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Python Certification Training in Noida, 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 the most preferred programming language among the developers. It is a high level, interpreted, object-oriented programming language which contains dynamic semantics. The dynamic semantics combined with Python’s data structures make it ideal for Rapid Application Development. Python offers an easy to learn syntax. There is a focus on easy inference and thus, it reduces the program’s maintenance cost.

Python was created by Guido Van Rossum. He first conceptualized the language in the late 1980s. During that time, he was working as an implementer of the ABC programming language at the National Research Institute of Mathematics and Computer Science. He created Python as a replacement for ABC. The language was supposed to have a syntax similar to ABC along with access to the AMOEBA distribution system. In 1991, he introduced Modula 3, the first version of the language.

Guido Van Rossum created Python in the late 1980s. During that time, he was a huge fan of the hit comedy show on BBC, ‘Monty Python’s Flying Circus’. He liked the name ‘Python’ as it was short , unique, and mysterious and so, he named his pet project after it.

Below are the top 5 reasons for the popularity of Python:

  1. It has the support of a vast, global, open-source community that is working on making the language better by introducing different packages to keep the language in trend.
  2. Google is the corporate sponsor of Python. All the tutorials and guides of the language are maintained and regularly updated by Google.
  3. Python offers versatility and efficiency as it can be deployed in any environment with no performance loss. Also, with regular expressions, you can increase the output’s accuracy and decrease the length of the code.
  4. Since it can be used effectively for general purpose tasks, it is used for research purposes as well as for powering fields like data science, machine learning, etc.
  5. Its syntax resembles the English language that makes it easy for a newbie programmer to learn.

If you want to get into the field of programming, learning Python is the most popular and common way to do so. Here are the top reasons to learn Python:

  1. Ease of learning: Python is simple and easy to learn because of its clear syntax and readability, making it the perfect language for beginners.
  2. General-purpose: Fields like web development, cloud computing, data science, and machine learning are extensively using Python in their projects because of its general purpose tasks utility.
  3. Big community: Python offers several packages developed by its global, open-source community that helps keep the language updated.
  4. Flexibility: Python can be easily incorporated with other programming languages. For example, one can easily use Jython while working on a project that is more suited to Java.
  5. Business use: Because of its applications in fields like data science and machine learning, Python is becoming the No. 1 choice for non-technical professionals as well.

As a beginner, you need to follow these 5 steps to get started with the Python programming language:

  1. Understand why Python: Find out what field motivates you and learn how you can use Python in it. There are several fields like data science, machine learning, web development, game programming, etc. that implement Python.
  2. Install Python: Set up the environment by installing Python. For this, you can try the Anaconda package manager or download it from the official website.
  3. Use IDE: Errors are a part of coding but they are also a great way to learn. IDEs debug your code and help you understand your errors and learn from them.
  4. Learn basics: Use online blogs, videos, and courses to learn the fundamentals of Python like variables, function, lists, tuples, etc.
  5. Implementation: The last step is to start implementing your knowledge. Practice as much as you can. Work on your projects or take assignments available online. You can also opt for bootcamps in Noida to gain real-world Python experience.

If you want to learn Python fast, you can try learning some of the following topics:

  • Help in Python: The help() function can be used to learn how an object works.
  • Indentation: The scope of a code block is not defined by curly braces, but by indentation.
  • Data types: Complete knowledge of Python’s data structures like dictionaries, lists, tuples, etc. is a must.
  • Flow control statements: This includes learning how control flow statements like if, for, while, and range(<number>) work.
  • Functions and classes: Python has def keyword for functions and class keyword for classes.
  • Exceptions: Try-except deals with exception handling.
  • I/O: File handling is performed with the help of built-in libraries.
  • Importing libraries: To import external libraries in your program, use the

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

Python Certification in Noida, India

No, learning Python is very easy because of the following reasons:

  • Easy to learn syntax that is similar to the English language
  • Built-in functions
  • Standard libraries

Yes, it is easy for beginners to learn Python programming language. Here are the reasons explaining why:

  • Thanks to the data structures provided by the language, programming in Python has become very efficient.
  • It is object-oriented in nature. So, learning it will help you understand other object-oriented programming language as well.
  • The built-in library of Python saves time by decreasing the complexity of the program and increasing the overall efficiency.
  • Because of its similarity to the English language, the syntax of Python is very easy to learn.
  • Both beginners and experienced programmers can learn about Python. Python.org is one of the free online Python tutorials and contains the official documentation of Python programming language. 
  • The learning curve for Python is gradual as opposed to other types of programming languages, most of which have a comparatively steep learning curve.
  • Python has a vast community of very helpful developers. When a beginner is stuck at a problem, the community comes together to help him/her, in one of the following ways: 
    • Since its a very large community of developers working with the same programming language, there are chances that someone else was stuck at the same problem at one point and it was solved, so the solution is available. 
    • In case the solution is not already available, the Python community comes together to try and solve the problem which enhances learning. 

If you are a complete newbie at programming and want to learn Python, you will have to dedicate 4 hours a day to learn the language in 3 months. However, if you have experience in working with any programming language, it will not take you more than a month to finish learning Python. Below are the topics that take the most time:

  • 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

If you want to learn Python programming language, here are the 4 best ways to do so:

  • Complete Python Bootcamp: Go from zero to hero in Python 3: This 24-hour long course offered by Udemy is meant for beginners. Apart from the basic concepts of Python, you will also learn how to develop games on Python.
  • KnowledgeHut: This 24 hours of Instructor-led Training will help you get started on your Python journey. You will learn the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping.
  • Google's Python Class: This course contains written materials, coding exercises, and lectures that will help you learn Python and its advanced libraries like HTTP, IO, etc.
  • Full Stack Python: Best Python videos: This course can be used by beginners and experts as it has video resources covering basic as well as advanced topics of Python.

In Noida, a Python developer can earn Rs. 4,87,394 per year.

How to Learn Python in Noida, India

The right way to start learning Python is mentioned below:

  • Figure out what motivates you: Before you start learning Python, you need to find out what makes you want to keep going and keeps you motivated to stay on the path to learning Python. Choose an area where you will be applying your knowledge of Python. Some areas are:
    • GamesData Science
    • Development of scripts to automate work
    • Hardware/ Robots/ Sensor development
  • Learn the basic syntax: Start familiarizing yourself with the basic concepts of Python. With just a little time and effort you will be able to code basic programs in Python.
  • Develop Structured projects: Once you’ve comfortably learned Python syntax, you can start developing your own projects. This is one of the most efficient ways of learning Python since it is easier to retain knowledge when you apply it.

If you want to learn Python Version-2, here is a list of courses that will help you do the same:

  • Python 2 Course: This course can be used for beginners as well as experts. It is a 24-hour long, self-study course. The website has an online interpreter that you can use for implementing your skills.
  • Python 2.7 Tutorial: This course is based on Python content of a YouTube channel named ‘mybringback’. It is a concise course that is available for free to all the people wanted to start their career in Python. Along with the video tutorials, additional learning material is also provided.
  • Learn Python 2: Made from combining two courses - Google’s Python class and Django girl’s Python tutorial, this is a 22-part course that will take about 3 to 4 weeks to help you learn Python from scratch.

The 5 benefits of learning Python over other programming languages are:

  1. Its general-purpose tasks utility allows it to be used in platforms like big data, automation, and data mining.
  2. It is very easy to learn and read which makes it useful for academic as well as research purposes.
  3. It is supported by a huge, global, open-source community that will help you get out of a problem whenever you are stuck.
  4. It facilitates the development process by frameworks like Django, Ruby on Rails, etc.
  5. Unlike other programming languages, Python has a more productive coding environment.

The top 4 resources to learn Python are as follows:

  • Learn Python 2 - Codecademy: It is a 25-hours long course that covers all the fundamentals of Python. There are no prerequisites for taking this course.
  • Real Python: This course covers the basics of programming as well as implementing Python for web development. You will learn about web development frameworks like Django, Flask, and web2py.
  • Learn Python, it's cake - Udemy: This is a 7-hours long, free course that is meant for people with zero experience in programming.
  • Python for entrepreneurs: Meant for people who want to use Python in their business, this 19.3 hours long course costs about $89 USD.

To learn Python 3 programming from scratch in 5 steps, follow these:

  1. Find motivation: Figure out where you want to implement your programming skills. For Python, you can select one of the following fields:
    1. Game programming
    2. Web development
    3. Machine learning
    4. Data science
  2. Learning basics: Learn the basics of Python like its syntax and libraries. The following two courses can help you learn the Python programming language:
    1. Google's Python Class
    2. The Python Bible™ | Everything You Need to Program in Python
  3. Implementation: Next you need to start coding and working on projects. Begin with a small and easy project and make your way up to complex projects. Understand the errors and learn from them.
  4. Social coding: Start contributing to open-source projects. This will not only help you in understanding how industry level projects work, but also create professional connections.
  5. Competitions: Try participating in online competitions that will allow you to work on your coding as well as problem-solving skills.

Here is how you can learn how to use Python for data science in 7 steps:

  • Download Anaconda and set up the environment required for programming.
  • Start learning the fundamentals of Python. This means learning the syntax, data structures, and libraries of Python.
  • Next step is gathering and cleaning the data. You need to learn how to convert unstructured data into a form that can be injected into the ML tool for data analysis.
  • Learn how data science libraries like NumPy, Matplotlib, SciPy, Scikit-learn, etc. work. This will help smooth out the development process.
  • Next step is data visualizations. Matplotlib library of Python can be used for visualizing the datasets. This is done to get a better understanding of the data and relationships among them.
  • Knowledge of machine learning concepts is essential in data science. For creating ML model, you can use the scikit-learn library.
  • Participate in online competitions like kaggle or build some projects to practice your implementation skills.

Python Developer Salary in Noida, India

The average salary of a Python developer working in Noida is Rs. 4,87,394 per year.

The average income of a Python developer working in Noida is Rs. 4,87,394, which is less than one working in Mumbai, which is Rs. 5,91,473.

A Python Developer in Noida can earn about Rs. 4,87,394 per year, which is slightly lower than one working in Bangalore at an income of Rs. 6,66,319 per year.

Owing to the simplicity and versatility of the language, Python developers are in huge demand in Noida. Companies like Incaendo Technologies Pvt Ltd, Quent Technologies, MindaQuest Business Solution Pvt Ltd, Unyscape Infocom Pvt. Ltd, Tutorial Times, Exxyscript technology Pvt. Ltd, Arcturus Business Solutions, etc. are actively hiring Python developers.

A Python developer in Noida enjoys several benefits. The city is home to more than 1300 startups, including Paytm, PropTiger, RateGain, etc. With several startups and big corporations working in systems powered by Python, the demand of Python developers is certainly high in Noida. Also, this opens doors to multiple job opportunities.

Compared to developers of other languages, Python developers enjoy certain perks and advantages. The simplicity of the language’s syntax allows them to focus on more important things like how to make the system more user friendly. Also, the language is commonly used in major fields like data science, machine learning, and artificial intelligence which opens several doors to career growth.

RS Tech Technologies, Energasia Smart Poles Private Limited, KindKonnect Technologies, Hard Shell Technologies Pvt. Ltd., Minerva Infotech, Jupsoft Technologies Pvt. Ltd., ATP, Payme India – Huey Tech Pvt Ltd, Algoscale, Smart4U, IMPEX, Legistify, etc. are some of the companies looking for Python developers in Noida.

Python Conferences in Noida, India

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Conference name
Date
Venue
1.

International Conference on Internet of Things, Big Data Analytics and Information Technology (ICITBDIT – 2019)

8th September, 2019

Noida


1. International Conference on Internet of Things, Big Data Analytics and Information Technology (ICITBDIT – 2019)

  • About the Conference: The conference is for developers to discuss the trending technologies in the field of IoT, Big data, and Information Technology.
  • Event Date: 8th September, 2019
  • Venue: Noida, Uttar Pradesh
  • Days of Program: 1
  • Who are the major sponsors:
    • IRF
S.No
Conference name
Date
Venue
1.Workshop on Python 
13 September 2017
IMS Ghaziabad
2.One day workshop on Python - ABESIT
3rd August 2018

ABESIT College, Noida


  1. Workshop on Python
  • About the Conference: The workshop aimed at providing industry exposure and holistic development to the students regarding the utility of Python in application development. The participants got hands-on experience with the language and discussed the future prospects in technology.
  • Event Date: 13 September, 2017
  • Venue: IMS Ghaziabad
  • Days of Program: 1
  • Number of Speakers: 1
  • Speaker and Profile:
    • Mr. Ashu Lekhi – Senior Expert and Corporate Trainer at 3a Learning Solution Pvt. Ltd
  • Who were the major sponsors:
    • IMS Ghaziabad
  1. One day workshop on Python - ABESIT

  • About the Conference: This short and interactive workshop allowed the students to take part actively in learning the fundamentals of Python and how it is used in different industries. 
  • Event Date: 3rd August, 2018
  • Venue: ABESIT Campus, Noida
  • Days of Program: 1
  • Timings: 10:00 AM to 01:00 PM
  • Number of Speakers: 2
  • Speaker and Profile:
    • Mr. Amir Khan – Professional Trainer, Aptron Solutions, Noida
    • Mr. Sonu Prakash – Business Manager, Aptron Solutions
  • Who were the major sponsors:
    • ABESIT College, Noida

Python Developer Jobs in Noida, India

In Noida, the salary of a Python developer is about Rs. 4,84,203 per year.

Python is a popular programming language that is used by several companies based in Noida. They are actively looking for Python developers to help them with the development of software like custom application development and desktop-based GUIs, internet & web development, and numeric & scientific computing, etc. Currently, there are 1111 Python Jobs available in Noida on Naukri.com. So, needless to say, the scope of Python developers in Noida is high.

In Noida, the following companies are hiring Python developers:

  • Spaak Super Tec Pvt. Ltd.
  • Quovantis Technologies
  • Meon
  • Fifth Gen Tech Solutions
  • Space Consultants

You can meet with fellow Python developers in Noida through the following groups:

The responsibilities of a Python developer include

  • Writing reusable, testable, and efficient code
  • Integrating user-facing elements into applications
  • Maximizing applications' effectiveness
  • Implementing data security and protection

Learn Python Programming in Noida, India

Below are the main reasons why one should learn Python Programming:

  • Popularity and high pay: According to the Institute of Electrical and Electronics Engineers,  Python is the no. 1 programming language in the year 2018. Python is currently being used by several high-traffic websites including Google and Yahoo. Apart from that, it has various applications in different domains, including data science, machine learning, etc. So, Python developers are much more in demand than ever before.The average salary for a Python Developer is Rs 5,10,009 per year in India.
  • Extensible and portable: Its extensibility and portability helps in carrying out cross language operations smoothly. This is why major platforms like Mac, Solaris, Linux, and PlayStation use Python.
  • Simple and Easy to learn: Python is a free, open-source, high-level, interpreted language that has a syntax resembling the English language. This makes it very easy to learn.
  • Web Development: Python is used by several web development frameworks for carrying out the development process smoothly.
  • Testing Framework: Companies use Python for validation of their ideas or products. This is because Python facilitates fast workflows and debugging. 
  • Computer Graphics: The Tkinter library of Python is used for creating graphics in desktop applications. Also, the ‘pygame’ module is used for creating games.

Here is how you can create your first program in Python in 4 easy steps:

  • Step 1: Check if Python is installed on your system or not by typing in the following command:
    • Python—version.
  • Step 2: Write your code in any test editor. For example,

print “Hello world!”

  • Step 3: Save the file with .py extension as <filename>.py.
  • Step 4: Fire up the command terminal or prompt, visit the directory that has the .py file and use the command <filename>.py.

Output: Hello world!

The 2 different ways to run a Python program are:

  1. Using a Python shell
    • Open the IDLE (Python GUI) file
    • Write your script and hit enter
  1. Using a file

    • Type your script in a file and save it using .py extension
    • Open up the terminal and go to the location of the file.
    • Type the command for informing the system that it is an executable program.
      • Chmod a+x filename.py
    • Type ./filename.py to run your program.

Here is how you can run a Python script on Windows:

  • Through the Python REPL (interpreter)

Type Python to enter the REPL shell. This can be done only if the Python executable binary is in classpath

  • Running a Python program file containing the commands

Open the command prompt and use the following code:

For example:

>> C:\Users\y\hello.py   - For Windows

$ /usr/bin/hello.py          - For Linux (Ubuntu)

Here is what you can do to effectively run Python scripts on Mac OS X:

  • Write the script in any document editor. Standard Unix command line editors like emacs and vim are preinstalled in Mac OS X.
  • Add /usr/local/bin to the shell’s search path to run the script from the terminal window.
  • To run Python script from the Finder, try one of the following options:
    • Drag it to the PythonLauncher
    • Set PythonLauncher as the default application.

Python Applications

The top 4 applications of Python programming language in the real world are:

  1. Web application development: Python provides frameworks such as - Django, Flask, Bottle, and Pyramid for more effective communication between different interfaces, and content management to go along with more useful features.
  2. Academics: The language is usually used for research and academic projects because of the libraries that it offers like NumPy, Pandas, matplotlib, SciPy, and scikit-learn. It is also used to power fields like Data Science and Machine Learning.
  3. GUI-based applications: Tkinter library of Python is used for creating desktop applications with smooth interfaces.
  4. Business and enterprise applications: Python is readable, scalable, extensible, and offers a large selection of libraries like Tryton and Odoo which makes it suitable for building and supporting large applications like E-commerce and ERP.

The top 4 companies that use Python in Noida are:

  • Kwantics
  • QA Infotech
  • Xavient
  • Learn and Lead Talent Solutions

Python Setup

Python is a programming language that isn’t dependent on the platform, and thus, your Python script can run on any Python supported platforms. To run Python script, you need to install Python on your system depending on the operating system you are using. Once you do that, you can start coding in Python.

Here are the steps you need to follow for downloading and installing Python 3 in Windows:

  • Visit the home page of Anaconda:
  • Download the package according to your operating system.
  • Start installing the Anaconda Package. The whole process will take less than 10 minutes.
  • Initialize and update Anaconda
    • Anaconda Navigator is a full set of graphical tools that can be launched directly from the applications launcher.
    • Select the Conda option from the application launcher window.
    • Open a command line window and type the following command to check if Conda is installed in the system or not:
      • Conda -V
    • Use the following command to check whether Conda version is up to date or not:
      • Conda update conda
      • Conda update anaconda

These 3 easy steps will help you download and install Python on Mac OS X:

  1. Install Xcode: Use the following command to install Xcode:

$ Xcode-select --install

  1. Install brew: Next step is installing Homebrew, package manager of Apple. Use the command:

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Use the command ‘brew doctor’ to confirm the installation.

  1. Install Python 3: Type in the following command for installing command:

brew install Python.

Downloading and installing Python on Ubuntu takes the following 3 easy steps:

  • Update the apt-get package by using the following command:

$ sudo apt-get update

  • Install Python 3.6 by using the following command:

$ sudo apt-get install Python3.6

  • Run Python 3.6 on your system by typing the following command:

$ Python3

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Computer Network Architect.
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Data Quality Manager
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Faq

Python Certification Course

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

You will learn:

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

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

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

Yes, KnowledgeHut offers python programming training online.

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

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

Finance Related

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

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

The Remote Experience

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

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

Have More Questions?

Python Programming Course in Noida

An acronym of New Okhla Industrial Development Authority, Noida is a city that was established as part of a planned urbanization thrust in the 1970s.One of the most well planned cities in India, this city has the highest per capita income in the national capital region. This makes it a highly sought-after hot spot for realty, IT and IT services and BPOs. The infrastructural facilities in Noida are state-of-the-art and on par with global standards, and this city may soon surpass Bangalore as the acknowledged software capital of the country. Many top multinationals outsourcing IT services are located here- including Sapient, Headstrong, TCS, Fujitsu, Adobe among others. Due to the multifold advantages it offers, the city offers great scope for professionals in all areas of software technology such as Big Data and Hadoop 2.0 Developer, CEH and so on. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.