Learn Python Programming Fast | With Practical Assignments - Printable Version

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Learn Python Programming Fast | With Practical Assignments - AD-TEAM - 03-18-2025

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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 Tongue

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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