The following lessons explain different programming concepts and have been published by our members. Search for a particular lesson using the filters
Use Javascript, React.js, Python and Flask to build an entire full-stack application
When building a Data Science and Machine Learning project there are things to be considered, specially if you are looking for a job. Here you find tips to make a project make a cv stand out from the crowd, and a list of sites where you can find useful datasets to kickstart your project.
Discover key considerations and avoid common mistakes when choosing your final project. Learn from these experienced tips to ensure success in your project journey.
Take a look on how to build working endpoints that manage your database information
One of the challenges of working with databases is to organize the information in tables in an efficient way that guarantees the consistency of the data, for this the normal forms do not say that we must comply to have the database better ordered.
When you do a project for your Fullstack developer portfolio you want to show how far you can go. These APIs and libraries can help you make your project shine and get the attention of that recruiter who is looking for you.
Use Webpack to compile and build a project with the latest Javascript and HTML/CSS
Use Express, Javascript, Typescript to build REST API's
Create, Read, Update and Delete (CRUD) information on your database with Express
In addition to good functionality, we want our web application to be intuitive for the user. We don't want them to need help to navigate it and use its functionalities, that's why we must understand how to achieve this with a good design and user experience.