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

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. Cover Half Title Title Page Copyright Page Contents Preface Acknowledgments About the Author Chapter 1 Hello, World! 1.1 Introduction to Python 1.1.1 System Setup and Installation 1.2 Python in a REPL 1.2.1 Exercises 1.3 Python in a File 1.3.1 Exercise 1.4 Python in a Shell Script 1.4.1 Exercise 1.5 Python in a Web Browser 1.5.1 Deployment 1.5.2 Exercises Chapter 2 Strings 2.1 String Basics 2.1.1 Exercises 2.2 Concatenation and Interpolation 2.2.1 Formatted Strings 2.2.2 Raw Strings 2.2.3 Exercises 2.3 Printing 2.3.1 Exercises 2.4 Length, Booleans, and Control Flow 2.4.1 Combining and Inverting Booleans 2.4.2 Boolean Context 2.4.3 Exercises 2.5 Methods 2.5.1 Exercises 2.6 String Iteration 2.6.1 Exercises Chapter 3 Lists 3.1 Splitting 3.1.1 Exercises 3.2 List Access 3.2.1 Exercises 3.3 List Slicing 3.3.1 Exercises 3.4 More List Techniques 3.4.1 Element Inclusion 3.4.2 Sorting and Reversing 3.4.3 Appending and Popping 3.4.4 Undoing a Split 3.4.5 Exercises 3.5 List Iteration 3.5.1 Exercises 3.6 Tuples and Sets 3.6.1 Exercises Chapter 4 Other Native Objects 4.1 Math 4.1.1 More Advanced Operations 4.1.2 Math to String 4.1.3 Exercises 4.2 Times and Datetimes 4.2.1 Exercises 4.3 Regular Expressions 4.3.1 Splitting on Regexes 4.3.2 Exercises 4.4 Dictionaries 4.4.1 Dictionary Iteration 4.4.2 Merging Dictionaries 4.4.3 Exercises 4.5 Application: Unique Words 4.5.1 Exercises Chapter 5 Functions and Iterators 5.1 Function Definitions 5.1.1 First-Class Functions 5.1.2 Variable and Keyword Arguments 5.1.3 Exercises 5.2 Functions in a File 5.2.1 Exercise 5.3 Iterators 5.3.1 Generators 5.3.2 Exercises Chapter 6 Functional Programming 6.1 List Comprehensions 6.1.1 Exercise 6.2 List Comprehensions with Conditions 6.2.1 Exercise 6.3 Dictionary Comprehensions 6.3.1 Exercise 6.4 Generator and Set Comprehensions 6.4.1 Generator Comprehensions 6.4.2 Set Comprehensions 6.4.3 Exercise 6.5 Other Functional Techniques 6.5.1 Functional Programming and TDD 6.5.2 Exercise Chapter 7 Objects and Classes 7.1 Defining Classes 7.1.1 Exercises 7.2 CustomIterators 7.2.1 Exercise 7.3 Inheritance 7.3.1 Exercise 7.4 Derived Classes 7.4.1 Exercises Chapter 8 Testing and Test-Driven Development 8.1 Package Setup 8.1.1 Exercise 8.2 Initial Test Coverage 8.2.1 A Useful Passing Test 8.2.2 Pending Tests 8.2.3 Exercises 8.3 Red 8.3.1 Exercise 8.4 Green 8.4.1 Exercise 8.5 Refactor 8.5.1 Publishing the Python Package 8.5.2 Exercises Chapter 9 Shell Scripts 9.1 Reading from Files 9.1.1 Exercises 9.2 Reading from URLs 9.2.1 Exercises 9.3 DOM Manipulation at the Comm and Line 9.3.1 Exercises Chapter 10 A Live Web Application 10.1 Setup 10.1.1 Exercise 10.2 Site Pages 10.2.1 Exercises 10.3 Layouts 10.3.1 Exercises 10.4 Template Engine 10.4.1 Variable Titles 10.4.2 Site Navigation 10.4.3 Exercises 10.5 Palindrome Detector 10.5.1 Form Tests 10.5.2 Exercises 10.6 Conclusion Chapter 11 Data Science 11.1 Data Science Setup 11.2 Numerical Computations with NumPy 11.2.1 Arrays 11.2.2 Multidimensional Arrays 11.2.3 Constants, Functions, and Linear Spacing 11.2.4 Exercises 11.3 Data Visualization with Matplotlib 11.3.1 Plotting 11.3.2 Scatter Plots 11.3.3 Histograms 11.3.4 Exercises 11.4 Introduction to Data Analysis with pandas 11.4.1 Handcrafted Examples 11.4.2 Exercise 11.5 pandas Example: Nobel Laureates 11.5.1 Exercises 11.6 pandasExample:Titanic 11.6.1 Exercises 11.7 MachineLearningwithscikit-learn 11.7.1 LinearRegression 11.7.2 Machine-LearningModels 11.7.3 k-MeansClustering 11.7.4 Exercises 11.8 FurtherResourcesandConclusion Index A B C D E F G H I J K L M N O P R S T U V W X Y Z 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. 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 . . . 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.