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Code/19.Packages.txt

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+Therer are a lot of different useful packages for julia. All official
+Packages can be found at https://juliaobserver.com/packages (I think)
+
+Here are a couple of good packages i use a lot.
+
+IJulia:
+This package is required for using Julia in jupyter.
+
+LinearAlgebra:
+This package comes with julia without any need for installation and includes
+a lot of linear algebra functionality, comparable to numpy.linalg.
+
+Statistics:
+Distributions, mean, standard deviations, etc...
+
+Plots:
+Creates nice plots. Has support for multiple backends (including pyplot).
+
+PyCall:
+makes it possible to import python packages into julia and write python code
+in julia files. Anytime there exists a useful python package and no julia
+equivalent, this package saves lives.
+
+Primes:
+I do not know what magic they put into making this package, but I have never
+seen a so fast funtion for checking if a number is prime ever.
+The package is useful for working with prime numbers.
+
+Memoize:
+A useful package for automatically memoizing a function. For people taking
+algorithms and datastructures, this will make more sence later in the course.
+
+Images:
+Useful to handle images. Terrible slow to load the package, but once loaded
+it is quite fast and very featureful.
+
+SymPy:
+A wrapper for pythons sympy package which is arguably much better than
+sympy itself.
+
+Printf:
+Wrapper for the C- printf style functions for fast string formating.
+
+CSV:
+Package for reading/writing .csv (comma seperated values) files.
+
+JSON:
+Package for reading/writing .json files.