Python for Everybody: Full University-Level Python Course (Step-by-Step Guide) Part 1

Master Python with this comprehensive university-level course, designed for everybody—whether you’re a complete beginner or looking to sharpen your programming skills.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Why Program?
⌨️ (0:12:21) Why Program? - Hardware Architecture
⌨️ (0:24:24) Python 3 Windows Installation
⌨️ (0:32:34) Python 3 Mac Installation
⌨️ (0:36:41) Why Program? - Python as a Language
⌨️ (0:44:17) Why Program? - What do we say?

⌨️ (0:56:55) Variables, Expressions, and Statements
⌨️ (1:06:20) Variables, Expressions, and Statements - Expressions

⌨️ (1:26:00) Conditional Execution
⌨️ (1:39:13) Conditional Execution - More Conditional Structures

⌨️ (1:52:48) Functions
⌨️ (2:03:02) Functions - Functions of our own

⌨️ (2:15:21) Loops and Iteration
⌨️ (2:25:04) Loops and Iteration - Definite Loops
⌨️ (2:31:40) Loops and Iteration - Loop Idioms
⌨️ (2:40:07) Loops and Iteration - More Loop Patterns

⌨️ (2:58:39) Strings
⌨️ (3:09:06) Strings - More String Operations

⌨️ (3:27:33) Reading Files
⌨️ (3:35:12) Reading Files - Reading Files in Python

⌨️ (3:48:42) Python Lists
⌨️ (3:59:27) Python Lists - Loop Operations
⌨️ (4:08:52) Python Lists - Strings vs. Lists
⌨️ (4:16:42) Python Lists - Strings, Files, Lists & the Guardian Pattern

⌨️ (4:28:44) Dictionaries
⌨️ (4:36:32) Dictionaries - Counting
⌨️ (4:45:43) Dictionaries - Counting Words in Text
⌨️ (4:58:21) Dictionaries - Counting Word Frequency Using a Dictionary

⌨️ (5:22:46) Tuples
⌨️ (5:32:18) Tuples - Sorting
⌨️ (5:44:26) Tuples - Sorting a Dictionary Using Tuples

⌨️ (5:54:56) Regular Expressions
⌨️ (6:05:21) Regular Expressions - From Matching to Extracting
⌨️ (6:13:47) Regular Expressions - String Parsing

⌨️ (6:22:17) Networked Programs
⌨️ (6:29:45) Networked Programs - Application Protocols
⌨️ (6:38:56) Networked Programs - Write a Web Browser
⌨️ (6:48:58) Networked Programs - Characters and Strings
⌨️ (6:59:57) Networked Programs - urllib
⌨️ (7:08:25) Networked Programs - Parsing HTML

⌨️ (7:23:43) Using Web Services
⌨️ (7:26:35) Using Web Services - XML
⌨️ (7:37:40) Using Web Services - XML Schema
⌨️ (7:51:32) Using Web Services - JavaScipt Notation
⌨️ (8:03:08) Using Web Services - Service Oriented Approach
⌨️ (8:04:44) Using Web Services - Web Services
⌨️ (8:18:49) Using Web Services - API Security & Rate Limiting

⌨️ (8:48:01) Python Objects
⌨️ (8:58:28) Python Objects - Sample Code
⌨️ (9:06:50) Python Objects - Object Lifecycle
⌨️ (9:13:19) Python Objects - Inheritance

💡 What You’ll Learn:
✅ Python basics: syntax, loops, and functions
✅ Data structures: lists, dictionaries, and tuples
✅ File handling and working with data
✅ APIs, web scraping, and real-world projects
✅ BONUS: Key insights into coding best practices

This free full Python course is perfect for aspiring data scientists, software developers, or anyone looking to break into tech. With clear explanations and hands-on exercises, you’ll gain the skills to confidently tackle Python projects by the end of this video!

🚀 Don’t wait—start your Python journey today! Hit LIKE, SUBSCRIBE, and join millions of learners worldwide leveling up their coding skills.

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Title of the Video: Python for Everybody - Full University Python Course

License: Licensed under Creative Commons Attribution 4.0 International License