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Python3 Data Science Introduction and combat

The 1th chapter constructs the experiment environment1-1 guided Video1-2 Anaconda and Jupyter Notebook introduction1-3 Anaconda installation demo on Mac1-4 Anaconda Installing the demo on Windows1-5 Anaconda installation demo on LinuxUse of 1-6 Jupyter-notebook demo2nd Chapter NumPy Introduction2-1 Data Science field 5 common Python libraries2-2 matrix operations for the review of Mathematical fundamentals2

(Data Science Learning Codex) a detailed introduction to the RE module in Python

First, IntroductionAs for regular expressions, I have already made a detailed introduction in the previous (Data Science Learning Codex 31), which summarizes the common functions of the self-contained module re in Python.As a module supported by Python for regular expression related functions, re provides a series of methods to complete the processing of almost all types of textual information, as described

Python3 Data Science Foundation

Chapter I.1. Anaconda (the most famous Python data science platform)Let's start with the Anaconda.What is Anaconda????Reply:(1), Scientific computing platform(2), there are a lot of convenient bags for us to use(3), cross-platform: Mac \linux\windows(4), most importantly: Open source free of charge and community for small friends to exchange2, Installation Anaconda: https://mirror.tuna.tsinghua.edu.cn/help/

Jupyter, block-level interaction and quick display tool for data science

1. Introduction Interactive (interactive) data science and science computing tools, main cell interaction and quick display .It is an Open-source project derived from the IPython.Official Website Address cell interactionAt the command line, interact with the unit of behavior;In the IDE, execute once in the form of a source file.If you want to perform a paragraph

Johns Hopkins University series of data Science courses--r language: extracting subsets

TRUEFALSE TRUEFALSE TRUE> x[good][11245Complete.cases () can also handle matrix data> airquality[1:6,] Ozone SOLAR.R Wind TempMonth Day1 A the 7.4 the 5 12 $ 118 8.0 the 5 23 A 149 12.6 About 5 34 - 313 11.5 + 5 45Na Na14.3 About 5 56 -NA14.9 the 5 6> Airquality[good, [1:6,] Ozone SOLAR.R Wind TempMonth Day1 A the 7.4 the 5 12 $

How to write a paper <a low-energy data fusion privacy protection algorithm espart> (Journal of computer science 2011-5, Wang Anqi)

This is a paper I have spent a month in my postgraduate studies. It takes only a month to design and write a paper. It can be more than just a few minutes to publish, add, modify, and wait for the paper to be published, I remember writing started in November 2010. I wrote it in December 2010. I made a draft at the end of 2010. I changed it several times in early 2011 and finally published it in May. In November 2010, my tutor said that there were many topics that could be studied on wireless se

Using Latex to edit paper-level data science articles in the blog park

The first example we look at in the drafting process, we need a formula: $p ={12\over q}$, then we observe the effect. And then another one that uses \ (to do the inline \ (p={12\over q}\) Latex formula for the delimiterIn the following example, we have a large section of mathematical formulas, and we have another line to show:$$|\vec{a}|=\sqrt{a_x^2 + a_y^2 + a_z^2}.$$These two models are basically enough, and the specific Latex syntax must be self-GoogleUsing Latex to edit paper-level

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