The Real Python Podcast

Have you wanted to work with RSS feeds in Python? Maybe you’re looking for a new project to build for your portfolio that uses Django, unit tests, and custom commands. This week on the show, we have Real Python author Ricky White to talk about his recent step-by-step project titled, “Build a Content Aggregator in Python.” Ricky has been authoring the Real Python interview series for several years and was formerly our Community Manager. He talks about what inspired him to create this project and the Python technology and libraries to build it. He also shares advice about adding tests to personal portfolio projects. We start the show by discussing Python’s GIL (Global Interpreter Lock) and the efforts to potentially remove it in future versions of Python. This change could make a significant impact on Python code running on multi-core processors. We talk about two recent articles covering the developments. Course Spotlight: Get Started With Django: Build a Portfolio App In this course, you’ll learn the basics of creating powerful web applications with Django, a Python web framework. You’ll build a portfolio website to showcase your web development projects, complete with a fully functioning blog. Topics: 00:00:00 – Introduction 00:02:07 – Citizenship 00:03:52 – Ricky’s Real Python interviews 00:05:55 – Upcoming interview with Eric Wastl about Advent of Code 00:08:05 – Notes From the Meeting On Python GIL Removal 00:18:41 – Sponsor: Cloudsmith 00:19:26 – Build a Content Aggregator in Python 00:20:28 – Django background 00:23:37 – What web technologies were you using before Python? 00:25:07 – What motivated the project? 00:26:46 – Technical hurdles 00:30:52 – Including tests in a portfolio project 00:32:56 – Django custom commands 00:37:02 – Video Course Spotlight 00:38:16 – RSS Feeds - Really Simple Syndication and Podcasts 00:42:16 – Working with django-apscheduler 00:47:06 – Taking the project further and CSS frameworks 00:51:04 – What are you excited about in the world of Python? 00:53:58 – What do you want to learn next? 00:55:52 – Shoutouts and social connections 00:56:57 – Thanks and goodbye Show Links: About Ricky White – Real Python Build a Content Aggregator in Python: Real Python project-based tutorial About - Advent of Code 2021 A viable solution for Python concurrency: LWN.net Notes From the Meeting On Python GIL Removal Between Python Core and Sam Gross What Is the Python Global Interpreter Lock (GIL)? – Real Python nogil: Python Multithreading without GIL Walk AS One What is Ankylosing Spondylitis? Spondy News Writing custom django-admin commands | Django documentation django-apscheduler - A Django app that adds a lightweight wrapper around APScheduler RabbitMQ - Messaging that just works RSS: Really Simple Syndication- Wikipedia Flipboard - Stories from 28,875 topics personalized for you NetNewsWire: Free and Open Source RSS Reader for Mac and iOS Welcome to Feedly Bootstrap - The most popular HTML, CSS, and JS library in the world Tailwind CSS - Rapidly build modern websites without ever leaving your HTML Python Software Foundation News: 2021 End of the year fundraiser! Structural Pattern Matching Python 3.10: Cool New Features for You to Try Ricky’s Twitter- (@endlesstrax) Endlesstrax: Ricky’s Website Level up your Python skills with our expert-led courses: Getting Started With Django: Building a Portfolio App Test-Driven Development With pytest How to Set Up a Django Project Support the podcast & join our community of Pythonistas

Do you remember the One Laptop Per Child program? What went wrong, and what can we learn from the program’s failure? What are the potential pitfalls of charismatic technology, and how can we avoid them when introducing students to programming? This week on the show, former guest Al Sweigart and author Morgan Ames are here to talk about her book “The Charisma Machine - The Life, Death, and Legacy of One Laptop per Child.” We discuss the OLPC program and how idealized visions of our programming backgrounds can become traps. Morgan explains how these utopian visions are still used to attempt to disrupt education. Along with this cautionary tale, we also talk about educational programs that are working and how entry points to programming are changing. Course Spotlight: Using Pandas to Make a Gradebook in Python With this course and Python project, you’ll build a script to calculate grades for a class using pandas. The script will quickly and accurately calculate grades from a variety of data sources. You’ll see examples of loading, merging, and saving data with pandas, as well as plotting some summary statistics. Topics: 00:00:00 – Introduction 00:02:13 – Morgan’s background 00:02:58 – Computer Science and Information Science 00:04:46 – Early introduction of computers to schools 00:08:25 – What was the One Laptop Per Child (OLPC) Program? 00:12:32 – Turtle art and Scratch 00:16:34 – Sponsor: CData Software 00:17:15 – What is the global south? 00:19:12 – How does charisma apply to objects and technology? 00:28:30 – Python language design and Learn to Code 00:34:53 – Media technology scares and the self taught coder 00:40:35 – Video Course Spotlight 00:41:41 – Technically precocious boys and exclusion of others 00:43:47 – Minecraft and technology maintenance skills 00:49:08 – Skewed utopian visions and lack of ongoing support 00:52:54 – Shifting feminine vs masculine perceived roles in computing 01:02:41 – Changing entry points for programming 01:09:00 – The why of “learn to code” and empowerment 01:13:13 – Metaverse, nostalgia, and dystopia 01:14:45 – The Diamond Age and Code Hero Kickstarter 01:16:53 – Avoiding future charismatic traps 01:18:28 – Shoutouts and social connections 01:21:04 – Thanks and goodbyes Show Links: Morgan G. Ames: Personal Website The Charisma Machine: The Life, Death, and Legacy of One Laptop per Child Al Sweigart: Personal Website The OLPC Wiki Logo History: Logo Foundation Seymour Papert: Wikipedia article Mitchel Resnick - LEGO Papert Professor of Learning Research at the MIT Media Lab Sounding Out with the OLPC XO: Linux Journal Scratch: The world’s largest free coding community for kids VR Will Make Life Better—Or Just Be an Opiate for the Masses The Perils of Using Technology to Solve Other People’s Problems Gender & Computing - Nathan Ensmenger Disruptive Fixation: School Reform and the Pitfalls of Techno-Idealism Connected Learning Lab: Research Themes STEM vs. STEAM: Why One Letter Matters Black Girls CODE Code Hero: A Game That Teaches You To Make Games Chasing Innovation: The Limits of Entrepreneurship - Online talk Turkopticon helps the people in the ‘crowd’ of crowdsourcing watch out for each other—because nobody else seems to be. Morgan G. Ames: Twitter profile Invent With Python: Learn to Program Level up your Python skills with our expert-led courses: Using pandas to Make a Gradebook in Python Command Line Interfaces in Python Grow Your Python Portfolio With 13 Intermediate Project Ideas Support the podcast & join our community of Pythonistas

Are you getting the most out of the Django framework? It’s a powerful web framework if you’re not interested in reinventing the wheel. Django includes a useful template system with inheritance for composing reusable HTML. This week on the show, we have previous guest and Real Python author Christopher Trudeau to talk about his recent articles and courses about Django. Christopher explains how Django templates help you avoid rewriting large portions of HTML for your web applications. His first article covers the built-in tags and filters provided by the framework. The second one dives into how customize and implement your own filters and tags. Christopher also talks about his process for choosing topics for articles and courses. We start the episode by covering a recent article by CPython Developer in Residence, Łukasz Langa. We talked in a previous episode about his plan to study where all the Python core developer activity goes. He’s gathered several years of GitHub data, and we discuss the post. Course Spotlight: Building With Django REST Framework This course will get you ready to build with Django REST Framework. The Django REST framework (DRF) is a toolkit built on top of the Django web framework that reduces the amount of code you need to write to create REST interfaces. Topics: 00:00:00 – Introduction 00:02:03 – Where does all the effort go? Looking at Python core developer activity 00:07:23 – Notes From the Meeting On Python GIL Removal Between Python Core and Sam Gross 00:08:36 – Django background 00:11:28 Flask vs Django 00:14:37 – Django Templates: Built-In Tags and Filters 00:25:26 – Sponsor: Cloudsmith 00:26:12 – Django Templates: Implementing Custom Tags and Filters 00:32:54 – Django Rest Framework - video course 00:42:09 – Video Course Spotlight 00:43:16 – What goes into picking an article to turn into a course? 00:53:18 – What are you excited about in the world of Python? 00:57:00 – Support Django development by donating to the Django Software Foundation 01:00:55 – Thanks and goodbye Show Links: About Christopher Trudeau: Real Python Page arSensa: Christopher’s personal website Where does all the effort go? Looking at Python core developer activity Episode 82: Welcoming the CPython Developer in Residence Notes From the Meeting On Python GIL Removal Between Python Core and Sam Gross nogil: Python Multithreading without GIL Django Templates: Built-In Tags and Filters - Real Python Article Django Templates: Implementing Custom Tags and Filters - Real Python Article Django: The web framework for perfectionists with deadlines Asciimatics: A cross-platform package to replace curses and create ASCII animations Asciimatics: GitHub Repo Support Django development by donating to the Django Software Foundation Level up your Python skills with our expert-led courses: Building HTTP APIs With Django REST Framework Django View Authorization: Restricting Access Getting Started With Django: Building a Portfolio App Support the podcast & join our community of Pythonistas

Have you wanted to generate PDFs from your Python project? Many of the current libraries require designing the document down at the pixel level. Would you be interested in a tool that lets you specify the page layout while it handles the specific details of laying out the text? This week on the show, we talk with Joris Schellekens about his library for creating and manipulating PDFs named borb. borb is a pure Python library that can read, write and manipulate PDFs. You can use it to build fillable forms, invoices with attached data files, and multiple column document layouts. We discuss the extensive example repository Joris has created for the library. Joris shares his background in working with PDFs. He talks about starting the project and the challenges he had to overcome. We also talk about licensing and maintaining an open-source library. Course Spotlight: Writing Idiomatic Python What are the programming idioms unique to Python? This course is a short overview for people coming from other languages and an introduction for beginners to the idiomatic practices within Python. You’ll cover truth values, looping, DRY principles, and the Zen of Python. Topics: 00:00:00 – Introduction 00:01:58 – Articles about borb 00:03:25 – History of the project 00:07:26 – Background in PDFs and Postscript 00:09:18 – Signatures and other challenges of working in PDFs 00:11:33 – Reading from PDFs and standards of versions 00:14:54 – Features of the library and creating documents 00:18:25 – Creating layout features 00:20:42 – How are fonts handled in borb? 00:21:19 – Sponsor: Cloudsmith 00:22:04 – Why use JSON across the library? 00:22:55 – Embedding data and files within a PDF 00:25:12 – What features were crucial for you to include in borb? 00:28:48 – Why creating a separate examples repository? 00:31:04 – Article series about borb 00:32:25 – Writing a book about borb 00:33:44 – Python 3.10 and borb 00:34:19 – Video Course Spotlight 00:35:39 – Licensing borb and AGPL 00:45:14 – Other open-source projects and Stack Overflow answers 00:46:37 – Working with forms in borb 00:47:55 – Additional tools for working with PDFs 00:50:15 – Different users of the library 00:53:36 – Thoughts on the future of PDFs 00:58:10 – What are you excited about in the world of Python? 00:58:40 – What do you want to learn next? 01:00:25 – Social connection info 01:00:46 – Thanks and goodbye Show Links: borb: A Python PDF library borb Examples Repository Creating a PDF Document in Python with borb Creating PDF Invoices in Python with borb Creating a Form in a PDF Document in Python With borb iText PDF ISO 32000 (PDF): the family of ISO standards that defines the core PDF specification XRechnung update: What you should know about electronic invoices to the German public sector! XRechnung: Standard format for German authorities from 2020 AGPL: Affero General Public License - Wikipedia Ghostscript: Interpreter for the PostScript language and for PDF veraPDF: Industry Supported PDF/A Validation Okular: The Universal Document Viewer Keras and Tensorflow: Getting Started Level up your Python skills with our expert-led courses: How to Work With a PDF in Python Documenting Code in Python Writing Idiomatic Python Support the podcast & join our community of Pythonistas

Are you interested in sharing your Python project with the broader world? Would you like to make it easily installable using pip? How do you create Python packages that share your code in a scalable and maintainable way? This week on the show, Real Python author and former guest Dane Hillard returns to talk about his new book, “Publishing Python Packages.” Dane shares his research into creating Python packages. We talk about the tools, techniques, and potential pitfalls of publishing your packages. Dane also discusses his experiences unraveling projects and determining dependencies. We also talk about Dane’s recent conference talk at PyGotham titled “Keeping code safe and modern with semantic searches.” He shares some security tools and practices. Course Spotlight: Documenting Python Code: A Complete Guide This course will get you up to speed with how to document your Python code. Documenting your code is an important step to help developers and users fully understand its usage and purpose. Topics: 00:00:00 – Introduction 00:01:57 – PyGotham Talk: Keeping code safe and modern with semantic searches 00:06:24 – What was the driving reason for starting Publishing Pyhton Packages? 00:08:54 – What is CookieCutter? 00:11:53 – The book as a research project 00:15:20 – Sponsor: CData Software 00:16:01 – What is a package? 00:18:56 – What is a published package? 00:25:37 – What other experiences made you want to write this book? 00:28:05 – Where to start? 00:33:26 – Balance of examples and explanation 00:40:49 – Cohesion and studying the relationships between sections of code 00:46:19 – Documentation and tools like Sphinx 00:50:18 – Video Course Spotlight 00:51:30 – What were you most excited to share in the book? 00:54:06 – Additional resources for packaging 00:57:17 – What are you excited about in the world of Python? 00:57:53 – What do you want to learn next? 00:59:30 – Shout outs and plugs 01:00:28 – Thanks and goodbye Show Links: About Dane Hillard Publishing Python Packages - Manning Early Access Program (MEAP) Episode 49: The Challenges of Developing Into a Python Professional Keeping code safe and modern with semantic searches - Dane Hillard Semgrep: Static analysis at ludicrous speed SonarSource: Code Quality & Code Security Snyk: Find and automatically fix vulnerabilities in your code CookieCutter: Better Project Templates Obsidian: A powerful knowledge base on top of a local folder of plain text Markdown files The Python Package Index (PyPI): A repository of software for the Python programming language PIP: The package installer for Python Graphviz -Open source graph visualization software cibuildwheel - Builds and tests your wheels across all of your platforms Sphinx: A tool that makes it easy to create intelligent and beautiful documentation Documenting Python Code: A Complete Guide - Real Python Article Python Packaging User Guide - Python Packaging Authority How to Publish an Open-Source Python Package to PyPI - Real Python Article What Are Python Wheels and Why Should You Care? - Real Python Article PEP 517 – A build-system independent format for source trees PEP 518 – Specifying Minimum Build System Requirements for Python Projects PEP 440 – Version Identification and Dependency Specification Episode 29: Resolving Package Dependencies With the New Version of Pip Episode 80: Make Your Python App Interactive With a Text User Interface (TUI) - With Will McGugan Webpack - Module Federation PyGotham 2021 Publishing Python Packages - Manning Early Access Program (MEAP) Level up your Python skills with our expert-led courses: Using Pygame to Build an Asteroids Game in Python Cool New Features in Python 3.10 Documenting Code in Python Support the podcast & join our community of Pythonistas

Earlier this year, the Python Software Foundation announced the creation of the Developer in Residence role. The first Visionary Sponsors of the PSF have provided funding for this new role for one year. What development responsibilities does this job address? This week on the show, we talk to previous guest Łukasz Langa about becoming the first CPython Developer in Residence. We talk about how the first months in this role are shaping up. Łukasz discusses the need to address the backlog of open issues and pull requests. He also talks about how he is working to help the project’s volunteers move their contributions forward. We cover his PyCon 2021 talk about generating real-time FM audio synthesis in Python. He also shares his experience developing a similar synthesis engine for an embedded hardware project. Course Spotlight: Speech Recognition With Python In this course, you’ll cover the fundamentals of speech recognition with Python. You’ll learn which speech recognition library gives the best results and build a full-featured “Guess The Word” game with it. Topics: 00:00:00 – Introduction 00:01:51 – PyCon 2021 talk 00:20:54 – CPython Developer in Residence: Why did you want the role? 00:29:23 – Sponsor: DataStax Astra DB 00:29:55 – What were the expected responsibilities of the role? 00:35:47 – Working through BPO issues and GitHub pull requests 00:42:14 – Moving to migrate the systems 00:51:10 – Video Course Spotlight 00:52:26 – What trends can you see currently? 00:57:28 – Do you feel the amount of activity is increasing due to the role being in place? 01:03:46 – What skills would you look for in a person in this role? 01:07:26 – If there was a team of people how would things be different? 01:11:00 – How to follow along with the journey? 01:13:35 – Gathering and sharing data about the process 01:18:45 – What are you excited about in the world of Python? 01:25:04 – What do you want to learn next? 01:26:41 – Shout outs and plugs 01:31:36 – Thanks and goodbye Show Links: Generate buzz with realtime FM audio synthesis: PyCon 2021 Talk - YouTube Limited Edition Medusa Black: Polyend I am the new CPython Developer in Residence Weekly Report, October 4 - 10: Łukasz Langa’s Blog Meet the Python Developer in Residence: Lukasz Langa - Talk Python Podcast Argument Clinic How-To: Python docs PEP 594 – Removing dead batteries from the standard library Datasette: An open source multi-tool for exploring and publishing data Episode 80: Make Your Python App Interactive With a Text User Interface (TUI) Why I’m working on Open Source full time: Will McGugan Level up your Python skills with our expert-led courses: Cool New Features in Python 3.10 Documenting Python Projects With Sphinx and Read The Docs - Archived Speech Recognition With Python Support the podcast & join our community of Pythonistas

Python 3.10 is here! This week on the show, two former guests and Real Python authors return to talk about the new version. Geir Arne Hjelle’s article was posted to the site Monday, and it’s titled “Python 3.10: Cool New Features for You to Try”. Christopher Trudeau’s video course came out on Tuesday, and it covers the topics from the article with multiple visual examples of Python 3.10 code. Geir Arne and Christopher worked together to create code examples of the new features used in both. We talk about more user-friendly error messages, structural pattern matching, enhancements to Python’s type system, and much more. Geir Arne and Christopher not only cover the new features but they offer advice about ways you might incorporate them into your code. We also discuss what you should think about before running the new version for your projects. Course Spotlight: Cool New Features in Python 3.10 In this course, you’ll explore some of the coolest and most useful features in Python 3.10. You’ll appreciate more user-friendly error messages, learn about how you can handle complicated data structures with structural pattern matching, and explore new enhancements to Python’s type system. Topics: 00:00:00 – Introduction 00:02:20 – Better Error Messages 00:07:14 – Structural Pattern Matching 00:14:14 – Sponsor: Snyk 00:14:55 – Type Unions, Aliases, and Guards 00:22:34 – Future Annotations 00:26:46 – Stricter Zipping of Sequences 00:28:30 – New Functions in the statistics Module 00:31:46 – Video Course Spotlight 00:32:50 – Asynchronous Iteration 00:38:59 – Default Text Encodings 00:41:33 – Context Manager Syntax 00:43:19 – Modern and Secure SSL 00:45:10 – Should you upgrade now? 00:49:59 – How to Detect Python 3.10 at Runtime 00:53:07 – Thanks and goodbye Show Links: About Geir Arne Hjelle: Real Python Team Profile About Christopher Trudeau: Real Python Team Profile Python 3.10: Cool New Features for You to Try: Real Python Article Cool New Features in Python 3.10: Real Python Video Course Python 3.10.0 Released: python.org Better error messages: What’s New docs.python.org PEP 634: Structural Pattern Matching - Specification PEP 635: Structural Pattern Matching - Motivation and Rationale PEP 636: Structural Pattern Matching - Tutorial PEP 604: Allow writing union types as X | Y PEP 613: Explicit Type Aliases PEP 647: User-Defined Type Guards PEP 612: Parameter Specification Variables Using the Python zip() Function for Parallel Iteration: Real Python Article statistics — Mathematical statistics functions: docs.python.org PEP 525: Asynchronous Generators Context Managers and Python’s with Statement: Real Python Article Run Python Versions in Docker: How to Try the Latest Python Release: Real Python Article Level up your Python skills with our expert-led courses: Hands-On Python 3 Concurrency With the asyncio Module Cool New Features in Python 3.10 Cool New Features in Python 3.9 Support the podcast & join our community of Pythonistas

Have you wanted to create a Python application that goes further than a command-line interface? You would like it to have a friendly interface but don’t want to make a GUI (Graphical User Interface) or web application. Maybe a TUI (Text User Interface)would be a perfect fit for the project. This week on the show, we have Will McGugan to talk about his projects Textual and Rich. Rich is a Python library for writing rich text to the terminal with color and style. It’s a great tool if you want to display advanced content such as tables, markdown, and syntax-highlighted code. We talk about how Will started on the project and how it’s developed over the years. We also talk about Will’s new project Textual, a TUI using much of Rich at its core. He shares how the project is coming along and what are challenges in developing this type of application. We discuss how a TUI has more in common with CSS and web development than command line or graphical interfaces. We also have a quick announcement at the top of the show from CPython Developer in Residence Łukasz Langa about next week’s release of Python 3.10. Course Spotlight: Rock, Paper, Scissors With Python: A Command Line Game In this course, you’ll learn to program rock paper scissors in Python from scratch. You’ll learn how to take in user input, make the computer choose a random action, determine a winner, and split your code into functions. Topics: 00:00:00 – Introduction 00:02:08 – Python 3.10 Release Party - Announcement 00:03:32 – Will McGugan and the background of the Rich library 00:10:11 – Moya framework 00:21:38 – Sponsor: DataStax Astra DB 00:22:10 – The spark that started Textual 00:26:31 – Needing AsyncIO for a TUI 00:28:07 – Describing a TUI (Text User Interface) 00:33:57 – Scrolling, resizing, and similarities with CSS 00:36:37 – Video Course Spotlight 00:38:03 – What areas were difficult in developing Textual? 00:39:42 – Similarities to game development 00:41:47 – Testing across different terminals 00:45:01 – What were you excited to include in the project? 00:47:04 – Are there particular uses you foresee for Textual? 00:49:21 – Career changes and open source reviewing 00:54:21 – Version numbers and Textual 00:55:49 – What are you excited about in the world of Python? 00:58:27 – What do you want to learn next? 01:00:57 – Shoutouts and plugs 01:01:47 – Thanks and goodbye Show Links Will McGugan’s Blog Will McGugan’s GitHub Rich Documentation The Python Rich Package: Unleash the Power of Console Text Pygments: Python Syntax Highlighter object.__repr__ (self): Python docs Regular Expressions: Regexes in Python (Part 1) - Real Python Moya: Open source web development platform built with Python Building Rich terminal dashboards: Will’s blog Textual: A TUI (Text User Interface) framework for Python inspired by modern web development The 2021 Python Language Summit: Making CPython Faster Episode 69: Planning a Faster Future at the Python Language Summit Python 3.10 Release Party Announcement Łukasz Langa’s twitter: Developer in Residence Pablo Galindo Salgado’s twitter: Python 3.10 and 3.11 release manager Will McGugan’s Twitter Why I’m working on Open Source full time Level up your Python skills with our expert-led courses: Grow Your Python Portfolio With 13 Intermediate Project Ideas Command Line Interfaces in Python Rock, Paper, Scissors With Python: A Command Line Game Support the podcast & join our community of Pythonistas

Where are you along the path of learning Python? Do you feel like you’re making progress? What are ways you can put the learning path into a more precise focus? This week on the show, we talk with previous guest Martin Breuss about his recent article “How Long Does It Take to Learn Python?” Martin discusses methods for measuring your progress and the various reasons for learning the language. We talk about how different backgrounds will affect your approach. We also suggest resources to help you on your path. We share a couple of recent Python projects to round out the episode. The first is a library to draw stylized maps from OpenStreetMap data. The other is a framework for the analysis and visualization of trees, which includes a set of phylogenomic tools. Course Spotlight: Using the Python return Statement Effectively In this step-by-step course, you’ll learn how to use the Python return statement when writing functions. Additionally, you’ll cover some good programming practices related to the use of return. With this knowledge, you’ll be able to write readable, robust, and maintainable functions in Python. Topics: 00:00:00 – Introduction 00:01:44 – Real Python Core Team Member 00:03:13 – How long does it take to learn Python? 00:03:40 – Why did you want to explore this topic? 00:05:05 – Python backgrounds Martin and Christopher 00:16:39 – What area excited you? 00:19:38 – Sponsor: Rev AI 00:20:16 – What are other areas that define, why Python? 00:23:30 – Keeping the scope narrower 00:24:48 – Measuring your progress 00:32:49 – Video Course Spotlight 00:34:12 – Effective mentorship 00:39:02 – Using search engines 00:43:07 – The journey of learning Python 00:48:38 – Programming challenges and practicing 00:49:40 – pretty maps - Minimal Python library to draw customized maps 00:52:02 – ETE Toolkit - Python environment for tree exploration 00:54:30 – Thanks and goodbye Show Links: About Martin Breuss: Real Python Team How Long Does It Take to Learn Python? Four stages of competence: Wikipedia Article The Basic Python Syntax: Links to Real Python Resources BTW these large scary math symbols are just for-loops Measuring the “Filter Bubble”: How Google is influencing what you click What does Google know about me? Ace Your Python Coding Interview: Real Python Learning Path CodingBat: Coding Practice Episode 4: Learning Python Through Errors Episode 48: Stochastic Gradient Descent and Deploying Your Python Scripts on the Web Projects: pretty maps: A minimal Python library to draw customized maps from OpenStreetMap data ETE Toolkit: A Python framework for the analysis and visualization of trees NCBI: National Center for Biotechnology Information ete-ncbiquery: Fast and handy queries to the NCBI taxonomy database Level up your Python skills with our expert-led courses: Using the Python return Statement Effectively Graph Your Data With Python and ggplot How to Set Up a Django Project Support the podcast & join our community of Pythonistas

Are you a visual learner? Does it help to have programming concepts shared with concrete examples and images? Would you like to see if your child might be interested in programming? This week on the show, we talk with author Shari Eskenas about her books, “A Day in Code - Python: Learn to Code in Python Through an Illustrated Story” and “Learn Python Through Nursery Rhymes & Fairy Tales.” We talk about the books and what inspired her to bring programming to picture books. Shari discusses her goal of providing a fun way for beginners to experience learning to code. Shari is also an electrical engineer with multiple patents and the founder of Sundae Electronics. We talk briefly about SoundBrake, which is an audio device that alerts headphone users to outside sounds. Shari’s programming background is primarily in C, and we cover her path to Python. We also discuss how she is using Python and the Raspberry Pi to prototype new projects. Course Spotlight: Reading and Writing Files With Pandas In this course, you’ll learn about the Pandas IO tools API and how you can use it to read and write files. You’ll use the Pandas read_csv() function to work with CSV files. You’ll also cover similar methods for efficiently working with Excel, CSV, JSON, HTML, SQL, pickle, and big data files. Topics: 00:00:00 – Introduction 00:02:05 – A Day in Code Books 00:05:32 – Showing Python classes and object oriented concepts 00:08:02 – What Python concepts did you want to cover in the book? 00:09:17 – Translating the book and concepts from C to Python 00:11:04 – Reception of the book 00:12:10 – Using real objects and names in code 00:14:05 – Sponsor: DataStax Astra DB 00:14:38 – Learn Python Through Nursery Rhymes & Fairy Tales 00:20:25 – Sundae Electronics and SoundBrake 00:26:47 – Video Course Spotlight 00:27:57 – Prototyping with Python and Raspberry Pi 00:38:19 – When did you start to learn Python? 00:39:31 – Real Python community 00:41:33 – How do you see yourself using Python in the future? 00:43:39 – What are you excited about in the world of Python? 00:45:02 – What do you want to learn next? 00:45:51 – Shout outs and plugs: Kickstarter campaign 00:46:40 – Social media connections 00:47:08 – Thanks and goodbye Show Links: A Day in Code - Python: Learn to code in Python through an illustrated story A Day in Code: An illustrated story written in the C programming language Learn Python through Nursery Rhymes & Fairy Tales: Kickstarter Sundae Electronics Raspberry Pi Computers and Microcontrollers Raspberry Pi Remote Access CircuitPython: The Easiest Way to Program Microcontrollers Real Python Community Level up your Python skills with our expert-led courses: Reading and Writing Files With pandas Getting Started With MicroPython Python Basics: Setting Up Python Support the podcast & join our community of Pythonistas