PyCon Archives - Liwaiwai

Programming

PyCon 2019 | Don’t be a robot, build the bot

PyCon 2019 | Don’t be a robot, build the bot Speaker: Mariatta Managing a large open source project like CPython is no easy task. Learn how the Python core team automated their GitHub workflow with bots, making it easier for maintainers and contributors to collaborate together. Even if you’re not managing a large project, you can still build your own bot! Hear some ideas on what you can automate on GitHub and personalize your bot based on your own workflow. All you need is Python. Don’t be a robot; build the bot. Slides can be found at: https://speakerdeck.com/pycon2019…

PyCon 2019 | Scikit-learn, wrapping your head around machine learning

PyCon 2019 | Scikit-learn, wrapping your head around machine learning Speaker: Chalmer Lowe A gentle introduction to machine learning through scikit-learn. This tutorial will enable attendees to understand the capabilities and limitations of machine learning through hands-on code examples and fun and interesting datasets. Learn when to turn to machine learning and which tools apply to your problem. Also learn about gotchas and problems that are likely to show up when attempting to use machine learning. Slides can be found at: https://speakerdeck.com/pycon2019 and https://github.com/PyCon/2019-slides

PyCon 2019 | Pandas Is For Everyone

PyCon 2019 | Pandas Is For Everyone Speaker: Daniel Chen Data Science and Machine learning have been synonymous with languages like Python. Libraries like Numpy and Pandas have become the de facto standard when working with data. The DataFrame object provided by Pandas gives us the ability to work with heterogeneous unstructured data that is commonly used in “”real world”” data. New learners are often drawn to Python and Pandas because of all the different and exciting types of models and insights the language can do and provide, but are awestruck when faced with the initial learning curve. This…

Machine Learning

PyCon 2019 | Measuring Model Fairness

PyCon 2019 | Measuring Model Fairness Speaker: J. Henry Hinnefeld When machine learning models make decisions that affect people’s lives, how can you be sure those decisions are fair? When you build a machine learning product, how can you be sure your product isn’t biased? What does it even mean for an algorithm to be ‘fair’? As machine learning becomes more prevalent in socially impactful domains like policing, lending, and education these questions take on a new urgency. In this talk I’ll introduce several common metrics which measure the fairness of model predictions. Next I’ll relate these metrics to…

PyCon 2019 | Beyond Two Groups: Generalized Bayesian A/B[/C/D/E…] Testing

PyCon 2019 | Beyond Two Groups: Generalized Bayesian A/B[/C/D/E…] Testing Speaker: Eric Ma Bayesian A/B testing has gained much popularity over the years. It seems, however, that the examples stop at two groups. This begs the questions: should we not be able to do more than simple two-group, case/control comparisons? Is there a special procedure that’s necessary, or is there a natural extension of commonly-used Bayesian methods? In this talk, I will use life-like, simulated examples, inspired from work and from meeting others at conferences, to show how to generalize A/B testing beyond the rigid assumptions commonly highlighted. Specifically,…

PyCon 2019 | Introduction to Data Science with Python

PyCon 2019 | Introduction to Data Science with Python Speaker: Grishma Jena Wish to perform Data Science but don’t know how to? Have a dataset that you really want to analyze but not sure how to start? This hands-on session teaches how to explore datasets, use Machine Learning algorithms and derive insights from models using popular Python tools like Jupyter, pandas, sklearn and numpy. Aimed at budding data scientists with prior programming experience in any language. Slides can be found at: https://speakerdeck.com/pycon2019 and https://github.com/PyCon/2019-slides

Programming

PyCon 2019 | Lambda Calculus From The Ground Up

PyCon 2019 | Lambda Calculus from the Ground Up Speaker: David Beazley These days, programming style guides are all the rage. However, what if your style guide was so restrictive that it only gave you single-argument functions and nothing else? No modules, no classes, no control flow, no data structures, and not even any primitives like integers or regular expressions. Just functions. Could you actually program anything at all? Surprisingly, the answer is yes. In this tutorial, you’ll learn how as you work through a ground-up derivation of the lambda calculus in Python. You will learn nothing practically useful…

Data

PyCon 2019 | Bayesian Data Science by Simulation

PyCon 2019 | Bayesian Data Science by Simulation Speaker: Eric Ma, Hugo Bowne-Anderson This tutorial is an Introduction to Bayesian data science through the lens of simulation or hacker statistics. We will become familiar with many common probability distributions through i) matching them to real-world stories & ii) simulating them. We will work with joint/conditional probabilities, Bayes Theorem, prior/posterior distributions and likelihoods, while seeing their applications in real-world data analyses. We’ll see the utility of Bayesian inference in parameter estimation and comparing groups and we’ll wrap up with a dive into the wonderful world of probabilistic programming. Slides…

PyCon 2019 | Hello World of Machine Learning Using Scikit Learn

PyCon 2019 | Hello World of Machine Learning Using Scikit Learn Speaker: Deepak K Gupta _**Welcome to the Machine Learning tutorial for absolute beginners.**_ This tutorial will not make you an expert in Machine Learning but will cover enough things to acquaint, enable and empower you to understand, explore and exploits the concept and idea behind it. ———- **We’ll be learning by generating our own data with bare minimal data points (5 – 10) so that we can manually verify our machine learning algorithms to understand it better.** _This will also help us to see how changes in data…

PyCon 2019 | Applied Deep Learning For NLP Using PyTorch

PyCon 2019 | Applied Deep Learning For NLP Using PyTorch Speaker: Elvis Saravia Natural language processing (NLP) has experienced a rapid growth over the last few years and has become an important skill to build applications that range from social features to clinical and health solutions. In this tutorial, we will introduce PyTorch as a tool to build and experiment with various modern NLP techniques by building deep learning architectures based on convolutional neural networks (CNNs), recurrent neural networks (RNNs), and bidirectional long short-term memory networks (biLSTMs). We will cover a wide range of topics with the purpose of…

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