For those who want to organize data types, analysis objectives, and similar Python operations through 100 multiple-choice questions

For those who want to organize data types, analysis objectives, and similar Python operations through 100 multiple-choice questionsEven if you understand data types and analysis objectives, it can be ...
GitHub

Hands on Exploratory Data analysis with Python

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

Julia vs. Python: Which is best for data science?

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become perhaps ...
Analytics Insight

10 Powerful Big Data Tools for Modern Data Scientists

Big data tools help data scientists store, process, and analyze massive datasets with greater speed and efficiency.Apache Spark, Kafka, and Flin ...
GitHub

Tutorials for pointcloud processing in Python

Tutorials for pointcloud processing in Python (transformations, spatial indexing, subsampling, cleaning, normals & curvatures, descriptors, segmentation, primitive fitting, registration, ...
Fast Company

The 9 Best Languages For Crunching Data

This story contains interviews with Michael Driscoll, CEO of Metamarkets; Paul Butler, data scientist at Chango and formerly at Facebook; and Niall O’Connor, vice president at Bank of America. The big ...
InfoWorld

8 great Python libraries for natural language processing

Natural language processing, or NLP for short, is best described as “AI for speech and text.” The magic behind voice commands, speech and text translation, sentiment analysis, text summarization, and ...