[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