataclasses

Data classes module is the latest addition to Python’s standard library. The @dataclass decorator helps in auto-generation of constructor and operator overloading methods in a class. The functions asdict(), astuple() and make_dataclass() have been discussed with respective examples in this chapter. 

Why Python Certification Course?

Python has been voted as the most wanted technology of the year 2018, according to the 2018 Developer Survey by StackOverflow. Also, it has been ranked as the seventh most popular programming language in the world amongst software developers.

With various resources available in the market that can teach you to code in Python version 3 without any experience of coding in Python version 2, it is necessary that you make the right choice of course for you. Python 3 being the latest version of Python, is also the future. And starting with the latest version of a programming language is a decision that you will never regret.

The Python Certification course provided by KnowledgeHut is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. It also includes 22 hours of hands-on practical sessions with Python along with three use cases.

The Python certification training will introduce you to the world of Python and enable you to learn Python from scratch. It will expose you to its architecture, design philosophy, basics of scripts, applications, and packages through hands-on practical sessions.

What you will learn in this Python Course

Python Course Prerequisites

We recommend:

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

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

Who should Attend this Python Training Course

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

KnowledgeHut Experience

Instructor-led Live Classroom

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

Curriculum Designed by Experts

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

Hands-on coding

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

Expert Mentorship

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

Advance from the Basics

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

Code Reviews by Professionals

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

Projects in this Python Certification Course

Jumbled Word

Build a small game to rearrange jumbled letters and create a word. A player is given a jumbled word, player will have to arrange the characters of the word and make a correct meaningful word.

Read More

Dice Rolling Simulator

Build a dice rolling simulator using Python, which will randomly select a number between 1 and 6. After selecting the number, it should print it and ask you if you would like to roll the dice again.

Read More

Tic-Tac-Toe

Create the classic Tic-Tac-Toe game (also called Noughts and Crosses) in Python using user defined functions, while loops etc. Player takes turns marking the spaces in a 3×3 grid.

Read More

Calculator

Calculators are handy and can be used to perform simple tasks using simple operations like addition, subtraction, multiplication and division. Create a calculator using operators in Python to add, subtract, multiply and divide.

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

Python Training Course Curriculum

Learning Objective:

Learn about the history of Python and its various uses. Learn to use interpreters and also learn about how Python scripts work on UNIX/Windows.

Topic Covered:

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

Hands-on:

Learn about interpreters and Python Script.

Learning Objective:

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

Topic Covered:

  • Python Editors and IDEs
  • Install Anaconda

Hands-on:

Install Anaconda - Python distribution

Learning Objective:

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

Topic Covered:

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

Hands-on:

Write Python code to implement string operations.

Learning Objective: 

Learn the various data structures that are used in Python.

Topic Covered:

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Hands-on:

Write Python Code to understand and implement Python Data Structures.

Learning Objective:

Learn all about loops and control statements in Python.

Topic Covered:

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

Hands-on: 

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

Learning Objective:

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

Topic Covered:

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

Hands-on:

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

Learning Objective: 

Learn to build modules and install packages.

Topic Covered:

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

Hands-on:

Write Python Code to create modules and execute them.

Learning Objective: 

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

Topic Covered:

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

Hands-on:

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

Learning Objective: 

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

Topic Covered:

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

Hands-on:

Write Python code to construct a class and define objects.

Learning Objective: 

Study Use Cases to explore Python

Topic Covered:

  • Use Case

Hands-on:

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

Python Certification Process

What is Python

Python is a programming language which contains dynamic semantics. It is a high level, interpreted, and object oriented language.

  • Its qualities like dynamic building and typing with the built-in data structures make Python a very popular language for Rapid Application Development. 
  • Python offers syntax that is easy to learn and understand. It emphasizes readability and easy inference, thereby also reducing the cost of the maintenance of the program. 
  • The extensive standard library, as well as the Python interpreter, are also some of the reasons why Python is highly preferred by Developers across applications.

Python was conceptualized by Guido van Rossum in the late 1980’s. He was a member of the National Research Institute of Mathematics and Computer Science. It was initially designed as a response to the ABC programming language. 

  • While working as an implementer of the ABC programming language at the CWI, Van Rossum worked on the development of a scripting language which had a syntax resembling the ABC language and also had access to the AMOEBA system calls, a distribution system that he was working on at the time. 
  • He started the development of the new programming language that he hoped would overcome the flaws of the ABC language and finally introduced the initial version of the programming language in the year 1991, naming the module system as Modula 3.

There is a story behind how Python got its name. Van Rossum was a huge fan of the comedy show ‘Monty Python’s Flying Circus’, a BBC comedy show that was a big hit in the 1970s. Van Rossum loved the show and was also looking for a name for his language that was unique, short and mysterious and therefore he named his language Python. 

Delhi, the capital of India, is also the home of several leading tech companies, such as Lenskart, Snapdeal, Zostel, Eattreat, etc. Most of these companies in Delhi prefer Python language because of its versatile features and fewer programming codes. 

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

  • Community: Python has a big open-source community which means that there are thousands of projects already present online which you can just pick up and integrate with your own project.
  • Corporate sponsor: Just like C# has Microsoft, PHP has Facebook, Python has Google. Google extensively relies on Python. It also has regularly updated Python tutorials and guides for newbies looking to take up Python as their programming language.
  • Academics: Python is heavily used for research purposes in fields like Data science and Machine learning.
  • Efficiency: Python is very efficient. You can develop a Python program and deploy it to any environment with little to no performance loss. It uses Regular expressions to minimize the length of the code and maximize its output.
  • Learning: Along with the numerous features it offers, Python is really easy to learn and understand given by its high readability. When compared to languages like Java, C# etc., Python has a shorter learning curve. 

When compared to other programming languages, Python is still in trend today due to the following reasons:

  • High demand: According to a study revealed by StackOverflow, Python was the most in-demand technology of 2018. Currently, there are around 4232 Python Jobs in Delhi NCR on Naukri.com.
  • Ease of learning: It is easy to understand even if you’re not a Python expert, which is not the case with most of the programming languages.
  • General-purpose: As Python can be used extensively for general purpose tasks, it has been used in software in different fields ranging from web development to cloud computing and research fields like machine learning and data science as well.
  • Big community: Due to its big global community, the packages available are numerous and stable as well with updates being provided on a regular basis.
  • Flexibility: Python is a highly flexible language evident from its numerous implementations with other programming languages. 

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

  • Understand why Python: First of all, it is important to understand why you are going to use or learn Python in the first place. This step will help create motivation for the whole learning process.
  • Install Python: After deciding which version of Python you will be needing for your purposes, install it either from the official website or the Anaconda package manager.
  • Use IDE: As a beginner, it is important to understand your errors and learn from them. IDEs will help debugging your code.
  • Learn basics: You can use online videos, courses or even blogs to get started with the technical aspects of Python such as variables, functions, lists, tuples etc.

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

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

import <library> or from <library> import <function> keyword.

All the above topics mentioned can be learned from online resources available for free as well.

Python Certification in Delhi, India

No, Python is a very easy, in fact, the easiest programming language to learn.

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

By popular vote, Python is one of the easiest languages to learn for beginners. Some of the reasons for the same:

  • It is an efficient programming language with data structures that offer a simple and effective approach to coding.
  • It is based on the object oriented programming approach that once understood, will also help a beginner build a base for other programming languages as well.
  • Its big in-built library and functions save time, increase efficiency and decrease complexity of programming.
  • It has an elegant syntax that is almost like the English language, thus making programmes easier to learn and build.
  • Python has a gradual learning curve, as opposed to other programming languages where the learning curve can be quite steep.
  • It has a wealth and abundance of documentation, making it easier for a beginner to get help if he/she is stuck somewhere while coding.

If you are a programmer, then you already know the basics of programming languages. So you would need to concentrate primarily on the syntax part of Python, which takes approximately 1 month.

If you are a newbie, then it would take around 3 months if you’re willing to spend around 4 hours a day.

However, if you are starting to learn Python, then you should focus on these important topics which usually take the most time to master:

  • 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

Delhi is home to several boot camps and institutes that offer Python programming courses. These can be for beginners, intermediate-level developers, or experts.

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: This course, offered by Udemy is designed specifically for beginners who want to jumpstart their Python careers. The course, with a duration of 24 hours approximately, teaches how to create something as simple as classes to as complex as decorators. 
  • KnowledgeHut: Offered by KnowledgeHut, this certification program covers the fundamentals of Python and allows you to learn Python from scratch. It also provides includes 22 hours of hands-on practical sessions with Python along with three use cases. 
  • The Python Bible™ | Everything You Need to Program in Python: A project-based course by Udemy aims to turn you into a professional from a beginner in just 9 hours. It covers Python basics such as loops, variables, data structures and provides guidance to create 11 projects throughout the course.
  • Google's Python Class: Google launched this course and uses lectures, coding exercises, and written materials for teaching the basics along with advanced libraries of Python such as HTTP, IO etc.
  • Full Stack Python: Best Python videos: This site hosts a collection of video resources ranging from basics to advanced level of tutorials. 

The average salary for a Python Developer is ₹ 6,56,720 per year in Delhi

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

How to Learn Python in Delhi, India

Follow the steps below to learn Python:

  • Figure out what motivates you

Before you begin your Python journey, it is important for you to figure out what motivates you to continue your Python learning journey. We recommend choosing an area wherein you wish to apply your Python knowledge. Some of these areas where you can apply your knowledge of Python include the following:

    • Games
    • Websites
    • Mobile Applications
    • Machine Learning applications
    • Data Science 
    • Development of scripts in order to automate work
    • Hardware/ Robots/ Sensor development
  • Learn the basic syntax

You need to be familiar with its syntax before you can apply your Python knowledge. This does not take much time and you will be able to develop a few simple programs. 

  • Develop Structured projects

Once you are comfortable with the basic Python syntax, it is now possible for you to start developing projects on your own. Developing your own projects in Python is one of the best and the most efficient ways of learning Python.

Here’s a list of courses that 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. 
  • Python 2.7 Tutorial: This course’s tutorials are based on mybringback youtube channel’s Python content. Aimed at absolute beginners, this is a free course and also provides learning material to go with the tutorial videos. 
  • Learn Python 2: This is a 22-part course which teaches Python 2 from scratch. No prerequisites are required for this course. Course content is a mixture and enhancement of two famous Python courses - Django girl’s Python tutorial and Google’s Python class. This is a free course which can be completed in about 3-4 weeks. Some of the highlights of this course are:
    • Beginner friendly
    • Dictionaries and lists are taught
    • Introduces Regular expression and Python 2 utilities
    • Teaches sorting as well as File I/O

Here are some of the benefits of learning Python over other programming languages:

  • As it can be used for general purpose tasks, most of the platforms of automation, big data and data mining rely on Python.
  • Due to its high readability and ease of learning, Python is highly recommended for both researchers 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.
  • When compared to experts of other programming languages like Java or C#, skills of experienced Python coders tend to stay more organized as it provides a more productive coding environment than others.

Here are some of the best resources to learn Python:

  • Learn Python 2 - Codecademy: This course covers both, Python programming language as well as the fundamentals of programming language.
  • Real Python: This course covers web programming using Python language. Frameworks are also taught such as Django, flask, and web2py.
  • Learn Python, it's cake - Udemy: If you are a beginner without the knowledge of coding and want to jumpstart your Python career, then this is the best free course offered.
  • Python for entrepreneurs: If you are looking to use Python in your startup or your own business, then this is the best course to enrol yourself in.

You can learn Python 3 in the following 5 steps -

  1. Find motivation: Python is a huge field, you need to find out what motivates you and it doesn’t necessarily have to be a project, it can also be a specific area of interest.
  2. Learning basics: Start learning the basics by which we mean syntax of Python mainly. Python has an easy and readable syntax and it will only take you a short time to understand.
  3. Implementation: After you have learned theory, it's time to implement. Try making your own project. Understand the errors and learn from them.
  4. Social coding: You can use websites such as GitHub etc. to code. It helps establish your network which may further help you in your career as well.
  5. Competitions: Competitions, whether online or offline such as hackathons, are an important source of learning. You will get to learn here how to obtain a solution which is optimal with given restraints in a fixed amount of time.

Below are the steps to get you started with Python for data science:

  • Step 1: Download Anaconda to set up the environment required for programming.
  • Step 2: Start learning about Python as a programming language. Learn about tuples, lists, dictionaries, importing/exporting of libraries/functions as well etc.
  • Step 3: Data cleaning is an important step in data science projects which prepares and corrects the input data. Input data can be of various forms, one such form is text data for which you can learn Regular expressions provided by Python.
  • 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: Having machine learning skills is the most important skill required in data science. Python, thus, provides with numerous libraries which can help in setting your ML model into which data can be injected. 
  • Step 7: Practice your skills in order to become a data scientist. You can try online competitions like Kaggle or create some projects.

Python Developer Salary in Delhi, India

As opposed to the Python Developer’s average annual remuneration of Rs. 6,56,720 in Delhi, Python Developers in Kolkata earn about Rs. 3,12,614  annually.

https://www.indeed.co.in/salaries/Python-Developer-Salaries,-Kolkata-WB 

The average annual salary of a Python Developer in Delhi is Rs. 6,56,720 as compared to Rs. 5,91,473 earned by a Python Developer in Mumbai.

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

Delhi offers an annual income of Rs. 6,56,720 per year as compared to Rs. 6,67,629 offered in Bangalore.

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

The demand for Python developers in Delhi is quite high. Since there are several tech companies like Griantek Pvt. Ltd, 1MG, Loopmethods, Secninjaz, Instafitness Pvt. Ltd, The Webexpert, Parallel Dots, AZMOBIA TELECOM, etc. working on several projects, this demand is not going down anytime soon.

There are several major tech companies in Delhi like that are paying Python developers a hefty salary.

The capital of India, Delhi, is a technical hub. Apart from conferences, meetups, and tech talks, the city offers affordable living. The city is also connected to Noida and Gurgaon, two other technical hubs in the North. This makes Delhi one of the most popular cities for Python developers to work in. 

The companies looking for Python developers to join their team in Delhi include Ezzyscript Technology Pvt. Ltd, Cocentrus, Pinnacle Digital Analytics (P) LTD, ManpraX, SAPster IT, Elawoman, Iraitech Innovations & Technologies Pvt. Ltd, Elawoman, MTG Learning Media, GlobalHunt India Pvt. Ltd, etc.

Python Conferences in Delhi, India

S.NoConference nameDateVenue
1.PyData Conference Delhi 20193-4 August 2019

Indraprastha Institute of Information Technology, Delhi

2.International Conference on Artificial Intelligence, Machine Learning and Big Data Engineering (ICAIMLBDE)
4th August, 2019
New Delhi

1. PyData Conference Delhi 2019

  • About the Conference: PyData Conference Delhi 2019 will bring together developers and users to learn from each other and share ideas on using Python for data analysis. There will be discussions on application of Python, R, and Julia. You will be learning about the challenges faced in processing, analytics, data management, and visualization.
  • Event Date: 3-4 August, 2019
  • Venue: Indraprastha Institute of Information Technology, Delhi
  • Days of Program: 2
  • Timings: 06:30 PM to 08:00 PM
  • Registration Cost: Free
  • Number of Speakers: 2
  • Speakers and profile:
    • Dr. Viral B. Shah, Co-Founder and CEO of Julia
    • Prekalpa Sankar, Co-Founder of Atlan & SocialCops
  • The major sponsors:
    • Go Jek
    • Barclays
    • Python Software Foundation
    • Onepanel
    • Sketch
    • Sticker mule
    • O4S
    • Elastic
    • Coding Blocks
    • Balsamiq
    • IIIT-D Student Chapter

    2. ISETE - International Conference on Artificial Intelligence, Machine Learning and Big Data Engineering (ICAIMLBDE)

    • About the Conference: The objective of the conference is to present the studies and research done in the field of Artificial Intelligence, Machine Learning, and Big Data. Fellow developers discuss new ideas and applications and establish connections.
    • Event Date: 4th August, 2019
    • Venue: New Delhi
    • Days of Program: 1
    • Who are the major sponsors:
      • ISETE
    S.NoConference nameDateVenue
    1.Basic Concepts of Python Programming
    6-7 April, 2017

    Foss Center – Dronacharya Group of Institutions, Greater Noida

    2.PyDelhi Conference 2017
    18-19 March, 2017
    IIM-Lucknow, Noida Campus

    1. Basic Concepts of Python Programming

    • About the Conference: This workshop was designed to help the students understand the simplicity and power of Python. It covered Python interpreter, strings, variables, data structures, and basic arithmetic.
    • Event Date: 6-7 April, 2017
    • Venue: Foss Center – Dronacharya Group of Institutions, Greater Noida
    • Days of Program: 2
    • Number of Speakers: 1
    • Speaker and Profile:
      • Mr. Jitendra Kumar Chauhan - Assistant Professor, Computer Science and Engineering at Dronacharya Group of Institutions.

      2. PyDelhi Conference 2017

      • About the Conference:  The conference advocated the usage of Python in different applications. This platform allowed the Python developer community of India to network and collaborate with another.
      • Event Date: 18-19 March, 2017
      • Venue: IIM-Lucknow, Noida Campus
      • Days of Program: 2
      • Timings – 08:00 AM to 06:30 PM
      • Number of Speakers - 4
      • Speakers & Profile:
        • Ricardo Rocha – Cloud Solutions, CERN
        • Chris Stucchio – Director of Data Science, Wingify/VWO
        • Brij Raj Singh – Sr. Technical Evangelist, Microsoft
        • Kunal Jain – Founder & CEO at Analytics Vidhya
      • The major sponsors:
        • Microsoft
        • L-incubator, IIM Lucknow

      Python Developer Jobs in Delhi, India

      A Python developer has a lot of scope for job growth in Delhi. Not only the city is home to several startups and big names in the IT field, but it is also connected to two major technical hubs in the North; Noida and Gurgaon. This offers multiple job opportunities to Python developers. Currently, there are 4232 Python Jobs in Delhi NCR on Naukri.com.

      The following companies are looking for Python developers in Delhi:

      1. Ezzyscript Technology Pvt. Ltd
      2. Cocentrus
      3. Pinnacle Digital Analytics (P) Ltd
      4. ManpraX

      To network with other Python developers in Delhi, you should visit one of the following meetups:

      1. Python-Django Dilli
      2. PyDelhi – Python Delhi User Group
      3. PyData Delhi
      4. PyLadies Delhi

      A Python developer is responsible for the following:

      1. Developing code for applications
      2. Writing server side code
      3. Protecting data through security measures
      4. Writing logics for computation and processing of data

      Learn Python Programming in Delhi, India

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

      • Popularity and potential for high salaries: Python is one of the most popular programming languages and demand for talented developers is climbing. Python experts draw among the highest salaries in the industry. The average salary for a Python Developer is ₹ 6,56,720 per year in Delhi.
      • Extensible and portable: These two properties of the Python programming language allows a developer to seamlessly perform cross languages operations. Python is also supported by some of the leading platforms in the industry including Macintosh, Linux, PlayStation and Solaris, among several others.
      • Simple and Easy to learn: Python is a programming language that is very simple and easy to learn. The following are the contributors to the simplicity of Python:
        • Interpreted 
        • High level
        • Large and active community of developers
        • Free and open source
      • Web Development: Python provides developers with a variety of frameworks in order to enable the development of websites. Since most frameworks on which websites are based are built on Python, Python code is, therefore, run faster and in a more stable manner.
      • Testing Framework: Python is a great platform for established companies to validate products or ideas. Python consists of a number of testing networks that are built in, including frameworks to test fastest workflows as well as debugging. Testing is usually a tedious task but is made easier with the use of Python.
      • Computer Graphics: Python is used in a variety of online as well as offline projects. The ‘Tkinter’ library in Python provides developers with an easy and fast method to create applications. Python can also be made use of in order to develop a game with the ‘pygame’ module.
      • Scripting and Automation: During Scripting,
        • The code is written in the form of scripts, which are executable
        • The machine reads and interprets these scripts
        • Checking for errors is performed during Runtime

      Following are the steps to create a program in Python:

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

      Python --version

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

      print “Hello world!”

      • Step 3: Save the file as <filename>.py. The .py extension is for telling the Python interpreter that this is a Python file.
      • 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 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

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

      • Write your script in an independent file 
      • Save the file with a ‘.py’ extension, thus indicating to the system that the file is a Python program.
      • Initialise the terminal on your system.
      • Go to the directory where your file is stored. Use the following command
        • Cd directoryName.
        • Now press enter
      • Type the command
        • Chmod a+x filename.py in order to inform your system that the said file is an executable program.
      • Lastly, type ./filename.py

      There are two ways to run Python on any OS:

      • Run commands on Python REPL (interpreter)
      • Run a Python program file which contains the commands
      • For both, Python should be installed on your operating system. You can check that by typing the following command:

      Python --version

      • If Python executable binary is in your classpath then you can simply type Python to enter its REPL shell.

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

      • In order to run Python scripts from the Finder or the Terminal window command line, you will first require a document editor.  
      • Many Unix command line editors come pre-installed into the Mac OS X. 
      • Make sure that /usr/local/bin is in the shell search path, if you wish to run the Python script from the Terminal window.
      • In case you want to run the Python script from the Finder, the following two options are available:
        • Drag it to the PythonLauncher
        • Choose PythonLauncher as the default application in order to open a script through the Finder. The Option Dragging option is one of the many preferences that PythonLauncher allows users to choose from. This option allows the user to either use its Preferences menu to change settings globally or change the settings for a single invocation.
      • In case you wish to run your Python script with a GUI, make use of Pythonw instead of Python in order to initialize these scripts.

      Python Applications

      Python is a general-purpose programming language. Some of the applications where Python is used extensively are:

      1. Web application development: Python provides frameworks such as - Django, Flask, Bottle, and Pyramid which help to ease the communication between different interfaces or protocols and content management.
      2. Academics: Python is extensively used for research purposes and in academic projects as well due to the number of useful libraries it offers such as - NumPy, Pandas, matplotlib, SciPy, and scikit-learn.
      3. GUI-based applications: Python provides TkInter library which is a GUI library, it helps create desktop applications with smooth interfaces.
      4. Business and enterprise applications: Due to its readability, extensibility, scalability and most importantly the number of libraries provided, Python is used to build ERP and e-commerce applications as well. 

      Some of the biggest and the most successful businesses in Delhi, India make use of Python in different ways-

      1. Secninjaz
      2. Griantek Pvt. Ltd
      3. Parallel Dots
      4. Loopmethods

      Python Setup

      Once you develop a Python script, it can be run on all the platforms that are supported by Python. There are various ways to install Python on your system, depending upon the Operating System that you are using. In case you already have Python installed on your system, then you are ready to start developing and running Python scripts of your own.

      1n order to install Python, use the Anaconda Python package:

      • Visit the Anaconda home page:
      • Click on the Anaconda tab from the menu and then proceed to click the Download tab in order to proceed to the Download page.
      • Once you land on the download page, choose the download that is suitable for your operating system viz. Linux, OSX or Windows.
        • Choose the Python 3.6 option 
        • Proceed to choosing the Graphical Installer
      • The above steps will lead to the initiation of the installation of the Anaconda Package on your workstation.
      • Install Anaconda
        • Now that the Anaconda Package is downloaded on your system, we will then proceed to install Anaconda.
        • Before you proceed, please make sure that you have sufficient administrative privileges required in order to install software on your system.
        • Proceed to clicking on the downloaded Anaconda file.
        • This will open up the Anaconda installation wizard, which will allow you a quick and painless installation of the Anaconda package.
        • The installation of the Anaconda package will not take more than 1 GB of disk space on your hard drive. The process will take 10 minutes.
      • Initialize and update Anaconda
        • Once the Anaconda Python package is installed in your system, we will then proceed to check whether the Anaconda Python environment installed in your system is up to date.
        • The Anaconda Python package includes a full suite of Graphical Tools,  which are termed Anaconda Navigator.
        • From the Application Launcher window, choose the Conda option. Conda is chosen for this purpose as it is simple and fast.
        • Open a command line window and confirm that conda is installed in your environment correctly by typing the following command:
          • Conda -V
        • Next, confirm if Python is correctly installed by typing out the following command in the command line:
          • Python -V
        • If the system does not throw up an error, it means that Conda was installed successfully.
        • Confirm that the Conda version is up to data by typing the following command in the command line:
          • Conda update conda
          • Conda update anaconda

      Running Python 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.

      • Mac OS X usually comes pre-installed with Python 2.7.
      • In case you wish to install a newer version of Python, simply visit the Python Website (https://www.Python.org) and download the latest version.
      • As you start installing Python on Mac OS X, you get the following:
        • A framework, viz. /Library/Frameworks/Python.framework, that includes the Python libraries and executable. This location is added to the shell path by the installer itself and you do not have to do anything manually. In case you wish to uninstall MacPython in the future, you can simply remove these from your system. 
        • A MacPython 2.7 folder that is made in your Applications folder. Inside this folder, you will find the IDLE, which is a development environment that is a part of the standard Python distributions.
          • The PythonLauncher, which handles the double clicking Python scripts from the Finder, is also included in this.
          • The Build Applet tool is also included. This tool allows the developer to package the Python scripts as standalone applications in the system.
      • 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.
      • The IDLE also includes a help menu that enables the developer to access the Python documentation, which contains everything from tutorials to FAQs in order to make the use of Python easier for the developer.

      Python 2.7 and Python 3.5 come preinstalled on Ubuntu LTS. However, 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 and enter the password:

      $ sudo apt-get update

      • Enter the following command to install Python 3.6 and enter the password:

      $ sudo apt-get install Python3.6

      • Run Python 3.6 by using the following command:

      $ Python3

      Note: You would also need to install setuptools and pip which are the two most crucial third-party Python packages.

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      Faq

      Python Certification Course

      Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.

      You will learn:

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

      By the end of this course, you would have gained knowledge on the use of Python programming language to build applications.

      There are no restrictions but we recommend having basic programming knowledge.

      Yes, KnowledgeHut offers python programming training online.

      On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

      Your instructors are Python experts who have years of industry experience. 

      Finance Related

      Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of the written request for refund. Kindly go through our Refund Policy for more details.

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

      The Remote Experience

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

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

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      Python Programming Course in Delhi

      Delhi is the national capital of India, and is a city that connects two different worlds. Old Delhi, once the capital of Islamic India, is a maze of narrow lanes lined with collapsing havelis and formidable mosques. In contrast, the imperial city of New Delhi built by the British Raj comprises spacious, tree-lined avenues and imposing government structures. Delhi has been the seat of power for several rulers and many empires for about a millennium. The city is known for its captivating ancient monuments, fascinating museums and art galleries, architectural wonders, a vivacious performing-arts scene, fabulous eating places and bustling markets. As the political hub of India, every political activity in the country traces its roots here. With government offices and leading enterprises based in Delhi, the city offers great prospects for IT professionals in IT Security, Information Technology and many other areas. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.