Linking pages
- Python For Finance: Algorithmic Trading | by Karlijn Willems | DataCamp | Medium https://medium.com/@kacawi/python-for-finance-algorithmic-trading-60fdfb9bb20d 160 comments
- My top 5 ‘new’ Python modules of 2015 « Robin's Blog http://blog.rtwilson.com/my-top-5-new-python-modules-of-2015/ 135 comments
- Emacs in the container age. or how to carry a gnu inside a whale | by Andres M | Medium https://medium.com/@sserialdev/emacs-in-the-container-age-5c0c222cfee 13 comments
- GitHub - subho406/OmniNet: Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain https://github.com/subho406/OmniNet 10 comments
- GitHub - conda-forge/git-annex-feedstock: A conda-smithy repository for git-annex. https://github.com/conda-forge/git-annex-feedstock 8 comments
- GitHub - jacksonbenete/workspace: Chrome OS workspace for software development and scientific research. https://github.com/jacksonbenete/workspace 8 comments
- GitHub - conda/conda: A system-level, binary package and environment manager running on all major operating systems and platforms. https://github.com/conda/conda 8 comments
- Python with ggplot. Jupyter Notebooks combining Python and… | by Cristian Cardellino | Medium https://medium.com/@crscardellino/python-with-ggplot-9ed888af93ca 4 comments
- GitHub - luispedro/jug: Parallel programming with Python https://github.com/luispedro/jug 3 comments
- Open Software Packaging for Science | by QuantStack | Medium https://medium.com/@QuantStack/open-software-packaging-for-science-61cecee7fc23 3 comments
- BIDS receives Sloan Foundation Grant to contribute to NumPy development | Berkeley Institute for Data Science https://bids.berkeley.edu/news/bids-receives-sloan-foundation-grant-contribute-numpy-development 1 comment
- Conda: Myths and Misconceptions | Pythonic Perambulations https://jakevdp.github.io/blog/2016/08/25/conda-myths-and-misconceptions/ 1 comment
- Guix-HPC â GNU Guix 1.0: a solid foundation for HPC and reproducible science https://guix-hpc.bordeaux.inria.fr/blog/2019/05/gnu-guix-1.0-foundation-for-hpc-reproducible-science/ 0 comments
- Data Science in Production: Packaging, Versioning and Continuous Integration - Florian Wilhelm's blog http://www.florianwilhelm.info/2018/01/ds_in_prod_packaging_ci/ 0 comments
- How to Effortlessly Create, Publish, and Even Share Cloud Hosted-Jupyter Notebooks with Saturn Cloud | by Anne Bonner | Towards Data Science https://towardsdatascience.com/getting-started-with-saturn-cloud-jupyter-notebooks-b3f509a500ef 0 comments
- Working with Wayland and Sway - Grimoire https://grimoire.science/working-with-wayland-and-sway/ 0 comments
- GitHub - conda-forge/pyside2-feedstock: A conda-smithy repository for pyside2. https://github.com/conda-forge/pyside2-feedstock 0 comments
- Launch a GPU-backed Google Compute Engine instance and setup Tensorflow, Keras and Jupyter | by Steve Domin | HackerNoon.com | Medium https://medium.com/@stevedomin/launch-a-gpu-backed-google-compute-engine-instance-and-setup-tensorflow-keras-and-jupyter-902369ed5272 0 comments
- [Part 1] How to setup your own environment for deep learning — Locally | by Tuatini GODARD | Medium https://medium.com/@ekami/part-1-how-to-setup-your-own-environment-for-deep-learning-locally-ffa502494f3 0 comments
- GitHub - conda/conda: A system-level, binary package and environment manager running on all major operating systems and platforms. https://github.com/ContinuumIO/conda 0 comments