Learn Python with Jupyter

The book


by Serena Bonaretti


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About the Book

The aim of Learn Python with Jupyter is to help you develop computational thinking—that is, the way we think when coding–while learning to code in Python.

Learn Python with Jupyter includes thirty‐eight chapters, each paired with a Jupyter Notebook where you can play with the code explained in the text. The code is embedded in narrative to provide context and support memorization, and it is enriched with suggestions for code pronunciation. Chapters contain both theory exercises, to verify the understanding of concepts, and coding exercises, to learn by doing. Exercise solutions are shared in the community forum, where you can ask questions and propose alternative approaches. And at the end of each chapter, you will find recaps and “in more depth” sections, with suggestions, tips, and curiosities.

Learn Python with Jupyter is written in a simple and approachable style while remaining precise and detailed. Its content has been tested and refined over more than a thousand hours of one‐on‐one teaching with international students of various educational backgrounds.

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DOWNLOAD THE JUPYTER NOTEBOOKS

Get the Notebooks for the published chapters. You can download them one by one from below, or all of them at once here

You can also download the notebooks in Español de México (translation by Rodrigo Ernesto Álvarez Aguilera)

PART 1: Creating the basics

  1. Text, questions, and art
    strings, input(), and print()
    2.
  2. Events and favorites
    Variables and string concatenation
    3.

PART 2: Introduction to lists and if/else statements

  1. In a bookstore
    Lists and if... in... / else...
    2.
  2. Grocery shopping
    List methods: .append() and .remove()
    3.
  3. Customizing the burger menu
    List methods: .index(), .pop(), and .insert()
    4.
  4. Traveling around the world
    List slicing
    5.
  5. Senses, planets, and a house
    Changing, adding, and removing list elements using slicing
    6.

PART 3: Introduction to the for loop

  1. My friends' favorite dishes
    for... in range()
    2.
  2. At the zoo
    For loop with if... == ... / else
    3.
  3. Where are my gloves?
    For loop for searching
    4.
  4. Cleaning the mailing list
    For loop to change list elements
    5.
  5. What a mess at the bookstore!
    For loop to create new lists
    6.

PART 4: Numbers and algorithms

  1. Implementing a calculator
    Integers, floats, and arithmetic operations
    2.
  2. Playing with numbers
    Common operations with lists of numbers
    3.
  3. Fortune cookies
    The Python module random
    4.
  4. Rock paper scissors
    Introduction to algorithms
    5.

PART 5: The while loop and conditions

  1. Do you want more candies?
    The while loop
    2.
  2. Animals, unique numbers, and sums
    Various kinds of conditions
    3.
  3. And, or, not, not in
    Combining or reversing conditions
    4.
  4. Behind the scenes of comparisons and conditions
    Booleans
    5.

PART 6: Focus on lists and for loop

  1. Overview of lists
    Operations, methods, and tricks
    2.
  2. More about the for loop
    Various ways of repeating commands on lists and beyond
    3.
  3. Lists of lists
    Slicing, nested for loops, and flattening
    4.

PART 7: Dictionaries and overview of strings

  1. Inventory at the English bookstore
    Dictionaries
    2.
  2. Trip to Switzerland
    Dictionaries with lists as values
    3.
  3. Counting, compressing, and sorting
    What are dictionaries for?
    4.
  4. Overview of strings
    Operations, methods, and printing
    5.

PART 8: Functions

  1. Printing Thank you cards
    Function inputs
    2.
  2. Login database for an online store
    Function outputs and modular design
    3.
  3. Free ticket at the museum
    Input validation and output variations
    4.
  4. Factorials
    Recursive functions
    5.
  5. Jupyter notebooks and modules
    Working with Jupyter Notebook and an IDE
    (additional file: setup_database.py)

PART 9: Last bits of basic Python

  1. Birthday presents
    Reading and writing text files
    (additional files: 33_purchases.txt, actors.txt)
  2. What’s more in Python?
    Additional types, keywords, built-in functions, and modules
    3.

PART 10: Object oriented programming

  1. Let's build an online store!
    Classes and objects, attributes and methods
    2.
  2. 36. Securing the online store
    Encapsulation
    3.
  3. How can I add a book sample?
    Inheritance
    4.
  4. Customizing the coupon for electronics
    Polymorphism
    5.

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The Learn Python with Jupyter (LPWJ) community is a free space where you can find exercise solutions and ask questions
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DERIVED WORK, MENTIONS, AND BOOK PRESENTATIONS

Derived work using Learn Python with Jupyter, mentions, and book presentations

DERIVED WORK


MENTIONS


BOOK PRESENTATIONS