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Installing MySQL 8.0 Server with EntityFramework in Visual Studio 2017

Install MySQL Server 8.0
Install Complete MySQL Connector.Net x86 8.0.16
Install Complete MySQL Visual Studio Plugin 1.2.8
If after installing MySQL Visual Studio Plugin it shows warning that failed to execute comamnd devenv /updateconfiguration, then manually execute that command in Developer Command Prompt for Visual Studio 20xx with run as administrator.
Run this command Install-Package EntityFramework -Version 6.4.0 in Visual Studio Nuget package manager console
Run this command Install-Package MySql.Data -Version 8.0.16 in Visual Studio Nuget package manager console
Run this command Install-Package MySql.Data.EntityFramework -Version 8.0.16 in Visual Studio Nuget package manager console

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Visual Studio Code Must have Extensions

Hello World! Every programmer loves IDE and auto-complete inetllisense facilities in IDE's and editor tools. Since when Visual Studio Code came into market, it has attracted a lot of popularity among every age group of coders. But, any of the program doesn't suit to everyone's need, and thier comes the existence of extensions. Here I am listing out some of the very usefull extensions, that every Visual Studio Code user must have.

Hit Star if you liked this.

Just search the title in extensions marketplace.

Visual Studio Must have Extensions

Hello World! Every programmer loves IDE and auto-complete inetllisense facilities in IDE's and editor tools. But, any of the program doesn't suit to everyone's need, and thier comes the existence of extensions. Here I am listing out some of the very usefull extensions, that every Visual Studio user must have.

Hit Star if you liked this.

Just search the title in extensions marketplace.

Installing MySQL 5.7 Server with EntityFramework in Visual Studio 2017

Install MySQL Server 5.7.25
Install Complete MySQL Connector.Net 6.9.10
Install Complete MySQL Visual Studio Plugin 1.2.8
If after installing MySQL Visual Studio Plugin it shows warning that failed to execute comamnd devenv /updateconfiguration, then manually execute that command in Developer Command Prompt for Visual Studio 20xx with run as administrator.
Right Click References > Add > Click Assemblies or Extensions > Search MySQL > Tick all
Comment the following kind of similar code from Web.config

Remotely connect to IIS Web Server.

Whenever you want to perform any tasks related to IIS on server you might be starting mstsc aka Remote Desktop Connection RDP for those tasks, but using the facility of remotely managing IIS from client IIS, no need of RDP now and then.

Follow the simple steps on IIS Server and client IIS machine.

Process on Server IIS

Run the following commands in powershell on the remote IIS Server
Install-WindowsFeature Web-Server

Installing MySQL 8.0 Server with EntityFramework in Visual Studio 2019

Install MySQL Server 8.0.16
Install Complete MySQL Connector.Net x86 8.0.16
Install this custom repacked VSIX MySQL Visual Studio
If after installing MySQL Visual Studio Plugin it shows warning that failed to execute comamnd devenv /updateconfiguration, then manually execute that command in Developer Command Prompt for Visual Studio 20xx with run as administrator.
Run this command Install-Package EntityFramework in Visual Studio Nuget package manager console
Manage Nuget Packages > Search Mysql > install Mysql.Data v8.0.16
Manage Nuget Packages > Search Mysql > install Mysql.Data.Entity v6.10.8
Manage Nuget Packages > Search Mysql.Data.EntityFramework > install Mysql.Data.EntityFramework v8.0.16

Let's Encrypt Wild Card Certificate Generation in IIS

Linux CentOS 7

Commands to execute

cd /usr/local/bin
yum install letsencrypt OR wget https://dl.eff.org/certbot-auto OR sudo snap install --classic certbot
chmod 777 ./certbot-auto
cd certbot-auto

	"""Keras 1.0 metrics.

	This file contains the precision, recall, and f1_score metrics which were
	removed from Keras by commit: a56b1a55182acf061b1eb2e2c86b48193a0e88f7
	"""
	from keras import backend as K


	def precision(y_true, y_pred):
	"""Precision metric.

	import matplotlib.pyplot as plt
	import keras.backend as K
	from keras.callbacks import Callback


	class LRFinder(Callback):

	'''
	A simple callback for finding the optimal learning rate range for your model + dataset.