mostly-adequate-guide
papermill
Our great sponsors
mostly-adequate-guide | papermill | |
---|---|---|
20 | 26 | |
23,155 | 5,615 | |
0.4% | 1.2% | |
6.2 | 7.9 | |
4 months ago | 9 days ago | |
JavaScript | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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.
mostly-adequate-guide
- Mostly adequate guide to Functional Programming (in JavaScript)
-
Anyone use Git for writing projects?
This project might serve as inspiration: https://github.com/MostlyAdequate/mostly-adequate-guide
-
[AskJS] Is there a website out there for learning functional programming in javascript?
i like reading this book directly from github with dark mode, also the subheading don't work in the gitbook website and gitbook is abandoned, here's the github link: https://github.com/MostlyAdequate/mostly-adequate-guide/blob/master/SUMMARY.md
- FE devs, ceva sfaturi pentru un junior?
- How do you run an effective clean code book club, and looking for homework ideas?
- [AskJS] object oriented or functional , which one you guys oftenly use while writing code in vanilla JavaScript?
-
FP techniques that will help you write better JavaScript
It’s been a while since I focused on FP, but I recall finding this useful quite often and gleaning the concepts from it relatively easily.
https://github.com/MostlyAdequate/mostly-adequate-guide
I found a lot of articles like the OP, and ultimately they left me confused about the benefits in the beginning. I found it more useful to avoid one off articles and dig into larger pieces of work where the author put in much more care.
-
Help an old OO developer figure out current practices for structuring server side javascript?
On the book front, there are two that I am fond of which have a focus on JavaScript and FP, Professor Frisby’s Mostly Adaquate Guide, and Functional Light JavaScript. They are nice practical books that help you lean into JS’s strength as an FP language while writing real code.
-
Ask HN: Hey Functional Programmers, how did you learn functional programming
So, this is going to be an uphill battle for you. I suggest you actually learn Haskell first, and then you'll be able to apply its lessons to TypeScript.
Its tricky because these are patterns that are familiar in Haskell but are not really taught in other settings.
Additionally, to really learn these, you need to experiment with them. Use them. etc. That's pretty hard to do if the learning resources are mostly in haskell and you don't really understand it.
Alternatively, this might help: https://github.com/MostlyAdequate/mostly-adequate-guide
Also alternatively, what I would do is just go slowly through the fp-ts code. Look at it a piece at a time and slowly grow your understanding.
This may also help https://www.amazon.com/Domain-Modeling-Made-Functional-Domai...
- What is your most controversial Python-related opinion?
papermill
-
Spreadsheet errors can have disastrous consequences – yet we keep making them
Pandas docs > Comparison with spreadsheets: https://pandas.pydata.org/docs/getting_started/comparison/co...
Pandas docs > I/O > Excel files: https://pandas.pydata.org/docs/user_guide/io.html#excel-file...
nteract/papermill: https://github.com/nteract/papermill :
> papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks. [...]
> This opens up new opportunities for how notebooks can be used. For example:
> - Perhaps you have a financial report that you wish to run with different values on the first or last day of a month or at the beginning or end of the year, using parameters makes this task easier.
"The World Excel Championship is being broadcast on ESPN" (2022) https://news.ycombinator.com/item?id=32420925 :
> Computational notebook speedrun ideas:
-
Jupyter Kernel Architecture
There is Papermill ... https://github.com/nteract/papermill
-
Git and Jupyter Notebooks Guide
https://github.com/jupyter/enhancement-proposals/pull/103#is...
Papermill is one tool for running Jupyter notebooks as reports; with the date in the filename. https://papermill.readthedocs.io/en/latest/
-
JupyterLab 4.0
You may be interested in papermill to address the parametrized analysis problem [1]. I think (but I'm not positive) this is what the data team at a previous job used to automate running notebooks for all sorts nightly reports.
-
Show HN: Mercury – convert Jupyter Notebooks to Web Apps without code rewriting
I'm using Papermill to operationalize Notebooks (https://github.com/nteract/papermill), it e.g. also has airflow support. I'm really happy with papermill for automatic notebook execution, in my field it's nice that we can go very quickly from analysis to operations -- while having super transparent "logging" in the executed notebooks.
-
What's the best thing/library you learned this year ?
papermill bcpandas fastapi
-
Does the Jupyter API allow using Jupyter from the CL?
But you can execute your notebook using Jupyter-run or papermill.
-
Running Jupyter notebooks in parallel
As a first option, we will use Papermill, which has a Python API that allows us to run different notebooks using some functions:
-
Tips for using Jupyter Notebooks with GitHub
Papermill can also target cloud storage outputs for hosting rendered notebooks, execute notebooks from custom Python code, and even be used within distributed data pipelines like Dagster (see Dagstermill). For more information, see the papermill documentation.
-
Three Tools for Executing Jupyter Notebooks
Papermill Source Code
What are some alternatives?
fp-ts-std - The missing pseudo-standard library for fp-ts.
nbconvert - Jupyter Notebook Conversion
fp-ts - Functional programming in TypeScript
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
functional-programming-jargon - Jargon from the functional programming world in simple terms!
airflow-notebook - This repository is no longer maintained.
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
nbdev - Create delightful software with Jupyter Notebooks
gleam - ⭐️ A friendly language for building type-safe, scalable systems!
voila - Voilà turns Jupyter notebooks into standalone web applications
haskell-language-server - Official haskell ide support via language server (LSP). Successor of ghcide & haskell-ide-engine.
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts