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Python


PyCon 2019 | Measures and Mismeasures of Algorithmic Fairness Speaker: Manojit Nandi   Within the last few years, researchers have come to understand that machine learning systems may display discriminatory behavior with regards to certain protected characteristics, such as gender or race. To combat these harmful behaviors, we have created multiple definitions of fairness to …

PyCon 2019 | Statistical Profiling (and other fun with the sys module) Speaker: Emin Martinian   Profiling involves computing a set of data about how often and how long various parts of your program are executed. Profiling is useful to understand what makes your program slow and how you can improve it. After a quick …

PyCon 2019 | Fighting Climate Change with Python Speaker: Matthew Gordon   Methane, the primary component of natural gas, is a 60 times more powerful climate change agent than carbon dioxide. Current technologies for finding methane leaks in oil and gas infrastructure rely on driving well to well with a handheld camera. At Kairos Aerospace, …

PyCon 2019 | How to Think about Data Visualization Speaker: Jake VanderPlas   The Python world has a staggering array of data visualization tools, and choosing which to use can seem like a daunting task. But which tool you use is far less important than how you use it. In this talk I’ll walk through …

PyCon 2019 | Getting Started With Deep Learning: Using Keras & Numpy To Detect Voice Disorders Speaker: Deborah Hanus, Sebastian Hanus   Deep learning is a useful tool for problems in computer vision, natural language processing, and medicine. While it might seem difficult to get started in deep learning, Python libraries, such as Keras make …

PyCon 2019 | Put Down The Deep Learning: When Not To Use Neural Networks And What To Do Instead Speaker: Rachael Tatman   The deep learning hype is real, and the Python ecosystem makes it easier than ever to neural networks to everything from speech recognition to generating memes. But when picking a model architecture …

PyCon 2019 | Everything at Once: Python’s Many Concurrency Models Speaker: Jess Shapiro   Python makes it incredibly easy to build programs that do what you want. But what happens when you want to do what you want, but with more input? One of the easiest things to do is to make a program concurrent …

PyCon 2019 | Machine learning model and dataset versioning practices Speaker: Dmitry Petrov   Python is a prevalent programming language in machine learning (ML) community. A lot of Python engineers and data scientists feel the lack of engineering practices like versioning large datasets and ML models, and the lack of reproducibility. This lack is particularly …

PyCon 2019 | Modern solvers: Problems well-defined are problems solved Speaker: Raymond Hettinger   Every programmer should learn to use solvers, tools that reason directly from a description of a problem to its solution. Tools like AlphaZero can formulate winning strategies for games given only a description of the rules of the game. For certain …

Overview This guide shows how to create a Django project using only a Command Line Interface. No IDE is used. Django is Python Web Framework. Though it can also be used to build an API   Prerequisites Operating System: Ubuntu 18 Command Line Interface or Terminal Python 3.6 (or above) is installed For Ubuntu users …