FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
|
|
- Title Julia Data Science
- Author(s) Jose Storopoli, Rik Huijzer, Lazaro Alonso
- Publisher: JuliaDataScience.io; eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Paperback: N/A
- eBook: HTML and PDF
- Language: English
- ISBN-10/ASIN: N/A
- ISBN-13: 979-8489859165
- Share This:
An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. This book will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work.
About the Authors- N/A
- Data Science and Data Engineering
- Julia Programming Language
- Eiffel Programming Language
- Go Programming Language
- PERL Programming Language
- Scala Programming Language
-
Python Data Science Handbook: Essential Tools (Jake VanderPlas)
Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
-
R for Data Science: Visualize, Model, Transform, Tidy, Import
This book teaches you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualize it and model it, how data science can help you work with the uncertainty and capture the opportunities.
-
Think Julia: How to Think Like a Computer Scientist
This hands-on guide uses Julia Programming Language to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch.
-
Julia Language: A Concise Tutorial (Antonello Lobianco)
This hands-on guide uses Julia Programming Language to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch..
-
First Semester in Numerical Analysis with Julia (Giray Okten)
This book presents the theory and methods, together with the implementation of the algorithms using the Julia programming language. The book covers computer arithmetic, root-finding, numerical quadrature and differentiation, and approximation theory.
-
The Julia Language (The Julia Project Contributors)
Inside this book, you'll find step-by-step instructions, real-world case studies, and practical exercises that guide you from the basics of Julia syntax to advanced topics like object-oriented and functional programming.
:
|
|