python - Evan Marie Carr

🛠️ Custom Jupyter Helper Functions

I live inside Jupyter notebooks for the vast majority of my waking hours. And I love it there. But I have also put in some serious hours toward making my Jupyter home beautiful, happy, and efficient. In this article, I will share with you some of my very favorite custom

python

↔️ Navigation and Organization: Making Python Do the Work

I love just about anything that is logical, well-organized, and flows. And I get somewhat (or quite, depending on the level of the offense) frustrated with just about anything that is lazily arranged, illogically planned, or otherwise leaves me feeling like "you had ONE job!" While I know not everyone

technology

📚 💻 Homeschool, Education, Society, and Technology

This article is a little deviation from my norm, but the sentiments herein apply to the overall drive in all the work that I do. As humans and technology advance, so must our approach to education. We must learn flexibility for productive development and true growth as a species. Flexibility

data analysis

Names and What They Say

An investigation into names, trends, and what they reflectGitHub Gist | Interactive Jupyter | PDF Notebook It has been a while since I becameas enmeshed with a set of data as I did with this one. While a huge part of me repeatedly found places where I could easily call the project

SQL

😀 JSON to Pandas to SQL: "The Happy Family"

In the world of big data, it is inefficient to work with individual, large files that contain the entirety of the data we are working with. It can become slow and unmanageable. So it is often more efficient and economical to save the large amounts of data in a long-term,

API

🧹 APIs, JSON, and Data Cleaning

Real world data is NEVER as clean as the nicely prepared files data science nuts like to download for projects from Kaggle and the like. But the plus side to real world data is that there are no limits to the data available, as long as you know how to

pandas

🎬 The Power of Pandas! 🎥

(To view the complete notebooks related to this project, please visit my resources page, and navigate to the 12 Advanced Projects: Data Science with Pandas section.) There is A LOT to Pandas, and because the possibilities are so vast when working with this essential library, sometimes it is hard to

neural network

🧠 Neural Network Image Recognition

Jupyter - PDF I dance with neural networks. It might sound odd to you, or silly even. But I do. Training a deep learning neural network is a dance. And to anyone who has never danced that dance, all I can do is try to describe it. I will make

deep learning

🔥 PyTorch: It's Python on FIRE! 🔥

PyTorch is an open source machine learning library that works directly with Python that to make neural network modeling quick and painless. As soon as I met PyTorch, I knew immediately that it was going to join the collection of my absolute most favorite libraries, along with NumPy, Pandas, and

sales analysis

📊 Sales Analysis and Visualization in Python

You can also work with this notebook interactively here (just click "Run" and choose either on Binder or on Google Colab), or view as PDF here. This is a scrollable notebook version, complete with documentation and explanation:

australia

🇦🇺 Australian Rainfall Prediction

It is amazing how many hours one can spend with data and get...well...50 cells along in an ENTIRE day! But I did learn a lot about what one CAN and canNOT do to sweet talk decision trees and random forest models. I tried and tried to get data

computer science

🧮 Algorithmic Problem Solving

The problem: There are n points on a road you are driving your taxi on. The n points on the road are labeled from 1 to n in the direction you are going, and you want to drive from point 1 to point n to make money by picking up

project

🛸 Finding Patterns in UFO Sightings Data

(12 September 2022) The following notebook contains the entire project and all commentary and descriptions. Enjoy!