Python Programming
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A game of tokens: write an interpreter in Python with TDD - Part 5
This is part 5 of A game of tokens, a series of posts where I build an interpreter in Python following a pure TDD methodology and engaging you in a sort of a game: I give you the tests and you have to write the code that passes them. After part 4 I had a long hiatus because I focused on other projects, but now I resurrected this series and I'm moving on.\
First of all I reviewed the first 4 posts, merging the posts that contained the solutions. While this is definitely better for me, I think it might be better for the reader as well, this way it should be easier to follow along. Remember however that you learn if you do, not if you read!\
Secondly, I was wondering in which direction to go, and I decided to shamelessly follow the steps of Ruslan Spivak, who first inspired this set of posts and who set off to build an Pascal interpreter; you can find the impressive series of posts Ruslan wrote on his website. Thank you Ruslan for the great posts!
So, let's go Pascal! -
Will McGugan: A prettier Python REPL with Rich
Rich 5.1.0 adds the ability to integrate highlighted pretty printing with the Python REPL.
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Montreal Python User Group: Montréal-Python 79 – Quadratic Judo
Summer nears its end and Montréal-Python is coming back from vacation. Before going back to school or to work, come and tell us what new Pythonic things during the summer. As always, we are looking for passionate people who want to share with the community. Be it about a project that you have built or a library that you learned, send us your talk proposal to mtlpyteam@googlegroups.com . Talks duration can be anywhere between 5 and 20 minutes. We accept all reasonable proposals until the program is complete. We can't wait to read your proposal!
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Full Stack Python: How to Transcribe Speech Recordings into Text with Python
When you have a recording where one or more people are talking, it's useful to have a highly accurate and automated way to extract the spoken words into text. Once you have the text, you can use it for further analysis or as an accessibility feature.
In this tutorial, we'll use a high accuracy speech-to-text web application programming interface called AssemblyAI to extract text from an MP3 recording (many other formats are supported as well).
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Marc Richter: Create your own Telegram bot with Django on Heroku – Part 11 – Apologies for the long pause!
If you are reading this on any other page, which is not some “planet” or aggregator, you are reading stolen content. Please read this article at its source, which is linked before to ensure to get the best reading experience; thank you!
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Python 3.8.5 : Pearson Product Moment Correlation with corrcoef from numpy.
The python package named numpy come with corrcoef function to return Pearson product-moment correlation coefficients.
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AI-COLOR-SEPARATOR
In here I will be writing out some code to detect top colours in an image using ML and display the stats.
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PSF GSoC students blogs: [Week 10] Check-in
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PSF GSoC students blogs: Weekly Check-In: Week 11
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PSF GSoC students blogs: GSoC: Week #11
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PSF GSoC students blogs: Weekly Check-in #11
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PSF GSoC students blogs: Weekly Check-in #11
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