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

Cover Page....2

About This eBook....3

Halftitle Page....5

Title Page....7

Copyright Page....8

Contents....10

Preface....16

Chapter by Chapter....16

Additional Features....18

Final Thoughts....18

Learn Enough Scholarships....18

Acknowledgments....20

About the Author....21

Chapter 1. Hello, World!....22

1.1 Introduction to Python....28

1.2 Python in a REPL....34

1.3 Python in a File....36

1.4 Python in a Shell Script....39

1.5 Python in a Web Browser....41

Chapter 2. Strings....61

2.1 String Basics....61

2.2 Concatenation and Interpolation....65

2.3 Printing....72

2.4 Length, Booleans, and Control Flow....74

2.5 Methods....87

2.6 String Iteration....94

Chapter 3. Lists....101

3.1 Splitting....101

3.2 List Access....104

3.3 List Slicing....106

3.4 More List Techniques....110

3.5 List Iteration....117

3.6 Tuples and Sets....121

Chapter 4. Other Native Objects....126

4.1 Math....126

4.2 Times and Datetimes....133

4.3 Regular Expressions....140

4.4 Dictionaries....148

4.5 Application: Unique Words....155

Chapter 5. Functions and Iterators....163

5.1 Function Definitions....163

5.2 Functions in a File....174

5.3 Iterators....184

Chapter 6. Functional Programming....195

6.1 List Comprehensions....196

6.2 List Comprehensions with Conditions....204

6.3 Dictionary Comprehensions....208

6.4 Generator and Set Comprehensions....212

6.5 Other Functional Techniques....214

Chapter 7. Objects and Classes....218

7.1 Defining Classes....218

7.2 Custom Iterators....226

7.3 Inheritance....230

7.4 Derived Classes....234

Chapter 8. Testing and Test-Driven Development....244

8.1 Package Setup....246

8.2 Initial Test Coverage....251

8.3 Red....264

8.4 Green....271

8.5 Refactor....277

Chapter 9. Shell Scripts....289

9.1 Reading from Files....289

9.2 Reading from URLs....300

9.3 DOM Manipulation at the Command Line....306

Chapter 10. A Live Web Application....319

10.1 Setup....320

10.2 Site Pages....328

10.3 Layouts....338

10.4 Template Engine....350

10.5 Palindrome Detector....365

10.6 Conclusion....394

Chapter 11. Data Science....396

11.1 Data Science Setup....397

11.2 Numerical Computations with NumPy....405

11.3 Data Visualization with Matplotlib....418

11.4 Introduction to Data Analysis with pandas....438

11.5 pandas Example: Nobel Laureates....446

11.6 pandas Example: Titanic....467

11.7 Machine Learning with scikit-learn....479

11.8 Further Resources and Conclusion....499

Index....501

Code Snippets....552

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.