Deprecations.jl: A Database Of Julia Deprecations and How to Fix Them

Deprecations

This package contains a database of deprecated syntax and functions and how to automatically upgrade them. This database can be found in the src/database.jl repository. In addition, it contains a number of utilities to aid in this task. The main user-facing entrypoints are the edit_text and edit_file functions, which take a text snippet or a file name respectively and applies all upgrades it knows how to. For the edit_file function, this is done in-place, so make sure not to use this on a file that you have not committed to version control. Ideally, however, you should not need to use this package directly, as it does not have sufficient context to determine which julia/package versions your file supports. Instead, consider using FemtoCleaner, or an IDE with integrated support for using the information in this package.

Installation Notes

Deprecations.jl requires the latest master of AbstractTrees and CSTParser. To Build first do:

Pkg.checkout("AbstractTrees")
Pkg.checkout("CSTParser")

Adding additional deprecations

There are currently two ways of adding deprecations to this package. However, they are both rather ad-hoc and if you can think of a better way, please open a PR. The two ways are:

  1. Manually using the CSTParser API. As an example see the ObsoleteVersionCheck deprecations. This kind of check can register itself to any CSTParser AST node and will get a callback whenever that node is encountered. This callback then determines whether or not the deprecation applies, and if so what the appropriate replacement is.
  2. By using the AST matcher utilities in this package. Most other deprecations follow this pattern. To use it, you simply provide two strings: The pattern to match, and the pattern to replace. Both must be vaild, parseable julia expressions. At any point you may insert a $NAME or $NAME... expression, which represents a wildcard match of one (or several for ...) expressions at that position in the parse tree. Similarly, using the same name in the replacement expression will splice the matched values in at that location in the parse tree. Appending an ! to the name in the replacement expression, will cause it to ignore surrounding whitespace. Otherwise whitespace from the replacement expression is added in addition to any whitespace that may be matched by one of the template variables.

Download Details:

Author: JuliaComputing
Source Code: https://github.com/JuliaComputing/Deprecations.jl 
License: View license

#julia #database 

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Deprecations.jl: A Database Of Julia Deprecations and How to Fix Them

Deprecations.jl: A Database Of Julia Deprecations and How to Fix Them

Deprecations

This package contains a database of deprecated syntax and functions and how to automatically upgrade them. This database can be found in the src/database.jl repository. In addition, it contains a number of utilities to aid in this task. The main user-facing entrypoints are the edit_text and edit_file functions, which take a text snippet or a file name respectively and applies all upgrades it knows how to. For the edit_file function, this is done in-place, so make sure not to use this on a file that you have not committed to version control. Ideally, however, you should not need to use this package directly, as it does not have sufficient context to determine which julia/package versions your file supports. Instead, consider using FemtoCleaner, or an IDE with integrated support for using the information in this package.

Installation Notes

Deprecations.jl requires the latest master of AbstractTrees and CSTParser. To Build first do:

Pkg.checkout("AbstractTrees")
Pkg.checkout("CSTParser")

Adding additional deprecations

There are currently two ways of adding deprecations to this package. However, they are both rather ad-hoc and if you can think of a better way, please open a PR. The two ways are:

  1. Manually using the CSTParser API. As an example see the ObsoleteVersionCheck deprecations. This kind of check can register itself to any CSTParser AST node and will get a callback whenever that node is encountered. This callback then determines whether or not the deprecation applies, and if so what the appropriate replacement is.
  2. By using the AST matcher utilities in this package. Most other deprecations follow this pattern. To use it, you simply provide two strings: The pattern to match, and the pattern to replace. Both must be vaild, parseable julia expressions. At any point you may insert a $NAME or $NAME... expression, which represents a wildcard match of one (or several for ...) expressions at that position in the parse tree. Similarly, using the same name in the replacement expression will splice the matched values in at that location in the parse tree. Appending an ! to the name in the replacement expression, will cause it to ignore surrounding whitespace. Otherwise whitespace from the replacement expression is added in addition to any whitespace that may be matched by one of the template variables.

Download Details:

Author: JuliaComputing
Source Code: https://github.com/JuliaComputing/Deprecations.jl 
License: View license

#julia #database 

Ruth  Nabimanya

Ruth Nabimanya

1620633584

System Databases in SQL Server

Introduction

In SSMS, we many of may noticed System Databases under the Database Folder. But how many of us knows its purpose?. In this article lets discuss about the System Databases in SQL Server.

System Database

Fig. 1 System Databases

There are five system databases, these databases are created while installing SQL Server.

  • Master
  • Model
  • MSDB
  • Tempdb
  • Resource
Master
  • This database contains all the System level Information in SQL Server. The Information in form of Meta data.
  • Because of this master database, we are able to access the SQL Server (On premise SQL Server)
Model
  • This database is used as a template for new databases.
  • Whenever a new database is created, initially a copy of model database is what created as new database.
MSDB
  • This database is where a service called SQL Server Agent stores its data.
  • SQL server Agent is in charge of automation, which includes entities such as jobs, schedules, and alerts.
TempDB
  • The Tempdb is where SQL Server stores temporary data such as work tables, sort space, row versioning information and etc.
  • User can create their own version of temporary tables and those are stored in Tempdb.
  • But this database is destroyed and recreated every time when we restart the instance of SQL Server.
Resource
  • The resource database is a hidden, read only database that holds the definitions of all system objects.
  • When we query system object in a database, they appear to reside in the sys schema of the local database, but in actually their definitions reside in the resource db.

#sql server #master system database #model system database #msdb system database #sql server system databases #ssms #system database #system databases in sql server #tempdb system database

Django-allauth: A simple Boilerplate to Setup Authentication

Django-Authentication 

A simple Boilerplate to Setup Authentication using Django-allauth, with a custom template for login and registration using django-crispy-forms.

Getting Started

Prerequisites

  • Python 3.8.6 or higher

Project setup

# clone the repo
$ git clone https://github.com/yezz123/Django-Authentication

# move to the project folder
$ cd Django-Authentication

Creating virtual environment

  • Create a virtual environment for this project:
# creating pipenv environment for python 3
$ virtualenv venv

# activating the pipenv environment
$ cd venv/bin #windows environment you activate from Scripts folder

# if you have multiple python 3 versions installed then
$ source ./activate

Configured Enviromment

Environment variables

SECRET_KEY = #random string
DEBUG = #True or False
ALLOWED_HOSTS = #localhost
DATABASE_NAME = #database name (You can just use the default if you want to use SQLite)
DATABASE_USER = #database user for postgres
DATABASE_PASSWORD = #database password for postgres
DATABASE_HOST = #database host for postgres
DATABASE_PORT = #database port for postgres
ACCOUNT_EMAIL_VERIFICATION = #mandatory or optional
EMAIL_BACKEND = #email backend
EMAIL_HOST = #email host
EMAIL_HOST_PASSWORD = #email host password
EMAIL_USE_TLS = # if your email use tls
EMAIL_PORT = #email port

change all the environment variables in the .env.sample and don't forget to rename it to .env.

Run the project

After Setup the environment, you can run the project using the Makefile provided in the project folder.

help:
 @echo "Targets:"
 @echo "    make install" #install requirements
 @echo "    make makemigrations" #prepare migrations
 @echo "    make migrations" #migrate database
 @echo "    make createsuperuser" #create superuser
 @echo "    make run_server" #run the server
 @echo "    make lint" #lint the code using black
 @echo "    make test" #run the tests using Pytest

Preconfigured Packages

Includes preconfigured packages to kick start Django-Authentication by just setting appropriate configuration.

PackageUsage
django-allauthIntegrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication.
django-crispy-formsdjango-crispy-forms provides you with a crispy filter and {% crispy %} tag that will let you control the rendering behavior of your Django forms in a very elegant and DRY way.

Contributing

  • Django-Authentication is a simple project, so you can contribute to it by just adding your code to the project to improve it.
  • If you have any questions, please feel free to open an issue or create a pull request.

Download Details:
Author: yezz123
Source Code: https://github.com/yezz123/Django-Authentication
License: MIT License

#django #python 

 iOS App Dev

iOS App Dev

1625133780

SingleStore: The One Stop Shop For Everything Data

  • SingleStore works toward helping businesses embrace digital innovation by operationalising “all data through one platform for all the moments that matter”

The pandemic has brought a period of transformation across businesses globally, pushing data and analytics to the forefront of decision making. Starting from enabling advanced data-driven operations to creating intelligent workflows, enterprise leaders have been looking to transform every part of their organisation.

SingleStore is one of the leading companies in the world, offering a unified database to facilitate fast analytics for organisations looking to embrace diverse data and accelerate their innovations. It provides an SQL platform to help companies aggregate, manage, and use the vast trove of data distributed across silos in multiple clouds and on-premise environments.

**Your expertise needed! **Fill up our quick Survey

#featured #data analytics #data warehouse augmentation #database #database management #fast analytics #memsql #modern database #modernising data platforms #one stop shop for data #singlestore #singlestore data analytics #singlestore database #singlestore one stop shop for data #singlestore unified database #sql #sql database

Ruth  Nabimanya

Ruth Nabimanya

1620640920

How to Efficiently Choose the Right Database for Your Applications

Finding the right database solution for your application is not easy. Learn how to efficiently find a database for your applications.

Finding the right database solution for your application is not easy. At iQIYI, one of the largest online video sites in the world, we’re experienced in database selection across several fields: Online Transactional Processing (OLTP), Online Analytical Processing (OLAP), Hybrid Transaction/Analytical Processing (HTAP), SQL, and NoSQL.

Today, I’ll share with you:

  • What criteria to use for selecting a database.
  • What databases we use at iQIYI.
  • Some decision models to help you efficiently pick a database.
  • Tips for choosing your database.

I hope this post can help you easily find the right database for your applications.

#database architecture #database application #database choice #database management system #database management tool