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Write clean, idiomatic Python code using functions, modules, and exception handling.
Design and implement object-oriented programs with classes, inheritance, and polymorphism.
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Automate real-world tasks, such as file processing, web scraping, and API integrations.
Unlock your coding potential! This comprehensive course takes you from beginner to Python expert.
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A Structured Introduction
A Quick Dip into the World of Code
Stepping into Python
About Python
What are the drawbacks?
Who’s Leveraging Python Today?
Setting Up Your Python
How to Run Python Scripts: From Tasks to Automation
Organizing Python Code: Modules, Packages, and Structure
Understanding Python’s Execution Model: Names, Namespaces, and Scope
Python Culture: More Than Just Code
A Quick Note on IDEs (and Why They Matter)
A Word About AI (And Why You Still Need to Learn to Code)
Summary
Introduction
The Power of Functions in Python
Understanding Function Input Parameters
Understanding Return Values in Python
Essential Tips for Writing Effective Functions
Understanding Recursive Functions
Exploring Anonymous Functions (Lambdas)
Understanding Function Attributes
Overview of Built-in Functions in Python
Writing Clear and Effective Code Documentation
Importing Functions and Objects in Python
Importing Functions and Objects in Python
A Final Example: Optimizing Prime Number Generation
Chapter Summary: Mastering Functions in Python
Introduction
Working with Collections: map(), zip(), and filter()
Comprehensions: Concise and Powerful Collection Handling in Python
Generators: Efficient and Elegant Iteration in Python
Performance Considerations: Balancing Readability, Speed, and Memory Usage
Avoid Overcomplicating Comprehensions and Generators
Name Localization in Comprehensions and Generator Expressions
Name Localization in Comprehensions and Generator Expressions
Generator-like Behavior in Python Built-ins
Final Example: Implementing the Fibonacci Sequence with Generators
Chapter Summary: Iteration, Comprehensions, and Generators in Python
Introduction
The Importance of Cryptography in Modern Technology
Hashlib: Cryptographic Hash Functions in Python
HMAC: Hash-Based Message Authentication Code
Secrets: Secure Random Numbers and Tokens
JSON Web Tokens (JWT): An Overview
Chapter Summary
Helpful References for Further Cryptography Exploration
Introduction
Understanding HTTP: The Foundation of Web Communication
Introduction to APIs: Understanding the Basics and Functionality
Building a Railway API: A Practical Introduction to CRUD Operations
What’s Next in API Design: Expanding Your Knowledge and Next Steps
Chapter Summary
Developing a CLI Client for the Railway API: A Hands-On Project
Introduction
Exploring PyPI: The Central Hub for Python Packages
Creating Python Packages with Setuptools
Building and Publishing Python Packages to PyPI
Tips for Starting and Structuring New Python Projects
Additional Configuration Files in Python Packaging Projects
Exploring Alternative Tools for Python Packaging
Recommended Resources for Deeper Learning on Python Packaging
Chapter Summary
