Python Pandas Tutorial (Part 8): Grouping and Aggregating - Analyzing and Exploring Your Data

487,889 views

Why it's on BrighterTube

From a channel a BrighterTube curator approved in full · 80% confidence

From a channel Lumen includes in full: Corey Schafer's Python tutorials are a self-study staple: complete, carefully paced series on the language, Flask, Django, FastAPI, pandas and Matplotlib, each built step by step with every line explained and no padding.

What you'll learn

A 49-minute video from Corey Schafer's catalogue; the title names its topic.

Programming & CS

Video by Corey Schafer, played through YouTube's embedded player.

Part of Pandas Tutorials, Python Tutorials

30:33

Git Tutorial for Beginners: Command-Line Fundamentals Corey SchaferProgramming & CS

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Regular Expressions (Regex) Tutorial: How to Match Any Pattern of Text Corey SchaferProgramming & CS

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But what is a neural network? | Deep learning chapter 1 3Blue1BrownScience & Math

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Let's build GPT: from scratch, in code, spelled out.Andrej KarpathyProgramming & CS

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Transformers, the tech behind LLMs | Deep Learning Chapter 5 3Blue1BrownProgramming & CS

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The spelled-out intro to neural networks and backpropagation: building micrograd Andrej KarpathyProgramming & CS

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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2:27:41

CS50x 2024 - Lecture 1 - C CS50Programming & CS

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“Hello, world” from scratch on a 6502 — Part 1 Ben EaterProgramming & CS

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Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich ConfreaksProgramming & CS

65.7K views

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CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS

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RailsConf 2014 - All the Little Things by Sandi Metz ConfreaksProgramming & CS

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30:33

Git Tutorial for Beginners: Command-Line Fundamentals

Corey Schafer

Intro2.32M views

Git command-line fundamentals: init, add, commit, branches, merges, remotes and pushing.

37:55

Regular Expressions (Regex) Tutorial: How to Match Any Pattern of Text

Corey Schafer

1.36M views

Regular expressions from scratch: character classes, quantifiers, groups and anchors.

But what is a neural network? | Deep learning chapter 1

3Blue1Brown

Intro25.1M views

Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

Let's build GPT: from scratch, in code, spelled out.

Andrej Karpathy

8.21M views

Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

Intro11.6M views

How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy

Intro4.41M views

Building micrograd, a tiny autograd engine, to understand backpropagation completely.

24:26

The Beauty of Bézier Curves

Freya Holmér

2.23M views

Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

2:27:41

CS50x 2024 - Lecture 1 - C

CS50

Intro1.41M views

CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

“Hello, world” from scratch on a 6502 — Part 1

Ben Eater

5.85M views

Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich

Confreaks

65.7K views

Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.

2:04:55

CS50x 2024 - Lecture 0 - Scratch

CS50

Intro2.2M views

CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

RailsConf 2014 - All the Little Things by Sandi Metz

Confreaks

190K views

Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.