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Under “Python”
Statistics for Hackers 00:40:44 by **Jake Vanderplas** (2016)
0:00 / 0:00
#statistics#bootstrapping#simulation
Jake Vanderplas - Statistics for Hackers - PyCon 2016.mp4
PyCon 2016
15K subscribers • 8 videos on Hallway
- Recommended by 4 people: 3 on Hacker News and 1 curated list.
- A classic. People kept recommending it from 2017 to 2025.
- Presented by Jake Vanderplas
- Linked in the descriptionPyCon/2016-slides
Beginner. No background in the topic needed.
92K views10 years ago4 recommendations
Computer scienceProgramming languagesMath for programmersPythonClassic machine learning
Jake Vanderplas demonstrates how to solve statistical problems using intuitive, sampling-based Python simulations instead of complex formulas.
Speaker: Jake Vanderplas Statistics has the reputation of being difficult to understand, but using some simple Python skills it can be made much more intuitive. This talk will cover several sampling-based approaches to solving statistical problems, and show you that if you can write a for-loop, you can do statistics. Slides can be found at: speakerdeck.com/pycon2016 and github.com/PyCon/2016-slidesWhy it's here
4 people recommend thisWhat people say. Highly recommended for programmers as the best introduction to practical statistics using code and simulation.
pixelmonkeyon Hacker News • Recommends
On “Python Data Science Handbook”
We're using this book for a "book club" at work. Doing 1 chapter every 2 weeks. Chapter 1 covers Jupyter, 2 covers numpy, 3 pandas, 4 matplotlib, and 5 machine learning. We just made it through the first 4 chapters and it lays a good foundation for those libraries. I suspect chapter 5 is the meatiest and most interesting chapter, which covers scikit-learn and machine learning techniques. It is a long chapter so we will spend a month on it. I recommend combining this book with McKinney's Pandas book1 and the author's excellent YouTube presentations at PyCon and PyData. Start with "Statistics for Hackers"2 by Jake VanderPlas and then look for his others. 1: link 2: link to this video
auxymon Hacker News • Recommends
On “Ask HN: Recommendations for applied engineering and math books for programmers?”
You might enjoy this talk "statistics for hackers" (in case statistics is not included in your data science knowledge): link to this video For structural beam analysis (ie, from mechanical and civil engineering) check out this textbook on the direct stiffness method: link Unfortunately, the accompanying code (MASTAN2) is not open source and runs in Matlab. Still, it's a decent first step if you want to move to full-on Finite Element methods, which require much heavier math (real analysis) to really grasp.
armanboyacion Hacker News • Recommends
On “Statistical Formulas for Programmers (2013)”
>Being able to apply statistics is like having a secret superpower. I totally with this sentence. BUT If you ask for my opinion, merely knowing a list of statistical formulas is not very helpful. Most of the time, people don’t remember the underlying assumptions, so there is a fair chance they will use them in inappropriate situations. I recommend watching these two YouTube videos. The presenters advocate using simulation/bootstrapping/shuffling methods instead of memorizing formulas. Jake Vanderplas - Statistics for Hackers link to this video John Rauser - Statistics Without the Agonizing Pain link
faitswulffon Hacker News • Mentions
On “Feynman on Fermat's Last Theorem (2016)”
Feynman's approach seems very reminiscent of Jake Vanderplas's Statistics for Hackers talk0 as opposed to the purely theoretical physicist approach that the author notes at the end. 0: link to this video