Apollo client allows us to easily manage our GraphQL queries and data from the clientside. It provides functionalities such as caching, loading state and data propagation to components and most importantly; is compatible with all major UI frameworks. In today’s post, we’ll look at how we can simply hook Apollo client in a React application and use it to query our GraphQL server.
Common table expression, also called
WITH queries, can be used to create auxiliary queries that can be used in larger queries. They can be used to breakdown complex queries into multiple simpler queries which are then used in a primary statement or they can also be used to write recursive queries. In today’s post, we will look at how to define CTE with examples in Postgres.
useReducer hook in React allows us to manage state in a redux manner. This is useful for handling complex state in a single object, as opposed to
useState which is better used with single variable state. With
useReducer, we can define a reducer, a set of actions to interact with the state and use a dispatcher to dispatch the actions from our component. In today’s post we will look at how we can use
useReducer with example.
Few months ago we looked at how we could use web3.py to directly compile Solidity contracts and deploy them on a local ganache-cli blockchain. Although that’s a possible way of deploying smart contracts, it wouldn’t be a recommended way to manage production grade contracts. For that, we would be delegating the steps to a development and testing framework for smart contracts. Such environment provides us an easy way to manage project of smart contracts, manage dependencies, and test our smart contracts. In today’s post, we will look at Brownie, a Python-based development and testing framework for EVM smart contracts
Following up our previous post on generic types, we created a
ServiceResponse<T> type which had a
statusCode: string field to differentiate between the responses. In Typescript, a common pattern to differentiate between success and error is to create a union. In today’s post, we will see how we can leverage typegraphql to translate Typescript unions into graphql schema unions.