Bowler - Safe code refactoring for modern Python. https://t.co/ZqZpJmOFgq
— Python Trending (@pythontrending) August 30, 2018
Bowler - Safe code refactoring for modern Python. https://t.co/ZqZpJmOFgq
— Python Trending (@pythontrending) August 30, 2018
With BERT (https://t.co/ln1oYJRJw0), you can run R functions from Excel's formula bar. This and other great R/Excel tips from the guide by @alycolumbus https://t.co/4l6UqIgmjV #rstats pic.twitter.com/VurjJLEzr7
— David Smith (@revodavid) August 30, 2018
Execute Jupyter notebooks for different parameters with papermill:https://t.co/xZkQwT4Nzv
— Daily Python Tip (@python_tip) August 29, 2018
Learn about scheduling and executing notebooks at Netflix:https://t.co/WJfmomoZ4Zhttps://t.co/J1GPZVAaKO pic.twitter.com/q31aA71qaP
nbdime – diffing and merging of Jupyter Notebooks
— ML Review (@ml_review) August 28, 2018
By @Vidar_TF @minrkhttps://t.co/o8FdK6XdDX pic.twitter.com/iuhCJVA5MR
Dopamine - a research framework for fast prototyping of reinforcement learning algorithms from Google: https://t.co/ZD9tOgnEDn
— Denny Britz (@dennybritz) August 28, 2018
This looks great - I just really hope it won’t be abandoned like the many other RL and TF frameworks out there.
In a new blog post, Google Brain team researchers @pcastr & @marcgbellemare share a new @TensorFlow-based reinforcement learning framework that aims to provide flexibility, stability, and reproducibility for new and experienced RL researchers alike. https://t.co/POE2X7TcgF
— Google AI (@GoogleAI) August 27, 2018
Check out our intelligent @Slack bot named Mr. Jingles! Our office mascot, once a humble cat, can now fetch stories, create visualizations, and even explain spikes in news coverage :smiley_cat: #mediamonitoring #chatbots https://t.co/HcZRIX13G7 pic.twitter.com/lsZ98oRU23
— AYLIEN (@_aylien) August 27, 2018
A search engine for color palettes https://t.co/noqLn4AwXU pic.twitter.com/oAOritp2Xm
— Nathan Yau (@flowingdata) August 27, 2018
NLP.js – node.js NLP library for building chat bots, with entity extraction, sentiment analysis, automatic language identify, and so more.https://t.co/o1uxvKkujW #MachineLearning pic.twitter.com/ekzznbvzLl
— ML Review (@ml_review) August 25, 2018
RainCloudPlots: A wrapper function combining a jitter plot, a box plot, and a density plot into one single function sounds like useful thing to have. The R, Matlab, and Python functions are available https://t.co/HKmMOP9XWK https://t.co/DMqZhMYbTg
— Sebastian Raschka (@rasbt) August 24, 2018
This looks big: pyodide, the scientific #Python stack compiled to WebAssembly. Run Python *locally* in your browser, interact directly with #JavaScript. #programming
— Randy Olson (@randal_olson) August 24, 2018
Repo: https://t.co/4BZDKByLEf
Demo: https://t.co/dNmvLscvqI pic.twitter.com/0rz2YqQ8rf
.@netflixdata is creating parameterized, scheduled notebooks (!!) to communicate and build tools for varying end-users using #papermill and Jupyter.
— Caitlin Hudon👩🏼💻 (@beeonaposy) August 23, 2018
Blog: https://t.co/bCbZ2znyvK
Papermill: https://t.co/IF4NL2DtKz@codeseal at #jupytercon pic.twitter.com/GUpr25I0Tc