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Programming in Julia (Quantitative Economics) - by Jesse Perla, Thomas J. Sargent, and John Stachurski. Along with being a complete textbook with Julia code for macroeconomics, this also is a very good introduction to Julia. Introducing Julia wikibook. A Comprehensive Tutorial to Learn Data Science with Julia from Scratch by Mohd Sanad Zaki Rizvi.
Woher kommt der Name Julia? Der Name Julia kommt aus dem Lateinischen und bezieht sich auf den römischen Geschlechternamen der „Gens Iulia“. Julia geht auf das lateinische Wort „iovilius“ zurück, welches übersetzt „dem Jupiter Geweiht“ bedeutet.
In Julia, a function is an object that maps a tuple of argument values to a return value. Julia functions are not pure mathematical functions, because they can alter and be affected by the global state of the program. The basic syntax for defining functions in Julia is: julia> function f(x,y) x + y. end f (generic function with 1 method) This ...
30. Sept. 2023 · Comparison of Python / Julia benchmarks for a maths problem. I am considering switching to Julia, but would like to know if it is worth it for such tasks. Here is the Python code I used: import random import numpy as np import matplotlib.pyplot as plt import time def benchmark_it(simul_func: callable, *args, **kwargs): def wrapper(*args, **kwargs): start = time.time() simul_func(*args ...
19. Feb. 2020 · Julia Vs. Python. Julia is a programming language used for scientific computation and mathematical programming. Julia is a combination of C and Python, which doesn’t mean that it literally copies any of the features from either of the languages. This combination holds the feature of high execution speed of C and flexible code writing of Python.
Julia provides ease and expressiveness for high-level numerical computing, in the same way as languages such as R, MATLAB, and Python, but also supports general programming. To achieve this, Julia builds upon the lineage of mathematical programming languages, but also borrows much from popular dynamic languages, including Lisp, Perl, Python ...
To build the julia executable, run make from within the julia directory.. Building Julia requires 2GiB of disk space and approximately 4GiB of virtual memory. Note: The build process will fail badly if any of the build directory's parent directories have spaces or other shell meta-characters such as $ or : in their names (this is due to a limitation in GNU make).
