Did you know that if you open a PDF in Microsoft Word, it gets converted into a fully editable, properly formatted word processing document?
— Jeremy Howard (@jeremyphoward) February 7, 2020
It's amazingly good. pic.twitter.com/QLVABrnnu4
Did you know that if you open a PDF in Microsoft Word, it gets converted into a fully editable, properly formatted word processing document?
— Jeremy Howard (@jeremyphoward) February 7, 2020
It's amazingly good. pic.twitter.com/QLVABrnnu4
How did I not know of this until now?https://t.co/qXTEbPpFMx pic.twitter.com/vgwvszgFEo
— Jeremy Howard (@jeremyphoward) February 4, 2020
John Schulman is one of the researchers I admire most in the field. Awesome guide for how to do a PhD / break into research! I need to implement more papers from scratch... https://t.co/5gHlTm7DtL
— Eric Jang 🇺🇸🇹🇼 (@ericjang11) January 31, 2020
py-sanity: Opinionated Coding Guidelines and Best Practices in Python https://t.co/oeEjmhJlAh
— PyCoder’s Weekly (@pycoders) January 29, 2020
5. Spend 4 days to do it well. Open-sourcing a good code base takes some time but you should consider it as important as your paper
— Thomas Wolf (@Thom_Wolf) January 14, 2020
6. Consider merging with a larger repo: are you working on language models? 🤗Transformers is probably happy to help you ➡️ https://t.co/iNdvPcRFPa
2. Put yourself in the shoes of a master student who has to start from scratch with your code:
— Thomas Wolf (@Thom_Wolf) January 14, 2020
- give them a ride up to the end with pre-trained models
- focus examples/code on open-access datasets (not everybody can pay for CoNLL-2003)
Great talk! Explains how to vectorize slow pandas code. Here: replacing .apply when working w conditional statements.
— Sebastian Raschka (@rasbt) January 10, 2020
Was guilty of using .apply myself a lot recently because I thought of it as elegant. Turns out my old & actually preferred method, numpy.where, is a lot faster! https://t.co/bFzRAMljqi
If you're just starting out as a data analyst, check out the replies here for some tips on "thinking like an analyst" when you get a request. Just answering what you were initially asked often isn't enough or will lead to re-work. https://t.co/uYLz4Jj4tL
— Data Science Renee (@BecomingDataSci) January 9, 2020
Notes on Technical Writinghttps://t.co/ZMs9D2QBaM pic.twitter.com/Arozi14vuC
— hardmaru (@hardmaru) January 5, 2020
How to use Pandas `get_dummies` to Create Dummy Variables in Python https://t.co/MlOpWRwlLu
— PyCoder’s Weekly (@pycoders) January 3, 2020
a.all() vs. np.all(a) vs. all(a)
— Daily Python Tip (@python_tip) December 27, 2019
If `a` is np.array, then np.all/a.all is faster then a python bulit-in `all` function.
Explanation: https://t.co/3W7OS7NYOo pic.twitter.com/BBavDzK0Di
Another tool useful for Jupyter Notebooks: Recycle useful parts of your notebook with #importnb package. https://t.co/yHrhTBzLXQ pic.twitter.com/nNmgrzJ9zk
— Daily Python Tip (@python_tip) December 26, 2019