This article explains how to efficiently read only specific sheets from an Excel file using the pandas library, which is ...

Hands-on Exploratory Data Analysis with Python, published by Packt - PacktPublishing/Hands-on-Exploratory-Data-Analysis-with-Python ...

In a previous article about data analysis with Python, I wrote about a failure where I couldn't load data properly because of ...

This book looks at you how to analyze data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, ...

What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...

I’m Adam Conway, an Irish technology fanatic with a BSc in Computer Science and I'm XDA’s Lead Technical Editor. My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional ...

Standard deviation is an essential statistical concept that helps data analysts understand how widely values are spread around an average. This beginner-friendly Python tutorial explains standard ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

A surprisingly powerful partnership ...

Good instincts for numbers only get a business analyst so far. The right tools are what turn a pile of raw data into reports people can use. Sales figures, cust ...