nbdev
datasette
nbdev | datasette | |
---|---|---|
45 | 187 | |
4,744 | 8,955 | |
0.6% | - | |
6.5 | 9.3 | |
8 days ago | 6 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nbdev
- The Jupyter+Git problem is now solved
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What is literate programming used for?
One example I've seen is ML/DL folks using jupyter notebooks to develop DL libraries in jupyter notebooks, see https://github.com/fastai/nbdev
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GitHub Accelerator: our first cohort and what's next
- https://github.com/fastai/nbdev: Increase developer productivity by 10x with a new exploratory programming workflow.
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Startups are in first batch of GitHub OS Accelerator
9. Nbdev: Boost developer productivity with an exploratory programming workflow - https://nbdev.fast.ai/
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Start learning python for a Statistician with SAS experience and little R experience
See if you like nbdev way of working with data through python and jupyter. nbdev is an optional part that will create python packages from jupyter notebooks. Also even the simple tutorials are opinionated and will guide you to unit test your code and write CICD pipelines.
- FastKafka - free open source python lib for building Kafka-based services
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isn't this just too much for a take home assignment?
You probably don’t have time for this for the purposes of your task, but I will also throw in the recommendation of nbdev especially if you’re a Python person. I haven’t had a project to use it on yet, but I’ve gone through the docs and the walkthrough and it seems like a great framework for starting potential projects with all the infrastructure needed for if/when they eventually get big and need all the packaging and stuff
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Any experience dealing with a non-technical manager?
nbdev: jupyter notebooks -> python package
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Resources to bridge the gap between jupyter notebooks and regular python development
Take a look at https://github.com/fastai/nbdev - haven't used it but supposedly the whole if fast.ai library was written that way. It sounds like a natural direction in your scenario - allowing your to keep working in a familiar environment and still producing production ready code (will, at least in paper 😅)
- Rant: Jupyter notebooks are trash.
datasette
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Ask HN: High quality Python scripts or small libraries to learn from
Simon Willison's github would be a great place to get started imo -
https://github.com/simonw/datasette
- Show HN: TextQuery – Query and Visualize Your CSV Data in Minutes
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Little Data: How do we query personal data? (2013)
I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/
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LaTeX and Neovim for technical note-taking
I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:
1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.
2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.
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Daily Price Tracking for Trader Joes
Were you aware of, or tempted by https://datasette.io/ for creating your solution?
- SQLite-Web: Web-based SQLite database browser written in Python
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Ask HN: What two software products should have a kid?
Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.
I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.
Not too literally, but more on the conceptual level - my level of programming is low.
E.g. Just some....
- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]
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Ask HN: Looking for a project to volunteer on? (February 2024)
You might like the Datasette project: https://datasette.io/
I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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What We Watched: A Netflix Engagement Report – About Netflix
> uploads of boring raw excel data and receive a nice UI
https://datasette.io/
What are some alternatives?
papermill - 📚 Parameterize, execute, and analyze notebooks
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
duckdb - DuckDB is an in-process SQL OLAP Database Management System
dbt - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. [Moved to: https://github.com/dbt-labs/dbt-core]
sql.js-httpvfs - Hosting read-only SQLite databases on static file hosters like Github Pages
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
litestream - Streaming replication for SQLite.
rr - Record and Replay Framework
Sequel-Ace - MySQL/MariaDB database management for macOS
Jupyter-PowerShell - Jupyter Kernel for PowerShell
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.