Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions - Michael Milton Knaflic Learn how to determine which data sources to use for collecting information, ...

Exploratory Data Analysis with Python Cookbook This is the code repository for Exploratory Data Analysis with Python Cookbook, published by Packt. Over 50 recipes to analyze, visualize, and extract ...

Data Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects. Packed with relevant examples and essential techniques, this practical book teaches you to ...

This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and ...

Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results.

Python, with its flexibility, ease of learning, and a large developer community, has transformed the field of data analysis. In this article, we will learn about data analysis using Python.

Pandas makes it easy to quickly load, manipulate, align, merge, and even visualize data tables directly in Python.

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

One of the top Python libraries for sentiment analysis is Pattern, which is a multipurpose library that can handle NLP, data mining, network analysis, machine learning, and visualization.

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...