ydata-profiling
jupyterlab-lsp
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ydata-profiling | jupyterlab-lsp | |
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43 | 17 | |
11,923 | 1,711 | |
1.5% | 2.5% | |
8.5 | 9.5 | |
8 days ago | 13 days ago | |
Python | TypeScript | |
MIT License | 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.
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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.
ydata-profiling
- FLaNK 25 December 2023
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First 15 Open Source Advent projects
6. Ydata-synthetic and Ydata-profiling by YData | Github | tutorial
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Coding Wonderland: Contribute to YData Profiling and YData Synthetic in this Advent of Code
Send us your North ⭐️: "On the first day of Christmas, my true contributor gave to me..." a star in my GitHub tree! 🎵 If you love these projects too, star ydata-profiling or ydata-synthetic and let your friends know why you love it so much!
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Simulating sales data
If you're not sure about the behaviour of your data (i.e., if the original data has properties like seasonality), you can use ydata-profiling to profile your data first.
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I recorded a Data Science Project using Python and uploaded it on Youtube
Super cool! For EDA, you could give ydata-profiling a spin sometime and speed up the process!
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pandas-profiling VS Rath - a user suggested alternative
2 projects | 12 Jan 2023
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The Data-Centric AI Community is on Discord 👾
Alternatively, if you found DCAI through pandas-profiling or ydata-synthetic you can find support for your troubleshooting and provide feedback on interesting features!
- [Discussion] - "data sourcing will be more important than model building in the era of foundational model fine-tuning"
- Data profiling as part of a data reliability strategy?
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GitHub repository with helpful python programs to quickly run through datasets and give a brief summary of it's statistics.
As a learning project, this is nice, but for standard use, what would be the advantage of this over just loading a program into Pandas and calling df.describe()? And if you need more complete details on a data set, using the pandas-profiling package?
jupyterlab-lsp
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Is there anything like a running Jupyter Kernel LSP?
I've recently seen JupyterLab LSP that bring the static analysis aspect of LSP to the notebook, and been wondering if there is anything similar that try to bridge a running kernel back into Neovim.
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Alternatives to Rstudio
JupyterLab is optimised for handling R, Python and Julia. Code intelligence-wise it requires installing jupyterlab-lsp to get all the best features.
- Good examples of well formatted Jupyter notebooks?
- IDE for data scientists
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[D] Why is Google Colab free?
On the upside, going down this rabbit hole also made me install jupyterlab-lsp for VS Code like auto complete, and jupyterlab_code_formatter to have auto formatting in notebooks.
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What's new in Elyra 2.0
JupyterLab optionally supports these features by integrating with Language Servers using the jupyterlab-lsp extension. Language Servers are available for many languages, including Python and R. Note that some Language Servers might not support every convenience feature.
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[D] Official Jupyter survey. How can Jupyter bet fit your workflow?
Heard that. Check out these LSP extensions https://github.com/krassowski/jupyterlab-lsp I expect more like that will make their way into the main experience.
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IDE options aside from VS Code?
JupyterLab with the lsp extension?
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Better editor for jupyter notebook
Make sure to try out experimental IDE features with: https://github.com/krassowski/jupyterlab-lsp
There is also ongoing work on adding more IDE features (autocompletion, diagnostics, hover, jump to definition) for JupyterLab here: https://github.com/krassowski/jupyterlab-lsp It also experimentally works with JupyterLab Classic which is a backport of the old notebook interface using the new JupyterLab infrastructure.
What are some alternatives?
dtale - Visualizer for pandas data structures
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
lux - Automatically visualize your pandas dataframe via a single print! 📊 💡
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
polynote - A better notebook for Scala (and more)
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
dataprep - Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
Spyder - Official repository for Spyder - The Scientific Python Development Environment
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
ansible-language-server - 🚧 Ansible Language Server codebase is now included in vscode-ansible repository