PostgreSQL
1686353580
Build a Full Stack Spotify Clone with Next 13.4, React, Tailwind, Supabase, PostgreSQL, and Stripe
Full Stack Spotify Clone: Next 13.4, React, Stripe, Supabase, PostgreSQL, Tailwind
Build a Full Stack Spotify Clone with Next 13.4, React, Tailwind, Supabase, PostgreSQL, and Stripe! In this comprehensive tutorial, you'll learn how to develop a complete music streaming application from scratch, replicating the popular features and functionalities of Spotify.
Using the power of Next.js 13.4 and React, you'll create a responsive and dynamic user interface that closely resembles Spotify's sleek design. Harnessing the flexibility of Tailwind CSS, you'll style your application with ease and achieve a visually stunning result.
To handle the backend, you'll utilize Supabase, an open-source Firebase alternative built on top of PostgreSQL. You'll learn how to set up your Supabase project, create database schemas, and implement authentication, ensuring secure user registration and login processes.
Additionally, you'll integrate Stripe, a leading payment processing platform, to enable premium subscriptions within your Spotify clone. Discover how to handle transactions, securely manage user billing information, and provide a seamless payment experience.
Whether you're a beginner or an experienced developer, this tutorial will guide you through every step, explaining concepts along the way and empowering you to build scalable and production-ready applications. Join us on this exciting journey of creating a Full Stack Spotify Clone in 2023!
Key Features:
- Song upload
- Stripe integration
- Supabase and PostgreSQL Database handling
- Tailwind design for sleek UI
- Tailwind animations and transition effects
- Full responsiveness for all devices
- Credential authentication with Supabase
- Github authentication integration
- File and image upload using Supabase storage
- Client form validation and handling using react-hook-form
- Server error handling with react-toast
- Play song audio
- Favorites system
- Playlists / Liked songs system
- Advanced Player component
- Stripe recurring payment integration
- How to write POST, GET, and DELETE routes in route handlers (app/api)
- How to fetch data in server React components by directly accessing the database (WITHOUT API! like Magic!)
- Handling relations between Server and Child components in a real-time environment
- Cancelling Stripe subscriptions
Whether you're an experienced developer looking to expand your skillset or a beginner eager to learn the latest web development technologies, this tutorial has something for everyone. Join us on this exciting journey and take your web development skills to new heights!
Timestamps
00:00 Intro
02:05 Environment setup
09:47 Layout
56:21 Supabase setup
01:18:01 Supabase Types
01:23:29 Providers for auth and supabase
01:48:17 Authentication modal and functionality
02:24:41 Upload modal and functionality
02:56:33 Songs fetching and list display
03:41:34 Favorites functionality
04:03:09 Player functionality
04:53:19 Stripe integration
05:58:10 Subscribe modal and account page
06:37:57 Deployment
Discord for any problems/errors/bugs: https://discord.gg/v2kNnzRt33
Github Repository: https://github.com/AntonioErdeljac/next13-spotify
Supabase: https://supabase.com/
Stripe: https://stripe.com/
Subscribe: https://www.youtube.com/@codewithantonio/featured
1686317442
Build and Connect Python App to Multiple Databases
Build and Connect Python App to Multiple Databases
Learn how to build and connect Python App to multiple databases. You will explore the intricacies of working with multiple relational databases and learn how to harness Python's capabilities to manipulate, query, and manage data effectively across different database systems.
In today's data-driven world, businesses rely on multiple relational databases to store and manage their valuable information. Python, being a powerful and versatile programming language, offers a wide range of tools and libraries that enable seamless integration and interaction with these databases.
When creating Python programs, you'll likely want to populate data in an application automatically, or save data between user sessions. Databases help you to do this. They provide an organized structure so you can easily access, store, and manage large amounts of data. In this course, we'll look at how to use databases in Python 3, we'll create databases in SQLite, MySQL, SQL Server, Postgres. Then we'll experiment with those databases using special Python modules that implement the Python database API.
By the end of this course, you will have gained the expertise to confidently work with multiple relational databases using Python, enabling you to seamlessly integrate, manage, and manipulate data across different database systems. Whether you are a data engineer, database administrator, or Python developer, this advanced course will equip you with the skills and knowledge to tackle complex database challenges and drive impactful solutions in your organization. Join us on this exciting journey to master the art of advanced Python - working with multiple relational databases.
What you'll learn:
- Establishing database connections in Python.
- Performing CRUD operations (Create, Read, Update, Delete) on database records.
- Executing SQL queries using Python's database APIs.
- Working with different database management systems such as MySQL, PostgreSQL, SQLite, SQL Server
- Building a Python Application
- Connecting Python Application to multiple databases
- Creating databases and tables
#python #database #mysql #sqlite #sqlserver #postgresql
1686284686
Build a CRM with Google Sheets, PostgreSQL, Stripe and Retool
Build a CRM with Google Sheets + PostgreSQL + Stripe API Tutorial (Ecommerce Course)
Build a CRM (Customer Relationship Management tool) using the Retool low-code platform. We will be learning how to use the Google Sheet API, Stripe API, SMTP API as well as a PostgreSQL database.
A Customer Relationship Management (CRM) is a system that helps businesses organize and manage their customer relationships. It is basically a big database for customer information.
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:04:10) Getting started
⌨️ (0:06:24) Getting Data using the Google Sheets API
⌨️ (0:08:57) Creating Tables
⌨️ (0:38:05) Adding Data using the Google Sheets API
⌨️ (1:01:00) Deleting Data using the Google Sheets API
⌨️ (1:05:10) Processing refunds with the Stripe API
⌨️ (1:26:20) Sending emails with SMTP
⌨️ (1:45:21) Migrating to PostgreSQL
🔗 Google sheet data: https://docs.google.com/spreadsheets/d/1aKglh0-w8dwyKssc9CJwKiOqTc-COPCuyx4zXnuv3Wg/edit?usp=sharing
🔗 Postgresql data: https://github.com/harryho/db-samples/blob/master/pgsql/northwind.sql
#googlesheets #postgresql #stripe #retool
1686274406
How to Build a Simple REST API with Node.js and PostgreSQL
In this tutorial , we will learn how to create a simple RESTful API using Node.js and PostgreSQL. This REST API would serve a list of users. So we would setup PostgreSQL and create a database and a users table. Then we would also setup Node.js and create database connection. Whether you're an experienced developer or new to Node.js and PostgreSQL, this tutorial video is a valuable resource for anyone looking to build robust and scalable web applications.
Table of Contents
- Setup PostgreSQL/Nodejs
- Create Database Connection
- Create the Server and Client
- Get All Users
- Get User By Id
- Add New User
- Update User
- Delete User
- Next Steps
Let's get started
1. Setup PostgreSQL/Nodejs
Interestingly, both PostgreSQL and Node.js are free!
Install both packages. Please watch the video for the step by step. But it’s quite easy and clear.
Run this command to install PostgreSQL
npm install pg --save
2. Create Database Connection
Create a file called connection.js. This file would hold the connection data as shown below:
const {Client} = require('pg')
const client = new Client({
host: "localhost",
user: "postgres",
port: 5432,
password: "rootUser",
database: "postgres"
})
module.exports = client
3. Create the Server and Client
Node.js allows us to create a server. Now you need to create a second file. I call it api.js (but you can give it any name).
Write the following code inside. This code creates a server listening at port 3300. Then a client is create as well that connects to the server.
const client = require('./connection.js')
const express = require('express');
const app = express();
app.listen(3300, ()=>{
console.log("Sever is now listening at port 3000");
})
client.connect();
Add the BodyParser: This is used to handle conversion to and from json.
const bodyParser = require("body-parser");
app.use(bodyParser.json());
You also need to install body-parser using npm install
4. Get All Users
For GET requests, we use app.get() function. This function takes two parameters: the route /users and a callback. The callback is an arrow function that executes when a request is received. The callback take two parameter: request and response. Inside the callback, we use the client to query the database and then send the result back.
app.get('/users', (req, res)=>{
client.query(`Select * from users`, (err, result)=>{
if(!err){
res.send(result.rows);
}
});
client.end;
})
client.connect();
5. Get User By Id
The code below is used to get a single user by id. Take note of how the parameter is passed in the url.
app.get('/users/:id', (req, res)=>{
client.query(`Select * from users where id=${req.params.id}`, (err, result)=>{
if(!err){
res.send(result.rows);
}
});
client.end;
})
client.connect();
6. Add New User
You can post a new user using the code below:
app.post('/users', (req, res)=> {
const user = req.body;
let insertQuery = `insert into users(id, firstname, lastname, location)
values(${user.id}, '${user.firstname}', '${user.lastname}', '${user.location}')`
client.query(insertQuery, (err, result)=>{
if(!err){
res.send('Insertion was successful')
}
else{ console.log(err.message) }
})
client.end;
})
7. Update User Details
Basically, the the update code follows the same pattern:
app.put('/users/:id', (req, res)=> {
let user = req.body;
let updateQuery = `update users
set firstname = '${user.firstname}',
lastname = '${user.lastname}',
location = '${user.location}'
where id = ${user.id}`
client.query(updateQuery, (err, result)=>{
if(!err){
res.send('Update was successful')
}
else{ console.log(err.message) }
})
client.end;
})
8. Delete a User
The delete code is given below:
app.delete('/users/:id', (req, res)=> {
let insertQuery = `delete from users where id=${req.params.id}`
client.query(insertQuery, (err, result)=>{
if(!err){
res.send('Deletion was successful')
}
else{ console.log(err.message) }
})
client.end;
})
9. Next Steps
Now I recommend we do the same using MySQL. The procedure is similar with just minor difference relating to the connection. I’ll leave this up to you as a home.
So we succeeded in building the API and creating database connection. Once you have an API (Application Programming Interface), then you also need a UI(User Interface). In the next lesson, we would build the UI using Angular 11, Angular Materials and Bootstrap.
Originally published by kindsonthegenius at kindsonthegenius
Happy Coding!!!
1686126000
Discourse: A Platform for Community Discussion. Free, Open, Simple
Discourse is the 100% open source discussion platform built for the next decade of the Internet. Use it as a:
- mailing list
- discussion forum
- long-form chat room
To learn more about the philosophy and goals of the project, visit discourse.org.
Screenshots
Browse lots more notable Discourse instances.
Development
To get your environment setup, follow the community setup guide for your operating system.
- If you're on macOS, try the macOS development guide.
- If you're on Ubuntu, try the Ubuntu development guide.
- If you're on Windows, try the Windows 10 development guide.
If you're familiar with how Rails works and are comfortable setting up your own environment, you can also try out the Discourse Advanced Developer Guide, which is aimed primarily at Ubuntu and macOS environments.
Before you get started, ensure you have the following minimum versions: Ruby 3.2+, PostgreSQL 13, Redis 7. If you're having trouble, please see our TROUBLESHOOTING GUIDE first!
Setting up Discourse
If you want to set up a Discourse forum for production use, see our Discourse Install Guide.
If you're looking for business class hosting, see discourse.org/buy.
Requirements
Discourse is built for the next 10 years of the Internet, so our requirements are high.
Discourse supports the latest, stable releases of all major browsers and platforms:
| Browsers | Tablets | Phones |
|---|---|---|
| Apple Safari | iPadOS | iOS |
| Google Chrome | Android | Android |
| Microsoft Edge | ||
| Mozilla Firefox |
Additionally, we aim to support Safari on iOS 15.7+.
Built With
- Ruby on Rails — Our back end API is a Rails app. It responds to requests RESTfully in JSON.
- Ember.js — Our front end is an Ember.js app that communicates with the Rails API.
- PostgreSQL — Our main data store is in Postgres.
- Redis — We use Redis as a cache and for transient data.
- BrowserStack — We use BrowserStack to test on real devices and browsers.
Plus lots of Ruby Gems, a complete list of which is at /main/Gemfile.
Contributing
Discourse is 100% free and open source. We encourage and support an active, healthy community that accepts contributions from the public – including you!
Before contributing to Discourse:
- Please read the complete mission statements on discourse.org. Yes we actually believe this stuff; you should too.
- Read and sign the Electronic Discourse Forums Contribution License Agreement.
- Dig into CONTRIBUTING.MD, which covers submitting bugs, requesting new features, preparing your code for a pull request, etc.
- Always strive to collaborate with mutual respect.
- Not sure what to work on? We've got some ideas.
We look forward to seeing your pull requests!
Security
We take security very seriously at Discourse; all our code is 100% open source and peer reviewed. Please read our security guide for an overview of security measures in Discourse, or if you wish to report a security issue.
The Discourse Team
The original Discourse code contributors can be found in AUTHORS.MD. For a complete list of the many individuals that contributed to the design and implementation of Discourse, please refer to the official Discourse blog and GitHub's list of contributors.
Copyright / License
Copyright 2014 - 2023 Civilized Discourse Construction Kit, Inc.
Licensed under the GNU General Public License Version 2.0 (or later); you may not use this work except in compliance with the License. You may obtain a copy of the License in the LICENSE file, or at:
https://www.gnu.org/licenses/old-licenses/gpl-2.0.txt
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Discourse logo and “Discourse Forum” ®, Civilized Discourse Construction Kit, Inc.
Accessibility
To guide our ongoing effort to build accessible software we follow the W3C’s Web Content Accessibility Guidelines (WCAG). If you'd like to report an accessibility issue that makes it difficult for you to use Discourse, email accessibility@discourse.org. For more information visit discourse.org/accessibility.
Dedication
Discourse is built with love, Internet style.
Download Details:
Author: Discourse
Source Code: https://github.com/discourse/discourse
License: GPL-2.0 license
1686063016
PagerDuty Clone with PostgreSQL, Stripe API, Twilio and SMTP
Build Your Own SaaS - PagerDuty Clone. You'll Learn PostgreSQL + Stripe API + Twilio + SMTP
Learn how to build your own SaaS app. You will create your own PagerDuty clone using PostgreSQL, Stripe, Twilio, SMTP, and Retool.
You will build a dashboard that lets you know if your app goes down, and then notifies you through email and SMS.
⭐️ Contents ⭐️
00:00 Introduction
02:51 Tutorial Starts
03:41 Working with pre-made UI Components
16:26 Setting up our Postgres database
18:58 Creating Tables in Postgres
29:00 Feeding in Data to our Dashboard
39:09 Adding new Incidents
48:53 Deleting Incidents
50:49 The Team members page
1:04:42 Hooking up the Twilio and SMPT API
#saas #postgresql #stripe #twilio #api
1686056700
MindsDB: A Server for Artificial Intelligence Logic
MindsDB is a Server for Artificial Intelligence Logic, enabling developers to ship AI powered projects from prototyping & experimentation to production in a fast & scalable way.
We do this by abstracting Generative AI, Large Language and other Models as a virtual tables (AI Tables) on top of enterprise databases. This increases accessibility with organizations and enables development teams to use their existing skills to build applications powered by AI.
By taking a data-centric approach to AI MindsDB brings the process closer to the source of the data minimizing the need to build and maintain data pipelines and ETL’ing, speeding up the time to deployment and reducing complexity.
MindsDB has an active and helpful community. Feel free to join our Slack and check-out the rewards and community programs.
Use cases
Here are some popular use cases you can build with MindsDB:
- Conversational AI: Leverage MindsDB native integrations with data platforms and pre-trained large language models, like OpenAI's GPT, to quickly build conversational AI solutions without the overhead of managing complex data pipelines.
- Fraud Detection: MindsDB can help developers build models to detect fraudulent activity in financial transactions, eCommerce platforms etc.
- Sales Forecasting: MindsDB can be used to develop models to predict future sales based on historical sales data, allowing businesses to make better-informed decisions.
- Customer Segmentation: MindsDB can help developers segment customers based on their behavior, preferences, and other factors, allowing businesses to tailor their marketing efforts.
- Sentiment analysis: MindsDB native integration with pre-trained models like OpenAI GPT or Hugging Face can be used to analyze the sentiment of a text data, such as a customer reviews - in a single command, instead of individual API calls and ETL-ing data.
- Predictive Maintenance: MindsDB can be used to build models to predict when equipment or machinery is likely to fail, allowing for proactive maintenance and minimizing downtime.
See more examples and community tutorials here
Demo
You can try MindsDB using our demo environment with sample data for most popular use cases.
Installation
The prefered way is to use MindsDB Cloud free demo instance or use a dedicated instance. If you want to move to production use the AWS AMI image/
To install locally or on-premise pull the latest Docker image:
docker pull mindsdb/mindsdb
How it works
- CONNECT MindsDB to your data platform. We support 100+ data platforms and this list is constantly growing. If you can’t find the integration you need, please let us know.
- CREATE MODEL to connect the AI Engine you pick that will learn from your data and serve it as AI Table.
- JOIN such model with your database tables to make predictions for thousands or even millions of data points at once, or run SELECT statements or API calls to make one time predictions.
- Set up a JOB to automate your re-training cycle and predictions pipelines for the new incoming data.
- Alternatively, use REST API to query the models
Follow the quickstart guide with sample data to get on-boarded as fast as possible.
Database Integrations
MindsDB works with most of the SQL and NoSQL databases, data lakes and popular applications.
| Connect your Data | Connect your Data | Connect your Data |
|---|---|---|
 |  |  |
 |  |  |
 |  |  |
 |  |  |
 |  |  |
 |  |  |
 |  |  |
 |  |  |
 |  |  |
 |  | |
 |  |  |
 |  |  |
 |  | |
 |  | |
 |  | |
 |  | |
 |  |
:question: :wave: Missing integration?
Documentation
You can find the complete documentation of MindsDB at docs.mindsdb.com.
Support
If you found a bug, please submit an issue on GitHub.
To get community support, you can:
- Post at MindsDB Slack community.
- Ask for help at our GitHub Discussions.
- Ask a question at Stackoverflow with a MindsDB tag.
If you need commercial support, please contact MindsDB team.
Contributing
A great place to start contributing to MindsDB is to check our GitHub projects :checkered_flag:
- Tutorials & documentation dashboard tasks.
- Code contributor's dashboard tasks.
- First timers only issues, if this is your first time contributing to an open source project.
We are always open to suggestions so feel free to open new issues with your ideas and we can guide you!
Being part of the core team is accessible to anyone who is motivated and wants to be part of that journey! If you'd like to contribute to the project, refer to the contributing documentation.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project, you agree to abide by its terms.
Also, check out the rewards and community programs.
Subscribe to updates
Join our Slack community and subscribe to the monthly Developer Newsletter to get product updates, information about MindsDB events and contests, and useful content, like tutorials.
Website | Docs | Community Slack | Contribute | Demo | Hackathon
Download Details:
Author: mindsdb
Source Code: https://github.com/mindsdb/mindsdb
License: GPL-3.0 license
1685962440
How To Build Full Stack Apps with Next.js 13
Next.js 13 Crash Course | Learn How To Build Full Stack Apps!
In today's episode we are going to start off a series where we are going to build loads of stuff with Next.js. I am going to give you a full rundown of the main features included in Next 13 to get you up and going.
After we get familiar with Next13, we will cover Typescript, Postgresql and Prisma to create a full stack app in the future.
#nextjs #typescript #postgresql #prisma
1628715600
How to generate GraphQL APIs automatically from a PostgreSQL database
PostGraphile automatically creates GraphQL APIs for PostgreSQL from the database schema.
1628712000
How to make PostgreSQL persistent
In this episode, we will move our tasks storage from in-memory to a PostgreSQL database.
1628590072
Which is Better: PostgreSQL or MySQL?
There are many Relational Database Management Systems (RDBMS) available in the market, and PostgreSQL and MySQL are among the two most popular ones. Both options offer many advantages and are highly competitive. Therefore, it is essential to understand their differences in order to choose the most appropriate one for each case.
In that sense, this article provides a deep comparison between PostgreSQL and MySQL, considering aspects such as the data types, ACID compliance, indexes, replication, and more. Further, it entails which one to choose and highlights the importance of considering the application's requirements.
1628552280
Easiest Way to Query and Save Data To PostgreSQL with Python
PostgreSQL is an open-source Enterprise Database Management System. Python and PostgreSQL work well together and in this video, I'll show you the easiest way to query and save data to PostgreSQL. The trick lies in leveraging pandas. I'll also share many secrets and best practices!
1628541360
An In-depth Look At PostgreSQL
PostgreSQL is the Go-To DBMS of Python. In this video, I give you an in-depth look at PostgreSQL, discuss its many strengths and its weaknesses. You need to watch the full video to gain a full understanding of what PostgreSQL offers and considerations if you are coming from an Oracle or SQL Server background. How powerful is SQL implementation? Can it handle large workloads? Is it secure? and many more questions are answered. Having worked with PostgreSQL on a consulting contract, I share my professional experience as well. Please join me on this exciting journey.
1628517610
How to Running PostgreSQL in Docker
PostgreSQL is an open-source, object-relational database management system. It has been around for over 30 years and advertises itself as “the most advanced open-source relational database in the world”.
Docker has become a standard in the IT industry when it comes to packaging, deploying, and running distributed applications with ease. Docker containers let you quickly spin up new applications without cluttering your system with dependencies.
You can use Docker to run a PostgreSQL database in a container as if it were a remote server. Docker containers are based on open standards, enabling containers to run on all major Linux distributions, MacOS and Microsoft Windows.
1628420100
How to uninstall PostgreSQL || Ubuntu 20.04 LTS
How to uninstall PostgreSQL || Ubuntu 20.04 LTS
Commands use:
$ dpkg -l | grep postgres
$ sudo apt-get --purge remove pgdg-keyring postgresql postgresql-13 postgresql-client-13 postgresql-client-common postgresql-common
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#postgresql #ubuntu #ubuntu 20.04
