Getting Started with Data: The first book you should read to successfully get along with data
- Length: 211 pages
- Publication Date: 2020-11-21
Python for Data Science: A Guide to Learn in Depth How to Use This Programming Language to Reorder Data While Remaining Focused on Your Specific Purposes
by Dylan Penny
- Length: 95 pages
- Publication Date: 2021-01-01
Python for Data Analysis: A Practical Guide for Manipulating, Processing, Cleaning, and Crunching Data Sets in Python. How to Effectively Solve a Wide Range of Data Analysis Problems
by Dylan Penny
- Length: 107 pages
- Publication Date: 2021-01-01
High Performance in-memory computing with Apache Ignite
- Length: 358 pages
- Publication Date: 2017-04-08
Adobe Acrobat DC Classroom in a Book, 3rd Edition
- Length: 336 pages
- Publication Date: 2019-04-04
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
- Length: 416 pages
- Publication Date: 2019-12-12
Programming Skills for Data Science
- Length: 384 pages
- Publication Date: 2018-12-08
Fundamentals of Quantum Programming in IBM’s Quantum Computers
- Length: 354 pages
- Publication Date: 2020-12-22
Hyperledger Cookbook
- Length: 310 pages
- Publication Date: 2019-04-30
Software Engineering in IoT, Big Data, Cloud and Mobile Computing
- Length: 233 pages
- Publication Date: 2021-02-07