The Ultimate Python Guide: Learn Coding with Interactive Projects and an Ultra-Fast Framework
Abe Olsen
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Section 1.1: What is Python? 3
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Section 1.2: Installing Python 6
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Section 1.3: Basic Python Syntax 10
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Chapter 2: Functions and Control Flow 14
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Section 2.1: Defining and Calling Functions 14
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Section 2.2: Control Flow: If-Else Statements and Loops 19
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Chapter 3: Object-Oriented Programming in Python 24
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Section 3.1: Classes, Objects, and Methods 24
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Section 3.2: Inheritance and Polymorphism 28
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Chapter 4: Modules and Packages 34
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Section 4.1: Importing Modules and Packages 34
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Section 4.2: Writing Custom Modules and Packages 38
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Chapter 5: Data Analysis with Pandas and NumPy 43
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Section 5.1: Introduction to Pandas for Dataframes 43
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Section 5.2: Data Cleaning and Transformation with Pandas 47
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Chapter 6: Data Visualization with Matplotlib and Seaborn 52
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Section 6.1: Basic Plotting with Matplotlib 52
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Section 6.2: Advanced Plotting Techniques 57
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Chapter 7: Machine Learning with Scikit-Learn 62
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Section 7.1: Introduction to Machine Learning Concepts 62
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Section 7.2: Supervised Learning with Classifiers 67
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Chapter 8: Web Development with Django 72
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Section 8.1: Introduction to Django and MVC Framework 72
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Section 8.2: Building a Django Web Application 77
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Chapter 9: Database Management with SQLAlchemy 82
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Section 9.1: Introduction to SQLAlchemy for Databases 82
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Section 9.2: Interacting with Databases using SQLAlchemy 87
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Chapter 10: Cloud Computing with AWS 92
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Section 10.1: Introduction to AWS and Cloud Services 92
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Section 10.2: Deploying Python Applications on AWS 97
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Chapter 11: Advanced Python Topics 102
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Section 11.1: Multithreading and Concurrency 102
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Section 11.2: Asynchronous Programming with asyncio 107
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