responsively-app
nbdev
responsively-app | nbdev | |
---|---|---|
62 | 45 | |
21,721 | 4,744 | |
0.4% | 0.5% | |
8.9 | 6.5 | |
8 days ago | 3 days ago | |
JavaScript | Jupyter Notebook | |
GNU Affero General Public License v3.0 | 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.
responsively-app
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10 Game-Changing Tools You should Bookmark Now😎🔖
⭐ Responsively on GitHub 👉: Responsively
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19 Handy Websites for Web Developers
A dеv-tool that hеlps with fastеr responsive wеb apps dеvеlopmеnt.
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But can your browser do this? :)
How does this differ from tools like https://responsively.app/ ?
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Our Team's Favourite Open Source Projects Right Now
Website: https://responsively.app Github: https://github.com/responsively-org/responsively-app
- A modified web browser that helps in responsive web development
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How to test a page for screens larger that my own?
I appreciate the tip, it really appears to be that Chrome behaves very differently in this regard comparing to Firefox. Yet responsively.app, that was mentioned in the thread, topped them both in terms of usability.
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Programmi o siti ESSENZIALI per Web Developing
https://responsively.app/ - > browser per testare il responsive
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How do I make sure the mobile version of my site displays the same across all devices?
This is also handy: https://responsively.app/
- Open source multi-viewport browser
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GitHub Accelerator: our first cohort and what's next
- https://github.com/responsively-org/responsively-app: A dev-tool for web developers that aid in faster responsive web page development.
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.
What are some alternatives?
flexbox-guide - ⚡ A Guide for the concept of Flexbox and responsive design. Simply set the attributes as you needed and copy the CSS code. 🎉
papermill - 📚 Parameterize, execute, and analyze notebooks
codetour - VS Code extension that allows you to record and play back guided tours of codebases, directly within the editor.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
CommunityWriterPrograms - A list of Developer Community Writer Programs
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]
HEAD - A simple guide to HTML <head> elements
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Vue.js - This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
rr - Record and Replay Framework
osx-serial-generator - Mac Serial Generator - Generate complete sets of Serial Numbers for OSX-KVM, Docker-OSX and of course, OpenCore.
Jupyter-PowerShell - Jupyter Kernel for PowerShell