[Asp.netCore Series] 1 takes you throughAsp.netCore

0. Preface This is a new series namedASP.NETCore gets started in real life.This series of presentationsASP.NETCore MVC, which assists with some front-end basics (can be used to achieve what we need, not the main topic).This series will also be introduced laterASP.NETCore platform for other types of projects, and lead you to develop a website or ...

Posted by wilded1 on Wed, 10 Jun 2020 15:52:02 -0700

What does jquery do--Lebyte Front End

JQuery primary coverage Jquery Object JQuery is a set of multi-browser compatible javascript script libraries. The core idea is to write less and do more. Using jQuery will greatly improve the efficiency of writing javascript code, help developers save a lot of work, and make the code more elegant and robust, "like a tiger with wings.&qu ...

Posted by Bennettman on Wed, 10 Jun 2020 10:13:04 -0700

python crawling Douban short film review + CI Yun

1, requests+lxml non login crawling Douban data 1. First, open Douban and find the url of the short movie review you want to crawl, for example:2. Open the developer tools in the web page, and most computers can press F12 directly, but there are also differences. For example, ThinkPad uses Fn+F12 to open, find the network in the page - > cli ...

Posted by jpopuk on Tue, 09 Jun 2020 22:25:09 -0700

Centos7 deploy Nginx load balancing Tomcat server and session sharing architecture

brief introduction load balancing Load balancing is based on the existing network structure, which provides a cheap, effective and transparent way to expand the bandwidth of network equipment and servers, increase throughput, strengthen the capacity of network data processing, and improve the flexibi ...

Posted by TKirahvi on Tue, 09 Jun 2020 21:50:10 -0700

IDL learning - using IDL and ENVI to process OMI data, including ozone, formaldehyde and nitrogen dioxide

Copyright notice: This is the original article of the blogger, following CC 4.0 BY-SA copyright agreement. Please attach the original source link and this notice for reprint. This blog implements the https://disc.gsfc.nasa.gov/ The ozone, formaldehyde and nitrogen dioxide data downloaded from the we ...

Posted by NuLL[PL] on Sun, 07 Jun 2020 21:31:16 -0700

[build back-end microservice architecture from scratch] - 02 - system entry

Every system needs an entrance for users to enter, which is generally used to connect the public network and the internal network. It is the total entrance of system traffic and the front guard of the system. This paper mainly introduces the design from user initiated request to load balancing layer. ...

Posted by webaddict on Sun, 07 Jun 2020 03:42:30 -0700

[Nginx] basic concept and installation

1, Basic concept of Nginx 1. About Nginx What is Nginx Nginx (engine x) is a high-performance HTTP and reverse proxy server, characterized by less memory consumption and strong concurrency. It has been reported that it can support up to 50000 concurrent connections 2. Reverse proxy Forward agent The forward proxy is a kind of client proxy. The ...

Posted by subcool on Sun, 07 Jun 2020 03:09:57 -0700

Chapter 12 image classification - learning notes in the programming practice of HALCON machine vision and algorithm principle

Article catalog 12.1 classifier 12.1.1 basic knowledge of classification 12.1.2 MLP classifier 12.1.3 SVN classifier GMM classifier 12.1.5 k-NN classifier 12.1.6 select the appropriate classifier 12.1.7 selection of appropriate features 12.1.8 select appropriate training samples 12.2 classification ...

Posted by roscor on Sat, 06 Jun 2020 22:07:02 -0700

Java File class, do you know what api methods are there?

If you think this article is helpful to you, welcome old fellow to praise you. Your support is the biggest driving force for my creation. Article catalog 1 foreword 2 File class 3 create a File object 4 common methods in file object 5 File usage instance 5.1 basic use of file 5.2 obtaining failed ...

Posted by Marino on Sat, 06 Jun 2020 02:08:45 -0700

Back propagation of neural network

1, Neural network applied to classification problem: suppose there are m training samples, each containing a set of input x and a set of output y, l represents the number of neural network layers, SlS_{l}Sl represents the number of neurons in layer L. There are two kinds of neural network classification ...

Posted by remmargorp on Fri, 05 Jun 2020 02:26:39 -0700