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Linking pages
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- Data Engineering in Rust https://www.statcan.gc.ca/en/data-science/network/engineering-rust 26 comments
- https://jacobtomlinson.dev/posts/2023/sometimes-i-regret-using-calver/ 23 comments
- Don’t Be Intimidated — Learn How to Run AWS on Your Local Machine With LocalStack | by Timothy Mugayi | Better Programming https://medium.com/better-programming/dont-be-intimidated-learn-how-to-run-aws-on-your-local-machine-with-localstack-2f3448462254 17 comments
- Introducing spaCy v2.2 · Explosion https://explosion.ai/blog/spacy-v2-2 9 comments
- Hamilton: Scaling to Match your Data! | Stitch Fix Technology â Multithreaded https://multithreaded.stitchfix.com/blog/2022/02/22/scaling-hamilton/ 9 comments
- GitHub - chalice-dev/awesome-chalice: ☁️ Awesome Chalice: Community list of resources about AWS Chalice, a Python framework for writing serverless applications. https://www.github.com/chalice-dev/awesome-chalice 7 comments
- ConnectorX: The fastest library for loading your Python data frame | by Xiaoying Wang | Towards Data Science https://towardsdatascience.com/connectorx-the-fastest-way-to-load-data-from-databases-a65d4d4062d5 7 comments
- The best open source software of 2021 | InfoWorld https://www.infoworld.com/article/3637038/the-best-open-source-software-of-2021.html 5 comments
- Top 11 Python Libraries for Mathematics and Computation | PythonStacks https://www.pythonstacks.com/blog/post/libraries-mathematics-and-computation/ 3 comments
- The Definitive Data Scientist Environment Setup https://davidadrian.cc/definitive-data-scientist-setup/ 2 comments
- The Beginner’s Guide to Distributed Computing | by Richard Pelgrim | Towards Data Science https://towardsdatascience.com/the-beginners-guide-to-distributed-computing-6d6833796318 2 comments
- 10 Best and Essential Python Tools for Data Science in 2022 https://www.ubuntupit.com/best-and-essential-python-tools-for-data-science/ 2 comments
- Life After Hadoop: Getting Data Science to Work for Your Business | by Josh Patterson | Towards Data Science https://towardsdatascience.com/life-after-hadoop-getting-data-science-to-work-for-your-business-c9ab6605733f 2 comments
- GitHub - ahkarami/Deep-Learning-in-Production: In this repository, I will share some useful notes and references about deploying deep learning-based models in production. https://github.com/ahkarami/Deep-Learning-in-Production 2 comments
- Accelerate MATLAB with Python and Numba · TechThought https://al.danial.org/posts/accelerate_matlab_with_python_and_numba/ 2 comments
- Xorbits - Scalable Python data science https://xorbits.io/blogs/annoucing-xorbits 2 comments
- TensorStore for High-Performance, Scalable Array Storage – Google AI Blog https://ai.googleblog.com/2022/09/tensorstore-for-high-performance.html 1 comment
- Distributed ML with Dask and Kubernetes on GCP | by Nicolas Grislain | Sarus Blog | Medium https://medium.com/sarus/distributed-ml-with-dask-and-kubernetes-on-gcp-97fdd6533736 1 comment
- Dagster 0.11.0: Lucky Star | Dagster Blog https://dagster.io/blog/dagster-0-11-0-lucky-star 1 comment
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