MSN on MSN

These 5 Python libraries turned me into a better data analyst than Excel ever could

The power of Python trumps Excel workbooks.
GitHub

Working with Data: Python and the Pandas Library

While databases offer very efficient ways to store data and query them using query languages, the most flexible way of data processing is writing your own program to manipulate data. In many cases, ...
JournalofAccountancy

AI tools for finance professionals to prepare and visualize data

This article is not about ethics, privacy, security, ownership, or corporate governance — I am going to circumvent all of this here by using some made-up data relating to supermarket sales: Here, I ...
InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...
SiliconANGLE

Snowflake and Databricks cross the Rubicon into a new competitive domain

The data industry has arrived at a pivotal juncture that echoes the themes we’ve charted in previous Breaking Analysis episodes, from The Sixth Data Platform through The Yellow Brick Road to Agentic ...
Analytics Insight

Python vs. R vs. SQL: 2025 Data Science Programming Language Trends

Python, R, or SQL: Which reigns supreme in 2025's data science landscape? Compare trends and use cases to choose best language for your data science projects. The data science industry is booming, ...
Analytics Insight

Data Visualization with Matplotlib and Seaborn

Data visualization is an effective tool for converting complex datasets into clear and understandable visual formats. Data visualization is crucial in data analysis so that analysts, researchers, and ...
LinkedIn

Data Analysis with Python: Fraud Detection using Benford’s Law – Part 1

I am a true believer that your curiosity to learn is what pushes your knowledge further in almost any career you are in. It was my curiosity that accelerated my professional and personal growth.
LinkedIn

Python Libraries for Data Analysis.

Explanation: NumPy is the fundamental package for scientific computing with Python. It provides support for large, multi-dimensional arrays and matrices, along with mathematical functions to operate ...
GitHub

ngramr - R package to query the Google Ngram Viewer

The Google Books Ngram Viewer allows you to enter a list of phrases and then displays a graph showing how often the phrases have occurred in a large corpus of books (e.g., "British English", "English ...
InfoWorld

Data visualization with Observable JavaScript

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot. Built-in reactivity is one of ...