Python Programming For Beginners: Learn Python In 5 Hours

Python Programming For Beginners: Learn Python In 5 Hours
Published 1/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

The Ultimate Python Crash Course for Beginners

What you’ll learn

Core Python Syntax: Master the fundamentals of Python programming language.

Data Structures: Work with lists, sets, dictionaries, and other data types. Control Flow: Utilize conditional statements and loops for program logic.

Functions & Modules: Write reusable code with functions and organize projects with modules.

Real-World Projects: Apply skills to build a countdown app and automate spreadsheet tasks.

Requirements

This course is designed for absolute beginners with no prior coding experience.

You don’t need any special skills or tools! Just a computer with internet access and a willingness to learn.

Description

Overview

Section 1: Introduction to Python

Lecture 1 What is Python?

Lecture 2 Why Learn Python?

Lecture 3 Setting Up Your Python Environment

Lecture 4 Set up for MacOS Users

Lecture 5 Setting Up PyCharm IDE

Lecture 6 Writing Your First Python Program

Lecture 7 Python IDE vs. Simple File Editor

Section 2: Python Building Blocks

Lecture 8 Data Types: Strings and Numbers

Lecture 9 String Concatenation

Lecture 11 Functions: Encapsulating Logic

Lecture 12 Scope

Lecture 13 User Input

Lecture 14 Built-in Functions

Lecture 15 Functions with Return Values

Lecture 16 Conditionals and Boolean Data Type

Lecture 17 Comparison Operators

Lecture 18 Program Flow

Section 3: Controlling Program Flow

Lecture 19 Error Handling with Try/Except

Lecture 20 While Loops: Repeating Code

Lecture 21 Lists

Lecture 22 For Loops

Lecture 23 Split and Append Lists

Lecture 24 Comments in Python

Section 4: Advanced Python Concepts

Lecture 25 Sets Data Type

Lecture 26 Set Operations and Syntax

Lecture 27 Built-in-Functions Summary

Lecture 28 Dictionary Data Type

Lecture 29 Accessing Elements in lists and Dictionaries

Lecture 30 Modules in Python

Lecture 31 Create a Module and Import Statement

Lecture 32 Built-in Python Modules

Lecture 33 Packages and PyPI

Lecture 34 Object-Oriented Programming and Classes

Section 5: Hands-on Python Projects

Lecture 35 Project 1: Countdown App

Lecture 36 Project 2: Spreadsheet Automation with Python

Lecture 37 Project 3: API Request to GitLab

Section 6: Wrap Up:

Lecture 38 Review of key concepts and further learning for continued Python development.