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Learning Julia

You're reading from   Learning Julia Build high-performance applications for scientific computing

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785883279
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Rahul Lakhanpal Rahul Lakhanpal
Author Profile Icon Rahul Lakhanpal
Rahul Lakhanpal
Anshul Joshi Anshul Joshi
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Anshul Joshi
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Table of Contents (11) Chapters Close

Preface 1. Understanding Julia's Ecosystem FREE CHAPTER 2. Programming Concepts with Julia 3. Functions in Julia 4. Understanding Types and Dispatch 5. Working with Control Flow 6. Interoperability and Metaprogramming 7. Numerical and Scientific Computation with Julia 8. Data Visualization and Graphics 9. Connecting with Databases 10. Julia’s Internals

Standard library

Julia's standard library is rich. It is vast and offers lots of functions that can ease the daily work of a programmer/data scientists. Along with a very good support for almost all the functionalities provided by other modern day programming languages, it has a great in-built support for mathematical and statistical functions.

This section will briefly describe the standard Julia library along with some examples to make things easier for you. As per the official documentation given on the Julia website https://docs.julialang.org/en/release-0.6/#Standard-Library-1, the standard library can be distributed in the following subheadings:

  • Essentials
  • Collections and data structures
  • Mathematics
  • Numbers
  • Strings
  • Arrays
  • Tasks and parallel computing
  • Linear algebra
  • Constants
  • Filesystem
  • I/O and network
  • Punctuation
  • Sorting and related functions
  • Package manager functions...
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