Project folder housing numerous Julia coded examples, text files, and Jupyter notebooks showcasing the Julia programming language for a Machine Learning Meetup presetation, Learning Tuesday Talk, or general tech chat.
The notebooks are the perfect aid to help introduce those new to Julia about key Julia features and highlight Julia performance benefits.
I am a big fan and supporter of Julia. To better understand the programming language I put this project together to educate myself and to be able to present to others.
You will need to install Julia and IJulia to utilize the Jupyter notebooks in this repository. Then, clone the repository and you are ready to go.
You will need at least Julia version 0.6.2
- juliaup
A recommended way to install Julia is to install juliaup which is a small, self-contained binary that will automatically install the latest stable Julia binary and help keep it up to date. It also supports installing and using different versions of Julia simultaneously.
Install juliaup by running this in your terminal:
curl -fsSL https://install.julialang.org | sh
This will install the latest stable version of Julia, which can be launched from a command-line by typing julia as well as the juliaup tool. To install different Julia versions see juliaup --help.
- Downloads If you want to manually download and install specific Julia versions, see the Downloads page.
Install IJulia using instructions here
Each notebook is a hodgepode of different topics illustrating Julia functionality and performance.
Thanks for visiting.
Give the project a star (⭐) if you liked it or if it was helpful to you!
You've beenlanced! 😉
I would like to extend my gratitude to all the individuals and organizations who helped in the development and success of this project. Your support, whether through contributions, inspiration, or encouragement, have been invaluable. Thank you.
Specifically, I would like to acknowledge:
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The folks at Julialang.org for their installation instructions and up-to-date information on the happenings with Julia.
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Hema Kalyan Murapaka and Benito Martin for sharing their README.md templates upon which I have derived my README.md.
This project is licensed under the MIT License - see the LICENSE file for details