Learn Python Programming Fast | With Practical Assignments
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.64 GB | Duration: 6h 51m
Learn Python Programming quickly with hands-on assignments. Master the fundamentals and code smarter with AI tools!
What you'll learn
Beginner Programmers
AI & ML Enthusiasts
Web Developers Wanting to Learn Python
Professionals Seeking to Add Python to Their Skill Set
Non-Tech Professionals & Students
Requirements
No programming experience needed.
Description
Learn Python Fast with Hands-on Assignments & AI-Powered Learning!Are you looking for a quick and effective way to learn Python without wasting time on unnecessary theory? This course is designed to help you grasp Python fundamentals fast and apply them in real-world coding with hands-on assignments.What You'll Learn
ython basics: variables, data types, loops, functions & moreWriting real Python programs with practical examplesDebugging and verifying code efficientlyHow to use AI tools like ChatGPT to generate, improve, and validate codeWhy Take This Course?Short & to the point - Learn Python without hours of fluffHands-on practice - Reinforce learning with real assignmentsAI-assisted coding - Understand how to leverage AI for faster learningBeginner-friendly - No prior programming experience neededWho is this course for?Absolute beginners who want to learn Python quicklyWeb developers & programmers looking to build Python skillsAnyone who wants to use AI tools effectively for codingAspiring AI Engineers, Machine Learning Engineers, and Data Scientists who need strong Python fundamentalsPython is one of the most in-demand programming languages today. Whether you're starting your coding journey, want to code smarter with AI, or plan to become an AI Engineer, Machine Learning Engineer, or Data Scientist, this course will give you the essential knowledge and practical skills to succeed.Enroll now and start coding in Python today! Overview
Section 1: Introduction
Lecture 1 Introduction to Python
Lecture 2 How To Get The Most Out Of This Course
Lecture 3 Asking Questions & Getting Help
Section 2: Setting Up the Development Environment
Lecture 4 Install Python on Windows
Lecture 5 Install Python on Mac
Lecture 6 Install VS Code
Section 3: Basic Syntax and Data Types
Lecture 7 Executing Python Code
Lecture 8 Variables in Python
Lecture 9 Data Types in Python
Section 4: Operators & Expressions
Lecture 10 Arithmentic Operations
Lecture 11 Comparison Operators
Lecture 12 Logical Operators
Lecture 13 Practice Program
Section 5: Working with Strings & User Input in Python
Lecture 14 Concatenation
Lecture 15 Input Function
Lecture 16 Type Conversion
Lecture 17 String Methods
Lecture 18 String Formatting
Lecture 19 Assignment 1
Section 6: Collection Data Types in Python
Lecture 20 List
Lecture 21 Dictionary
Lecture 22 Tuple
Lecture 23 Set
Lecture 24 Assignment 2
Section 7: Control Flow in Python: Conditions & Loops
Lecture 25 If, Elif, Else Conditions
Lecture 26 For Loop
Lecture 27 While Loop
Lecture 28 Nested For Loop
Lecture 29 Break, Continue and Pass
Lecture 30 Assignment 3
Section 8: Functions in Python: Write, Call & Reuse Code
Lecture 31 Defining & Calling a Function
Lecture 32 Dynamic Functions
Lecture 33 Built-in Functions & User Defined Functions
Lecture 34 Lambda Functions
Lecture 35 Map Function
Lecture 36 Assignment 4
Section 9: File Handling in Python: Read, Write & Manage Files
Lecture 37 Reading the Files
Lecture 38 File Handling Modes - Part 1
Lecture 39 File Handling Modes - Part 2
Lecture 40 With Statements
Lecture 41 Handling CSV Files
Lecture 42 CSV Operations for Dictionaries
Section 10: Error Handling in Python: Try, Except & Debugging
Lecture 43 Common Errors in Python
Lecture 44 Error Handling - Try/Except Blocks
Section 11: Modules & Packages in Python: Importing & Organizing Code
Lecture 45 Modules in Python
Lecture 46 Packages in Python
Lecture 47 Built-in Modules Part 1
Lecture 48 Built-in Modules Part 2
Section 12: Python Mini Projects: Build Real-World Programs
Lecture 49 Write a Program to Create a To-Do List
Lecture 50 Thank you & Outro
Complete Beginners - Anyone new to coding who wants a quick and effective Python start.,Web Developers - Those looking to add Python for backend, automation, or AI projects.,AI & ML Enthusiasts - Learners who need Python fundamentals to work with AI, ML and Data Science.,Students & Professionals - Non-tech individuals wanting to automate tasks or analyze data
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