Shulou(Shulou.com)06/01 Report--

What are the libraries commonly used in Julia? for this question, this article introduces the corresponding analysis and solutions in detail, hoping to help more partners who want to solve this problem to find a more simple and easy way.

1. Statistical library

Statistics

Statistics-related libraries, because there are no common functions such as mean and var in Julia, you need to import them from Statistics

StatsBase

StatsBase, which is also a library of statistics, also contains many commonly used statistical functions

two。 Drawing

Plots, the official recommended drawing library, is very powerful. With portfoliocomposition, it can draw pictures with less code and rich content.

GR, a fast drawing tool, has a fast drawing speed and has an advantage in drawing some simple graphics.

The scientific calculation and drawing tool Gadfly can easily draw the data in DataFrame.

PyPlot, a drawing tool based on matplotlib in Python, has no pressure for students who are familiar with matplotlib.

3.IO operation

DelimitedFiles, you can directly write the matrix to the file, no longer need to use for traversal to read and write the file

CSV, read and write csv files, needless to say

JLD2,JLD2 is an improvement on JLD format, and it is also a HDF5 format, which is officially recommended by Julia to read and write files.

4. Scientific calculation

DataFrames, a necessary library for scientific computing, is the same as DataFrame in Python

RDatasets, scientific computing data sets, including many ready-made data sets for us to do algorithm research, such as iris

Distributions, a library related to probability distribution

MultivariateStats, a multidimensional data analysis library that contains PCA (Principal Component Analysis) methods

MLBase, the basic library of machine learning, does not contain any machine learning algorithms, but provides many necessary tools for machine learning, such as Cross validation, etc.

DecisionTree, decision tree algorithm library, which also contains random forest algorithm, AdaBoost algorithm

LIBSVM,SVM algorithm

GLM, GLMNet, linear regression algorithm

Clustering, the data classification algorithm, including our most commonly used K-means

TimeSeries, time series library

The answers to any questions about the libraries commonly used in Julia are shared here. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel to learn more about it.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.