Essays, opinions, and advice on the act of computer programming from Stack Overflow.
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code-for-a-living March 3, 2022

Stop aggregating away the signal in your data

By aggregating our data in an effort to simplify it, we lose the signal and the context we need to make sense of what we’re seeing.
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Zan Armstrong, Data Visualization Developer at Observable
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podcast January 12, 2022

Podcast 406: Making Agile work for data science

Data scientists and engineers don’t always play well together. We discuss an approach to your tech stack that can bring them together.
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Ryan Donovan
community December 30, 2021

How often do people actually copy and paste from Stack Overflow? Now we know.

April Fool's may be over, but once we set up a system to react every time someone typed Command+C, we realized there was also an opportunity to learn about how people use our site. Here’s what we found.
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Ben Popper and David Gibson
code-for-a-living November 15, 2021

Building a QA process for your deep learning pipeline in practice

Deep learning models still need testing, but many of the common testing approaches don't apply. But with the right methods, you can still make sure your pipeline produces good results.
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Tobias Kupek
code-for-a-living September 13, 2021

Why your data needs a QA process

At this point, most software engineers see the value of testing their software regularly. But are you testing your data engineering as well?
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Corissa E Haury
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code-for-a-living March 9, 2021

Level Up: Mastering statistics with Python – part 5

Rather than dig into complex math or over-simplify by using a pre-written function, we'll write our own binomial test function, primarily using base Python. In the process, we'll learn more about how hypothesis testing works and build intuition for how to interpret a p-value.
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Ben Popper and Sophie Sommer
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code-for-a-living February 23, 2021

Level Up: Mastering statistics with Python – part 2

Investigate a dataset with summary statistics and some basic data visualizations using the Python libraries NumPy, pandas, matplotlib, and Seaborn.
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Ben Popper and Sophie Sommer
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code-for-a-living February 16, 2021

Level Up: Mastering statistics with Python

In today’s tech industry, statistics and data science are becoming increasingly important and valuable skills.
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Ben Popper Director of Content
code-for-a-living October 12, 2020

How to put machine learning models into production

The goal of building a machine learning model is to solve a problem, and a machine learning model can only do so when it is in production and actively in use by consumers. As such, model deployment is as important as model building.
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Rising Odegua
insights August 8, 2019

DEF CON and Stack Overflow: What Our Traffic Says About Cybersecurity Technologies

Stack Overflow traffic during DEF CON shows what technologies are trending in the hacker community
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Julia Silge Data Scientist (former)
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