Messy Data? Try this video on "Cleaning and Tidying Data" using Pandas from our PyData DC Meetuphttps://t.co/MhSDsRAwPN
— PyData (@PyData) June 5, 2019
Messy Data? Try this video on "Cleaning and Tidying Data" using Pandas from our PyData DC Meetuphttps://t.co/MhSDsRAwPN
— PyData (@PyData) June 5, 2019
Panel: build interactive dashboards within #Jupyter notebook, deploy them on #bokeh server
— Daily Python Tip (@python_tip) June 4, 2019
…can’t wait to try it! 🤩https://t.co/VKkIZfyegBhttps://t.co/4hrMuIGwDB#python
There's a bunch of FUD around Python 3.7's dataclasses, and how they relate to the the attrs library. My colleague @fcurella does a wonderful job cutting through the noise, explaining how they relate, and laying out why you might choose one or the other: https://t.co/aLSs3NAxU4
— jacobian (@jacobian) June 4, 2019
kedro - A Python library for building robust production-ready data and analytics pipelines https://t.co/9DvjIluQ8t
— Python Trending (@pythontrending) June 4, 2019
Matplotlib tip: if your saved figure files are too large, pass `rasterized=True` to the plot element that's causing the issue: that element will be saved as a more compact raster (i.e. pixel) representation: pic.twitter.com/Pezq0VTtHg
— Jake VanderPlas (@jakevdp) June 4, 2019
In #pandas dropna() method, you can specify that if N of a row’s fields has a non-null value, you won’t drop that row:
— Daily Python Tip (@python_tip) June 3, 2019
>>> df.dropna(thresh=N) pic.twitter.com/sQ4iPDwBlu
Advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.https://t.co/4X29r9x2Fg pic.twitter.com/8WOfRF0kY9
— ML Review (@ml_review) June 2, 2019
PyMC 3.7 is out, and it features a new way to manage your data within models. #pymc3https://t.co/6M7mFLNOOr
— Chris Fonnesbeck (@fonnesbeck) May 31, 2019
Newline?
— matt harrison (@__mharrison__) May 31, 2019
Exploring Python Using GDB https://t.co/UH4bqSjbU7
— PyCoder’s Weekly (@pycoders) May 31, 2019
This is one of my favorite #Python errors.https://t.co/Ws2fIK1erw
— Joel Grus ♥️ 📓 (@joelgrus) May 31, 2019
(Even just a slightly more helpful error message would save so many people so much time / grief.)
Remember that Python 2 will reach end of life on 1/1/2020. For the impact on *your* project, see https://t.co/giiS9CNn8V
— Guido van Rossum (@gvanrossum) May 28, 2019