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