Learn Python, Scikit-learn and Tmux

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

Learn to manage your terminal sessions and work more effectively from the command line using tmux. If you use the command line at all, tmux can make your life easier.

tmux bills itself as a terminal multiplexer. It allows you to wrangle multiple terminal sessions from one window. Instead of keeping track of many terminal windows yourself, you can use tmux to create, organize, and navigate between them. Even more importantly, tmux lets you detach from and re-attach sessions, so that you can leave your terminal sessions running in the background and resume them later. This is especially useful if you're working on a remote server: you can set up a persistent session that will continue running when you close your laptop. You can even share a tmux session to facilitate pair programming.

It lets you switch easily between several programs in one terminal, detach them (they keep running in the background) and reattach them to a different terminal.

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Wrangle your terminal with tmux

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

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

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

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.

Read Input in Python from the Console

Exceptions cause your application to crash. Handling them allows you to recover gracefully and keep your application running. Learn how to handle exceptions, find what exceptions you should be handling, and exit gracefully in this lesson. You will also learn how you should *not* handle exceptions and when it is better to let your application crash rather than swallowing an exception. 

Handle Exceptions to prevent crashes in Python

In this lesson, we'll learn how to detach from a running tmux session and leave it running in the background. Then, we can re-attach to it later.

We'll cover:
- How to exit a session by killing all active panes
- Detaching explicitly with C-b d
- Detaching a specific session with C-b D
- Viewing all running tmux sessions using tmux ls
- Reattaching with tmux attach -t

Reuse terminal workspaces using tmux sessions

In tmux, a window is a collection of panes. Creating multiple windows is a great way to organize your workspace. In this lesson, we'll cover:

- How to create a new window within a tmux session, using `C-b c`
- Navigating between windows with `C-b n` and `C-b p`

Create collections of panes using tmux windows

In this lesson, we'll look at how to manage your history between tmux sessions, and ensure that your setup preserves your bash history between multiple windows. By adding a special PROMPT_COMMAND to your .bashrc, you can update and reload your history after every command, regardless of if you're in a different session, window, or tab.


Handle history in tmux sessions

This lesson will introduce arithmetic operations in Python. In addition to basic addition, subtraction, multiplication, and division, you will learn about the differences in division between Python 2 and Python 3.

Perform Math Operations in Python

The tuple is a new data structure to Python, and is an immutable sequence of values separated by commas. Learn how to create them in this lesson.

Create Immutable Values in Python with Tuples

In this lesson you will learn how to install Python. If you use OS X or Linux, you already have Python 2 installed. I will show you how to install Python 3 on OS X, Linux, and Windows.

Install Python

Virtual Environments ensure that dependencies from one Python application don’t overwrite the dependencies of another application. In this lesson, you will learn how to create a virtual environment, switch between virtual environments, and manage dependencies within a virtual environment.

Manage Dependencies with Python Virtual Environments

List comprehensions provide a concise way to create new lists, where each item is the result of an operation applied to each member of an existing list, dictionary or other iterable. Learn how to create your own list comprehensions in this lesson.

Understand List Comprehensions in Python

You may already be familiar with arrays. In Python, they are known as lists. Learn how to create, append, remove, sort, and reverse lists in this lesson.

Use Lists in Python

Single quotes and double quotes can both be used to declare strings in Python. You can even use triple-double quotes! Learn when to use each in this lesson as well as variable substitution in strings.