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An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on... Læs mere
R for Data Analysis in easy steps, 2nd edition is written using a proven easy-to-follow style for maximum appeal. It will be useful to anyone who wants to begin programming in R, with minimum fuss. Updated for the latest version of R.
With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including NumPy, pandas, and scikit-learn.
If you're a PHP developer looking for proven solutions to common problems, this cookbook provides code recipes to help you resolve a variety of coding issues.
Beginners
Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience.
“Pure” functional programming, abandoning all the conventional programming techniques, really is difficult.Whether you're looking for a crash course in Functional... Læs mere