Getting Started With Python

Hands-On Approach

Ratings 4.60 / 5.00
Getting Started With Python

What You Will Learn!

  • Fundamentals of Python Programming
  • Working with VS Code and Jupyter Notebook
  • Live Programming Examples and Projects
  • GUI Programming using Tkinter Module
  • Python Modules
  • Object Oriented Programming in Python
  • Exception Handling in Python
  • Python Data Types

Description

This course provides a comprehensive overview of Python Programming which is one of the most widely used computer programming language in the world today.  The language has a strong presence in domains like: Data Science, Artificial Intelligence, Machine Learning, Cyber Security, Web Development and many other domains that are relevant today. The course covers the language basics as well as the algorithms that are required to build a program. The hands-on part of Python has been implemented in VS Code and Jupyter Notebook, so that learners can get used to the software environments that are popular in the community.  The course has been designed in such a way that beginners can follow along easily in a step by step manner and get confident in their coding skills.  If you have knowledge of other programming language then also you will find the resources helpful that will help you to get used to Python programming and its syntax in no time. At a glance the following concepts are covered:

1. Python Programming basics: Working with variables, type casting, processing user input

2. Loops in Python: if-else, For, While

3. Python Data Types: List, Dictionary, Tuple, Set

4. Exception Handling

5. Functions

6. Modules: DateTime, Regex, Turtle, Tkinter: GUI Programming,  MATPLOTLIB

7. Creating Executable File

8. Object Oriented Programming: Polymorphism, Inheritance, Encapsulation

9. Mini Projects/Coding Challenges: Random Password Generator, QR Code Generator

10. API Handling: JSON decoding in Python

Who Should Attend!

  • Beginners in the field of programming, experts who want to have a quick recap and brush up the concepts. The course is easy to follow and it's completely hands-on

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Tags

  • Python

Subscribers

624

Lectures

91

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