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Become Experts in Python | Exercises | Projects | Quiz
Rating: 4.2 out of 5(127 ratings)
17,302 students

Become Experts in Python | Exercises | Projects | Quiz

Python Programming | 200+ Python Exercises | Python Projects
Created byAshish Pandit
Last updated 12/2025
English
English [Auto],

What you'll learn

  • You will master the Python programming language by building 100+ projects.
  • You will learn Selenium, Beautiful Soup, Request, Flask, Pandas SQLite, MySQL, PostgreSQL, Seabon, and Matplotlib
  • Build GUIs and Desktop applications with Python programming
  • Be able to use Python programming for data scraping and automation
  • Create a portfolio of real Python projects to apply for developer jobs
  • Course get update every week

Course content

8 sections138 lectures10h 36m total length
  • Python A - Z2:11
  • What is Programming ?5:30

    discover how programming uses Python to write instructions for a computer, and why Python’s readability, versatility, libraries and frameworks drive its popular use in web development, data science, and automation.

  • Overview of Jupyter Notebook & Python20:01

    Get a practical overview of Python, including installing Python and Jupyter Notebook or Google Colab, and using basic syntax and commands to run code in notebooks.

  • What is Google Colab ?3:39

    Experience a cloud-based Jupyter notebook environment for writing and running Python in a browser. Access GPUs and TPUs, pre-installed libraries, and easy collaboration via Drive.

  • Print Statement in Python8:03

    Learn how the print statement in Python outputs text to the console and aids debugging. Explore simple examples with strings and variables, including hello world in Google Colab.

  • Comments in Python6:27

    Explore how comments in Python boost readability, using single-line comments with the hash symbol and multi-line comments via repeated hashes or triple quotes, which the interpreter ignores.

  • Variables in Python9:32

    Explore python variables as name storage containers, and learn how dynamic typing and the assignment operator determine values, while underscores guide multiword names and spaces are not allowed.

  • Checking Data Types in Python12:47

    Explore Python's built-in data types, including int, float, complex, strings, lists, tuples, dicts, sets, booleans, bytes, and None, and learn how to check types with type and isinstance.

  • Converting Data Types in Python10:00

    Explore implicit and explicit type conversion in Python, including int, float, string, boolean casting, iterables to lists, tuples, or sets, and note data loss.

  • Using Input Output Function20:42

    Explore Python input and output: read user input with input(), print results with print, perform type conversion to int or float, and use f-strings, format, and separator controls.

  • Recap of Section 17:46

    Review section one highlights Python basics in Google Colab, covering print, variables and data types, input, basic arithmetic, comments, and f-strings to combine strings and numbers.

Requirements

  • No programming experience needed - you will learn everything you need to know.
  • Access to a computer with an internet connection.

Description

Learn Python From Beginner To Advanced Level

  • I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.

    The course starts with the basics, including Python fundamentals, programming, and user interaction.


    The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.


  • The topics covered in this course are:

    * Beginner to Expert Python contents:


    Array implementation

    File methods

    Keywords and Identifiers

    Python Tuples

    Python Basics

    Python Fundamentals

    Data Structures

    Object-Oriented Programming with Python

    Functional Programming with Python

    Lambdas

    Decorators

    Generators

    Testing in Python

    Debugging

    Error Handling

    Regular Expressions

    Comprehensions

    Modules

  • See you inside the course!

What you’ll learn

  • Go from Beginner to Advanced in Python Programming by learning all of the basics to Object Orientated Programming.

  • Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts

  • Use variables to store, retrieve and calculate information

  • Utilize core programming tools such as functions and loops

Are there any course requirements or prerequisites?

  • Only the very basic computer skills are needed

  • A computer, Access to the internet, An interest in learning Python

Who this course is for:

  • If you want to learn Python from scratch through building fun and useful projects, then take this course.
  • f you want to start your own startup by building your own apps.
  • If you are an experienced programmer wanting to switch to Python then this is the quickest way through real coding projects.
  • If you are an intermediate Python programmer this course will help you to level up.