Learn Http, P5 and Python

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

In this course, we will learn the fundamentals of the Hypertext Transport Protocol (HTTP) by exploring several popular HTTP APIs such as the GitHub API. Starting with the basic structure of an HTTP request and response, we will then delve into the specifics of each element of the request/response messages. Using concrete examples from these APIs, we will cover request methods, response status codes, messages headers, and message bodies. Along the way, you'll learn about specific message headers, such as `Cache-Control`, and `Cookie`  and how they control the behavior of clients/browsers and HTTP API services.

This course uses HTTPie, if you would like to follow along with the instructor you can download the client [here](https://httpie.org/).

The Hypertext Transfer Protocol (HTTP) is an application-level protocol for distributed, collaborative, hypermedia information systems. It is a generic, stateless, protocol which can be used for many tasks beyond its use for hypertext, such as name servers and distributed object management systems, through extension of its request methods, error codes and headers.

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Understand the Basics of HTTP

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

As developers, we're often working closely with APIs to make requests in the browser or on the backend with a server, but we might not always know exactly how those requests work or how they should look.

Postman is a tool that lets us create, manage, and test API endpoints all within a UI so we can wrangle our APIs and understand how they work.

Create, Manage, and Test API Requests with Postman

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

The HTTP GET & HEAD methods are used to retrieve information about a resource. The GET method will retrieve the metadata about the resource, encoded in the HTTP headers, as well as a representation of the resource itself in the message body (e.g. a JSON document with fields that describe a user). The HEAD method behaves like GET, but only retrieves the status and headers; this can be useful when you need some metadata about a resource (e.g. the Last-Modification time), but don't want to waste time or bandwidth fetch the resource itself in the message body. Finally, we discuss the idempotent and safe natures of these HTTP methods.

Use HTTP GET & HEAD Methods

The 2xx family of status codes are used in HTTP responses to indicate success. Beyond the generic `200 OK` status code, there are a set of more specific success status codes that provide additional context or details about the specific nature of the successful request/response. We will explore the available success status codes, and what additional information they convey.

Understand 2xx HTTP Status Code Responses

The body of an HTTP request or response can serve many functions, from including the input data to a POST request, to returning varied representations of a resource in response to a GET request. This lesson details how message bodies are handled in requests and responses, and the associated HTTP headers that provide metadata about the included message body.

Examine HTTP Message Bodies

The HTTP DELETE method is used to request that the server perform a delete operation on the specified resource with resource specific semantics. Behind the scenes, the delete operation may result in a removal of a file from the filesystem, or an update to the database to reflect the change. Because multiple requests to delete the same resource has the same effect as a single one, the DELETE method is considered ‘idempotent’, but not considered safe.

Use HTTP DELETE Method

The HTTP OPTIONS method is used to request information about the communication options available for the target resource. The response may include an Allow header indicating allowed HTTP methods on the resource, or various Cross Origin Resource Sharing headers. The HTTP OPTIONS method is both safe and idempotent, as it is intended only for use in querying information about ways to interact with a resource.

Use HTTP OPTIONS Method

The HTTP PATCH method is used to make modifications to existing resources. In particular, it is designed for "partial updates", as opposed to replacing an entire resource using the HTTP PUT method. Although certain HTTP PATCH requests may behave idempotently, this is not true of all possible PATCH requests, so this request method is not idempotent, nor considered safe. The request body of a PATCH request may be simple `application/json`, or a more specialized type, such as `application/json-patch+json`.

Use HTTP PATCH Method

The HTTP POST method is used to request the resource process the included request message body representation according to resource specific semantics. HTTP POST is loosely defined by definition, and can be used in many different scenarios, such as creating a new resource based on the request representation, appending data to an existing representation, or generic processing of an HTML form submission. Due to the nature of POST performing arbitrary resource specific processing, it is considered neither ‘safe’, nor ‘idempotent’.

Use HTTP POST Method

The 4xx family of status codes are used in HTTP responses to inform the client/browser of an error relating to the user’s request. The status codes in this family are intended to indicate a problem that should be possible to fix or remedy by the user or developer. For example, a 401 Unauthorized status code lets the user/developer know they need to provide authorization information with their request; should they re-submit the request with the additional authorization header, the request may succeed. We will explore the available client error status codes, and what additional information they convey.

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