The Real Python Podcast

What are the new ways to describe your data in pandas 2.0? Will the addition of Apache Arrow to the data back end foster the growth of data interoperability? This week on the show, we talk with pandas core developer Marc Garcia about the release of pandas 2.0. Marc shares his background and work on pandas. We discuss the history of data representation in pandas and the need to move beyond NumPy. We also talk about how Apache Arrow only solves some of the issues. We dig into the potential of an Apache Arrow back end and how it could offer interoperability between data platforms. We also cover the moderate adoption and backward-compatibility concerns. Marc also shares his thoughts on making pandas more extensible. Course Spotlight: The pandas DataFrame: Working With Data Efficiently In this course, you’ll get started with pandas DataFrames, which are powerful and widely used two-dimensional data structures. You’ll learn how to perform basic operations with data, handle missing values, work with time-series data, and visualize data from a pandas DataFrame. Topics: 00:00:00 – Introduction 00:02:07 – Getting involved with the pandas project 00:03:48 – Continued growth of the platform 00:06:49 – Parallel branch development 00:09:19 – The introduction of Apache Arrow 00:18:53 – Working with NumPy data in pandas 00:30:18 – Arrow data types and strings 00:41:23 – Video Course Spotlight 00:42:37 – Interoperability of Arrow data back end 00:50:36 – Could pandas be more extensible? 01:00:49 – Python DataFrame Summit 2023 01:08:12 – What are you excited about in the world of Python? 01:11:13 – What do you want to learn next? 01:12:12 – How can people follow your work online? 01:13:46 – Thanks and Goodbye Show Links: Marc Garcia - datapythonista - data engineer, data scientist and pandas core developer pandas 2.0 and the Arrow revolution (part I) The pandas of the future - Marc Garcia - SciPyLA 2019 - TubEdu The deadly consequences of rounding errors - Slate Community Blog - pandas - Python Data Analysis Library Apache Arrow - Apache Arrow Apache Arrow and the “10 Things I Hate About pandas” - Wes McKinney I/O Extensions in pandas - PDEP-9 Extension Arrays for Pandas - Tom’s Blog Python Dataframe Summit 2023 Rust Programming Language Freediving - Wikipedia Marc Garcia - LinkedIn Marc Garcia (@datapythonista) - X Level up your Python skills with our expert-led courses: Reading and Writing Files With pandas Explore Your Dataset With pandas The pandas DataFrame: Working With Data Efficiently Support the podcast & join our community of Pythonistas

What are all the different versions of Python? You may have heard of Cython, Brython, PyPy, or others and wondered where they fit into the Python landscape. This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder’s Weekly articles and projects. Christopher shares an article from the Bite Code blog about all the different forms that Python can take. CPython is the reference implementation of the language, which is what we usually discuss. He lists several alternative projects and the use cases. We also discuss a recent Real Python tutorial about IPython. IPython is an interactive Python shell from the team that developed Jupyter Notebooks. It includes a set of IDE-like features and unique magic commands. The tutorial digs into using the tool to learn more about Python and explore your code. We cover several other articles and projects from the Python community, including several news updates, the state of WASI support for CPython, how Python uses garbage collection, a discussion about the current AI echo chamber, an async Python web microframework, a stand-alone CSV editor, and a project for identifying unused dependencies to avoid a bloated virtual environment. This week’s episode is brought to you by Scout APM. Course Spotlight: Mazes in Python Part 1: Building and Visualizing In this two-part video course project, you’ll build a maze solver in Python using graph algorithms from the NetworkX library. Along the way, you’ll design a binary file format for the maze, represent it in an object-oriented way, and visualize the solution using scalable vector graphics (SVG). Topics: 00:00:00 – Introduction 00:02:19 – Python 3.12.0 Beta 4 Released 00:02:53 – Django in Action - Christopher’s Book 00:04:28 – State of WASI Support for CPython: June 2023 00:08:32 – What’s the Deal With CPython, PyPy, MicroPython, Jython…? 00:12:10 – Sponsor: Scout APM 00:12:57 – Unlock IPython’s Magical Toolbox for Your Coding Journey 00:18:33 – How Python Uses Garbage Collection 00:21:31 – Video Course Spotlight 00:23:04 – Are People in Tech Inside an AI Echo Chamber? 00:39:39 – quart: An Async Python Web Microframework 00:41:33 – Modern CSV: CSV Editor/Viewer 00:43:09 – creosote: Identify Unused Dependencies 00:45:09 – Thanks and Goodbye News: Python 3.12.0 Beta 4 Released Django in Action - Christopher’s Book - Manning Early Access Program Show Links: State of WASI Support for CPython: June 2023 – This post from Brett Cannon covers the current state of WebAssembly targets in Python. What’s the Deal With CPython, PyPy, MicroPython, Jython…? – This comprehensive article introduces you to all the different ways that you can Python. CPython isn’t the only choice. Learn what else is out there and why you might choose an alternative. Unlock IPython’s Magical Toolbox for Your Coding Journey – IPython is a powerful tool that can prove useful on your journey to mastering Python. Its friendly interface will enable you to comfortably take control of your learning. In this tutorial, you’ll cover the basic concepts of using IPython and learn how its features can make coding efficient. How Python Uses Garbage Collection – This article outlines how Python stores variables as references and how that relates to memory management Discussion: Are People in Tech Inside an AI Echo Chamber? Inside the AI Factory: the humans that make tech seem human - The Verge Is ChatGPT getting worse over time? Study claims yes, but others aren’t sure | Ars Technica How Is ChatGPT’s Behavior Changing over Time? Projects: quart: An Async Python Web Microframework Modern CSV: CSV Editor/Viewer creosote: Identify unused dependencies and avoid a bloated virtual environment Additional Links: Episode #154: Targeting WebAssembly Platforms & Distilling a Minimum Viable Python – The Real Python Podcast IPython 8.14.0 documentation Level up your Python skills with our expert-led courses: Mazes in Python Part 2: Storing and Solving Python Basics: Object-Oriented Programming Mazes in Python: Build, Visualize, Store, and Solve Support the podcast & join our community of Pythonistas

Are you getting the most out of your Postgres database? What features could you leverage to improve your Python project? This week on the show, Craig Kerstiens from Crunchy Data is here to discuss getting the most out of Postgres. Craig shares his years of PostgreSQL expertise with advice on getting more from the platform. We talk about rich data types for describing ranges, geospatial data, and JSON. Craig shares tools for accessing performance statistics from the command line and strategies for optimizing your terminal settings for SQL searches. He discusses Postgres extensions for customizing the database to your needs. Craig also provides multiple resources for learning more and an online tool for practicing within a playground environment. Course Spotlight: Creating Web Maps From Your Data With Python Folium You’ll learn how to create web maps from data using Folium. The package combines Python’s data-wrangling strengths with the data-visualization power of the JavaScript library Leaflet. In this video course, you’ll create and style a choropleth world map showing the ecological footprint per country. Topics: 00:00:00 – Introduction 00:02:36 – What are reasons for considering Postgres? 00:07:41 – Timeline of recent features 00:11:06 – Unique data types 00:16:34 – Storing JSON information 00:20:19 – Video Course Spotlight 00:21:50 – Storing geographic information 00:25:16 – What’s the process for adding extensions? 00:31:33 – Advice for Python developers using Postgres 00:33:31 – Advice on writing SQL 00:38:06 – Command-line tools and customizations 00:48:18 – Django as an entry to Python 00:51:13 – Resources for learning and practicing with Postgres 00:53:45 – What are you excited about in the world of Python? 00:55:55 – What do you want to learn next? 00:58:34 – How can people follow your work online? 00:59:20 – Thanks and goodbye Show Links: Craig Kerstiens - Blog Trusted Open Source PostgreSQL & Commercial Support for the Enterprise - Crunchy Data Why Postgres? - Crunchy Data Why Postgres - Craig Kerstiens - YouTube A hands on experience with complex SQL - Craig Kerstiens - YouTube Ingres (database) - Wikipedia PostgreSQL specific model fields - Django documentation Psqlrc - PostgreSQL wiki The most useful Postgres extension - pg_stat_statements High-compression Metrics Storage with Postgres Hyperloglog Postgres Playground and Tutorials - Crunchy Data PostgreSQL Blog - Crunchy Data It’s at least once a week I talk with someone that “loves Postgres” but isn’t sure why… Craig Kerstiens on Twitter: The Wok Book: Recipes and Techniques by J. Kenji Lopez-Alt Level up your Python skills with our expert-led courses: Creating Web Maps From Your Data With Python Folium Deploying a Flask Application Using Heroku SQLite and SQLAlchemy in Python: Moving Your Data Beyond Flat Files Support the podcast & join our community of Pythonistas

What principles should you consider when designing a Python library? How do you construct a library API that’s understandable and easy to use? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder’s Weekly articles and projects. We share an article about building library APIs. The piece provides advice for package structure, naming, error handling, and more. The author guides you toward Pythonic principles by comparing clunky vs elegant design examples. Christopher discusses his recent video course on Jinja templating. The course covers creating text files with programmatic content and employing rich templates to structure the front end of Python web applications. We cover several other articles and projects from the Python community, including several news updates, reasons why membership tests are fast for the range() function, CLI tools hidden in the Python standard library, a thread about the right way to install Python, recipes for using the Polars library, and a project for feature flags within Django. This week’s episode is brought to you by Snyk. Course Spotlight: Jinja Templating With Jinja, you can build rich templates that power the front end of your web applications. But you can use Jinja without a web framework running in the background. Anytime you want to create text files with programmatic content, Jinja can help you out. Topics: 00:00:00 – Introduction 00:02:16 – PyLadies Conference (Dec 2023) Call for Volunteers 00:02:32 – PSF Board Election Results 00:03:47 – PSF Announces New Security Developer in Residence 00:04:39 – Django Security Releases Issued 00:04:50 – Deprecation of bdist_egg Uploads to PyPI 00:05:54 – Why Are Membership Tests So Fast for range() in Python? 00:11:51 – CLI Tools Hidden in the Python Standard Library 00:15:59 – Sponsor: Snyk 00:16:49 – Designing Pythonic Library APIs 00:28:27 – Jinja Templating 00:32:49 – Kill a Developer in 4 Words or Less 00:37:28 – Video Course Spotlight 00:38:51 – What is “the right way” to install Python on a new M2 MacBook? 00:44:11 – polars-cookbook: Recipes for Using Python’s Polars Library 00:46:48 – waffle: Feature Flags for Django 00:49:54 – Thanks and goodbye News: PyLadies Conference (Dec 2023) Call for Volunteers PSF Board Election Results PSF Announces New Security Developer in Residence I Am the First PSF Security Developer-in-Residence – Seth was recently hired as the first security developer in residence at the PSF. His blog post talks about what his responsibilities are and how he defines success for the position. Deputy CPython Developer in Residence - Python Software Foundation - Career Page Django Security Releases Issued: 4.2.3, 4.1.10, and 3.2.20 Deprecation of bdist_egg Uploads to PyPI – PEP 715 has been accepted and as of August 1, 2023, the .egg format will no longer be accepted as an upload. Existing eggs on PyPI will remain in place. Show Links: Why Are Membership Tests So Fast for range() in Python? – In Python, range() is most commonly used in for loops. However, ranges have some other use cases too, as they share many properties with lists. In this tutorial, you’ll explore why it’s so fast to perform a membership test on a Python range. CLI Tools Hidden in the Python Standard Library – There are several modules in Python that are directly callable from the command line, including the ability to gzip and pretty-print JSON. This article introduces you to what options are available and how Simon discovered them. Designing Pythonic Library APIs – This article summarizes principles that Ben has found useful when designing Python library APIs. Topics include structure, naming, error handling, and type annotations. Jinja Templating – With Jinja, you can build rich templates that power the front end of your web applications. But you can use Jinja without a web framework running in the background. Anytime you want to create text files with programmatic content, Jinja can help you out. Discussion: Kill a Developer in 4 Words or Less - Twitter What is “the right way” to install Python on a new M2 MacBook? - Twitter Projects: polars-cookbook: Recipes for Using Python’s Polars Library waffle: Feature Flags for Django Additional Links: PSF Board of Directors Nominees - 2023 - YouTube pandas-cookbook: Recipes for using Python’s pandas library Level up your Python skills with our expert-led courses: Getting Started With Django: Building a Portfolio App Deploy Your Python Script on the Web With Flask Jinja Templating Support the podcast & join our community of Pythonistas

How much Python do you need to learn to start creating projects? What’s a good balance of information and hands-on practice? This week on the show, Eric Matthes is here to discuss his book Python Crash Course. As a former high school science, math, and programming teacher, Eric saw something missing in the programming publishing landscape. We discuss the guiding questions that inspired the book’s development and the title. Eric covers how the crash course takes readers through a fast-paced introduction to Python that culminates in three unique projects. We also discuss Eric’s blog, Mostly Python, where he digs deeper into technical subjects. He also occasionally shares more topical posts and includes many exercises. Course Spotlight: Plot With pandas: Python Data Visualization Basics In this course, you’ll get to know the basic plotting possibilities that Python provides in the popular data analysis library pandas. You’ll learn about the different kinds of plots that pandas offers, how to use them for data exploration, and which types of plots are best for certain use cases. Topics: 00:00:00 – Introduction 00:02:04 – Why Alaska? 00:05:33 – What do you like about Python? 00:06:40 – Becoming an author & the intended reader 00:15:56 – History of programming books 00:17:39 – Having a purpose for learning 00:20:22 – Exercising as you go 00:24:45 – Including projects in the book 00:26:32 – Is the “crash course” a book model? 00:29:20 – Video Course Spotlight 00:30:29 – How much of a topic to reveal 00:35:08 – Guiding questions 00:42:43 – Moving from functions to testing in four chapters 00:46:21 – What were you excited to update in the book? 00:50:28 – Were there doubts about preparing readers for projects? 00:53:52 – Space invaders clone pygame project 00:55:52 – Data visualization project 01:00:38 – Django web app project 01:04:15 – Cheat sheets and additional resources 01:07:54 – Python flash cards 01:09:54 – What are you excited about in the world of Python? 01:10:54 – What do you want to learn next? 01:11:46 – How can people follow the work you do? 01:13:06 – Thanks and goodbye Show Links: Python Crash Course, 3rd Edition - No Starch Press Episode #105: Creating Better Error Messages for Python 3.10 & 3.11 – The Real Python Podcast Making Python Better One Error Message At A Time - PyCon 2022 Learning Python, 2nd Edition pytest: helps you write better programs — pytest documentation Pygame Matplotlib — Visualization with Python Plotly: Low-Code Data App Development django-simple-deploy - readthedocs.io Cheat Sheets - Python Crash Course, Third Edition Python Flash Cards - No Starch Press DjangoCon US 2023 - October 16-20, 2023 - Durham, NC United States pandas - Python Data Analysis Library Python Crash Course, Third Edition - GitHub Resources Mostly Python - Eric Matthes - Substack Eric Matthes (@ehmatthes@fosstodon.org) - Fosstodon Level up your Python skills with our expert-led courses: Testing Your Code With pytest Histogram Plotting in Python: NumPy, Matplotlib, Pandas & Seaborn Plot With pandas: Python Data Visualization Basics Support the podcast & join our community of Pythonistas

What advice can you extract from the Zen of Python? How can these nineteen guiding principles help you write more idiomatic Python? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder’s Weekly articles and projects. Christopher shares a Real Python tutorial by Bartosz Zaczyński titled “What’s the Zen of Python?” We talk about the poem’s origin and ways to access the Zen within Python. We also discuss how different sections provide contradictory advice for what makes good Python code. We cover a recent post by previous guest Matt Harrison about using Python and pandas for finance. Matt’s article covers methods in the pandas library for aggregation, resampling, and rolling averages. We cover several other articles and projects from the Python community, including staying up-to-date with news, solving a Legend of Zelda puzzle with Python, avoiding “simply” providing advice, displaying better stack traces, and creating files with fake data. Course Spotlight: Speed Up Python With Concurrency Learn what concurrency means in Python and why you might want to use it. You’ll see a simple, non-concurrent approach and then look into why you’d want threading, asyncio, or multiprocessing. Topics: 00:00:00 – Introduction 00:01:49 – Python 3.11.4, 3.10.12, 3.9.17, 3.8.17, 3.7.17, and Python 3.12.0 beta 3 released 00:02:24 – Enforcement of 2FA for PyPI Began June 1st 00:02:54 – Faster Python 3.13 Plan 00:03:14 – PyPy v7.3.12 Released 00:03:28 – Migrate to .readthedocs.yaml Configuration 00:05:14 – PyCon US 2023 and PyCascades 2023 Videos Are Up 00:05:37 – What’s the Zen of Python? 00:09:22 – Python for Finance: Pandas Resample, Groupby, and Rolling 00:15:24 – Python and the Legend of Zelda 00:17:47 – Don’t Say “Simply” Use Pyenv, Poetry or Anaconda 00:28:54 – Is Parallel Programming Hard? 00:40:54 – Video Course Spotlight 00:42:20 – pymg: A Better Display for Stack Traces 00:44:58 – faker-file: Create Files With Fake Data 00:49:14 – Thanks and goodbye News: Python 3.11.4, 3.10.12, 3.9.17, 3.8.17, 3.7.17, and 3.12.0 Beta 2 Released Python Insider: Python 3.12.0 beta 3 released Enforcement of 2FA for PyPI Began June 1st – For those accounts that have two-factor authentication turned on for PyPI uploads, the use of 2FA is now required. Users with 2FA who were only using a password in the past will now have to perform 2FA as well. This is all part of the PyPI transition to 2FA across the board. Faster Python 3.13 Plan – This brief outline highlights the plan for the faster CPython project for the 3.13 release. It includes PEP 669, PEP 554, improved memory management, and more. Here’s the associated Hacker News discussion. PyPy v7.3.12 Released Migrate to .readthedocs.yaml Configuration – The Read the Docs site has announced the new requirement that all builds must move to using a .readthedocs.yaml configuration file, version 2. There are some test windows where they’ll be temporarily enforcing the change, but the final release date is September 25, 2023. Read on for details on how to migrate your project. PyCascades 2023 Videos Are Up PyCon US 2023 Videos Are Up Topic Links: What’s the Zen of Python? – In this tutorial, you’ll be exploring the Zen of Python, a collection of nineteen guiding principles for writing idiomatic Python. You’ll find out how they originated and whether you should follow them. Along the way, you’ll uncover several inside jokes associated with this humorous poem. Python for Finance: Pandas Resample, Groupby, and Rolling – When working with time series data such as financial information, the resample, grouping, and rolling features of pandas can make your life easier. Python and the Legend of Zelda – The Game Boy Color version of Legend of Zelda: Oracle of Ages contains a grid-based puzzle. Gaz writes about creating a brute-force program to solve the challenge using Python. Don’t Say “Simply” Use Pyenv, Poetry or Anaconda – This article talks about the issues that newer Python coders might encounter by adopting more complicated package management mechanisms and explains why sticking with pip is often the better choice. Discussion: Is Parallel Programming Hard? AsyncIO: Why I Hate It – Charles is the creator of Peewee ORM and often gets the question when will it support asyncio? In this opinion piece, he talks about why he doesn’t like asyncio and which alternatives he prefers. Projects: pymg: A Better Display for Stack Traces faker-file: Create Files With Fake Data Additional Links: Practicality Beats Purity: The Zen of Python’s Escape Hatch - Chris Neugebauer - YouTube Relieving your Python packaging pain Is Parallel Programming Hard, And, If So, What Can You Do About It? - Book Download Level up your Python skills with our expert-led courses: Threading in Python Hands-On Python 3 Concurrency With the asyncio Module Speed Up Python With Concurrency Support the podcast & join our community of Pythonistas

Are you looking to advance your CircuitPython projects? Would you like a collection of resources and tools to help you along your path? This week on the show, Tod Kurt is here to discuss building projects with CircuitPython. Tod has been working with embedded electronics for a long time and has been an active member of the Arduino community. He recently started to build projects using CircuitPython, and it has become his preferred prototype method. He shares software resources, hardware tools, and advice about working with CircuitPython and embedded electronics. We discuss several of his music hardware projects and the libraries and modules that he uses for synthesis. He also shares a powerful online prototyping tool to plan your project before spending money or plugging in a soldering iron. Course Spotlight: Python Basics: Reading and Writing Files In this video course, you’ll learn how to move data back and forth between your Python programs and external software by reading and writing files. You’ll practice reading and writing data stored in the CSV file format, one of the most widely supported file formats for transferring tabular data. Topics: 00:00:00 – Introduction 00:02:17 – Tod’s background and ThingM 00:06:37 – The Bootloader Podcast 00:09:58 – Why did you move from C to Python? 00:13:47 – Starting new projects with CircuitPython instead of Arduino 00:17:14 – Advantages of the Arduino language 00:21:07 – Modules that extend CircuitPython with C 00:25:23 – Synthesis and sample playback in CircuitPython 00:32:54 – Video Course Spotlight 00:34:13 – ulab for NumPy-like functionality in CircuitPython 00:39:20 – Raspberry Pi Pico as inexpensive project board 00:46:08 – STEMMA QT and breadboards 00:48:40 – Powering projects with a USB power bank 00:51:25 – Software tools - tio, circup, and discotool 00:56:55 – CircuitPython tricks GitHub repo 00:59:44 – Wokwi simulator for CircuitPython and Raspberry Pi Pico 01:01:25 – PCB board design resources 01:03:27 – todbot projects on Tindie 01:06:11 – Hardware tools for projects 01:08:21 – What are you excited about in the world of Python? 01:09:42 – What do you want to learn next? 01:11:30 – How can people follow your work online? 01:12:50 – Thanks and goodbye Show Links: todbot blog – Random experiments, circuits, and code by Tod Kurt. todbot - YouTube ThingM The Bootloader Podcast The CircuitPython Show Podcast CircuitPython Arduino - Home Extending CircuitPython: An Introduction - Adafruit Learning System Adafruit Feather RP2040 with DVI - HDMI Output Episode #75: Building With CircuitPython & Constraints of Python for Microcontrollers displayio – Native helpers for driving displays - CircuitPython Mozzi synthio: Support for multi-channel audio synthesis - Adafruit ulab: Crunch Numbers fast in CircuitPython - Adafruit Learning System Raspberry Pi Pico RP2040 - Adafruit What is STEMMA? - Adafruit STEMMA & STEMMA QT USB Power bank - Current Favorite - Amazon tio: A simple serial device I/O tool - GitHub circup: CircuitPython library updater - GitHub discotool: USB Arduino type boards discovery library and tool - GitHub circuitpython-tricks: Some CircuitPython tricks, mostly reminders to myself - GitHub Wokwi Simulator - CircuitPython on Raspberry Pi Pico Project EAGLE - PCB Design And Electrical Schematic Software - Autodesk KiCad EDA - Schematic Capture & PCB Design Software Introducing KiCanvas - Stargirl (Thea) Flowers PicoTouch - Capsense MIDI keyboard - Tindie PicoStepSeq PCB from todbot synth toys - Tindie USB Voltage and Current Tester - Amazon USB Hub with Individual Power Switches - Amazon CPython Internals Book – Real Python ThinkDSP: Free Book on Digital Signal Processing in Python todbot blog – Random experiments, circuits, and code by Tod Kurt. Tod Kurt (todbot) (@todbot@mastodon.social) - Mastodon Adafruit Discord - @todbot Level up your Python skills with our expert-led courses: Python Basics: Reading and Writing Files Getting Started With MicroPython Python Basics: File System Operations Support the podcast & join our community of Pythonistas

What are the unique challenges of a large Python code base? What techniques can you implement to simplify the management of a big project? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder’s Weekly articles and projects. We discuss a recent thread on Hacker News about working with a large Python code base. Christopher advises configuring tests and using tools to keep your code consistent across an organization. He also answers several questions about code complexity, typing, and leveraging third-party libraries. We cover several other articles and projects from the Python community, including news from the Python Language Summit, Kivy for GUI development, the power of bit manipulation, the removal of unused import statements in your code, and a Python-based iOS project for adding reminders about links from a podcast. Course Spotlight: Build Cross-Platform GUI Apps With Kivy In this video course, you’ll learn how to build a cross-platform mobile application with Python and the Kivy GUI framework. You’ll discover how to develop an application that can run on your desktop as well as your phone. Then, you’ll package your app for Windows, Linux, and macOS. Topics: 00:00:00 – Introduction 00:01:43 – Python 3.13 Removes 20 Stdlib Modules 00:03:20 – Making the Global Interpreter Lock Optional 00:04:52 – What Is the Standard Library For? 00:06:14 – Python’s .__call__() Method: Creating Callable Instances 00:11:40 – The Power of Bit Manipulation 00:15:39 – Using Kivy for GUI Development 00:21:18 – Video Course Spotlight 00:22:43 – How Do You Deal With Large Python Code Bases? 00:40:50 – unimport: Remove Unused Import Statements in Your Code 00:42:36 – Update: rsync-time-machine.py 00:43:20 – memocast: Add links heard in podcasts into iOS reminders 00:47:42 – A request to listeners 00:48:20 – Thanks and goodbye Show Links: Python 3.13 Removes 20 Stdlib Modules – Core developers are busy working on PEP 594, removing dead batteries from Python 3.13. This long post in the discussion forum highlights what work has been completed so far. Making the Global Interpreter Lock Optional – In the past, Sam Gross has outlined how to make the GIL optional in CPython. He presented at the Python Language Summit, providing updates on his progress and future plans for the project. PEP 703 – Making the Global Interpreter Lock Optional in CPython | peps.python.org PEP 703 - Discussion on Python.org What Is the Standard Library For? – This post summarizes a conversation at the Python Language Summit proposing that guidelines be defined for when something should be added to the standard library. Python’s .__call__() Method: Creating Callable Instances – In this tutorial, you’ll learn what a callable is in Python and how to create callable instances using the .__call__() special method in your custom classes. You’ll also code several examples of practical use cases for callable instances in Python. The Power of Bit Manipulation – In this article, you learn about bit manipulation and how to solve problems efficiently using it in Python. Using Kivy for GUI Development – Kivy is an open-source Python library for developing desktop and mobile GUI apps. It’s supported on Windows, Linux, macOS, Android, and iOS. This article introduces you to Kivy and teaches you how to build your first GUI with it. Discussion: How Do You Deal With Large Python Code Bases? Projects: unimport: Remove Unused Import Statements in Your Code memocast: 🎧 A small iOS app for e.g. iPhone that allow you to add links heard in podcasts into reminders Additional Links: Binary, Bytes, and Bitwise Operators in Python – Real Python Build a Mobile Application With the Kivy Python Framework – Real Python Open Source ERP and CRM | Odoo Moodle - Open-source learning platform | Moodle.org rsync-time-machine.py: Time Machine-style backups using rsync Pythonista for iOS Level up your Python skills with our expert-led courses: Python Basics: Object-Oriented Programming Simplify Python GUI Development With PySimpleGUI Build Cross-Platform GUI Apps With Kivy Support the podcast & join our community of Pythonistas

Have you thought about getting more involved in the Python community? Are you interested in volunteering for an event or becoming an organizer? This week on the show, we speak with organizers from this year’s PyCascades conference about making connections, learning new skills, and rationing your time. We have three guests to discuss working on PyCascades 2023 and how they got involved in volunteering. Conference Chair Ben Berry, a site reliability engineer based in Seattle, is currently working on a private platform-as-a-service. Diversity Chair Madison Swain-Bowden is a senior data engineer out of Seattle, currently working at Automattic on the Openverse team. Sponsorship Chair Michael van der Kamp is a back-end engineer at Coffee Meets Bagel. We discuss finding other volunteers, maintaining motivation, and connecting with sponsors. Our guests also share their stories of overcoming challenges, connecting with community, and finding fulfillment through volunteering. This week’s episode is brought to you by Proxify. 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 00:02:34 – Conference Chair Ben Berry 00:03:58 – Diversity Chair Madison Swain-Bowden 00:06:04 – Sponsorship Chair Michael van der Kamp 00:08:28 – Scheduling of conferences around one another 00:10:41 – How did you get involved in the community? 00:20:01 – Sponsor: Proxify 00:20:57 – Workplace groups and guilds 00:27:41 – How community helps with job referrals 00:32:19 – New position and added responsibilities 00:41:24 – How would you pitch volunteering? 00:44:32 – Video Course Spotlight 00:45:45 – How do you avoid overdoing it? 00:52:46 – What are you excited about in the world of Python? 00:55:16 – What do you want to learn next? 00:59:22 – Thanks and goodbye Show Links: The Team - PyCascades 2023 PyCascades 2023 - YouTube PyLadies – Women Who Love Coding in Python Puget Sound Programming Python (PuPPy) (Seattle, WA) - Meetup PySprings (Colorado Springs, CO) - Meetup What is Lean Coffee? - an introduction to agenda-less meetings Async IO in Python: A Complete Walkthrough – Real Python Structural Pattern Matching – Real Python Using FastAPI to Build Python Web APIs – Real Python Rust Programming Language Rust for Rustaceans - No Starch Press CircuitPython Michael van der Kamp - LinkedIn Madison on Tumblr Ben Berry (@benb@fosstodon.org) Level up your Python skills with our expert-led courses: Using pandas to Make a Gradebook in Python The pandas DataFrame: Working With Data Efficiently Building Python Project Documentation With MkDocs Support the podcast & join our community of Pythonistas

Do you need a refresher on using Docker with Python? Would you like to learn how to configure a continuous integration pipeline with modern tools and Docker? This week on the show, Christopher Trudeau is here, bringing another batch of PyCoder’s Weekly articles and projects. We share a Real Python tutorial from Bartosz Zaczyński about building continuous integration with Docker. Docker provides consistent environments for configuring, testing, and delivering Python applications. In this tutorial, you’ll get up to speed with current Docker and CI techniques. We also speak with Bill Pollock from No Starch Press about Hacker Initiative. The public nonprofit gives back to and strengthens the hacking community. The 2023 grant cycle is currently open until August 15. We discuss the application process and projects from previous grant recipients. We cover several other articles and projects from the Python community, including a news update and some resources on implementing metaclasses in Python, creating time machine-style backups, and scanning your project for vulnerabilities. Course Spotlight: Metaclasses in Python Metaclasses are an important but mysterious behind-the-scenes mechanism for instantiating classes in Python. In this video course, you’ll learn how Python’s metaclasses work in object-oriented programming. Topics: 00:00:00 – Introduction 00:02:26 – PyPI Temporarily Suspended New Registrations 00:03:38 – PyPI was subpoenaed 00:04:54 – Python 3.12.0 beta 1 released 00:05:19 – Build Robust Continuous Integration With Docker and Friends 00:13:02 – Metaclasses in Python 00:20:03 – Pronouncing SQL - Is there life after SQL? 00:22:52 – Video Course Spotlight 00:24:25 – pyscan: Python dependency vulnerability scanner, written in Rust 00:26:28 – rsync-time-machine.py: Time Machine-Style Backups 00:29:20 – Bill Pollock and Hacker Initiative 00:34:18 – Previous grant recipients 00:36:58 – First Tech Challenge 00:43:18 – Large vs small nonprofits 00:45:48 – Applying for the 2023 grant cycle 00:49:01 – Underserved areas 00:51:45 – Thanks and goodbye News: PyPI Temporarily Suspended New Registrations – Due to a large volume of traffic from malicious users, PyPI temporarily suspended new account and project registrations on May 20. The suspension was lifted thirty hours later on May 21. PyPI was subpoenaed - The Python Package Index – The PSF received three subpoenas from the US Department of Justice for PyPI user data in March and April of 2023. Python Insider: Python 3.12.0 beta 1 released Show Links: Build Robust Continuous Integration With Docker and Friends – In this tutorial, you’ll use Docker and GitHub Actions to build a robust continuous integration pipeline for a multi-container web application consisting of Flask and Redis. Along the way, you’ll learn how to dockerize a Python web application. Metaclasses in Python - Real Python Video Course – Metaclasses are an important but mysterious behind-the-scenes mechanism for instantiating classes in Python. In this video course, you’ll learn how Python’s metaclasses work in object-oriented programming. Is there life after SQL? - YouTube Projects: pyscan: Python dependency vulnerability scanner, written in Rust - GitHub rsync-time-machine.py: Time Machine-Style Backups Hacker Initiative Links: Hacker Initiative – By hackers. For hackers. Apply for the 2023 Grant Cycle – Hacker Initiative 2022 Grant Recipients – Hacker Initiative Additional Links: Release CPython 3.12.0b1 w/ WASI SDK 20 - brettcannon/cpython-wasi-build Episode #149: Coding With namedtuple & Python’s Dynamic Superpowers What is FIRST Tech Challenge? - FIRST No Starch Press - “The finest in geek entertainment” Level up your Python skills with our expert-led courses: Continuous Integration With Python Metaclasses in Python Writing Clean, Pythonic Code With namedtuple Support the podcast & join our community of Pythonistas