In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...
This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...
4 keys to writing modern Python Here’s what you need to know (and do) if you want to write Python like it’s 2025, not 2005. How to use uv, the super-fast Python package installer Last but not least, ...
Overview The "wheel" format in Python lets you bundle up and redistribute a Python package you've created. Others can then use the "pip" tool to install your program from your wheel file, which can ...
This repository contains everything you need to follow the "Thinking In Arrays" tutorial, presented at the SciPy 2024 conference on Monday, July 8, 2024 at 13:30am‒17:30pm PDT in Room 315. This ...
This is a proposition to remove the dependency on Pandas and NumPy. I think they are quite overkill for the usage of PyPlanet. The issues I have with these dependencies are : Long installation time, ...
Python+Machine Learning tutorial – Data munging for predictive modeling with pandas and scikit-learn
Building predictive models first requires shaping the data into the right format to meet the mathematical assumptions of machine learning algorithms. In this session we will introduce the pandas data ...
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