The Python Podcast.__init__
The podcast about Python and the people who make it great
About the show
The podcast about Python and the people who make it great
Episodes
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Unleash The Power Of Dataframes At Any Scale With Modin
July 21st, 2021 | 38 mins 53 secs
An interview with Devin Petersohn about his work on Modin to make scaling Pandas workflows effortless from a single laptop to an entire datacenter.
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Exploring The SpeechBrain Toolkit For Speech Processing
July 13th, 2021 | 37 mins 26 secs
An interview about the open source SpeechBrain library for research on deep learning applications of speech audio data
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Fast And Educational Exploration And Analysis Of Graph Data Structures With graph-tool
July 6th, 2021 | 41 mins 59 secs
An interview with Tiago Peixoto about how his research and his open source efforts have come together in graph-tool to support fast exploration and analysis of graph data structures
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Lightening The Load For Deep Learning With Sparse Networks Using Neural Magic
June 29th, 2021 | 48 mins 32 secs
An interview with Nir Shavit about his work with Neural Magic to simplify the work of pruning deep learning networks and running them at full speed on commodity hardware
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Finding The Core Of Python For A Bright Future With Brett Cannon
June 22nd, 2021 | 1 hr 3 mins
A meandering exploration of Brett Cannon's work to standardize the Python language and packaging ecosystem, and how that will keep it relevant long into the future.
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Traversing The Challenges And Promise Of Graph Machine Learning
June 15th, 2021 | 47 mins 47 secs
An interview with Benedek Rozemberczki about his open source contributions and research in graph machine learning problems.
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Keep Your Analytics Lint Free With SQLFluff
June 8th, 2021 | 1 hr 13 mins
An interview about how the SQLFluff project lints and formats SQL code, why it took so long for something like this to exist, and how you can use it to keep your SQL analytics neat and tidy
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Exploring The Patterns And Practices For Deep Learning With Andrew Ferlitsch
June 1st, 2021 | 44 mins 19 secs
An interview with Andrew Ferlitsch about his experiences building and teaching deep learning models and his work on a book to capture those lessons for everyone to learn from.
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Automatically Generate Your Unit Tests From Scratch With Pynguin
May 24th, 2021 | 57 mins 40 secs
An interview about the Pynguin project and how it is able to automatically generate unit tests for Python applications.
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Leveling Up Natural Language Processing with Transfer Learning
May 17th, 2021 | 46 mins 34 secs
An interview with Paul Azunre about how you can use transfer learning techniques to build more flexible natural language processing systems and reduce the requirements for labelled data.
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Federated Learning For All With Flower
May 10th, 2021 | 1 hr 1 min
An interview about the Flower framework for federated learning and how you can use it to push your machine learning to the edge.
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Data Exploration and Visualization Made Effortless with Lux
May 3rd, 2021 | 51 mins 5 secs
An interview with Doris Lee about the Lux project for data exploration and automatic visualization and how it can speed up your analysis workflow.
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Extensible Open Source Authorization For Your Applications With Oso
April 26th, 2021 | 51 mins 49 secs
An interview about how you can use the open source Oso framework to make authorization easy to implement and maintainable for your application.
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Teaching Geeks The Value And Skills Of Public Speaking
April 19th, 2021 | 42 mins 54 secs
An interview with Neil Thompson about the benefits of public speaking as an engineer and how to gain the skills to be effective at it.
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Let The Robots Do The Work Using Robotic Process Automation with Robocorp
April 12th, 2021 | 45 mins 33 secs
An interview about how Robocorp is building and supporting tools for robotic process automation in Python to make it easier to cut down on menial tasks on the computer and let the robots do the work.
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Keep Your Code Clean And Maintainable Using Static Analysis With Flake8
April 5th, 2021 | 49 mins 31 secs
An interview about the Flake8 static analysis framework for Python and how you can use it to keep your code clean and maintainable