Julia Tutorial
Selected Reading
- Julia - Discussion
- Julia - Useful Resources
- Julia - Quick Guide
- Julia - Databases
- Julia - Networking
- Working with Graphics
- Julia - Modules and Packages
- Working with Datasets
- Julia - Data Frames
- Julia - Plotting
- Julia - Metaprogramming
- Julia - Files I/O
- Julia - Date & Time
- Julia - Dictionaries & Sets
- Julia - Flow Control
- Julia - Functions
- Julia - Strings
- Basic Mathematical Functions
- Julia - Basic Operators
- Julia - Rational & Complex Numbers
- Integers & Floating-Point Numbers
- Julia - Tuples
- Julia - Arrays
- Julia - Basic Syntax
- Julia - Environment Setup
- Julia - Overview
- Julia - Home
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Julia - Discussion
Discuss Jupa
One of the facts about scientific programming is that it requires high performance flexible dynamic programming language. Unfortunately, to a great extent, the domain experts have moved to slower dynamic programming languages. There can be many good reasons for using such dynamic programming languages and, in fact, their use cannot be diminished as well. On the fpp side, what can we expect from modern language design and compiler techniques? Some of the expectations are as follows −;
It should eradicate the performance trade-off.
It should provide the domain experts a single environment that is productive enough for prototyping and efficient for deploying performance-intensive apppcations.
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