Learn Leaflet, Python and Tachyons

If you've ever worked on a website for a business, there's a good chance you've included a map.

A Google Map embed is sufficient for showing a location, but doesn't leave you many customization options.

React Leaflet to the rescue!

In this course, Colby Fayock will guide you through a series of lessons and challenges that will build your map making skills as you build out a web app for a fictional restaurant.

You'll get practice with handling API keys and using React Hooks to implement a custom interactive map complete with metadata and additional overlays.

This course has built-in challenges that you are encouraged to pause and work through, but feel free to just watch.

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.

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Build Maps with React Leaflet

In this collection, you'll learn the basics of creating a new map in your React application with React Leaflet. We'll walk through adding the map itself as well as adding markers with popups, different shapes, and increasingly complex features to your map!

Mapping with React Leaflet

Neural networks, with Keras, bring powerful machine learning to Python applications. They can answer questions like “How much traffic will hit my website tonight?” or answer classification questions like “Will this customer buy our product?” or “Will the stock price go up or down tomorrow?”

In this course, we’ll build a fully connected neural network with Keras. This is the most basic type of neural network you can create, but it’s powerful in application and can jumpstart your exploration of other frameworks. 

We’ll start the course by creating the primary network. Then we’ll:

- build and configure the network, then evaluate and test the accuracy of each
- save the model and learn how to load it and use it to make predictions in the future
- expose the model as part of a tiny web application that can be used to make predictions

You don’t need to know a lot of Python for this course, but some basic Python knowledge will be helpful. Enjoy!

Python is a widely used dynamically typed programming language. It allows for many different programming paradigms including object-oriented, imperative, functional programming, and procedural styles.

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Fully Connected Neural Networks with Keras

In Introduction to Python, we will start at the beginning: Installing python 3 and using virtual environments. With a working environment, we will learn how to manipulate strings and numbers, and gain working knowledge of data structures and flow control. We will build on that by introducing modules and classes and learn how to interact with our python applications using command line switches, console input and files.

At the end of this course, you’ll have a great working knowledge of Python, fully capable of creating your own Python projects from scratch or jumping into an existing application with the capability to read, understand, and contribute to the application.

Check out these [**community notes for this course on Github**](https://github.com/eggheadio-projects/introduction-to-the-python-3-programming-language-notes).

Introduction to the Python 3 Programming Language

Artificial intelligence. Machine learning. Bots. Computers learning and communicating with us to do our bidding. But, where do you start? How do you get a machine to even begin to understand what you speak or type at it? There are several common machine learning algorithms that will help us begin to answer these questions.

In this course we’ll learn about common machine learning algorithms that don’t require implementing a neural network. We will not be going too much into the math behind them, but instead learn what each algorithm is good for, and how to train them. We'll also learn about a few metrics for evaluating models.

We’ll implement these in Python using `scikit-learn` using `scikit-learn`’s built-in data sets. The focus of this course is on implementation and a high-level understanding of these algorithms. 

We'll look at a few ways to evaluate our models, for both classification and regression models. We'll touch on mean squared error and coefficient of determination (for regression), and accuracy score, logarithmic loss, confusion matrices, and classification reports (for classification). 

Python 2.7 is used in the lesson videos but the code provided has Python 3 available. The only breaking change is the `print` statement API.

For additional information on installation, vocabulary, and common errors visit the `README.md` to the course code attached to each lesson.

Simple and efficient tools for data mining and data analysis

scikit-learn

Introductory Machine Learning Algorithms in Python with scikit-learn

AWS Amplify allows developers to create, configure, and deploy Serverless APIs and functions directly from their front-end environment.In this collection, you'll learn how to deploy various types of APIs and functions using the Amplify CLI. You'll also learn how to share code among various functions using Lambda layers and schedule functions to run at an interval to implement Serverless cron jobs.

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.

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Up and Running with AWS Amplify Functions

Learn how to create tuples in Python. The videos in this collection will also cover more advanced features of tuples

The Ins and Outs of Python Tuples

Sometimes you get strings instead of objects and you have to parse them out. Here's an example where the raw data I got from a Twitch chatbot message wasn't useful to me until I parsed it into a dictionary.

Turning a key/value string into a dictionary in Python

In this lesson, you will learn how to add a map to your React application using React Leaflet. We will walk through importing and configuring the Map and TileLayer components from React Leaflet to set up the new map.

Create a New Map using React Leaflet

In this lesson, you will learn how to add a Marker and Popup component to a Map when using React Leaflet. We'll walk you through importing the components and adding each one to the Map. Additionally, we'll resolve an issue with loading marker images that's inherent to creating a new React Leaflet map in Create React App, which we'll fix by manually importing the image from Leaflet and configuring those images to the marker.

Add a React Leaflet Marker with a Popup to a Map

In this lesson, you will learn how to add the Polygon and Circle shape components to a Map when using React Leaflet. We'll walk you through importing both components, adding each component to the Map, and setting a unique color for each shape.

Add Shapes to a Map in React Leaflet

In this lesson, you'll learn how to style shapes on your map to change the look and feel using React Leaflet's API. We'll use React component props like color and weight on our shapes to change the colors and styles.

Style React Leaflet Shapes using Component Props

In this lesson, you'll learn how to use CSS to style and animate shapes on your React Leaflet map. We'll use the className prop to add a custom class and add CSS to customize our shapes.

Style and Animate a React Leaflet Shape with Custom CSS

In this lesson, you will learn how to use React hooks to interface with the Leaflet Map API in React Leaflet. We'll connect a ref to our Map component using the useRef hook and then use the useEffect hook to access that ref, find our Map instance, and use it to fly to a new location.

[More details on the Leaflet Map API](https://leafletjs.com/reference-1.6.0.html#map)

Interface with the React Leaflet Map API with the useRef and useEffect React Hooks

In this lesson, you'll learn how to deploy a serverless function using the Python runtime, connect it to an API endpoint, and interact with it from a React application.

Creating a full stack serverless app with Python, React hooks, and AWS Amplify Functions

In this lesson, you learn how to use the React Leaflet ZoomControl component to add a custom zoom control to your map. We'll walk through removing the default control to avoid duplicates, using the ZoomControl position prop to change its location, and setting custom icons with the zoomInText and zoomOutText props.

Change the React Leaflet Map ZoomControl Location and Icons

In this lesson, you will learn how to add GeoJSON data to a map in React Leaflet. Using the National Parks in the United States, we'll import a GeoJSON document, create a new Leaflet GeoJSON instance, and add a marker with a popup for each park.

[Parks Locations Example](https://www.nps.gov/maps/tools/npmap.js/examples/geojson-layer/)
[Parks GeoJSON](https://www.nps.gov/lib/npmap.js/4.0.0/examples/data/national-parks.geojson)

Add GeoJSON Location Data to a Map Using Markers and Popups in React Leaflet

In this lesson, we'll add a new tile service as our basemap in React Leaflet. Using the NASA GIBS Blue Marble, we'll update the TileLayer component's url and attribution props to the new service. We'll also add the maxNativeZoom prop which allows us to configure the maximum zoom allowable for the service.

[More info about NASA GIBS imagery](https://earthdata.nasa.gov/eosdis/science-system-description/eosdis-components/gibs)
[GIBS Imagery API](https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+Available+Imagery+Products)

### NASA GIBS Blue Marble Tile Server
Endpoint: https://gibs-{s}.earthdata.nasa.gov/wmts/epsg3857/best/BlueMarble_ShadedRelief_Bathymetry/default//EPSG3857_500m/{z}/{y}/{x}.jpeg
Attribution: NASA Blue Marble, image service by OpenGeo

Change the Map Tile Service of a React Leaflet TileLayer Basemap to NASA GIBS Blue Marble

In this lesson, we'll add a LayersControl toggle to allow us to change between multiple TileLayer basemaps in React Leaflet. Using the NASA GIBS Blue Marble, we'll add an additional TileLayer component, wrap our two TileLayers in BaseLayer components, and wrap all of our layers in a LayersControl to toggle our basemaps.

[More info about NASA GIBS imagery](https://earthdata.nasa.gov/eosdis/science-system-description/eosdis-components/gibs)
[GIBS Imagery API](https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+Available+Imagery+Products)

### NASA GIBS Blue Marble Tile Server
Endpoint: https://gibs-{s}.earthdata.nasa.gov/wmts/epsg3857/best/BlueMarble_ShadedRelief_Bathymetry/default//EPSG3857_500m/{z}/{y}/{x}.jpeg
Attribution: &copy; NASA Blue Marble, image service by OpenGeo

Add a LayersControl Toggle to Switch Between TileLayer Basemaps in React Leaflet

In this lesson, we'll use the LayerGroup and FeatureGroup components to organize feature shapes on our map. Using these grouping features, we'll learn how the LayerGroup is used for organizational purposes like adding or removing multiple layers at once and how we can update the color of all of our grouped shapes with the color prop on our FeatureGroup.

Manage Map Data and Feature Shapes Together in a React Leaflet LayerGroup or FeatureGroup

In this lesson, we'll use an image to create a custom map marker icon for GeoJSON location data on our map. We'll walk through importing a custom image, creating a new Leaflet Icon and Marker instance, and use them to customize our National Parks markers.

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