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<!DOCTYPE html>
<html lang="en">
<head>
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<meta content="width=device-width, initial-scale=1.0" name="viewport">
<title>Learn Python with Jupyter</title>
<meta content="Learn Python with Jupyter. The book that develops computational thinking, explains syntax, and contains exercises. With free Jupyter Notebooks and a GitHub community" name="description">
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<h1>Learn Python with Jupyter</h1>
<p>The book <span class="typed" data-typed-items="developing computational thinking, explaining syntax, with plenty of exercises"></span></p>
<br>
<h5 >by <a href="https://sbonaretti.github.io/" target="_blank">Serena Bonaretti</a></h5>
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The aim of <strong>Learn Python with Jupyter</strong> is to help you develop <span class="orange_color">computational thinking</span>—that is, the way we think when coding–while learning <span class="orange_color">to code in Python</span>.
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<strong>Learn Python with Jupyter</strong> includes thirty‐eight chapters, each paired with a
<a href="#resume" style="text-decoration: underline;">Jupyter Notebook</a>
where you can play with the code explained in the text.
The code is embedded in <span class="orange_color">narrative</span> to provide context and support memorization, and it is enriched with suggestions for <span class="orange_color">code pronunciation</span>.
Chapters contain both <span class="orange_color">theory exercises</span>, to verify the understanding of concepts, and <span class="orange_color">coding exercises</span>, to learn by doing.
Exercise solutions are shared in the
<a href="#community" style="text-decoration: underline;">community forum</a>,
where you can ask questions and propose alternative approaches.
And at the end of each chapter, you will find <span class="orange_color">recaps</span>
and <span class="orange_color">“in more depth”</span> sections, with suggestions, tips, and curiosities.
<br>
<br>
<strong>Learn Python with Jupyter</strong> 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 <span class="orange_color">international students of various educational backgrounds</span>.
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Learn more about the book here:
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</section><!-- End Resume Section -->
<!---------------------------------------------------------------------------------->
<!------------------------------- DOWNLOAD NOTEBOOKS ------------------------------->
<!---------------------------------------------------------------------------------->
<!-- ======= RESUME SECTION ======= -->
<section id="resume" class="resume">
<div class="container" data-aos="fade-up">
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<h2>DOWNLOAD THE JUPYTER NOTEBOOKS</h2>
<p >
<br>
⬇️ Download the Jupyter Notebooks one by one below
<br>
⬇️<i class="fab fa-github"></i> Download all the Jupyter Notebooks at once <a href="https://github.com/LearnPythonWithJupyter/Notebooks" class="btn-preorder">here</a>
<br>
⬇️🇲🇽 Download the Jupyter Notebooks in <a href="https://github.com/incognia/Notebooks" class="btn-preorder">Español de México</a> (translation by <a href="https://incognia.github.io/" class="btn-preorder">Rodrigo Ernesto Álvarez Aguilera</a> and Nick Chomey)
<br>
✨NEW✨ Start coding right away at <a href="https://notebook.link/github/LearnPythonWithJupyter/Notebooks/tree/main/lab/">notebook.link</a> (no download required!)
<!-- one by one from below, or all of them at once <a href="https://github.com/LearnPythonWithJupyter/Notebooks" class="btn-preorder">here</a></p>
<p>You can also download the notebooks in <a href="https://github.com/incognia/Notebooks" class="btn-preorder">Español de México</a> (translation by <a href="https://incognia.github.io/" class="btn-preorder">Rodrigo Ernesto Álvarez Aguilera)</a> -->
</p>
</div>
<div class="row">
<!--Start column on the left-->
<div class="col-lg-6">
<h3 class="resume-title"></h3>
<!-- Part 1 -->
<div class="resume-item pb-0">
<h4>PART 1: Creating the basics</h4>
<ol start="1">
<a href="assets/notebooks/01_string_input_print.ipynb" onclick="download">
<li>Text, questions, and art <br>
<i>Strings, input(), and print()</i>
</li></a>
<a href="assets/notebooks/02_variables.ipynb" onclick="download">
<li>Registering to an event<br>
<i>Variables, assignment, and string concatenation</i>
</li></a>
</ol>
</div>
<!-- Part 2 -->
<div class="resume-item pb-0">
<h4>PART 2: Introduction to lists and if/else construct</h4>
<ol start="3">
<a href="assets/notebooks/03_list_if_in_else.ipynb" onclick="download">
<li>In a bookstore <br>
<i>Lists and if... in... / else...</i>
</li></a>
<a href="assets/notebooks/04_list_append_remove.ipynb" onclick="download">
<li>Grocery shopping <br>
<i>List methods: .append() and .remove()</i>
</li></a>
<a href="assets/notebooks/05_list_index_pop_insert.ipynb" onclick="download">
<li>Customizing the burger menu <br>
<i>List methods: .index(), .pop(), and .insert()</i>
</li></a>
<a href="assets/notebooks/06_list_slicing.ipynb" onclick="download">
<li>Traveling around the world <br>
<i>List slicing</i>
</li></a>
<a href="assets/notebooks/07_list_slicing_use.ipynb" onclick="download">
<li>Senses, planets, and a house <br>
<i>Changing, adding, and removing list elements using slicing</i>
</li></a>
</ol>
</div>
<!-- Part 3 -->
<div class="resume-item pb-0">
<h4>PART 3: Introduction to the for loop</h4>
<ol start="8">
<a href="assets/notebooks/08_for_range.ipynb" onclick="download">
<li>My friends' favorite dishes<br>
<i>for... in range()</i>
</li></a>
<a href="assets/notebooks/09_for_loop_if_equals.ipynb" onclick="download">
<li>At the zoo<br>
<i>For loop with if... == ... / else...</i>
</li></a>
<a href="assets/notebooks/10_for_search.ipynb" onclick="download">
<li>Where are my gloves?<br>
<i>For loop for searching</i>
</li></a>
<a href="assets/notebooks/11_for_change_list.ipynb" onclick="download">
<li>Cleaning the mailing list<br>
<i>For loop to change list elements</i>
</li></a>
<a href="assets/notebooks/12_for_create_list.ipynb" onclick="download">
<li>What a mess at the bookstore!<br>
<i>For loop to create new lists</i>
</li></a>
</ol>
</div>
<!-- Part 4 -->
<div class="resume-item pb-0">
<h4>PART 4: Numbers and algorithms</h4>
<ol start="13">
<a href="assets/notebooks/13_numbers.ipynb" onclick="download">
<li>Implementing a calculator<br>
<i>Integers, floats, and arithmetic operations</i>
</li></a>
<a href="assets/notebooks/14_list_of_numbers.ipynb" onclick="download">
<li>Playing with numbers<br>
<i>Common operations with lists of numbers</i>
</li></a>
<a href="assets/notebooks/15_random.ipynb" onclick="download">
<li>Fortune cookies<br>
<i>The Python module</i> random
</li></a>
<a href="assets/notebooks/16_intro_to_algos.ipynb" onclick="download">
<li>Rock paper scissors<br>
<i>Introduction to algorithms</i>
</li></a>
</ol>
</div>
<!-- Part 5 -->
<div class="resume-item pb-0">
<h4>PART 5: The while loop and conditions </h4>
<ol start="17">
<a href="assets/notebooks/17_while_loop.ipynb" onclick="download">
<li>Do you want more candies?<br>
<i>The while loop</i>
</li></a>
<a href="assets/notebooks/18_while_conditions.ipynb" onclick="download">
<li>Animals, unique numbers, and sum<br>
<i>Various kinds of conditions</i>
</li></a>
<a href="assets/notebooks/19_combining_conditions.ipynb" onclick="download">
<li>And, or, not, not in<br>
<i>Combining and reversing conditions</i>
</li></a>
<a href="assets/notebooks/20_booleans.ipynb" onclick="download">
<li>Behind the scenes of comparisons and conditions<br>
<i>Booleans</i>
</li></a>
</ol>
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<h4>PART 6: Overview of lists and the for loop</h4>
<ol start="21">
<a href="assets/notebooks/21_list_overview.ipynb" onclick="download">
<li>Overview of lists<br>
<i>Operations, methods, and tricks</i>
</li></a>
<a href="assets/notebooks/22_for_overview.ipynb" onclick="download" >
<li>Overview of the for loop<br>
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<a href="assets/notebooks/23_list_of_lists.ipynb" onclick="download" >
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<ol start="24">
<a href="assets/notebooks/24_dictionaries.ipynb" onclick="download" >
<li>Inventory at the English bookstore<br>
<i>Dictionaries</i>
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<a href="assets/notebooks/25_dictionary_list.ipynb" onclick="download" >
<li>Trip to Switzerland<br>
<i>Dictionaries with lists as values</i>
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<a href="assets/notebooks/26_dictionary_use.ipynb" onclick="download" >
<li>Counting, compressing, and sorting<br>
<i>What are dictionaries for?</i>
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<a href="assets/notebooks/27_strings_overview.ipynb" onclick="download" >
<li>Overview of strings<br>
<i>Operations, methods, and printing</i>
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<h4>PART 8: Functions </h4>
<ol start="28">
<a href="assets/notebooks/28_function_inputs.ipynb" onclick="download" >
<li>Printing thank you cards<br>
<i>Function inputs</i>
</li></a>
<a href="assets/notebooks/29_function_outputs.ipynb" onclick="download" >
<li>Login database for an online store<br>
<i>Function outputs and modular design</i>
</li></a>
<a href="assets/notebooks/30_function_io_extra.ipynb" onclick="download" >
<li>Free ticket at the museum<br>
<i>Input validation and output variations</i>
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<a href="assets/notebooks/31_recursion.ipynb" onclick="download" >
<li>Factorials<br>
<i>Recursive functions</i>
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<!-- <li>Jupyter notebooks and modules<br> <i>Working with Jupyter Notebook and an IDE</i></li> -->
<a href="assets/notebooks/32_modules.ipynb" onclick="download" >
<li>How can I reuse functions?<br>
<i>Working with Jupyter Notebooks and Python Modules</i></a><br>
(additional file: <a href="assets/notebooks/setup_database.py" onclick="download" >setup_database.py</a>)
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<!-- Part 9 -->
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<h4>PART 9: Last bits of basic Python </h4>
<ol start="33">
<a href="assets/notebooks/33_rw_txt_file.ipynb" onclick="download" >
<li>Birthday presents<br>
<i>Reading and writing text files</i></a><br>
(additional files: <a href="assets/notebooks/33_purchases.txt" onclick="download" >33_purchases.txt</a>, <a href="assets/notebooks/actors.txt" onclick="download" >actors.txt</a>)
</li>
<a href="assets/notebooks/34_python_more.ipynb" onclick="download" >
<li>What’s more in Python?<br>
<i>Additional types, keywords, built-in functions, and modules</i>
</li></a>
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<!-- Part 10 -->
<div class="resume-item pb-0">
<h4>PART 10: Object-oriented programming </h4>
<ol start="35">
<a href="assets/notebooks/35_classes_objects.ipynb" onclick="download" >
<li>Let's build an online store!<br>
<i>Classes and objects, attributes and methods</i>
</li></a>
<a href="assets/notebooks/36_encapsulation.ipynb" onclick="download" >
<li>36. Securing the online store<br>
<i>Encapsulation</i>
</li></a>
<a href="assets/notebooks/37_inheritance.ipynb" onclick="download" >
<li>How can I add a book sample?<br>
<i>Inheritance</i>
</li></a>
<a href="assets/notebooks/38_polymorphism.ipynb" onclick="download" >
<li>Customizing the coupon for electronics<br>
<i>Polymorphism</i>
</li></a>
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<li><i class="bi bi-chevron-right"></i> <a class="a-about" href="https://github.com/incognia/Juno">Juno | JupyterLab-Based STEM Learning Environment - By Rodrigo Ernesto Álvarez Aguilera</a><span> An immersive STEM learning environment for middle school students using JupyterLab, leveraging Docker Compose to orchestrate container deployments
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<li><i class="bi bi-chevron-right"></i> <a class="a-about" href="https://www.linkedin.com/feed/update/urn:li:activity:7139969588032655360/">Parul Pandey - LinkedIn blog post</a></li>
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<i class="bi bi-chevron-right"></i> <a class="a-about" href="https://stefanogatti.substack.com/p/laculturadeldato-068">La cultura del dato - #68</a>,
<a class="a-about" href=" https://stefanogatti.substack.com/p/laculturadeldato-075">#75</a>,
<a class="a-about" href=" https://stefanogatti.substack.com/p/laculturadeldato-196">#196</a>
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<li><i class="bi bi-chevron-right"></i> <a class="a-about" href="https://www.oreilly.com/radar/radar-trends-to-watch-june-2023/#:~:text=AI%2C%20and%20specifically%20large%20language,virtually%20every%20branch%20of%20technology.">Radar Trends to Watch: June 2023 (O'Reilly)</a></li>
<li><i class="bi bi-chevron-right"></i> <a class="a-about" href="https://pycoders.com/issues/576">PyCoder's Weekly - Issue 576</a></li>
<li><i class="bi bi-chevron-right"></i> <a class="a-about" href="https://astrojuanlu.substack.com/p/episodio-57">Noticiero Python y Datos - Episodio 57</a></li>
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Learn Python with Jupyter - PyData Milano
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Introducing the ORMIR community and the book “Learn Python with Jupyter” - Python Pizza Hamburg
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Introducing “Learn Python with Jupyter” - JupyterCon 2023
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Introducing “Learn Python with Jupyter” - Project Jupyter's blog
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