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The Python Podcast.__init__
The podcast about Python and the people who make it great
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Tobias Macey
Tobias Macey
Driving Toward A Faster Python Interpreter With Pyston - E298
Summary
One of the common complaints about Python is that it is slow. There are languages and runtimes that can execute code faster, but they are not as easy to be productive with, so many people are willing to make that tradeoff. There are some use cases, however, that truly need the benefit of…
Summary
One of the common complaints about Python…
19 January 2021 | 00:44:07
Project Scaffolding That Evolves With Your Software Using Copier - E297
Summary
Every software project has a certain amount of boilerplate to handle things like linting rules, test configuration, and packaging. Rather than recreate everything manually every time you start a new project you can use a utility to generate all of the necessary scaffolding from a template.…
Summary
Every software project has a certain…
12 January 2021 | 00:57:57
How Python's Evolution Impacts Your Fluency With Luciano Ramalho - E296
Summary
On its surface Python is a simple language which is what has contributed to its rise in popularity. As you move to intermediate and advanced usage you will find a number of interesting and elegant design elements that will let you build scalable and maintainable systems and design friendly…
Summary
On its surface Python is a simple…
05 January 2021 | 01:00:13
Making Content Management A Smooth Experience With A Headless CMS - E295
Summary
Building a web application requires integrating a number of separate concerns into a single experience. One of the common requirements is a content management system to allow product owners and marketers to make the changes needed for them to do their jobs. Rather than spend the time and…
Summary
Building a web application requires…
28 December 2020 | 00:48:51
Turning Notebooks Into Collaborative And Dynamic Data Applications With Hex - E294
Summary
Notebooks have been a useful tool for analytics, exploratory programming, and shareable data science for years, and their popularity is continuing to grow. Despite their widespread use, there are still a number of challenges that inhibit collaboration and use by non-technical stakeholders.…
Summary
Notebooks have been a useful tool for…
21 December 2020 | 00:42:39
Add Anomaly Detection To Your Time Series Data With Luminaire - E293
Summary
When working with data it’s important to understand when it is correct. If there is a time dimension, then it can be difficult to know when variation is normal. Anomaly detection is a useful tool to address these challenges, but a difficult one to do well. In this episode Smit Shah…
Summary
When working with data it’s…
15 December 2020 | 00:54:24
Building Big Data Pipelines For Audio With Klio - E292
Summary
Technologies for building data pipelines have been around for decades, with many mature options for a variety of workloads. However, most of those tools are focused on processing of text based data, both structured and unstructured. For projects that need to manage large numbers of binary…
Summary
Technologies for building data pipelines…
07 December 2020 | 00:53:37
Open Sourcing The Anvil Full Stack Python Web App Platform - E291
Summary
Building a complete web application requires expertise in a wide range of disciplines. As a result it is often the work of a whole team of engineers to get a new project from idea to production. Meredydd Luff and his co-founder built the Anvil platform to make it possible to build full…
Summary
Building a complete web application…
01 December 2020 | 00:51:23
Pants Has Got Your Python Monorepo Covered - E290
Summary
In a software project writing code is just one step of the overall lifecycle. There are many repetitive steps such as linting, running tests, and packaging that need to be run for each project that you maintain. In order to reduce the overhead of these repeat tasks, and to simplify the…
Summary
In a software project writing code is…
23 November 2020 | 00:51:39
Scale Your Data Science Teams With Machine Learning Operations Principles - E289
Summary
Building a machine learning model is a process that requires well curated and cleaned data and a lot of experimentation. Doing it repeatably and at scale with a team requires a way to share your discoveries with your teammates. This has led to a new set of operational ML platforms. In this…
Summary
Building a machine learning model is a…
17 November 2020 | 00:51:58