lucet
Pandas
Our great sponsors
lucet | Pandas | |
---|---|---|
5 | 393 | |
4,061 | 41,923 | |
- | 1.4% | |
6.6 | 10.0 | |
about 2 years ago | 2 days ago | |
Rust | Python | |
Apache License 2.0 | 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.
lucet
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Unlocking the Power of WebAssembly
WebAssembly is extremely portable. WebAssembly runs on: all major web browsers, V8 runtimes like Node.js, and independent Wasm runtimes like Wasmtime, Lucet, and Wasmer.
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A Look at Performance in Wasmtime and Cranelift
The bytecode alliance had the lucet project which would be an OS executing WASM application, enabling very strict sandboxing.
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Your python 4 dream list.
References for anyone following: wasmtime Lucet
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There are a *lot* of actor framework projects on Cargo.
I guess lucet could be an under-layer for this but it's not really the same, different levels of the stack. Fascinating.
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Writing Rust the Elixir way
I also want to use this opportunity to say a big thank you to the teams working on Rust, Wasmer, Wasmtime, Lucet and waSCC. It would be impossible to build Lunatic without all the hard work put into this projects.
Pandas
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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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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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
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10 Github repositories to achieve Python mastery
Explore here.
What are some alternatives?
lunatic - The Lunatic VM [Moved to: https://github.com/lunatic-solutions/lunatic]
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
genact - 🌀 A nonsense activity generator
tensorflow - An Open Source Machine Learning Framework for Everyone
async-std - Async version of the Rust standard library
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Celluloid - Actor-based concurrent object framework for Ruby
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Kubewarden - Kubewarden is a policy engine for Kubernetes. It helps with keeping your Kubernetes clusters secure and compliant. Kubewarden policies can be written using regular programming languages or Domain Specific Languages (DSL) sugh as Rego. Policies are compiled into WebAssembly modules that are then distributed using traditional container registries.
Keras - Deep Learning for humans
specs - Specs - Parallel ECS
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration