Learn Dart, Particle and Python

Dart is an object-oriented language you can use for building web applications, server-side code, and even mobile apps. It’s expressive, powerful, and has a friendly learning curve. 

In this course, we will look at the syntax and semantics of the Dart programming language. We will also cover various aspects of the Dart ecosystem, including its tools and packages that help make you a productive developer. This knowledge is applicable when developing software for client, server, and especially mobile with the Flutter framework. 

This course is beginner-friendly, but is well-suited for experience programmers as well. 

Dart is an open-source, scalable programming language, with robust libraries and runtimes, for building web, server, and mobile apps.

dart

Get Started with Dart

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.

python

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

Flutter allows you to build beautiful native apps on iOS and Android from a single codebase.

flutter

In this lesson, we will cover Interfaces and Mixins. Interfaces act as a contract containing properties and methods that a class must define once it “implements” this interface. Mixins are Dart’s way of sharing properties and methods from multiple classes, since by design Dart adopts a single-inheritance model.

Define Interfaces and Share Class Members through Mixins in Dart

Futures represent a computation that does not complete immediately. Where a normal function returns a result, an asynchronous function returns a Future that will eventually contain the result. These are similar to Promises in JavaScript. In this lesson, we will learn how to program asynchronously by writing logic to capture values that are returned at a later time.

Capture and Return Asynchronous Values with Futures in Dart

In this lesson we’ll learn how to style Text & Container widgets & also get a general understanding of how styling works in Flutter applications

Style a Flutter Text and Container Widget

In this lesson we’ll learn how to create an Android emulator in Android Studio & run a Flutter project on an Android Emulator.

Run a Flutter App on Android

When creating a new Flutter application, you are given a simple templated Flutter project whose primary code lives in the main.dart file. In this lesson, we walk through this file & talk about what the boilerplate code is doing.

Walkthrough of the Default Flutter Application Boilerplate

In this lesson we’ll learn how to use themes in order to share colors and font styles throughout our application.

Using Themes in Flutter to Share Colors and Font Styles

In this lesson we’ll learn how to render both local & network images in a Flutter application using the Image class.


Load an Image in a Flutter App with the Image Class

Streams represent a sequence of asynchronous events. Each event is either a data event, also called an element of the stream, or an error event, which is a notification that something has failed. When a stream has emitted all its events, a single "done" event will notify the listener that the end has been reached. In this lesson, we will learn how we can capture and handle streaming data, working with various Stream classes.

Capture and Handle Data Sequences with Streams in Dart

In this lesson we’ll learn about the main layout widgets you'll need when building your user interface in Flutter. We’ll take a look at Container, Center, Row, Column, Stack, & GridView widgets learn how they work.

Building Layouts in Flutter with Layout Widgets

In this lesson we’ll learn how to import widgets we’ve created in other files & use them in our project. We'll also look at how to create dynamic properties in our widgets in order to make them reusable across our application.

Creating, Importing & Using Dynamic Widgets from Other Files in a Flutter Application

In this lesson we’ll learn how to create & update state in a Flutter application.

Creating & Updating State in a Flutter Application

In this lesson we’ll learn how Navigation in Flutter works by navigating to a new page when clicking on a button using the push & pop methods. We'll also look at how to pass properties to a new screen dynamically.

Getting Started with Navigation in Flutter

In this lesson, we'll learn how to specify a configuration object containing all of the routes for our application & navigate between them in a Flutter application.

Navigation with Named Routes in Flutter

ListView is the most commonly used scrolling widget in a Flutter application. In this video, we'll learn how to create dynamic lists using Flutter's ListView widget to render both lists of Strings & lists of Maps

Building Dynamic Lists in Flutter with ListViews

In this lesson we’ll learn how to fetch & then display data from an API over the network in a Flutter application using the http package.

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