Learn Figma, Natural and Prisma

Prisma is an open-source ORM. It consists of the following parts: 

- Prisma Client: Auto-generated and type-safe query builder
- Prisma Migrate: Migration system
- Prisma Studio: GUI to view and edit data in your database

Prisma Client can be used in any Node.js or TypeScript backend application (including serverless applications and microservices). This can be a REST API, a GraphQL API, a gRPC API, or anything else that needs a database.

In this course, you will learn how to initialize Prisma in a TypeScript Node project, use Prisma Client to create and find records, use Express to create data dynamically, and more! 



Prisma is a next-generation open-source ORM For Node.js and TypeScript that helps developers build faster and make fewer errors.

It supports the following databases: PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, and more recently, MongoDB (Preview).

Prisma provides a complete toolkit:

- Prisma Client: Auto-generated and type-safe database client
- Prisma Migrate: Declarative data modeling and customizable migrations
- Prisma Studio: Modern UI to view and edit data


prisma

Build a Backend with Prisma in a TypeScript Node Project

OpenGraph images are the images you see when you paste a link into a social platform and it "unfurls" into an image, title, and description. This happens on Twitter, Discord, Slack, and many other platforms. This collection goes over everything from designing OpenGraph images in Figma, to implementing them in CodeSandbox, to returning headless browser screenshots from Netlify Functions, and finally using Cloudinary as a write-through cache. 

You will come away from this collection with the ability to ship an API that you can use on any of your sites, and also on-demand, that can generate images for not only OpenGraph unfurls, but also for Instagram, GitHub, and more. Using headless browsers with playwright to generate our images means we get full access to all the responsive power of CSS and all the logical power of JS to handle layout, importing assets like pngs, choosing different fonts, and more.

The image below is generated via the project you'll build and deploy in this course

![An example opengraph image](https://relaxed-payne-d1bfbe.netlify.com/opengraph?title=Building%20an%20OpenGraph%20image%20generation%20API%20with%20Cloudinary%20Netlify%20Functions%20and%20React&tags=figma,netlify%20functions,playwright&author=chrisbiscardi)

React is one of the web’s most popular frameworks for building JavaScript applications. 

If you know what you’re doing, React can drastically simplify how you build, use, and maintain code.

Whether you’re a React newbie or you’re ready for advanced techniques, you can level-up with egghead. Explore our in-depth courses, lessons, and community resources to build more powerful applications and crack open your career.

react

Building an OpenGraph image generation API with Cloudinary, Netlify Functions, and React

(This collection is still WIP)

Databases are essential for any full-stack applications, but working with them is traditionally very difficult. Prisma is here to change that. It's a powerful database toolkit that helps us think in data itself - not SQL, not classes, just the data we care about in our apps.

In this series, we will learn how to leverage the power of Prisma to automatically generate a type-safe, autocomplete-ready, and efficient query builder, all based on a simple and easy-to-read schema. We will integrate all this good stuff into a Next.js project to complete a simple social network app.

In the end, you will be able to understand how Prisma works, and confidently start using Prisma in your own project.

Build a full-stack app with Prisma

Figma is a collaborative prototyping tool that allows you to responsively design your applications, with resolution presets for all of the most popular devices. In this course, we will explore the fundamentals of Figma’s toolset that you can use for various design functions. 

We will start from scratch, then walk through scenarios you may encounter when designing a website or application. We will cover building reusable designs — known as “components” in Figma — all the way up to prototyping your designs to show screen transitions and animations between state. 

By the end of the course, you will understand the basics of Figma so you can use it to your advantage when building your next app or website.

Design, prototype, and gather feedback all in one place with Figma.

figma

The Beginner's Guide to Figma

In this course we’ll work through Natural’s API for natural language processing in JavaScript. We’ll look at how to process text: learning how to break up language strings, find the word roots, work with inflectors, find sequences of words, and tag parts of speech. We’ll learn how to find important stats about a body of text: how to compare strings, how to classify text with machine learning, how to use the tf-idf tool to find relevant words. We’ll look at some of the extra tools Natural gives us, including the dictionary/thesaurus of WordNet, a phonetics comparer that lets us see if two words sound the same, and a spellcheck feature. We’ll also look at tries and digraphs, two data structures that help us better analyze bodies of text.

Natural is a general natural language facility for nodejs. Tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity, and some inflections are currently supported.

natural

Natural Language Processing in JavaScript with Natural

We will learn about “stemming,” the process of finding the root of words, often in order to group words by a common base root. We will look at the Porter and Lancaster Stemmers, briefly touch on Natural’s support for Russian and Spanish stemmers, and introduce the function to stem and tokenize at the same time.

Find the roots of words using stemming in Natural

Inflectors are the modifiers of a word that indicate grammatical categories. While Natural’s coverage of inflectors is not comprehensive, we will show how Natural can pluralize/singularize nouns and count numbers. 

Pluralizing nouns and counting numbers with inflectors in Natural

N-grams are sequences of words, where the 'n' stands for the number of words in the sequence. In this lesson, we will see how to find bigrams (2-grams), trigrams (3-grams), and any other length n-gram in a body of text. 

Find sequences of words (n-grams) using Natural

We will learn how to compare how similar two strings are to each other, examining three algorithms: Jaro-Winkler, Levenshtein, and Dice’s Coefficient.  

You should note that none of these algorithms are inherently better than the others. Instead, it's important to choose the one that best fits your text data. 

Compare similarity of strings through string distance in Natural

In this lesson, we will learn how to train a Naive Bayes classifier or a Logistic Regression classifier - basic machine learning algorithms - in order to classify text into categories.

Classify text into categories with machine learning in Natural

In this lesson, we will learn how to train a Naive Bayes classifier and a Logistic Regression classifier - basic machine learning algorithms - on JSON text data, and classify it into categories.

While this dataset is still considered a small dataset -- only a couple hundred points of data -- we'll start to get better results.

The general rule is that Logistic Regression will work better than Naive Bayes, but only if there is enough data. Since this is still a pretty small dataset, Naive Bayes works better here. Generally, Logistic Regression takes longer to train as well. 

This uses data from Ana Cachopo: http://ana.cachopo.org/datasets-for-single-label-text-categorization

Classify JSON text data with machine learning in Natural

Tries are a data structure that provide an efficient way to search for the existence of a word or phrase in a body of text, or to search by prefix. 

Search more efficiently with tries using Natural

In this lesson, we’ll see how to use Natural’s probabilistic spell-checker, which uses the trie data structure. 

Include spell-check in text projects using Natural

Tf-idf, or term frequency-inverse document frequency, is a statistic that indicates how important a word is to the entire document. This lesson will explain term frequency and inverse document frequency, and show how we can use tf-idf to identify the most relevant words in a body of text. 

Identify the most important words in a document using tf-idf in Natural

In this lesson, we’ll take a look at Natural’s phonetics feature. We’ll learn how to check whether two words sound alike, looking at both the SoundEx and Metaphone algorithms.

Check if words sound alike using Natural

This lesson introduces WordNet, which is an important resource in natural language processing. With WordNet, we can look up a word’s definition, or find its synonyms.

Find a word’s definition using WordNet in Natural

An important component of many natural language processing projects is being able to identify the grammar of a piece of text. We’ll learn how to do that with Natural’s parts of speech (POS) tagger.  

There are many tags, and it's worth looking them up online (search "POS tag symbols") to become familiar with them all. 

The setup of the tagger may seem a little strange, but it allows you to replace the lexicon or the rules with a different lexicon or rule set of your choice. 

Tag parts of speech using Natural

By this point we've seen that classification can take a long time, and with more data, it would take even longer. Luckily, Natural provides support to save your classifiers. In this lesson, we will learn how to save a classifier and load it into a new project in order to classify new data.

Using machine learning classifiers in a new project

A part of Natural Language Processing (NLP) is processing text by “tokenizing” language strings. This means we can break up a string of text into parts by word, sentence, etc. In this lesson, we will use the `natural` library to tokenize a string. First, we will break the string into words using `WordTokenizer`, `WordPunctTokenizer`, and `TreebankWordTokenizer`. Then we will break the string into sentences using `RegexpTokenizer`.

Break up language strings into parts using Natural

Tools like Firebase give you a powerful API that connects directly with your client apps. Though powerful, Firebase can be difficult when writing complex data to the database or querying for a complex data structure.

GraphQL, on the other hand, has a powerful API too and an easy Graph spec to query and write to your data source. Unlike Firebase, it doesn't come with a data persistence layer.

Prisma is an open source database layer for GraphQL projects. It serves as both an ORM and also hides the complexity of writing complex resolvers.

This lesson shows how, without a server, you can Firebase-like GraphQL database that your client can talk directly with.


Build a Graphql Serverless Database for Your Client Apps Using Prisma

In this video, you will learn how to create frames (i.e. layouts) in Figma using the "frame" tool. This will allow you to get up and running quickly using pre-defined sizes.

Create a Mobile, Tablet and Desktop Frame in Figma

SolidStart is a JavaScript Framework designed to build full-stack SolidJS apps and enhance your developer experience.

In this course, you will learn how to:
- Set up a SolidStart project
- Toggle different rendering modes
- Leverage file system routing to turn your files into routes
- Create API routes to expose some public endpoints
- Fetch, prefetch, update and cache your data
- Turn your functions and actions into server-executing ones
- Get rid of unnecessary network waterfalls by using Single Flight Mutations.

After this course, you should be able to leverage SolidStart to build your Solid applications.

JavaScript® (often shortened to JS) is a lightweight, interpreted, object-oriented language with first-class functions, most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic, and supports object-oriented, imperative, and functional programming styles.

javascript

SolidStart is a JavaScript Framework designed to build full-stack SolidJS apps and enhance your developer experience.

In this course, you will learn how to:
- Set up a SolidStart project
- Toggle different rendering modes
- Leverage file system routing to turn your files into routes
- Create API routes to expose some public endpoints
- Fetch, prefetch, update and cache your data
- Turn your functions and actions into server-executing ones
- Get rid of unnecessary network waterfalls by using Single Flight Mutations.

Getting Started with SolidStart

Bootstrap is an incredibly popular CSS framework designed to make your website look great on mobile and desktop.

By the end of this course, you'll be familiar with many of the popular classes and components that Bootstrap uses to apply in your own projects.

For each feature you build in the course, you'll get a sense for what the relevant classes do for those components and links to documentation for further exploration.

For the course demo application, we will analyze the landing pages of Microsoft and Apple to identify common components that are implemented. When these are identified, you'll implement these components yourself with Bootstrap.

You'll build several common UI elements such as a nav bar, a carousel of images, Cards, and Forms.

Through building these components, you'll understand what is behind the different classes Bootstrap gives you and get familiar with how it exposes flex and grid layout for you.

Cascading Style Sheets bring order and beauty to our applications.

Create Professional Responsive Websites using Bootstrap

This course is perfect for those looking for a lightweight alternative to NgRx Store that scales effortlessly.

Angular is a development platform for creating applications using modern web standards. Angular includes a wealth of essential features such as mobile gestures, animations, filtering, routing, data binding, security, internationalization, and beautiful UI components. It's extremely modular, lightweight, and easy to learn.

Scalable Signals Angular Architecture with NGRX Signal Store

Learn how the latest JavaScript features can help you improve your codebase. 

Learn the Latest ECMAScript Features (ES2024, ES2023, ...)

course repository: https://github.com/ducin/egghead-typescript/tree/brand-types-value-objects

TypeScript is a typed superset of JavaScript that compiles to plain JavaScript.

typescript

Domain Data Modelling using TypeScript Aliases, Brand Types and Value Objects

**Note:** This course is being actively developed and more lessons will be added in the future.

Cursor is an AI-enhnaced code editor that allows you to call upon the robots to refactor or stub out functions for you with natural language. 

In this course, John will show you workflows that will save you time and effort by utilizing the features such as its mult-line editing and context.

In particular, by giving Cursor's AI the proper context, whether that's lines of code or multiple files, you'll get better output when trying to extend or refactor logic that's present.


Bite-size video tutorials for badass web developers.

egghead

Productive Developer Workflows with AI Enhanced Cursor IDE

Learn the fundamentals of React Query by going through the basic API and then implementing search in an employee tracking app.

Simplify State Management with React Query

Vue (pronounced /vjuː/, like view) is a progressive framework for building user interfaces. Unlike other monolithic frameworks, Vue is designed from the ground up to be incrementally adoptable. The core library is focused on the view layer only, and is very easy to pick up and integrate with other libraries or existing projects. On the other hand, Vue is also perfectly capable of powering sophisticated Single-Page Applications when used in combination with modern tooling and supporting libraries.

Create Interactive 3D Experiences with TresJS

You've seen that Angular signals are here, and know that signal-components are coming up.

This marks a paradigm-shift towards reactive programming in Angular.

Are you ready?

What if you could start learning signals and feel pleased with your progress? And reach a point where you feel confident when using signals in production?

And feel ready when signal-based components come?

Changes are coming, and you can get ahead of them.

By taking this cousre you will learn how to:

- Create computed signals
- Share your signals in services
- Use and cleanup signal effects
- Turn signals into observables and vice versa
- ... and more

In 52 minutes over the course of 20 bite-sized lessons, you'll learn everything you need to know to take advantage of signals now and be prepared for signal-based components!

angular

Modernize State Management in Angular with Signals

Get started with Supabase on your machine

Supabase is an open source Firebase alternative. A service to:

- Listen to database changes.
- Query your tables, including filtering, pagination, and deeply nested relationships (like GraphQL).
- Create, update, and delete rows.
- Manage your users and their permissions.
- Interact with your database using a simple UI.

Supabase is not a 1-to-1 mapping of Firebase. Most notably, Supabase uses Postgres rather than a NoSQL store. 

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