Learn Python Programming: A Working Introduction Guide for Python Programming and focuses on the programming language paradigm
- Length: 132 pages
- Edition: 1
- Language: English
- Publication Date: 2021-08-14
- ISBN-10: B09CNHBKGD
- Sales Rank: #0 (See Top 100 Books)
Learn Python Programming
A Working Introduction Guide for Python Programming and focuses on the programming language paradigm (process-oriented, object-oriented, function-oriented)
Taking Python as an example, this book not only introduces the basic concepts of programming but also focuses on the programming language paradigm (process-oriented, object-oriented, function-oriented), as well as the programming language paradigm in Python. This way, the reader not only learns Python but also will have an easier time learning about other programming languages in the future.
The appearance of computer hardware performance has developed by leaps and bounds. At the same time, programming languages have also undergone several changes, resulting in a variety of programming paradigms. Python, with its simplicity and flexibility, has made its way to software industries in spite of many programming languages. Throughout history, we have experienced not only the features of Python but also the main points that the language is meant to address.
Introduction Chapter 1: Python Why Should You Learn Computer Programming? Advantages of Modern Programming Why Did Python Emerge as a Winner Among a Lot of Other Computer Languages? What Is Python (and a Little Bit of History) Chapter 2: Importance of Python What Can You Do as a Python Programmer? Example Program to Just Get You a Good Overview of the Python Programming Python Reserved Words Chapter 3: How to Install Python Installation and Running of Python Official Version Installation Other Python Versions Virtualenv Chapter 4: The World of Variables Chapter 5: Data Types in Python Basic Data Types Tuples and Lists Dictionaries Chapter 6: Operators in Python Mathematical Operators String Comparison Operator Logical Operators Operator Precedence Chapter 7: Execution and Repetitive Tasks If Structure Stand Back If Nesting and Elif For Loop For Element in Sequence While Loop Skip or Abort Small Exercise to Review What We Learned Until Now Chapter 8: Functions and Modules What Are Functions? Defining Functions How to Call Functions? Function Documentation Parameter Passing Basic Pass Parameters Pass the Parcel Unwrap Recursion GAUSS and Mathematical Induction Proof of the Proposition Function Stack Scope of Variables inner_var() Introducing Modules Search Path Installation of Third-Party Modules Chapter 9: Reading and Writing Files in Python Storage Documents Context Manager Pickle Pack Chapter 10: Object-Oriented Programming Part 1 Classes Objects Successors Subclasses Attribute Overlay What You Missed Out on All Those Years List Objects Tuples and String Objects Chapter 11: Object-Oriented Programming Part 2 Operators Element References Just a Small Example for Dictionary Datatype Implementation of Built-In Functions Attribute Management Features _getatr_() method Dynamic Type Mutable and Immutable Objects Look at the Function Parameter Passing from the Dynamic Type Memory Management in Python 1. Reference Management 2. Garbage Collection Chapter 12: Exception Handling What Is a Bug? Debugging Exception Handling in Detail Chapter 13: Python Web Programming HTTP Communication Protocol http.client Package Conclusion
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