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The mystery of indexing – A guide to different types of indexes in Python

Data Science Dojo

Using the “Top Spotify songs from 2010-2019” dataset on Kaggle ( [link] ), we read it into a Python – Pandas Data Frame. This is a default index created by python for this dataset, while considering the first column present in the csv file as an “unnamed” column.

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Why Python's Integer Division Floors (2010)

Hacker News

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Reversing a List in Python: The Ultimate Guide

Pickl AI

Summary: Reversing a list in Python is easy using slicing, reversed(), loops, or list comprehension. Master Python and essential data science skills with Pickl.AIs free course to enhance your career in data science. Introduction Python is one of the most popular programming languages today. What is Slicing in Python?

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Causal Inference Python Implementation

Towards AI

Photo by SHVETS production from Pexels As per the routine I follow every time, here I am with the Python implementation of Causal Impact. This historical sales data covers sales information from 2010–02–05 to 2012–11–01. Author(s): Akanksha Anand (Ak) Originally published on Towards AI.

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Using Generative AI to Build Generative AI

O'Reilly Media

In this post I want to talk about using generative AI to extend one of my academic software projectsthe Python Tutor tool for learning programmingwith an AI chat tutor. Python Tutor is mainly used by students to understand and debug their homework assignment code step-by-step by seeing its call stack and data structures.

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Improving air quality with generative AI

AWS Machine Learning Blog

The solution harnesses the capabilities of generative AI, specifically Large Language Models (LLMs), to address the challenges posed by diverse sensor data and automatically generate Python functions based on various data formats. It generates a Python function to convert data frames to a common data format.

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Visualize This: Publication Day, Fourteen Years Later

FlowingData

Changing Visualization I wrote the first edition of Visualize This in 2010. covers point-and-click tools, such as Datawrapper, RAWGraphs, and the more general Adobe Illustrator, and also gets you started with R, Python, and HTML/CSS/JavaScript. The end goal is still to get you making charts right away. Not very nice.

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