[2D compression] | conditional image run length coding

1, Run length encoding The idea behind this data compression method is: if a data item d appears n times continuously in the input stream, replace n times with a single pair of nd. Then, the continuous occurrence of a data item is called run length N, and this method of data compression is called run length coding or RLE. We first apply ...

Posted by Quevas on Mon, 16 May 2022 22:50:47 +0300

Bayesian experiment report

1, Experimental purpose Learn how to infer the behavior model and solve the problem by using the short message mca-3. 2, Experiment contents and steps (including problems, codes, results and conclusions) 2.1 SMS data inference behavior Title: code: Data reading and display: import pymc3 as pm import matplotlib.pyplot as plt import nump ...

Posted by GYK on Mon, 16 May 2022 22:26:11 +0300

Programming practice of Spark Streaming+Kafka based on Python

explain There are many articles explaining the principle of Spark Streaming, which will not be introduced here. This paper mainly introduces the programming model, coding practice and some optimization instructions using Kafka as the data source spark streaming:http://spark.apache.org/docs/1.6.0/streaming-programming-guide.html streaming-kafka ...

Posted by Adam_28 on Mon, 16 May 2022 21:59:57 +0300

Xiaozha's learning notes python day54 [MySql] (2020-09-09 18:12)

Database DB The database itself supports concurrent network operations Using database to add, delete, check and modify data is more efficient than storing data in files Each folder is a database Database management system DBMS: sqlserver MySQL Oracle install Download: https://downloads.mysql.com/archives/community/ Select the version and ...

Posted by osiris1603 on Mon, 16 May 2022 17:00:40 +0300

I just can't control my hands

Some recent tossing insights. Personal blog things In fact, I started the construction of personal blog website from a very early time, which initially benefited from GitHub Opening of IO domain names. In general, the history of building my blog is mainly divided into three stages. Phase I The first stage belongs to simplicity supremacy. Us ...

Posted by ngu_tri on Mon, 16 May 2022 15:58:17 +0300

What is a Web Server What is WSGI and specific implementation examples

Take Flask as an example: Source code analysis (1): WSGI From: https://www.csdn.net/tags/MtTaEgzsNTYyNzcyLWJsb2cO0O0O.html 2022-03-26 18:35:03 To understand the source code of Flask, you must have a certain Python foundation and be familiar with the concepts and usage of decorator s, magic method s, iterator s, and generator s. Another po ...

Posted by reaper7861 on Mon, 16 May 2022 13:42:56 +0300

Financial Computing and Programming matplotlib Preliminary

Here is the second lesson in Financial Computing and Programming What I'm learning today is matplotlib - the most basic drawing library in python. import matplotlib.pyplot as plt import numpy as np 1. We first generate a one-dimensional y (to draw a line chart) Just draw a picture np.random.seed(250) y = np.random.standard_normal(20) x ...

Posted by gfmitchell on Mon, 16 May 2022 09:22:37 +0300

Go launched http2 0 request flow analysis (later) - header compression

Reading suggestions This is HTTP 2 0 series, the author recommends reading in the following order: HTTP request in Go -- http1 1 request process analysis Go launched http2 0 request process analysis (previous) Go launched http2 0 request flow analysis (Part 2) -- data frame & flow control review In the previous article (* http2clientco ...

Posted by brandone on Mon, 16 May 2022 09:17:40 +0300

Python simple exercise: 11 questions

1. Calculate the sum of all numbers in a string def numsum(s): sum=0 #Define variables and prepare to record the sum of numbers for i in range(len(s)): #Traversal string if s[i]>='0' and s[i]<='9': #If the character at i is a character sum= sum + int(s[i]) #Convert characters to int and sum return sum ...

Posted by jredwilli on Mon, 16 May 2022 02:09:03 +0300

Linear regression prediction of Boston house prices

1, Experimental purpose 1. Understand the basic principle of linear regression and master the basic formula derivation. 2. Be able to manually implement fit and predict functions in LinearRegression by using formulas. 3. Be able to use the LinearRegression realized by yourself and the LinearRegression in sklearn to predict the house price in ...

Posted by murpe on Sun, 15 May 2022 22:10:37 +0300