The Real Python Podcast

The Real Python Podcast

Real Python

A weekly Python podcast hosted by Christopher Bailey with interviews, coding tips, and conversation with guests from the Python community. The show covers a wide range of topics including Python programming best practices, career tips, and related software development topics. Join us every Friday morning to hear what's new in the world of Python programming and become a more effective Pythonista.

45 minutes 50 seconds

The Joy of Tinkering & Python Free-Threading Performance
What keeps your spark alive for developing software and learning Python? Do you like to try new frameworks, build toy projects, or collaborate with other developers? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

We discuss the joy of tinkering with Python as a way to keep your developer skills sharp. We dig into our techniques for continuing to learn and build projects.

Christopher shares an article that examines the performance of Python 3.13’s free-threading features. This piece uses a clever example to measure how the new features behave with large datasets and parallelization.

We share several other articles and projects from the Python community, including a group of new releases, common use cases and examples for Python closures, finding the opposite of cloud-native, Python’s soft keywords, a command-line utility for taking automated screenshots of websites, and putting the Django admin in the terminal with Textual.

This episode is sponsored by Windsurf.

Course Spotlight: Python Inner Functions

In this step-by-step course, you’ll learn what inner functions are in Python, how to define them, and what their main use cases are. You’ll see how to write helper functions, create closure factory functions, and how to add behavior to existing functions with decorators.

Topics:
- 00:00:00 – Introduction
- 00:02:18 – Django Bugfix Release Issued: 5.1.3
- 00:02:46 – Pillow Release 11.0.0
- 00:03:14 – Flask Version 3.1.0
- 00:03:30 – PyCon US 2025 (Pittsburgh) Call for Proposals
- 00:03:46 – Python Closures: Common Use Cases and Examples
- 00:09:20 – State of Python 3.13 Performance: Free-Threading
- 00:15:42 – Sponsor: Windsurf
- 00:16:32 – Opposite of Cloud Native Is…?
- 00:22:36 – Python’s Soft Keywords
- 00:24:50 – Video Course Spotlight
- 00:26:11 – The Joy of Tinkering
- 00:38:33 – shot-scraper: A command-line utility for taking automated screenshots of websites
- 00:41:13 – django-admin-tui: Django Admin in the Terminal!
- 00:42:37 – django-admin-dracula: Dracula Themes for the Django Admin
- 00:44:21 – Thanks and goodbye
News:
Show Links:
- Python Closures: Common Use Cases and Examples – In this tutorial, you’ll learn about Python closures. A closure is a function-like object with an extended scope. You can use closures to create decorators, factory functions, stateful functions, and more.
- State of Python 3.13 Performance: Free-Threading – This article does a comparison between code in single threaded, threaded, and multi-process versions under Python 3.12, 3.13, and 3.13 free-threaded with the GIL on and off.
- Opposite of Cloud Native Is…? – Michael (from Talk Python fame) introduces the concept of “stack-native” as the opposite of “cloud-native”, and how it applies to Python web apps. Building applications with just enough full-stack building blocks to run reliably with minimal complexity, rather than relying on a multitude of cloud services.
- Python’s soft keywords – Python includes soft keywords: tokens that are important to the parser but can also be used as variable names. This article shows you what a soft keyword is and how to find them in Python 3.12 (both the easy and hard way).
Discussion:
- Habits of Great Software Engineers - The Joy of Tinkering
Projects:
Additional Projects:
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22 November 2024, 12:00 pm
1 hour 9 minutes

Maintaining the Foundations of Python & Cautionary Tales
How do you build a sustainable open-source project and community? What lessons can be learned from Python’s history and the current mess that the WordPress community is going through? This week on the show, we speak with Paul Everitt from JetBrains about navigating open-source funding and the start of the Python Software Foundation.

Paul has been an organizer in the Python community almost from the beginning. He shares how the project has navigated through multiple sponsors. We talk about the early governance models and the formation of the Python Software Foundation.

We contrast this journey with the current drama unfolding in the WordPress community. We discuss the potential problems of having a benevolent dictator for life. We also dig into sponsorship models and ways to get companies to give back to the open-source projects they rely on.

This episode is sponsored by Sentry.

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
- 00:01:55 – Meeting Jodie Burchell at PyCon 2022
- 00:02:51 – A non-traditional path into open-source
- 00:07:09 – The current turmoil around WordPress
- 00:13:49 – Keeping things fair in the age of extraction
- 00:16:03 – Sponsor: Sentry
- 00:17:07 – Early Python organizing history and conservation
- 00:20:41 – The Python Software Activity precursor to PSF
- 00:24:14 – Creating the Python Software Foundation
- 00:27:24 – Keeping the perfect distance of business and project
- 00:28:13 – Who gets to capture the value from open-source?
- 00:31:07 – Sponsorships becoming more common
- 00:33:24 – BDFL to a steering council
- 00:34:58 – Video Course Spotlight
- 00:36:16 – What is Plone?
- 00:38:11 – Starting in Python and finding community
- 00:50:07 – Companies contributing
- 00:53:16 – Examples of how JetBrains contributes back
- 00:55:41 – Understanding the support system
- 00:58:09 – Talking to decision makers
- 01:00:07 – Python 1994 talk and continuation
- 01:01:49 – What are you excited about in the world of Python?
- 01:03:06 – What do you want to learn next?
- 01:04:17 – How can people follow your work online?
- 01:07:16 – Thanks and goodbye
Show Links:
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15 November 2024, 12:00 pm
47 minutes 58 seconds

New PEPs: Template Strings & External Wheel Hosting
Have you wanted the flexibility of f-strings but need safety checks in place? What if you could have deferred evaluation for logging or avoiding injection attacks? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

We discuss a set of recent Python Enhancement Proposals (PEPs). The idea of template strings has been under consideration for a while, and PEP 750 describes a new way forward. PEP 759 proposes a way for projects on PyPI to safely host resources on external sites using a new package upload format called a .rim file.

We share several other articles and projects from the Python community, including what didn’t make the headlines about Python 3.13, solving Sudoku with Python packaging, what’s sweet about Python’s syntactic sugar, creating database-generated columns using SQLite and Django, a discussion about mentoring, an adaptive web scraper, and a debugging tool for HTTP(S) client requests.

This episode is sponsored by Sentry.

Course Spotlight: Using Pydantic to Simplify Python Data Validation

Discover the power of Pydantic, Python’s most popular data parsing, validation, and serialization library. In this hands-on video course, you’ll learn how to make your code more robust, trustworthy, and easier to debug with Pydantic.

Topics:
- 00:00:00 – Introduction
- 00:02:08 – Python 3.14.0 Alpha 1 Released
- 00:02:38 – Python 3.13, What Didn’t Make the Headlines
- 00:05:23 – What’s up Python? 3.13 is out, t-strings look awesome
- 00:10:21 – Sponsor: Sentry
- 00:11:25 – Sudoku in Python Packaging
- 00:14:29 – Syntactic Sugar: Why Python Is Sweet and Pythonic
- 00:22:31 – Database generated columns: Django & SQLite
- 00:27:14 – Video Course Spotlight
- 00:28:39 – Mentors
- 00:42:23 – Scrapling: Lightning-Fast, Adaptive Web Scraping for Python
- 00:44:14 – httpdbg: A tool for Python developers to easily debug the HTTP(S) client requests
- 00:46:04 – Request for project submissions to PyCoders
- 00:46:59 – Thanks and goodbye
News:
- Python 3.14.0 Alpha 1 Released
Show Links:
- Python 3.13, What Didn’t Make the Headlines – Bite Code summarizes some of the lesser covered changes to Python in the 3.13 release, including how some of the REPL improvements made it into pdb, improvements to shutil, and small additions to the asyncio library.
- What’s up Python? 3.13 is out, t-strings look awesome, dep groups come in handy…
- Sudoku in Python Packaging – Simon writes about a Sudoku solver written by Konstin that uses the Python packaging mechanisms to do Sudoku puzzles. The results are output using a requirements.txt file, where sudoku-0-3==5 represents the (0,3) cell’s answer of 5.
- Syntactic Sugar: Why Python Is Sweet and Pythonic – In this tutorial, you’ll learn what syntactic sugar is and how Python uses it to help you create more readable, descriptive, clean, and Pythonic code. You’ll also learn how to replace a given piece of syntactic sugar with another syntax construct.
- Database generated columns: Django & SQLite – An introduction to database generated columns, using SQLite and the new GeneratedField added in Django 5.0
Discussion:
- Mentors – Ryan just finished his second round of mentoring with the Djangonaut.Space program. This post talks about how you can help your mentor help you and how to be a good mentor.
Projects:
- Scrapling: Lightning-Fast, Adaptive Web Scraping for Python
- httpdbg: A tool for Python developers to easily debug the HTTP(S) client requests in a Python program
Additional Links:
Level up your Python skills with our expert-led courses:
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8 November 2024, 12:00 pm
1 hour 19 minutes

PySheets: Spreadsheets in the Browser Using PyScript
What goes into building a spreadsheet application in Python that runs in the browser? How do you make it launch quickly, and where do you store the cells of data? This week on the show, we speak with Chris Laffra about his project, PySheets, and his book “Communication for Engineers.”

As a software engineer, Chris has worked at IBM, Google, Uber, and several financial institutions. He speaks about developer productivity and communication skills as an engineer. We begin our conversation by digging into his background, his approach to building engineering teams, and strategies for improving communication.

Chris’ idea for PySheets is to have Excel inside Python with everything running locally in your browser. He was inspired by the success of Jupyter Notebooks but wanted to develop a tool more suited to a spreadsheet’s non-linear graph structure.

PySheets is built to run locally in the user’s browser, taking advantage of PyScript. We discuss finding the right solution for storing data in the browser and developing a graphic toolkit to create the UI. Chris also shares the novel method he found to get the interface up and running while the larger assets are loading.

This episode is sponsored by Sentry.

Course Spotlight: Understanding Python’s Global Interpreter Lock (GIL)

Python’s Global Interpreter Lock, or GIL, is a mutex (or a lock) that allows only one thread to hold the control of the Python interpreter at any one time. In this video course, you’ll learn how the GIL affects the performance of your Python programs.

Topics:
- 00:00:00 – Introduction
- 00:02:25 – Background with building engineering teams
- 00:08:43 – Communication for Engineers book
- 00:16:17 – What do customers want and experiences at IBM
- 00:24:28 – Starting the development of PySheets
- 00:27:19 – Working with the DOM
- 00:29:41 – Success of Jupyter notebooks
- 00:35:46 – Sponsor: Sentry
- 00:36:52 – Little Toolkit for PyScript
- 00:43:24 – Finding funding
- 00:46:58 – Building a product before selling
- 00:52:27 – Video Course Spotlight
- 00:53:46 – Finding the right data storage in IndexedDB
- 01:01:57 – Exploring the trial page and extensibility
- 01:08:26 – Contributing to the project or forking
- 01:11:56 – What are you excited about in the world of Python?
- 01:16:20 – What do you want to learn next?
- 01:17:25 – How can people follow your work online?
- 01:18:05 – Thanks and goodbye
Show Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
1 November 2024, 12:00 pm
43 minutes 4 seconds

Python Getting Faster and Leaner & Ideas for Django Projects
What changes are happening under the hood in the latest versions of Python? How are these updates laying the groundwork for a faster Python in the coming years? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

Christopher shares an article about Python’s recent performance improvements. The piece covers the specialized adaptive interpreter and explains what those terms mean. It also includes details about the experimental feature of the Just-In-Time (JIT) compiler added in 3.13.

We dig into a collection of Django projects you can use to practice and develop your skills. The projects ramp up from detailed beginner tutorials to more advanced projects with guidelines on how to get started. We also discuss a collection of popular websites that use Django.

We share several other articles and projects from the Python community, including a batch of recent Python Enhancement Protocols (PEPs), a couple of Python releases, using DuckDB in the browser with Pyodide, building a contact book app with Textual, generating a tiny status page with a Python script, and a grep-like tool that understands code.

This episode is sponsored by AssemblyAI.

Course Spotlight: Building a Site Connectivity Checker

In this video course, you’ll build a Python site connectivity checker for the command line. While building this app, you’ll integrate knowledge related to making HTTP requests with standard-library tools, creating command-line interfaces, and managing concurrency with asyncio and aiohttp.

Topics:
- 00:00:00 – Introduction
- 00:03:11 – PEP 777: How to Re-Invent the Wheel
- 00:04:22 – PEP 758: Allow except and except* Expressions Without Parentheses
- 00:04:51 – PEP 760: No More Bare Excepts (Withdrawn)
- 00:05:42 – PEP 735: Dependency Groups in pyproject.toml
- 00:06:29 – PEP 761: Deprecating PGP Signatures for CPython Artifacts
- 00:06:59 – Python 3.12.7 Released
- 00:07:12 – Incremental GC and Pushing Back the 3.13.0 Release
- 00:09:10 – DuckDB in the Browser With Pyodide
- 00:15:35 – Sponsor: AssemblyAI
- 00:16:18 – Build a Contact Book App With Python, Textual, and SQLite
- 00:21:55 – Django Project Ideas
- 00:28:42 – Video Course Spotlight
- 00:30:00 – In the Making of Python Fitter and Faster
- 00:35:13 – tinystatus: Tiny Status Page Generated by a Python Script
- 00:38:06 – srgn: Grep-Like Tool That Understands Code
- 00:42:01 – Thanks and goodbye
News:
- PEP 777: How to Re-Invent the Wheel – “The current wheel 1.0 specification was written over a decade ago, and has been extremely robust to changes in the Python packaging ecosystem… this PEP prescribes compatibility requirements on future wheel revisions.”
- PEP 758: Allow except and except* Expressions Without Parentheses – “This PEP proposes to allow unparenthesized except and except* blocks in Python’s exception handling syntax. Currently, when catching multiple exceptions, parentheses are required around the exception types.”
- PEP 760: No More Bare Excepts (Withdrawn)
- PEP 735: Dependency Groups in pyproject.toml (Accepted)
- PEP 761: Deprecating PGP Signatures for CPython Artifacts – Since Python 3.11.0, CPython has provided two verifiable digital signatures for all CPython artifacts: PGP and Sigstore. This PEP proposes moving to Sigstore as the only way of signing artifacts.
- Python 3.12.7 Released
- Python 3.13.0 Released
- Incremental GC and Pushing Back the 3.13.0 Release – Some last minute performance considerations delayed the release of Python 3.13 with one of the features being backed out.
Show Links:
- DuckDB in the Browser With Pyodide – Learn how to run DuckDB in an in-browser Python environment to enable simple querying on remote files, interactive documentation, and easy to use training materials.
- Build a Contact Book App With Python, Textual, and SQLite – In this tutorial, you’ll be guided step by step through the process of building a basic contact book application. You’ll use Python and Textual to build the application’s text-based user interface (TUI), and then use SQLite to manage the database.
- Django Project Ideas – Looking to experiment or build your portfolio? Discover creative Django project ideas for all skill levels, from beginner apps to advanced full-stack projects.
- In the Making of Python Fitter and Faster – This post details how Python’s recent performance improvements work under the hood. It covers changes to the interpreter, better memory management, and the newly experimental JIT compiler.
Projects:
- tinystatus: Tiny Status Page Generated by a Python Script
- srgn: Grep-Like Tool That Understands Code
Additional Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
25 October 2024, 12:00 pm
1 hour 33 seconds

Narwhals: Expanding DataFrame Compatibility Between Libraries
How does a Python tool support all types of DataFrames and their various features? Could a lightweight library be used to add compatibility for newer formats like Polars or PyArrow? This week on the show, we speak with Marco Gorelli about his project, Narwhals.

Narwhals is a project aimed at library maintainers rather than end users. We discuss how the added compatibility benefits users by supporting modern features like lazy evaluation. We cover several projects Marco has been working with to implement Narwhals, including Altair, scikit-lego, and Ibis.

We also discuss how Marco started contributing to open-source projects. Marco has contributed to both pandas and Polars, which helps explain his interest in growing compatibility between libraries. He also offers advice on making your first contribution.

This episode is sponsored by CodeRabbit.

Course Spotlight: Differences Between Python’s Mutable and Immutable Types

In this video course, you’ll learn how Python’s mutable and immutable data types work internally and how you can take advantage of mutability or immutability to power your code.

Topics:
- 00:00:00 – Introduction
- 00:02:02 – Euro SciPy 2024 and sprints
- 00:04:04 – How did you get involved in open source?
- 00:07:18 – Finding a good issue to get started
- 00:09:25 – Discord and open-source projects
- 00:11:12 – Who would you describe Narwhals?
- 00:16:47 – Working on Polars
- 00:19:17 – Apache Arrow and a data interchange protocol
- 00:22:55 – Sponsor: CodeRabbit
- 00:23:55 – Digging into eager vs lazy
- 00:27:04 – Ibis DataFrame library
- 00:28:57 – What do libraries need from Narwhals?
- 00:34:57 – The scikit-lego library
- 00:37:15 – Video Course Spotlight
- 00:38:45 – Other libraries interested in Narwhals
- 00:41:56 – Compatibility policy
- 00:45:18 – What should an end user expect?
- 00:46:32 – Have other projects that attempted this?
- 00:47:54 – Keeping the project light and pure Python
- 00:49:32 – Contributors and how to get involved
- 00:54:42 – What are you excited about in the world of Python?
- 00:57:18 – What do you want to learn next?
- 00:59:05 – How can people follow your work online?
- 00:59:27 – Thanks and goodbye
Show Links:
Level up your Python skills with our expert-led courses:
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18 October 2024, 12:00 pm
55 minutes 24 seconds

Exploring the New Features of Python 3.13
Python 3.13 is here! Our regular guests, Geir Arne Hjelle and Christopher Trudeau, return to discuss the new version. This year, Geir Arne coordinated a series of preview articles with members of the Real Python team and a showcase tutorial, “Python 3.13: Cool New Features for You to Try.” Christopher’s video course “What’s New in Python 3.13” covers the topics from the article and shows the new features in action.

Geir Arne and Christopher dug into the release to create code examples of the new features for the tutorial and course. We look at the options for disabling the Global Interpreter Lock (GIL) and enabling the Just-in-Time (JIT) compiler. We also discuss the new interactive interpreter, better error messages, multiple improvements to static typing, and additional performance improvements.

We share our thoughts on the updates and offer advice about incorporating them into your projects. We also discuss when you should start running Python 3.13.

This is episode is sponsored by Nvidia.

Course Spotlight: What’s New in Python 3.13

In this video course, you’ll learn about the new features in Python 3.13. You’ll take a tour of the new REPL and error messages and see how you can try out the experimental free threading and JIT versions of Python 3.13 yourself.

Topics:
- 00:00:00 – Introduction
- 00:03:14 – A Modern REPL
- 00:08:54 – Making the Global Interpreter Lock Optional in CPython
- 00:11:33 – JIT Compilation
- 00:15:48 – More improved error messages
- 00:18:30 – Sponsor: NVIDIA
- 00:19:13 – Marking deprecations using the type system
- 00:21:09 – Type Defaults for Type Parameters
- 00:22:44 – Narrowing types with TypeIs
- 00:25:24 – TypedDict: Read-only items
- 00:27:50 – Random command line interface
- 00:29:54 – New copy.replace()
- 00:33:43 – Video Course Spotlight
- 00:34:55 – Pathlib and globbing
- 00:39:33 – Stripping docstrings
- 00:41:28 – Import improvements
- 00:41:56 – Dynamically import non-code files
- 00:42:23 – Adding iOS as a supported platform
- 00:43:32 – More consistency with local namespace
- 00:44:30 – Support for deprecation in argparse
- 00:45:00 – Better entry points for breakpoint or set_trace
- 00:46:08 – Removing dead batteries
- 00:47:43 – When to upgrade to 3.13?
- 00:53:19 – core.py podcast
- 00:54:14 – Thanks and goodbye
Show Links:
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11 October 2024, 12:00 pm
55 minutes 46 seconds

Using Virtual Environments in Docker & Comparing Python Dev Tools
Should you use a Python virtual environment in a Docker container? What are the advantages of using the same development practices locally and inside a container? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

We share a recent post by Hynek Schlawack about building Python projects using Docker containers. Hynek argues for using virtual environments for these projects, like developing a local one. He’s found that keeping your code in an isolated, well-defined location and structure avoids confusion and complexity.

We also discuss our development setups, including Python versions, code editors, virtual environment practices, terminals, and customizations. We dig into how your programming history affects the tools you use.

We share several other articles and projects from the Python community, including a group of new releases, addressing the “why” in comments, comparing a data science workflow in Python and R, removing common problems from CSV files, and a project for creating HTML tables in Django.

This episode is sponsored by InfluxData.

Course Spotlight: Advanced Python import Techniques

The Python import system is as powerful as it is useful. In this in-depth video course, you’ll learn how to harness this power to improve the structure and maintainability of your code.

Topics:
- 00:00:00 – Introduction
- 00:02:55 – Python Releases 3.12.6, 3.11.10, 3.10.15, 3.9.20, and 3.8.20
- 00:03:26 – Python Release Python 3.13.0rc2
- 00:04:07 – Django Security Releases Issued: 5.1.1, 5.0.9, and 4.2.16
- 00:04:36 – Polars Has a New Lightweight Plotting Backend
- 00:05:49 – Why I Still Use Python Virtual Environments in Docker
- 00:11:37 – How to Use Conditional Expressions With NumPy where()
- 00:15:55 – Sponsor: InfluxData
- 00:16:39 – PythonistR: A Match Made in Data Heaven
- 00:23:44 – Why Not Comments
- 00:26:48 – Video Course Spotlight
- 00:28:10 – Discussion: Personal development setups
- 00:51:01 – csv_trimming: Remove Common Ugliness From CSV Files
- 00:53:01 – django-tables2: Create HTML Tables in Django
- 00:54:39 – Thanks and goodbye
News:
Show Links:
- Polars Has a New Lightweight Plotting Backend – Polars 1.6 allows you to natively create beautiful plots without pandas, NumPy, or PyArrow. This is enabled by Narwhals, a lightweight compatibility layer between dataframe libraries.
- Why I Still Use Python Virtual Environments in Docker – Hynek often gets challenged when he suggests the use of virtual environments within Docker containers, and this post explains why he still does.
- How to Use Conditional Expressions With NumPy where() – This tutorial teaches you how to use the where() function to select elements from your NumPy arrays based on a condition. You’ll learn how to perform various operations on those elements and even replace them with elements from a separate array or arrays.
- PythonistR: A Match Made in Data Heaven – In data science you’ll sometimes hear a debate between R and Python. Cosima says ‘why not choose both?’ She outlines a data pipeline that uses the best tool for each job.
- Why Not Comments – This post talks about why you might want to include information in your code comments about why you didn’t take a particular approach.
Discussion:
Projects:
- csv_trimming: Remove Common Ugliness From CSV Files
- django-tables2: Create HTML Tables in Django
Additional Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
27 September 2024, 12:00 pm
1 hour 6 minutes

Thriving as a Developer With ADHD
What are strategies for being a productive developer with ADHD? How can you help your team members with ADHD to succeed and complete projects? This week on the show, we speak with Chris Ferdinandi about his website and podcast “ADHD For the Win!”

Chris struggled with productivity early in his career as a developer. He shares systems and strategies he’s discovered to harness the focusing power of ADHD.

We discuss time management, meetings, and maintaining productivity in a hectic world. Chris also shares resources for learning more about defining ADHD, self-evaluation, and how to keep getting things done.

This episode is sponsored by InfluxData.

Course Spotlight: Build a GUI Calculator With PyQt and Python

In this video course, you’ll learn how to create graphical user interface (GUI) applications with Python and PyQt. Once you’ve covered the basics, you’ll build a fully functional desktop calculator that can respond to user events with concrete actions.

Topics:
- 00:00:00 – Introduction
- 00:02:30 – Defining ADHD and how it aligns with coding
- 00:05:47 – Analogy for focus
- 00:06:51 – Can you sense the change in focus?
- 00:07:46 – The challenge of meetings
- 00:11:45 – Tips for managing time
- 00:15:44 – Capturing notes and defragging
- 00:18:48 – Sponsor: InfluxData
- 00:19:33 – Downtime and interruptions
- 00:25:26 – Remote work and focus
- 00:33:16 – Sitting still and meetings
- 00:37:39 – Video Course Spotlight
- 00:39:13 – Anything worth doing is worth doing poorly
- 00:47:36 – Prototypes and working on interesting things
- 00:50:26 – Deadlines and pomodoro timers
- 00:54:21 – Have your symptoms changed over time?
- 00:56:18 – Starting ADHDftw.com
- 00:59:12 – Decision to keep podcast episodes short
- 01:00:01 – Deciding on medication
- 01:02:02 – Resources available
- 01:03:29 – What motivates you to continue to learn programming?
- 01:04:06 – What do you want to learn next?
- 01:04:55 – What are other ways to follow your work online?
- 01:05:28 – Thanks and goodbye
Show Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
20 September 2024, 12:00 pm
54 minutes 26 seconds

Configuring Git Pre-Commit Hooks & Estimating Software Projects
How do you take advantage of Git pre-commit hooks? How do you build custom software checks and rules that run every time you commit your code? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

We share a trio of articles by previous guest Stefanie Molin about Git pre-commit hooks. Across the series, she provides step-by-step instructions for building your own hooks, managing them, and learning how they operate.

We discuss the process of estimating software development projects. We dig into the art of “guesstimation,” rough calculation, and napkin math. Christopher shares his experience in agile scenarios and measuring projects by story counts.

We share several other articles and projects from the Python community, including a news roundup, 10 Python programming optimization techniques, and building a blog in Django using GraphQL & Vue. We also explore experimenting with Python’s preprocessor, a toolkit for writing UIs in PyScript, and a couple of projects for working with Django Admin.

This episode is sponsored by InfluxData.

Course Spotlight: Python mmap: Doing File I/O With Memory Mapping

In this video course, you’ll learn how to use Python’s mmap module to improve your code’s performance when you’re working with files. You’ll get a quick overview of the different types of memory before diving into how and why memory mapping with mmap can make your file I/O operations faster.

Topics:
- 00:00:00 – Introduction
- 00:02:28 – Python Top Language of 2024
- 00:02:59 – Python Developers Survey 2023 Results
- 00:03:46 – How Pre-Commit Works
- 00:10:00 – Build a Blog Using Django, GraphQL, and Vue
- 00:13:38 – Sponsor: InfluxData
- 00:14:23 – 10 Python Programming Optimization Techniques
- 00:22:45 – Python’s Preprocessor
- 00:26:42 – Video Course Spotlight
- 00:28:16 – You don’t have to guess to estimate
- 00:44:18 – LTK is a little toolkit for writing UIs in PyScript
- 00:49:06 – django-admin-action-forms: Forms for Django Admin
- 00:52:09 – django-public-admin: A Public and Read-Only Django Admin
- 00:53:24 – Thanks and goodbye
News:
- Python Top Language of 2024 – “Python continues to cement its overall dominance, buoyed by things like popular libraries for hot fields such as A.I.” Read the article to see where other languages have placed.
- Python Developers Survey 2023 Results – Official Python Developers Survey 2023 Results by Python Software Foundation and JetBrains: more than 25k responses from almost 200 countries.
Show Links:
- How Pre-Commit Works – As a user of pre-commit hooks, do you know what happens when you run pre-commit install or why you have to run it in the first place? How does pre-commit actually work with Git? In this article, Stefanie takes you behind the scenes of how your pre-commit setup works.
- How to Set Up Pre-Commit Hooks - Stefanie Molin
- How to Create a Pre-Commit Hook - Stefanie Molin
- Build a Blog Using Django, GraphQL, and Vue – In this step-by-step project, you’ll build a blog from the ground up. You’ll turn your Django blog data models into a GraphQL API and consume it in a Vue application for users to read. You’ll end up with an admin site and a user-facing site you can continue to refine for your own use.
- 10 Python Programming Optimization Techniques – Optimization should be your last step, but once you’re there, just what can you do? This article covers ten different techniques that address memory size and code performance.
- Python’s Preprocessor – Every now and then you hear outrageous claims such as “Python has no preprocessor,” well it is there if you’re willing to dig deep enough. Learn how to hack Python’s compile step.
Discussion
- You Don’t Have to Guess to Estimate
- Habits of Great Software Engineers
Projects:
Additional Links:
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13 September 2024, 12:00 pm
1 hour 6 minutes

Astrophysics and Astronomy With Python & PyCon Africa 2024
Are you interested in practicing your Python skills while learning how to solve astrophysics and astronomy problems? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

Christopher shares a pair of his recent Real Python video courses about exploring astronomy and astrophysics with Python. Throughout the courses, you’ll get to practice using a variety of data science libraries, such as NumPy, Matplotlib, pandas, pint, and Astropy.

We speak with Mannie Young who is the Organizing Committee Chair of PyCon Africa. Real Python is excited to be a contributing sponsor of this year’s conference. Mannie discusses reinvigorating a continent-spanning conference after a multiyear hiatus. He also talks about introducing Python to students and new developers across Africa through PyClubs, PyLadies, and PyData programs.

We share several other articles and projects from the Python community, including a news roundup, logging in Python, understanding operator precedence, reconciling why it only works on your machine, a fast way to create an HTML app, and a tool for deep inspection of Python objects.

This episode is sponsored by InfluxData.

Course Spotlight: Sorting Dictionaries in Python: Keys, Values, and More

In this video course, you’ll learn how to sort Python dictionaries. By the end, you’ll be able to sort by key, value, or even nested attributes. But you won’t stop there, you’ll also measure the performance of variations when sorting and compare different key-value data structures.

Topics:
- 00:00:00 – Introduction
- 00:03:05 – PEP 750: Tag Strings for Domain-Specific Languages
- 00:05:19 – PEP 752: Package Repository Namespaces
- 00:07:32 – PyCon US 2024 Recap and Recording Release
- 00:08:01 – Logging in Python
- 00:14:57 – It Works on My Machine. Why?
- 00:17:33 – Python’s Operator Precedence
- 00:20:54 – Exploring Astrophysics in Python With pandas and Matplotlib
- 00:24:03 – Using Astropy for Astronomy With Python
- 00:26:37 – Sponsor: InfluxData
- 00:27:22 – fasthtml: The Fastest Way to Create an HTML App
- 00:32:50 – wat: Deep Inspection of Python Objects
- 00:38:08 – PyCon Africa 2024
- 00:40:47 – What goes into re-energizing a conference?
- 00:44:20 – Talks and speakers
- 00:46:58 – Video Course Spotlight
- 00:48:29 – How did you get involved?
- 00:52:19 – PyClubs and growing Python education
- 00:58:41 – What industries are using Python in Ghana?
- 01:00:20 – Sponsorship and support
- 01:01:51 – Travel in and outside the continent
- 01:04:23 – Call to action
- 01:05:05 – Thanks and goodbye
News:
- PEP 750: Tag Strings for Domain-Specific Languages (Added)
- PEP 752: Package Repository Namespaces (Added)
- PyCon US 2024 Recap and Recording Release – PyCon US 2024 had a record breaking attendance with over 2,700 in-person tickets sold. This article is a recap from the conference runners and links to all the available recordings.
Show Links:
- Logging in Python – If you use Python’s print() function to get information about the flow of your programs, then logging is the natural next step for you. This tutorial will guide you through creating your first logs and show you ways to curate them to grow with your projects.
- It Works on My Machine. Why? – A list of things to check when something works on your computer but not on someone else’s.
- Python’s Operator Precedence – Stephen uses a story-telling style to explain how operator precedence works in Python.
- Exploring Astrophysics in Python With pandas and Matplotlib – This course uses three problems often covered in introductory astro-physics courses to play in Python. Along the way you’ll learn some astronomy and how to use a variety of datascience libraries like NumPy, Matplotlib, pandas, and pint.
- Using Astropy for Astronomy With Python – This course covers two problems from introductory astronomy to help you play with some Python libraries. You’ll use NumPy, Matplotlib, and pandas to find planet conjunctions, and graph the best viewing times for a star.
Projects:
- fasthtml: The Fastest Way to Create an HTML App
- wat: Deep Inspection of Python Objects
Additional Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
6 September 2024, 12:00 pm
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