Think Python
Google's Python Class
The New Boston video series
A Byte of Python
Hackr.io
Learn Python The Hard Way
Corey Schafer Youtube
Udacity - CS101
Tangent.fyi
Likewise
TasteDive
Simkl
ratehouse
Pix
Flixster
IMDb
Tangent is a cross-media recommendation engine for books, movies, TV, and podcasts.
Most recommendation systems live inside a single platform: Netflix suggests Netflix, Goodreads suggests Goodreads. But taste doesn't work that way, it moves across formats. Tangent maps every work in its catalog into a shared taste space based on theme, mood, and the questions a story is asking, rather than genre labels. That means it can trace a connection from a film to a novel to a podcast, and surface things a single-medium engine structurally cannot.
You start by picking your Tangent Ten, up to ten favorites from any medium, or by importing your existing history from Goodreads, Letterboxd, or a CSV. From there you can browse a daily Deck of recommendations that sharpens with each save or pass, and build shareable cross-media lists around a mood, theme, or idea, alone or with friends.
There's no feed, no streaks, and no engagement loop. If you install the app you can opt into a single daily notification with your Deck. Otherwise, Tangent sits there until you want it. It's a tool you open when you need something to read, watch, or listen to next, and then close. Free to use, and you can try it without an account.
Think Python
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Tangent.fyi's answer:
Tangent is the only recommendation engine built around the idea that taste doesn't stop at format. Goodreads recommends books, Letterboxd recommends films, Spotify recommends podcasts, each one is trapped inside its own catalog. Tangent maps books, movies, TV, and podcasts into a single taste space, so it can answer questions no single-medium tool can: what's the book that feels like Everything Everywhere All at Once, or the podcast that scratches the same itch as The Good Place.
The second thing that makes it unusual is what it deliberately doesn't do. There's no feed, no streaks, no engagement loop. Just one notification per day reminding you of your daily picks. It's a tool you open when you want something to read or watch next, and then close. We want you to enjoy your recommendations.
Tangent.fyi's answer:
I would call them media omnivores... people who read, watch, and listen with roughly equal enthusiasm and don't think of those as separate hobbies. They usually already track their consumption somewhere (Goodreads, Letterboxd, a notes app, a spreadsheet), and they're the kind of person who finishes a novel and immediately wants to know what film is in conversation with it.
They also tend to be people who have actively opted out of attention-extractive software. They've muted the notifications, deleted the apps with streaks, and are wary of anything designed to keep them scrolling. Tangent is built for that audience.
Tangent.fyi's answer:
Tangent isn't trying to replace the tools you already use, we sit on top of them. You can import your Goodreads or Letterboxd history (or a CSV) and your library is half-built in a minute. We'll even pull in your Goodreads on a recurring basis afterwards.
What you get in return is the connection those tools can't make. Their recommendation engines are structurally limited to their own medium, so a Goodreads user who loves a particular emotional register has no way to find the film or podcast that shares it. Tangent traces the theme, mood, and shape of a work rather than its genre label, which means it surfaces things a genre-based system would never put next to each other.
It's also free, requires no account to try, and doesn't monetize your attention.
Tangent.fyi's answer:
It started with a recurring frustration from my partner. She was continually finishing something great and having no good way to find its cross-media siblings. Every recommendation system she used was walled inside one format. Tangent is a solo project, built nights and weekends and self-funded. The core technical idea is that if you embed works from every medium into the same vector space, using themes, mood, structure, and the questions a work is asking rather than its genre tag, the connections across formats become findable. The catalog grows itself as people use it, which was the only way a one-person project could reach meaningful coverage.
It's a small, deliberately unambitious piece of software in the best sense: it does one thing really well, doesn't ask for your attention, and gets out of the way.
Based on our record, Think Python seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This course actually starts with an introduction to Python. Since you don't have access yet, you can give Think Python a whirl - https://greenteapress.com/wp/think-python/ and for a more interactive experience, I really enjoyed this one - https://scrimba.com/learn/python. Source: over 3 years ago
Start with Think Python or learn x in y..both are free resources and good for basic understanding and practise. Source: over 3 years ago
This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: about 4 years ago
In terms of learning the basics of Python programming, you can get the first edition of Think Python in PDF form for free. Source: over 4 years ago
Computer Science โ For understanding software development. As for a programming language to learn, I recommend Python or Javascript. Try Crash Course's Computer Science videos, the free Think Python book, and/or Part 1 of The Modern JavaScript Tutorial. Source: over 4 years ago
Google's Python Class - Assorted educational materials provided by Google.
Likewise - Get recommendations you love, from people you know.
The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.
A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.
Simkl - Simkl is a TV, anime, and movie tracker that keeps a history of all the shows and movies you watch in one, central location. Itโs a mobile app, a website, Google Chrome extension to keep track of everything you watch and integrates with many TV apps