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  • Book Overview & Buying Learn Python Programming
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Learn Python Programming

Learn Python Programming - Fourth Edition

By : Fabrizio Romano, Heinrich Kruger
3.7 (3)
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Learn Python Programming

Learn Python Programming

3.7 (3)
By: Fabrizio Romano, Heinrich Kruger
Buy this Book

Overview of this book

Learn Python Programming, Fourth Edition, provides a comprehensive, up-to-date introduction to Python programming, covering fundamental concepts and practical applications. This edition has been meticulously updated to include the latest features from Python versions 3.9 to 3.12, new chapters on type hinting and CLI applications, and updated examples reflecting modern Python web development practices. This Python book empowers you to take ownership of writing your software and become independent in fetching the resources you need. By the end of this book, you will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. This Python book offers a clear and practical guide to mastering Python and applying it effectively in various domains, such as data science, web development, and automation.
Table of Contents (21 chapters)
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Preface
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Preface
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1
A Gentle Introduction to Python
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A Gentle Introduction to Python
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A brief introduction to programming
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Enter the Python
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About Python
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What are the drawbacks?
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Who is using Python today?
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Setting up the environment
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How to run a Python program
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How is Python code organized?
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Python’s execution model
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Guidelines for writing good code
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Python culture
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A note on IDEs
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A word about AI
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Summary
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2
Built-In Data Types
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Built-In Data Types
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Everything is an object
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Mutability
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Numbers
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Immutable sequences
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Mutable sequences
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Set types
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Mapping types: dictionaries
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Data types
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Final considerations
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Summary
3
Conditionals and Iteration
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Conditionals and Iteration
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Conditional programming
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Looping
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Assignment expressions
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Putting all this together
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A quick peek at the itertools module
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Summary
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4
Functions, the Building Blocks of Code
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Functions, the Building Blocks of Code
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Why use functions?
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Scopes and name resolution
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Input parameters
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Return values
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A few useful tips
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Recursive functions
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Anonymous functions
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Function attributes
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Built-in functions
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Documenting your code
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Importing objects
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One final example
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Summary
5
Comprehensions and Generators
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Comprehensions and Generators
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The map, zip, and filter functions
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Comprehensions
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Generators
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Some performance considerations
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Do not overdo comprehensions and generators
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Name localization
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Generation behavior in built-ins
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One last example
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Summary
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6
OOP, Decorators, and Iterators
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OOP, Decorators, and Iterators
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Decorators
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OOP
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Writing a custom iterator
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Summary
7
Exceptions and Context Managers
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Exceptions and Context Managers
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Exceptions
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Context managers
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Summary
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8
Files and Data Persistence
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Files and Data Persistence
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Working with files and directories
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Data interchange formats
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I/O, streams, and requests
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Persisting data on disk
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Configuration files
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Summary
9
Cryptography and Tokens
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Cryptography and Tokens
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The need for cryptography
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Hashlib
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HMAC
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Secrets
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JSON Web Tokens
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Useful references
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Summary
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10
Testing
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Testing
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Testing your application
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Test-driven development
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Summary
11
Debugging and Profiling
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Debugging and Profiling
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Debugging techniques
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Troubleshooting guidelines
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Profiling Python
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Summary
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12
Introduction to Type Hinting
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Introduction to Type Hinting
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Python approach to types
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History of type hinting
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Benefits of type hinting
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Type annotations
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The Mypy static type checker
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Some useful resources
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Summary
13
Data Science in Brief
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Data Science in Brief
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IPython and Jupyter Notebook
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Dealing with data
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Where do we go from here?
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Summary
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14
Introduction to API Development
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Introduction to API Development
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The Hypertext Transfer Protocol
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APIs – An introduction
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The railway API
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Where do we go from here?
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Summary
15
CLI Applications
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CLI Applications
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Command-line arguments
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Building a CLI client for the railway API
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Other resources and tools
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Summary
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16
Packaging Python Applications
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Packaging Python Applications
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The Python Package Index
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Packaging with Setuptools
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Building and publishing packages
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Advice for starting new projects
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Other files
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Alternative tools
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Further reading
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Summary
17
Programming Challenges
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Programming Challenges
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Advent of Code
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Final considerations
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Other programming challenge websites
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Summary
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18
Unlock Your Exclusive Benefits
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Unlock Your Exclusive Benefits
19
Other Books You May Enjoy
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Other Books You May Enjoy
20
Index
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Index

Debugging and Profiling

”If debugging is the process of removing software bugs, then programming must be the process of putting them in.”

– Edsger W. Dijkstra

In the life of a professional coder, debugging and troubleshooting take up a significant amount of time. All but the most trivial software is guaranteed to have bugs. Humans are not perfect; we make mistakes. Therefore, the code we produce is also not perfect. As developers, we spend a large portion of our time reading code that was written by other people. In our opinion, a good software developer is someone who keeps an eye out for potential bugs, even when they are reading code that is not reported to be wrong or buggy.

Being able to debug code efficiently and quickly is a skill that every coder needs to keep improving. Like testing, debugging is a skill that is best learned through experience. There are guidelines you can follow, but there is no book that will teach you everything...

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Programming languages
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Learn Python Programming
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