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Welcome to the tqdm wiki!

The wiki is still in its infancy. You may nevertheless find interesting additional information by browsing the pages on the right.

Feel free to clone and contribute to this wiki, and open issues or pull requests on the main repository!

Here, have some impressive background:

stats

• over 190 million downloads
  • (PyPI Downloads: versus )
• ~1M code inclusions
  • ~115k dependent repos
  • 
  • ~52 tagged topics
• so in the world's top 25
• 
  • star history
  • #1 trending on GitHub (Dec 2015)
  • #1 rated tag:progressbar on GitHub
• Estimated cost:
• 

blogs

• 
• mentioned in awesome-jupyter
• accidentally responsible for https://twitter.com/WikimediaItalia/status/914448810117545985
• inspired a poem/song: http://www.metafilter.com/161265/An-alternative-to-an-eternally-spinning-wheel#6644017
• http://blog.rtwilson.com/my-top-5-new-python-modules-of-2015/
• https://dominikschmidt.xyz/python-modules-tqdm-imageio-seaborn/
• https://pythontips.com/2018/06/03/top-14-most-famous-python-libraries-frameworks/
• https://github.com/IliaGavrilov/Machine_Learning_libraries_and_Python_3.6_tricks
• Inspired a Jupyter-specific mod that plays chopped audio samples (demos include Rick & Morty and Flight of the bumblebee MIDI): https://github.com/robclewley/TqdmAudioRicker

publications

• da Costa-Luis, Casper (2019). "tqdm: A Fast, Extensible Progress Meter for Python and CLI," Journal of Open Source Software. 4(37), 1277. doi:10.21105/joss.01277
• Miller, Preston; Bryce, Chapin (2017). Python Digital Forensics Cookbook: Effective Python recipes for digital investigations. Packt Publishing Ltd. ISBN 9781783987474.
• Van Boxel, Dan (2017). Hands-On Deep Learning with TensorFlow. Packt Publishing. ISBN 9781787125827.
• Nandy, Abhishek; Biswas, Manisha (2018). "Reinforcement Learning with Keras, TensorFlow, and ChainerRL". Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python. Apress. pp. 129–153. doi:10.1007/978-1-4842-3285-9_5. ISBN 9781484232859.
• Stein, Helge S.; Guevarra, Dan; Newhouse, Paul F.; Soedarmadji, Edwin; Gregoire, John M. (2019). "Machine learning of optical properties of materials – predicting spectra from images and images from spectra". Chemical Science. 10 (1): 47–55. doi:10.1039/C8SC03077D.
• Cook, Neil J.; Scholz, Aleks; Jayawardhana, Ray (28 November 2017). "Very Low-mass Stars and Brown Dwarfs in Upper Scorpius Using Gaia DR1: Mass Function, Disks, and Kinematics". The Astronomical Journal. 154 (6): 256. arXiv:1710.11625. Bibcode:2017AJ....154..256C. doi:10.3847/1538-3881/aa9751.
• Madhikar, Pranav; Åström, Jan; Westerholm, Jan; Karttunen, Mikko (November 2018). "CellSim3D: GPU accelerated software for simulations of cellular growth and division in three dimensions". Computer Physics Communications. 232: 206–213. Bibcode:2018CoPhC.232..206M. doi:10.1016/j.cpc.2018.05.024.
• Palmer, Geraint I.; Knight, Vincent A.; Harper, Paul R.; Hawa, Asyl L. (20 May 2018). "Ciw: An open-source discrete event simulation library". Journal of Simulation: 1–15. doi:10.1080/17477778.2018.1473909.
• Knight, Vincent et al. (31 August 2016). "An open reproducible framework for the study of the iterated prisoner's dilemma". Journal of Open Research Software. 4. doi:10.5334/jors.125. ISSN 2049-9647.

... and many, many more. See e.g. https://www.oreilly.com/search/?query=tqdm.

misc

• PyData 2019 Slides
• many ports
• audio accessibility and fun / musical version (sample or MIDI based) robclewley/TqdmAudioRicker
• Want to spread the news? #247 recognition