Overview on Jes Ford Getting Started Testing In Data Science Pycon 2019
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Getting started with Deep Learning: Using Keras & Numpy to detect voice disorders - PyCon 2019
Grishma Jena - Introduction to Data Science with Python - PyCon 2019
Jess Shapiro - Everything at Once: Python's Many Concurrency Models - PyCon 2019
Webinar | Writing your First Testing Suite with pytest for your Machine Learning model (7/20/2019)
Eric J Ma Best Testing Practices for Data Science PyCon 2017
IPython and Jupyter in Depth: High productivity, interactive Python - PyCon 2019
Jeff Elkner and Chalmer Lowe - Python Certification - PyCon 2019
PyConFR 2019 - Pytest: Yes Let's Go - Santiago E Fraire Willemoes
Pycon APAC 2019 - Aniruddha Adhikary - Introduction to Testing in Python
Neil Chazin - Strategies for testing Async code - PyCon 2019
Joe Gordon - Syntax Trees and Python - Automated Code Transformations - PyCon 2019
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Last Updated: October 27, 2026
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"Speakers: Dorota Jarecka, Anna Jaruga Many researchers rely strongly on numerical computations. Unfortunately, "Speaker: Zac Hatfield-Dodds If we knew all of the bugs we needed to write "Speakers: Deborah Hanus, Sebastian Hanus Deep learning is a useful tool for problems in computer vision, natural language ... "Speaker: Grishma Jena Wish to perform Slides: bit.ly/2JGHOJR Github: github.com/ikukuyeva/pytest-talk Description: We've all heard that we should be "Speaker: Eric J. Ma So you're a "Speakers: Matthias Bussonnier, Denis Akhiyarov IPython and Jupyter provide tools for interactive computing that are widely used ... Good morning everyone I'm gonna My intention with this talk is to help people understand how This workshop aims to explore the rich "Speaker: Joe Gordon Manually updating a million line code base is tedious. Thankfully syntax trees provide a safe and quick way ...
Jes Ford Getting Started Testing In Data Science Pycon 2019.pdf
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