Matt Harrison
@__mharrison__
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Python 🐍 + Data Science 🚀 trainer @__metasnake__ 🦜 Speaker ✍ Author 👨🏫 Instructor ( @Stanford ) 📣 DM for Sponsorship
SLC, Ut
Joined January 2010
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Pinned Tweet
The book is out!
After almost a year of work, Effective Pandas 2 is here.
Covers:
- New features of Pandas 2.2!
- PyArrow types!
- .case_when method!
- Chapter on testing Pandas
- Chapter on refactoring Pandas
- Leveraging Cython & Numba
If you are serious about taking
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Hi 👋 if you are interested in:
🐍 Python
🪄 Data Science
🔨 Career Advice
Follow me. ✔
I'm planning on using Twitter to share a lot of content that you won't want to miss. 🎉
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Hi 👋 if you are interested in:
🐍 Python
🪄 Data Science
🔨 Career Advice
Follow me. ✔
I'm planning on using Twitter to share a lot of content that you won't want to miss. 🎉
133
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4K
Hi 👋 if you are interested in:
🐍 Python
🪄 Data Science
🔨 Career Advice
Follow me. ✔
I'm planning on using Twitter to share a lot of content that you won't want to miss. 🎉
107
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3K
Hello, I'm Matt 👋
I'm a Python and Data Science author and trainer. 🐍
Follow me to learn more about:
🖥 Python
🙈 Data analysis
🎨 Visualization
🤯 Machine Learning
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Hello, I'm Matt 👋
I'm a Python and Data Science author and trainer. 🐍
Follow me to learn more about:
🖥 Python
🙈 Data analysis
🎨 Visualization
🤯 Machine Learning
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Once you master groupbys, it will open a new world to you. 🤯🐼
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Basic plots are easy.
Making them look nice often takes a bit of work...
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I passed 100K followers! 🤯🎉
I will randomly give away three copies of Effective Pandas to retweeters who reply with how they use Pandas. 🙏🐼
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A thread about pandas... (The library not the animal)
🐼🧵
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Hi 👋 if you are interested in:
🐍 Python
🪄 Data Science
🔨 Career Advice
Follow me. ✔
I'm planning on using Twitter to share a lot of content that you won't want to miss. 🎉
53
99
1K
Hello, I'm Matt 👋
I'm a Python and Data Science author and trainer. 🐍
Follow me to learn more about:
🖥 Python
🙈 Data analysis
🎨 Visualization
🤯 Machine Learning
28
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1K
Here's a Pandas trick to add order to categorical values. 🤯🐼
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Hi, I'm Matt 👋
I'm a Python & Data Science corporate trainer.
I tweet about:
🐍 Python
🐍 Python warts
🐍 Python features
📊 Visualization
🐼 Pandas
🐼 Pandas warts
🐼 Writing better Pandas code
🚀 Machine Learning
📚 Books
🐃 Emacs (🦆🦆🦆)
Thanks for following me! 🙏
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I often teach about Decorators in Python.
Many know how to use them, but few can write them.
These are tricky because nested functions make our brains hurt.
Here are some hints for grokking them.
1/
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189
1K
Big O notation (pronounced Big-Oh) is a way to discuss how long an algorithm takes to run. It is also called "runtime complexity".
Understanding this is key for technologists.
Let's look at it.
1/
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Recently, I've been working on a new course for data analytics. This Python code stands out for its ability to turn raw sales data into insightful visualizations. I want to share why this code is crucial and how it could help transform your data analysis process.
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PyCon is next week. For the first time in a while I'm not teaching or presenting... but I do have some books to give away.
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A slight tweak to use NumPy results in a massive speedup. 16,000X faster! 😱
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Soon after learning Python you should learn how to test Python.
Very soon after learning how to test Python code you should learn the pytest library!
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Want to speed up your Pandas code by 10-1000x?
With no code change?
The folks from
@nvidia
have created cuDF pandas accelerator mode. By using this line in Jupyter, you automatically leverage your GPU to run Pandas code:
%load_ext cudf.pandas
From command-line:
python -m
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Tell me you are a Python programmer without telling me you are a Python programmer... 🤔🐍
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One of my students (their code at top) was struggling with converting an HH:MM column to duration in minutes. Here's how I would do it... 🐼🤯
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Pandas tip 🐼🤓
Sometimes you want to get all of the values for each category, but there might be a different amount for each category.
This example shows each recorded daily snowfall for every month.
Combine .pivot with .apply! 🤯🐼
9
103
768
Hi 👋, if you are intrigued with:
🐍 Python
🪄 Data Science
🔨 Career Advice
Follow me. ✔
I'm planning on using Twitter to share a lot of content, that you won't want to miss. 🎉
25
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Challenge accepted... 😉
sure your data tool has export to csv, but does it have this??
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I just passed 130K followers on Twitter 1.0. 🤯🙏
AMA ❓
I will give away three copies of Effective Pandas to those who retweet. 😉
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PCA is such a hand tool to have in your toolbelt. 📈🤯
Here's some code to filter down the number of components and visualize them.
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You think my Pandas code is bad, here is some SQL that I wrote 15 years ago...
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I created a simple example data science project. It includes a makefile that you can copy and use to easily make your own.
It includes jupyter, tests, docker, dash, pipelines, CI, and codespaces.
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PCA and clustering. Two awesome tools that go well together. 🤯
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I my Machine Learning courses I often discuss PCA. I love having this tool in my toolbelt for EDA and learning from the data. 🤯
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How would I normally visualize this data?
With a bar plot. 🐼👍
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One of my students (their code at top) was struggling with converting an HH:MM column to duration in minutes. Here's how I would do it... 🐼🤯
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Soon after learning Python you should learn how to test Python.
Very soon after learning how to test Python code you should learn the pytest library!
17
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Last week I taught a course that covered Decorators in Python.
Many know how to use them, but few can write them.
These are tricky because nested functions make our brains hurt.
Here are some hints for grokking them.
1/
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121
615
Looking for practical data science books?
🎓Ace the Interview by
@NickSinghTech
🚀ML by
@rasbt
🥇Kaggle by
@tng_konrad
@lucamassaron
🐼Pandas by
@__mharrison__
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This is a wonderful overview of plotting with various Python libraries! 📈🐍
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Working on a new Pandas course. Meant to train beginners correct first principles from the start.
This will be a live cohort based class where you get to work on your real-world data while learning Pandas! 🤯🐼
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Here are my recommendations for modern data analysis:
👉 Python 🐍
👉 Jupyter 🪐
👉 Pandas 🐼
👉 Matplotlib 📊
👉 Sklearn 🚀
You can't go wrong with them.
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What is your favorite Python 3 feature? 🤔
Mine is probably f-strings.
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Tell me you are a Python programmer without telling me you are a Python programmer... 🤔🐍
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What is your favorite Python 3 feature? 🤔
Mine is probably f-strings.
73
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Hi 👋 if you are interested in:
🐍 Python
🪄 Data Science
🔨 Career Advice
Follow me. ✔
I'm planning on using Twitter to share a lot of content that you won't want to miss. 🎉
21
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538
Use Pandas to combine a bunch of CSV files, drop dupes, the export to the clipboard! 🐼🤯
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After my Python "training", my students still don't know how to use the %s formatting specifier in a print statement. 🤦
That's because I teach them f-strings. 😜
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Tell me you are a Python programmer without telling me you are a Python programmer... 🤔🐍
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Are you looking for the best free courses in Python, ML, or Visualization? ✅🐍😊
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If you are considering learning Pandas, I'm doing a cohort-based course at the end of this month. This is a great way to learn Pandas in a group-based setting.
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Looking for practical data science books?
🎓Ace the Interview by
@NickSinghTech
🚀ML by
@rasbt
\n🥇Kaggle by
@tng_konrad
@lucamassaron
🐼Pandas by
@__mharrison__
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Ever wanted to make a dumbbell plot with Pandas? 🐼🏋️♀️
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Creating my monthly sales report is 4 lines of code...
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Sad that people take content and don't give credit... 😢
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What language do you use when you don't use Python?🐍🤔
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Customizing a Plotly plot is no easier (nor harder) than customizing a Matplotlib plot.
Choose the former if you need more interactivity or the latter if you want more to create publication quality plots.
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Big O notation (pronounced Big-Oh) is a way to discuss how long an algorithm takes to run. It is also called "runtime complexity".
Understanding this is key for technologists.
Let's look at it.
1/
6
80
478
Sometimes you need a loop to perform a calculation. With a little nudging from numba, you can get a 30x speed improvement. 🤯
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Use .set_sticky with .style to keep the index in view on wide dataframes.
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Love seeing happy readers.
"Harrison’s book presents the most comprehensive collection of “best practices” for cleaning and preparing data using Pandas. WARNING: might turn you into a Pandas snob…" Walter U.
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Great week teaching Pandas (and Matplotlib and Seaborn). The new book should be coming out next week!
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How do you log in Python? What libraries do you use for it? 🤔
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Just passed 77k followers. 🎉🙏
I'm a Python & Data Science corporate trainer.
I tweet about:
🐍 Python
🐍 Python warts
🐍 Python features
📊 Visualization
🐼 Pandas
🐼 Pandas warts
🐼 Writing better Pandas code
🚀 Machine Learning
📚 Books
🐃 Emacs (🦆🦆🦆)
7
46
427
Creating my monthly sales report is 4 lines of code...
10
37
420
Hi 👋, if you are intrigued with:
🐍 Python
🪄 Data Science
🔨 Career Advice
Follow me. ✔
I'm planning on using Twitter to share a lot of content, that you won't want to miss. 🎉
12
50
404
Pandas tip 🐼🤓
Sometimes you want to get all of the values for each category, but there might be a different amount for each category.
This example shows each recorded daily snowfall for every month.
Combine .pivot with .apply! 🤯🐼
7
62
406
What is the most common issue you have when coding with Python? 🤔🐍
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I love seeing this plotting improvement from my student.
With a bit of tweaking from Matplotlib, you tell a different story.
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Did you teach yourself to code? What would you change if you were to do it again?
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Code is usually written once or twice but read often. You should optimize for readability when you write code. (This includes data scientists writing Pandas or ML code). 🤯
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