LibCoder

Python Made Easy: A Beginner's Guide to Coding, Data Structures, and Practical Applications

1C Agda Python
Python Made Easy: A Beginner's Guide to Coding, Data Structures, and Practical Applications
Автор: Gähler Marco
Дата выхода: 2026
Издательство: Apress Media, LLC.
Количество страниц: 135
Размер файла: 1,1 МБ
Тип файла: PDF
Добавил: LibCoder
Оглавление
Declarations....5 Contents....6 About the Author....10 About the Technical Reviewer....11 Introduction....12 1 About Python....14 The REPL....14 Advantages and Drawbacks of Python....16 Importing Libraries....16 Style Guides....17 Software Engineering Made Easy....18 The Zen of Python....18 2 Naming....20 Naming Rules....22 Naming Conventions....22 Writing Readable Names....23 3 Components of Code....25 Mutable and Immutable Objects....25 Assignments....26 Types....27 Variables....27 Global Variables....28 None....28 Numbers....29 Floating Point Numbers....29 Integers....30 Strings and Numbers....31 Booleans....31 Lists....32 Creating Lists....32 List Comprehensions....33 Accessing Lists....34 Accessing Sublists....36 Multidimensional Lists....37 Sorting lists....38 Merging Lists....39 How to Continue....39 Strings....40 Various Types of Strings....41 String Operations....42 Dicts....42 Tuples....44 Tuples vs. Lists....45 Enums....46 Rarely Used Data Structures....47 Sets....47 Exceptions....47 Try, Catch, Else, Finally....48 When to Use Exceptions....49 Pitfalls....49 Custom Exceptions....50 Code Structure....51 Coupling and Cohesion....52 4 Loops and If Statements....54 Loops....54 Nested Loops....55 If Statements....55 Nested If Statements....56 Boolean Logic....57 Return, Break, and Continue....57 Return....58 Break....58 Continue....58 5 Basic Mathematics....59 Basic Mathematics with Python....59 Arithmetic Operations....59 The Math Module....60 NumPy....61 Matrices....61 Images....62 Advanced Filtering....63 Random Numbers....65 Calculating Pi....66 6 Functions and Methods....67 Keyword Arguments....68 Default Arguments....69 args and kwargs....70 Function Overloading....71 Control Flow....72 Function Definition Order....72 Cyclic Dependencies....73 Recursion....73 Trees....74 7 Classes....76 Classes and Objects....78 Special Methods....79 Example....80 Inheritance....84 Implementation Inheritance....84 Interface Inheritance....86 Encapsulation....87 Abstraction....88 8 Python Modules and Packages....89 Modules and Imports....89 Regular Packages....89 Namespace Packages....90 Installing Packages with Pip....91 The Virtual Environment....92 9 Util....93 Files....93 CSV....93 JSON and Co....94 HDF5....95 SQL....95 Summary....96 CSV....96 JSON....96 HDF5....97 SQL....97 Time....97 Timing Functions....97 10 Unit Tests....99 Why Tests?....99 How to Write Tests....100 What to Test....102 Test-Driven Development....102 Example of TDD....103 Dependency Injection....105 Mocking....109 Faking....109 11 Matplotlib....110 Simple Plots....110 Labeling....112 Histograms....112 Curve Fitting....113 Local Minima of Curve Fitting....115 12 Pandas....116 Pandas Example....116 13 Numerical Mathematics....122 Numerical Integration....123 Mathematical Derivation....123 Geometric Interpretation....124 Higher Order Integration....125 Estimating the Accuracy....126 Monte Carlo Integration....126 Numerical Solution of Differential Equations....127 Differential Equations....127 Coupled Differential Equations....129 14 Some Examples....131 Percolation....131

Описание

Коротко и по делу о том, что важно знать про python.

Python Made Easy is designed to help beginner developers easily learn the fundamentals and intermediate concepts of Python. Python has become one of the most versatile and widely used programming languages, known for its simplicity and efficiency. This book provides a structured approach to learning Python, covering essential topics from basic syntax to complex data structures and numerical computing.

It then delves into key programming concepts, including variables, lists, strings, dictionaries, tuples, and rare data structures, helping readers build a strong foundation. The book starts with an introduction to Python, explaining its advantages, drawbacks, and the importance of style guides. Readers will also explore loops, conditional statements, Boolean logic, essential mathematical operations, and NumPy's use for numerical computations. Additionally, the book introduces practical applications in numerical mathematics, including Monte Carlo integration and differential equations. Complex topics such as object-oriented programming, inheritance, file handling, unit testing, and data visualization using Matplotlib are covered in depth.

By the end, readers will have an understanding of Python’s core principles and practical applications, empowering them to write efficient, scalable, and well-structured code. This book is particularly helpful if you already know some other programming language and you want to kick start your Python knowledge.

What you will learn:Understand Python fundamentals, including variables, loops, and data structures.What is object-oriented programming, inheritance, and file handling.Explore numerical computing with NumPy and data visualization using Matplotlib.Gain hands-on experience with unit testing, Monte Carlo integration, and real-world applications.Who this book is for:Beginners and aspiring programmers, software professionals transitioning to Python and students

На этом основные моменты по теме закрыты.

python data programming book structures applications numerical practical

Частые вопросы

Можно ли скачать «Python Made Easy: A Beginner's Guide to Coding, Data Structures, and Practical Applications» бесплатно?

Да, «Python Made Easy: A Beginner's Guide to Coding, Data Structures, and Practical Applications» доступна для бесплатного скачивания на нашем сайте в формате PDF. Ссылка на файл находится на этой странице.

В каком формате и какого размера файл?

Книга предоставляется в формате PDF, размер файла 1,1 МБ.

Кто автор и когда вышла книга?

автор — Gähler Marco, издательство Apress Media, LLC., год выпуска 2026, 135 страниц.

О чём книга «Python Made Easy: A Beginner's Guide to Coding, Data Structures, and Practical Applications»?

Python has become one of the most versatile and widely used programming languages, known for its simplicity and efficiency.

Похожие материалы