Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python

Length: 448 pages
Edition: 1
Language: English
Publisher: Addison-Wesley Professional
Publication Date: 2023-07-17
ISBN-10: 0138050953
ISBN-13: 9780138050955
Sales Rank: #5835519 (See Top 100 Books)

All You Need to Know, and Nothing You Don’t, to Solve Real Problems with Python

Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don’t need to learn “everything” to get started, just how to use it efficiently to solve real problems. In Learn Enough Python to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive.

Even if you’ve never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Hartl introduces Python both as a general-purpose language and as a specialist tool for web development and data science, presenting focused examples and exercises that help you internalize what matters, without wasting time on details pros don’t care about. Soon, it’ll be like you were born knowing this stuff–and you’ll be suddenly, seriously dangerous.

Learn enough about . . .

Applying core Python concepts with the interactive interpreter and command line
Writing object-oriented code with Python’s native objects
Developing and publishing self-contained Python packages
Using elegant, powerful functional programming techniques, including Python comprehensions
Building new objects, and extending them via Test-Driven Development (TDD)
Leveraging Python’s exceptional shell scripting capabilities
Creating and deploying a full web app, using routes, layouts, templates, and forms
Getting started with data-science tools for numerical computations, data visualization, data analysis, and machine learning
Mastering concrete and informal skills every developer needs

Michael Hartl’s Learn Enough Series includes books and video courses that focus on the most important parts of each subject, so you don’t have to learn everything to get started–you just have to learn enough to be dangerous and solve technical problems yourself.

Like this book? Don’t miss Michael Hartl’s companion video tutorial, Learn Enough Python to Be Dangerous LiveLessons.

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Cover Page
Title Page
Contents at a Glance
Contents
Preface
    Chapter by Chapter
    Additional Features
    Final Thoughts
    Learn Enough Scholarships
Acknowledgments
About the Author
Chapter 1. Hello, World!
    1.1 Introduction to Python
    1.2 Python in a REPL
    1.3 Python in a File
    1.4 Python in a Shell Script
    1.5 Python in a Web Browser
Chapter 2. Strings
    2.1 String Basics
    2.2 Concatenation and Interpolation
    2.3 Printing
    2.4 Length, Booleans, and Control Flow
    2.5 Methods
    2.6 String Iteration
Chapter 3. Lists
    3.1 Splitting
    3.2 List Access
    3.3 List Slicing
    3.4 More List Techniques
    3.5 List Iteration
    3.6 Tuples and Sets
Chapter 4. Other Native Objects
    4.1 Math
    4.2 Times and Datetimes
    4.3 Regular Expressions
    4.4 Dictionaries
    4.5 Application: Unique Words
Chapter 5. Functions and Iterators
    5.1 Function Definitions
    5.2 Functions in a File
    5.3 Iterators
Chapter 6. Functional Programming
    6.1 List Comprehensions
    6.2 List Comprehensions with Conditions
    6.3 Dictionary Comprehensions
    6.4 Generator and Set Comprehensions
    6.5 Other Functional Techniques
Chapter 7. Objects and Classes
    7.1 Defining Classes
    7.2 Custom Iterators
    7.3 Inheritance
    7.4 Derived Classes
Chapter 8. Testing and Test-Driven Development
    8.1 Package Setup
    8.2 Initial Test Coverage
    8.3 Red
    8.4 Green
    8.5 Refactor
Chapter 9. Shell Scripts
    9.1 Reading from Files
    9.2 Reading from URLs
    9.3 DOM Manipulation at the Command Line
Chapter 10. A Live Web Application
    10.1 Setup
    10.2 Site Pages
    10.3 Layouts
    10.4 Template Engine
    10.5 Palindrome Detector
    10.6 Conclusion
Chapter 11. Data Science
    11.1 Data Science Setup
    11.2 Numerical Computations with NumPy
    11.3 Data Visualization with Matplotlib
    11.4 Introduction to Data Analysis with pandas
    11.5 pandas Example: Nobel Laureates
    11.6 pandas Example: Titanic
    11.7 Machine Learning with scikit-learn
    11.8 Further Resources and Conclusion