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# Best Python + AI Full Course | Learn Python + AI, Build Projects & Land Your First Job

**[YouTube](https://daily.dev/sources/youtube)** · 781 min read · 1 upvotes · 0 comments

## Summary

Want to learn Python from scratch and use it to build real-world AI projects?

All resources, links, code, diagrams, file here - https://github.com/mayank953/python-ai-crash-course.

00:00 Intro: Master Python + AI.
02:38 Why Do We Need Programming?
06:45 What Is Python & Where It's Used
11:10 Key Features of Python
14:22 Installing Python
16:18 Running Python in Terminal & IDLE
20:31 Anaconda & Jupyter Notebook Setup
29:18 Built-in Functions & print()
35:42 Python Modules (math, import)
38:20 Errors: Syntax vs Runtime
43:59 Identifiers & Naming Rules
51:57 Data Types & Integers
1:00:14 Float Data Type
1:03:13 Complex Numbers
1:06:20 Boolean Data Type
1:12:28 Strings Basics
1:19:04 String Indexing
1:23:35 Negative Indexing
1:27:35 String Concatenation & Repetition
1:33:40 String Slicing
1:50:14 Slicing with Step Value
2:01:13 Type Conversion: Implicit
2:07:12 Explicit Type Casting
2:15:50 Operators in Python: Overview
2:17:59 Arithmetic Operators
2:26:08 Relational Operators
2:43:46 Logical Operators
2:53:03 Assignment Operators
2:58:11 Identity Operators (is vs ==)
3:06:08 Operator Precedence & Associativity
3:13:46 String Formatting
3:25:07 Python f-Strings
3:28:43 Decision Control & if Statement
3:41:17 if-else Statement
3:47:03 elif Ladder
3:56:24 Nested if Statements
4:04:18 Conditionals: Practice Questions
4:19:50 while Loop
4:30:49 break Statement
4:37:52 continue Statement
4:45:36 pass Statement
4:48:36 for Loop
5:00:29 range() Function
5:15:08 for Loop with range()
5:20:55 Nested Loops
5:33:56 Intro to Data Structures
5:43:37 Lists in Python
5:54:24 List Operations
6:01:49 Built-in List Functions
6:14:35 List Methods
6:28:20 Copying Lists
6:33:38 List Comprehension
6:48:42 Tuples
7:18:01 Sets
7:28:17 Set Operations
7:48:58 Dictionaries
8:02:44 Dictionary Operations & Methods
8:19:30 Strings Revisited: ord() & chr()
8:26:41 String Methods
8:41:36 Defining Your Own Function
8:48:01 Return vs Void Functions
8:59:32 Functions: Core Concepts
9:10:11 Positional Arguments
9:13:32 Default Arguments
9:28:51 Variable-Length Arguments (*args)
9:33:05 Keyword Arguments (**kwargs)
9:40:20 Variable Scope: Local vs Global
9:56:08 Functions as First-Class Citizens
10:22:04 Lambda Functions
10:32:38 map() Function
10:37:07 filter() Function
10:43:06 reduce() Function
10:47:48 Python Wrap-Up & AI Section Intro
10:52:08 Large Language Models (LLMs)
10:58:07 Prompting
11:01:57 Temperature
11:07:43 AI Hallucination
11:12:19 Context Engineering
11:17:22 Tokens & Token Costs
11:26:22 Vectors & Embeddings
11:31:37 Context Window
11:39:49 Model Parameters
11:46:56 Attention Mechanism
11:52:46 Transformers
12:04:37 How LLMs Learn: Pretraining
12:08:10 Fine-Tuning
12:11:31 RLHF
12:16:08 RAG (Retrieval-Augmented Generation)
12:26:47 MCP (Model Context Protocol)
12:38:47 AI Agents
12:45:49 Multimodal AI
12:48:15 Reasoning Models
12:52:07 Small Language Models
12:54:10 AGI vs ASI
12:56:47 Recap: How It All Connects
12:59:03 Final Thoughts

#python  #pythoncourseforbeginners  #pythontutorial  #learnpython  #pythonforbeginners  #pythonfullcourse  #pythonprogramming #pythonai  #aiwithpython  #artificialintelligence  #machinelearning  #generativeai  #codingforbeginners  #programming  #pythonprojects  #aiengineering  #pythondeveloper  #techjobs 

Keywords
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## Full article

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