Unlocking Python - Mitchell, Ryan

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Résumé :

Part I: Programming

Chapter 1: Introduction to Programming 3

Programming as a Career 4

Myths About Programmers 4

How Computers Work 7

A Brief History of Modern Computing 12

The Unix Operating System 12

Modern Programming 13

Talking About Programming Languages 14

Problem-Solving as a Programmer 17

Chapter 2: Programming Tools 21

Shell 21

Version Control Systems 25

Authenticating with GitHub with SSH Keys 27

Integrated Development Environments 33

Web Browsers 34

Chapter 3: About Python 37

The Python Software Foundation 38

The Zen of Python 39

The Python Interpreter 40

The Python Standard Library 41

Third-Party Libraries 42

Versions and Development 43

Part II: Python

Chapter 4: Installing and Running Python 47

Installing Python 47

Windows 48

macOS 48

Linux 49

Installing and Using pip 50

Windows 51

macOS 51

Linux 51

Installing and Using Jupyter for IPython files 52

Virtual Environments 54

Anaconda 56

Chapter 5: Python Quickstart 59

Variables 59

Data Types 62

Operators 67

Arithmetic Operators 67

Operators and Assignments 69

Comparison Operators 70

Identity Operators 71

Boolean Operators 73

Membership Operators 73

Control Flow 74

If and Else 75

For 76

While 76

Functions 78

Classes 80

Everything Is an Object 82

Data Structures 82

Lists 83

Dictionaries 84

Tuples 86

Sets 86

Exercises 88

Chapter 6: Lists and Strings 91

String Operations 91

String Methods 92

List Operations 95

Slicing 97

List Comprehensions 100

Exercises 103

Chapter 7: Dictionaries, Sets, and Tuples 105

Dictionaries 105

Dictionary Comprehensions 108

Reducing to Dictionaries 110

Sets 112

Tuples 114

Exercises 116

Chapter 8: other Types of Objects 119

Other Numbers 119

Dates 124

Bytes 129

Exercises 132

Chapter 9: Iterables, Iterators, Generators, and Loops 135

Iterables and Iterators 135

Generators 137

Looping with Pass, Break, Else, and Continue 139

Assignment Expressions 143

Walrus Operators 143

Recursion 144

Exercises 148

Chapter 10: Functions 149

Positional Arguments and Keyword Arguments 149

Functions as First-Class Objects 155

Lambda Functions 158

Namespaces 160

Decorators 163

Exercises 168

Chapter 11: Classes 171

Static Methods and Attributes 173

Inheritance 175

Multiple Inheritance 178

Encapsulation 182

Polymorphism 186

Exercises 188

Chapter 12: Writing Cleaner Code 189

PEP 8 and Code Styles 189

Comments and Docstrings 190

Documentation 194

Linting 196

Formatting 199

Type Hints 200

Part III: Advanced Topics

Chapter 13: Errors and Exceptions 207

Handling Exceptions 207
Else and Finally 210

Raising Exceptions 212

Custom Exceptions 214

Exception Handling Patterns 217

Exercises 223

Chapter 14: Modules and Packages 225

Modules 225

Import This 228

Packages 229

Installing Packages 235

Exercises 240

Chapter 15: Working with Files 243

Reading Files 243

Writing Files 247

Binary Files 250

Bu...

Biographie:

RYAN MITCHELL is the author of Unlocking Python (Wiley), Web Scraping with Python (O'Reilly), and multiple courses on LinkedIn Learning including Python Essential Training. She holds a master's degree in software engineering from Harvard University Extension School and has worked as principal software engineer and data scientist on the search team at the Gerson Lehrman Group for the last six years....

Sommaire:

A fun and practical guide to learning Python with a special focus on data science, web scraping, and web applications

In Unlocking Python: A Comprehensive Guide for Beginners, veteran software engineer, educator, and author Ryan Mitchell delivers an intuitive, engaging, and practical roadmap to Python programming. The author walks you through the vocabulary, tools, foundational knowledge, and occasional pop-culture references you'll need to hone your skills with this popular programming language.

You'll learn how to install and run Python on your own machine, get up and coding with the language quickly, and best practices for programming both independently and in the workplace. You'll also find:

• Key concepts in computer and data science explained from the ground up
• Advanced Python topics such as logging, unit testing, multiprocessing, and interacting with databases.
• Introductions to some of Python's most popular third-party libraries: Flask, Django, Scrapy, Scikit-Learn, Numpy, and Pandas
• Amusing anecdotes from the trenches of industry

Perfect for tech-savvy professionals at any stage of their careers who are interested in diving into Python programming. Unlocking Python is also a must-read for readers who work in a technical role but are interested in getting more directly involved with programming, as well as non-Python programmers who want to apply their technical skill to a new language....