Month of Julia

Julia is a high-performance platform for applying Functional Programming principles to statistical and scientific problems. Julia already has a large and growing user base, resulting in a diverse range of additional packages. It's a high high-level language, so relatively easy to learn and write (think Python). However, it has a sophisticated JIT compiler which results in execution speeds comparable to C and FORTRAN.

R is still my preferred tool for day to day analytical tasks but I can see that I will be dabbling more and more with Julia in the future.

Links to Blog Posts

The code in this repository was written to accompany a series of blog posts, which can be accessed here or directly via the list below. I'll apologise in advance that I have been sloppy in places and sometimes used the incorrect nomenclature. For instances, talking about "methods" when I should have said "functions", or "class" when I should have said "type". I trust that the intent will still be clear.

• Day 1: Installation and Orientation
• Day 2: Development Environments
• Day 3: Variables and Data Types
• Day 4: Functions
• Day 5: Collections
• Day 6: Composite Types
• Day 7: Functional Programming
• Day 8: Iteration, Conditionals and Exceptions
• Day 9: Input/Output
• Day 10: Modules
• Day 11: Metaprogramming
• Day 12: Parallel Processing
• Day 13: Packages
• Day 14: Data
• Day 15: Time Series
• Day 16: Databases
• Day 17: Datasets from R
• Day 18: Plotting
• Day 19: Units
• Day 20: Calculus
• Day 21: Differential Equations
• Day 22: Optimisation
• Day 23: Data Structures
• Day 24: Graphs
• Day 25: Interfacing with Other Languages
• Day 26: Statistics
• Day 27: Distributions
• Day 28: Hypothesis Tests
• Day 29: Distances
• Day 30: Clustering
• Day 31: Regression
• Day 32: Classification
• Day 33: Evolutionary Algorithms
• Day 34: Networking
• Day 35: Mapping
• Day 36: Markdown
• Day 37: Fourier Techniques
• Day 38: Imaging

Acknowledgements

In the process of putting these notes together, I used the following invaluable references:

• Getting Started with Julia (Ivo Balbaert, Packt);
• Julia by Example;
• Introducing Julia;
• Julia Documentation;
• The Julia Manual;
• Learn Julia (Chris von Csefalvay, Manning).