| .. | ||
| Data | ||
| jlFiles | ||
| Results | ||
| .gitattributes | ||
| .gitignore | ||
| LICENSE.txt | ||
| Readme.md | ||
| Tutorial_01_Basics.ipynb | ||
| Tutorial_02_Stats.ipynb | ||
| Tutorial_03_Functions.ipynb | ||
| Tutorial_03b_DataContainers.ipynb | ||
| Tutorial_04_Plots.ipynb | ||
| Tutorial_05_Finance.ipynb | ||
| Tutorial_06a_Arrays.ipynb | ||
| Tutorial_06b_MatrixAlgebra.ipynb | ||
| Tutorial_06c_ArrayFunctions.ipynb | ||
| Tutorial_07_Types.ipynb | ||
| Tutorial_08_DaysAndDates.ipynb | ||
| Tutorial_09_LoadSaveData.ipynb | ||
| Tutorial_10_Strings.ipynb | ||
| Tutorial_11_Printing.ipynb | ||
| Tutorial_12_MissingValues.ipynb | ||
| Tutorial_13_Downloading.ipynb | ||
| Tutorial_21_FindingRoots.ipynb | ||
| Tutorial_22a_Optimization_Optim.ipynb | ||
| Tutorial_22b_Optimization_NLopt.ipynb | ||
| Tutorial_22c_Optimization_Convex.ipynb | ||
| Tutorial_24_Integration.ipynb | ||
| Tutorial_25_Interpolation.ipynb | ||
| Tutorial_26_Py_R_C_Call.ipynb | ||
| Tutorial_31_PyPlot.ipynb | ||
| Tutorial_99_TrickyStuff.ipynb | ||
Introduction
This repository contains my Julia tutorials (aimed at students in finance and economics).
Instructions
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Most files are jupyter notebooks. Click one of them to see it online. If GitHub fails to render the notebook, then use nbviewer. Instructions: try to open the notebook at GitHub, copy the link and paste it in the address field of nbviewer.
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To download this repository, use the Download (as zip) in the Github menu. Otherwise, clone it.
On the Files
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Tutorial_ChapterNumber_Topic.ipynb are (relatively) short notebooks organised around different topics.
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The folder jlFiles contains some .jl files with functions used in some of the notebooks.
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The folder Data contains some data sets used in the notebooks, while the folder Results is for output.
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The current version is tested on Julia 1.6.