Learn Python Programming
Second Edition
Second Edition
The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7
BIRMINGHAM - MUMBAI
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Foreword
- Contributors
- Preface
- A Gentle Introduction to Python
- A proper introduction
- Enter the Python
- About Python
- What are the drawbacks?
- Who is using Python today?
- Setting up the environment
- Installing Python
- How you can run a Python program
- How is Python code organized?
- Python's execution model
- Guidelines on how to write good code
- The Python culture
- A note on IDEs
- Summary
- Built-in Data Types
- Iterating and Making Decisions
- Functions, the Building Blocks of Code
- Why use functions?
- Scopes and name resolution
- Input parameters
- Return values
- A few useful tips
- Recursive functions
- Anonymous functions
- Function attributes
- Built-in functions
- One final example
- Documenting your code
- Importing objects
- Summary
- Saving Time and Memory
- OOP, Decorators, and Iterators
- Decorators
- Object-oriented programming (OOP)
- The simplest Python class
- Class and object namespaces
- Attribute shadowing
- Me, myself, and I – using the self variable
- Initializing an instance
- OOP is about code reuse
- Accessing a base class
- Multiple inheritance
- Class and static methods
- Private methods and name mangling
- The property decorator
- Operator overloading
- Polymorphism – a brief overview
- Data classes
- Writing a custom iterator
- Summary
- Files and Data Persistence
- Working with files and directories
- Data interchange formats
- IO, streams, and requests
- Persisting data on disk
- Summary
- Testing, Profiling, and Dealing with Exceptions
- Cryptography and Tokens
- Concurrent Execution
- Concurrency versus parallelism
- Threads and processes – an overview
- Concurrent execution in Python
- Case examples
- Summary
- Debugging and Troubleshooting
- GUIs and Scripts
- Data Science
- Web Development
- Other Books You May Enjoy
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