Build and Deploy GraphQL Server to Heroku

Learn how to build and deploy GraphQL Server to Heroku.

Build and deploy GraphQL Server to Heroku - Part 1 - Project Setup and Installation

In this series,we will create a simple GraphQL server, learning the basics step by step while we build an API for a school management system. When done, we will deploy our server to Heroku and later build a frontend using VueJS and Apollo client.

Build and deploy GraphQL Server to Heroku - Part 2 - Writing the Schema

GraphQL is all about Types and fields so in this video we create the GraphQL schema. Learn more about GraphQL Schema and Types in this video and the third video in this series.

We will add our resolvers in the next video and connect to MongoDB Atlas so stay tuned

#GraphQL #Heroku #WebDev #Databases

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Build and Deploy GraphQL Server to Heroku

Learn how to build and deploy GraphQL Server to Heroku.

Build and deploy GraphQL Server to Heroku - Part 1 - Project Setup and Installation

In this series,we will create a simple GraphQL server, learning the basics step by step while we build an API for a school management system. When done, we will deploy our server to Heroku and later build a frontend using VueJS and Apollo client.

Build and deploy GraphQL Server to Heroku - Part 2 - Writing the Schema

GraphQL is all about Types and fields so in this video we create the GraphQL schema. Learn more about GraphQL Schema and Types in this video and the third video in this series.

We will add our resolvers in the next video and connect to MongoDB Atlas so stay tuned

#GraphQL #Heroku #WebDev #Databases

How to Build Apollo GraphQL Server From Scratch

What is GraphQL

GraphQL is a query language and a server-side runtime that is used to request data from the server. The first thing that comes to mind when hearing the term “query language” is SQL. Just as SQL is used for querying databases, GraphQL is a bit like SQL but for querying web APIs as it eliminates the need to repeatedly develop or change existing end-points. GraphQL also enables the client/front-end to retrieve exactly the data they have requested and no more. This means that, within a single request of GraphQL, you can traverse from the entry point to the related data (whereas in RESTful API you have to call multiple endpoints to fetch similar results).

The following example will help you to understand this better. Let us consider an object person which has the attributes name, age, email, and contactNumber. Suppose the front-end only needs the name and age of the person. If we design a REST API, the endpoint will look like api/persons, which will end up fetching all the fields for the person object. The issue arises here because there is no easy way to communicate that I am interested in some fields and not others (which causes REST API to over fetch the data).

#graphql #nodejs #apollo-server #graphql-apollo-server

React + GraphQL Tutorial — The Server

Setting up
We’re going to use Express in this tutorial, because that’s what most people are currently using, but you should be able to follow along even if you’re using hapi or Koa, because the GraphQL part of this tutorial is largely identical.

For starters, let’s clone the tutorial GitHub repo, which has a few resources we’ll need later. If you’ve already done that in Part 1, you can skip this step.

#graphql #react #server #graphql server

Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

• revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
• microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
• Anaconda 4.2 – Anaconda is an opensource Python package

#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services

How to Build a Simple GraphQL Server

With the zeitgeist of programming ever-changing, it can be difficult to determine what is a fad and what is going to last. One of the tools that has survived is GraphQL, an alternative to the standard RESTful route’s approach for queries and manipulating data. I decided to tackle the fundamentals of the open source project last week and I can see why it is so popular.

• GraphQL is an open-source data query and manipulation language for APIs, and a runtime for fulfilling queries with existing data.
• GraphQL was developed internally by Facebook in 2012 before being publicly released in 2015.
• GraphQL supports reading, writing (mutating), and subscribing to changes to data (realtime updates — most commonly implemented using WebHooks).

GraphQL provides an approach to developing web APIs and has been contrasted with REST architectural style. It allows clients to define the structure of the data required, and the same structure of the data is returned from the server, therefore preventing excessively large amounts of data from being returned.

#graphql #graphql server