Learn Mac, Nativescript and Python

Bash makes automation easy. Just a few lines of code can take care of repetitive tasks for you and your teammates. 

In this course, we’ll dive deep into the automation potential of bash. You’ll learn to leverage common hooks that open up interesting automation possibilities, like git hooks, adding functions and aliases in your bash_profile, and running scheduled jobs in launchd.

For example, we’ll write a git hook that checks package.json for changes, and if there are changes, the hook runs npm install for you automatically. 

Along the way, you’ll also learn:

- more advanced bash commands like exec
- syntax such as redirecting stdout and stderr to the same destination
- timesaving tricks like brace expansions

Automation is all about saving you time — and at only 52 minutes, this course is well worth yours. Enjoy!

Bash is a Unix shell and command language written by Brian Fox for the GNU Project as a free software replacement for the Bourne shell. Bash is a command processor that typically runs in a text window, where the user types commands that cause actions. Bash can also read and execute commands from a file, called a shell script.

bash

Advanced Bash Automation for Web Developers

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

NativeScript has the ability to write Objective C, Swift and Java apis directly from JavaScript and TypeScript. 

In this course, we will learn how to code directly against these native api’s with NativeScript for Angular. Many libraries are written and published in these languages. With NativeScript you are no longer limited to just JavaScript based libs, but have direct access to these api’s right from JavaScript/TypeScript. Let’s look at how to include these native libraries internally to your project as well as build public plugins to share with the community. 

We will cover some considerations with Objective C and Swift based libraries as well as Java/Android libraries. You can think of CocoaPod, Gradle, and Android Arsenal like npm for native libs. iOS libraries can be found via CocoaPods, Android libraries can be found via Gradle or Android Arsenal. 

Let’s also cover how to write custom view components based on native libs since there are considerations for both iOS and Android. Lastly we will learn how to best handle cases where a plugin/library only supports 1 platform.

Open source framework for building truly native mobile apps with Angular, TypeScript or JavaScript.

nativescript

Use Objective C, Swift and Java api’s in NativeScript for Angular iOS and Android apps 

In this course, we will learn how to use the core layouts for NativeScript apps. We will start with the basic principles of NativeScript layouts using XML. This course will use the app templates provided from the NativeScript framework and installed using [the NativeScript CLI](https://egghead.io/lessons/angular-1-x-set-up-a-native-app-project-with-the-nativescript-cli).

We will cover the following layouts: `StackLayout`, `WrapLayout`, `GridLayout`, `DockLayout`, `AbsoluteLayout` and `FlexboxLayout`. Understanding the concepts and usage of UI layouts in NativeScript is key for a great app.

Build Basic NativeScript App Templates

In this course, we will learn how to work with NativeScript for Angular. We will start with the basic fundamentals of getting setup to run our app in the iOS Simulator in addition to an Android emulator using GenyMotion (https://www.genymotion.com/). Understand how to build your native mobile views with NativeScript XML and how to style them with CSS. Using the NativeScript for Angular starter template provides a nice setup out of the box including the core theme which provides handy CSS classes to work with speeding up view building. For page navigation, we will learn how to use the Angular Router to configure a flexible routing setup for our app. The ListView component is a powerful and highly performant native control for handling your lists powered by the UITableView on iOS and native ListView widget on Android. We’ll highlight how you can use RxJS Observables with our native views. Let's also take a look at integrating npm plugins to enrich the UI component library. Lastly, a round up of styling how-to's including integrating SASS for custom app theme creation as well as creating a live app theme switcher.

This Angular course assumes a solid understanding of the fundamentals.
We have Intermediary Angular courses including topics on [Dependency Injection](https://egghead.io/courses/angular-dependency-injection-di-explained), [Components, Directives](https://egghead.io/courses/building-angular-components), [Forms](https://egghead.io/courses/intro-to-angular-forms), [Router](https://egghead.io/courses/intro-to-angular-router), and [Animating Web Apps](https://egghead.io/courses/animate-angular-web-applications)

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.

angular

Create Native Mobile Apps with NativeScript for Angular

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.

javascript

Up and Running with AWS Amplify Functions

Joe Previte is an active egghead instructor and blogger. This is a collection of screencast versions of selected blog posts. You can find his blog here: [joeprevite.com](https://joeprevite.com/)

Joe's Blog Posts as Screencasts

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

The default core theme comes preinstalled and ready to go with every new project. Learn how to use some of the many helpful utility classes that are provided like common `btn` classes for Buttons, `h1`, `h2`, etc. Label classes and convenient `p-10` or `m-10` (shorthand margin/padding) classes ranging from 0 - 30. You can learn all about the rich options you get here: http://docs.nativescript.org/ui/theme

Style NativeScript views using the default core theme

We will learn how to add an Android library to our project and translate it’s Java api to NativeScript. For this lesson, we will look at [Filestack’s Android SDK](https://github.com/filestack/filepicker-android) built with Gradle. Specifically, we will cover how to immediately start working with the library even when a [NativeScript](/q/nativescript) plugin does not exist for it.

Use an Android library in NativeScript for Angular using Java apis

Misunderstanding scope can cause problems in your application. Watch this lesson to learn how Python scope works and the hidden implications it presents. Local scope, nonlocal scope, and global scope variables are demonstrated and explained.

Understand Scope in Python

Java has been around a long time and when it comes to Android, you will encounter some structures that may throw you for a loop on how to code against with NativeScript. Let’s examine a few common Java/Android api constructs you may encounter and how to translate them to NativeScript. Learn how to get references to local files in your app using the ‘file-system’ module as well as how to take advantage of NativeScript’s Observable class to send notification events from one class to another. Lastly, look at considerations with Angular’s NgZone when handling your native libraries data events to update component view bindings.

Translate common Java/Android APIs into NativeScript for Angular Android apps

Objective C is a very interesting programming language which offers a lot of power as well as interesting paradigms. Let’s look at some Objective C api’s and how they translate to NativeScript. In particular, let’s learn how to wire up iOS delegates using [Filestack's FSPickerDelegate](https://github.com/filestack/FSPicker#fspickerdelegate) as an example. We will also look at handling WeakRef’s and iterating an NSArray.

Use Objective C Delegates in NativeScript for Angular iOS apps

A module is a function extracted to a file. This allows you to import the function and use it in any other code you may write. You’ll learn how to create modules, import them, and make them stand-alone as you learn what `if __name__ == “__main__”` means in Python.

Reuse Code in Multiple Projects with Python Modules

Why should you have to write all the code? Why can’t you leverage code written by others? I’ve got great news: you can. You’ll learn how to search pip, Python’s package installer, to find and install packages to add new features and functionality to your application.

Manage packages with pip in Python

Object oriented classes work much like classes in other languages. Learn how to create them and use them, learn the difference between class variables and instance variables, creating class methods, and learn how to create classes that inherit from other classes.

Use Python Classes

One of the exciting benefits you have with NativeScript is the ability to write native code (Java and Objective C) directly in JavaScript/TypeScript allowing you to create a consistent high level api over top of both underlying iOS Objective C/Swift and Android Java apis. In this lesson, we will look at how to design a consistent api that taps into the appropriate native api’s on the target platforms using underlying native libraries.

Develop a consistent plugin api across your Android and iOS NativeScript app

To prepare your development environment to code against native apis such as Objective C, Swift and Java, let's learn how to [install tns-platform-declarations](https://www.npmjs.com/package/tns-platform-declarations) to provide rich intellisense support for all the native iOS and Android api’s. This lesson will cover how to modify your tsconfig.json and references.d.ts properly to ensure working with native api’s is smooth and as helpful as possible.

Prepare for native iOS and Android api intellisense with NativeScript

Getting input from the user via a console command can be done with `input` in Python. Learn how to implement it and validate user input in this lesson.

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