Learn Git, Natural and Twit

This workshop will start by breaking down the four states in which a file can exist, and we'll build up our mental model of git from there. Then, we'll look at how to move files between those states in different ways.

Once we've developed a new model for how git operates, we'll be able to purposefully get ourselves into some sticky situations, and then gracefully recover from them.

If you can handle git add/commit/push, but not much more - then this workshop is perfect for you.

You can finally get some proper git training, and will never have to worry about losing data or messing up the repo again!

Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

Fix Common Git Mistakes

Knowing your everyday toolset increases your productivity as a developer. And Git is one of those tools you use on a daily basis. Mastering Git is tough; it has hundreds of different commands, often even inconsistent at how you pass in flags and configuration options. On the other side, there are a lot of good Git courses out there already, explaining all of these commands in detail. 

With this course, I aim at a different goal. You will walk through a series of scenarios which you’ll most commonly encounter in your daily work life as a developer. I’m talking:
 - updating your feature branch with the latest changes from master
 - polishing your git history to make it ready for being peer-reviewed
 - moving a set of commits to another branch
 - undoing accidental commits

The goal is not to cover everything, but those tasks that will greatly improve your daily productivity with Git.


Productive Git for Developers

In this course we’ll work through Natural’s API for natural language processing in JavaScript. We’ll look at how to process text: learning how to break up language strings, find the word roots, work with inflectors, find sequences of words, and tag parts of speech. We’ll learn how to find important stats about a body of text: how to compare strings, how to classify text with machine learning, how to use the tf-idf tool to find relevant words. We’ll look at some of the extra tools Natural gives us, including the dictionary/thesaurus of WordNet, a phonetics comparer that lets us see if two words sound the same, and a spellcheck feature. We’ll also look at tries and digraphs, two data structures that help us better analyze bodies of text.

Natural is a general natural language facility for nodejs. Tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity, and some inflections are currently supported.

natural

Natural Language Processing in JavaScript with Natural

“Feel free to submit a PR!” - words often found in GitHub issues, but met with confusion and fear by many. Getting started with contributing open source is not always straightforward and can be tricky. With this series, you’ll be equipped with the the tools, knowledge, and understanding you need to be productive and contribute to the wonderful world of open source projects. Much of this series speaks about GitHub, but most of the concepts are generally applicable to contributing to any open source project, regardless of where it’s hosted.

So enjoy the course and start contributing to the projects you use and love today!

How to Contribute to an Open Source Project on GitHub

We will learn about “stemming,” the process of finding the root of words, often in order to group words by a common base root. We will look at the Porter and Lancaster Stemmers, briefly touch on Natural’s support for Russian and Spanish stemmers, and introduce the function to stem and tokenize at the same time.

Find the roots of words using stemming in Natural

Inflectors are the modifiers of a word that indicate grammatical categories. While Natural’s coverage of inflectors is not comprehensive, we will show how Natural can pluralize/singularize nouns and count numbers. 

Pluralizing nouns and counting numbers with inflectors in Natural

N-grams are sequences of words, where the 'n' stands for the number of words in the sequence. In this lesson, we will see how to find bigrams (2-grams), trigrams (3-grams), and any other length n-gram in a body of text. 

Find sequences of words (n-grams) using Natural

We will learn how to compare how similar two strings are to each other, examining three algorithms: Jaro-Winkler, Levenshtein, and Dice’s Coefficient.  

You should note that none of these algorithms are inherently better than the others. Instead, it's important to choose the one that best fits your text data. 

Compare similarity of strings through string distance in Natural

In this lesson, we will learn how to train a Naive Bayes classifier or a Logistic Regression classifier - basic machine learning algorithms - in order to classify text into categories.

Classify text into categories with machine learning in Natural

In this lesson, we will learn how to train a Naive Bayes classifier and a Logistic Regression classifier - basic machine learning algorithms - on JSON text data, and classify it into categories.

While this dataset is still considered a small dataset -- only a couple hundred points of data -- we'll start to get better results.

The general rule is that Logistic Regression will work better than Naive Bayes, but only if there is enough data. Since this is still a pretty small dataset, Naive Bayes works better here. Generally, Logistic Regression takes longer to train as well. 

This uses data from Ana Cachopo: http://ana.cachopo.org/datasets-for-single-label-text-categorization

Classify JSON text data with machine learning in Natural

Tries are a data structure that provide an efficient way to search for the existence of a word or phrase in a body of text, or to search by prefix. 

Search more efficiently with tries using Natural

In this lesson, we’ll see how to use Natural’s probabilistic spell-checker, which uses the trie data structure. 

Include spell-check in text projects using Natural

Tf-idf, or term frequency-inverse document frequency, is a statistic that indicates how important a word is to the entire document. This lesson will explain term frequency and inverse document frequency, and show how we can use tf-idf to identify the most relevant words in a body of text. 

Identify the most important words in a document using tf-idf in Natural

In this lesson we’ll talk about what GitHub is and how to sign up for a GitHub account so you can contribute to an open source project on GitHub.

Introduction to GitHub

GitHub adds a lot of great features on top of git repository hosting. We’ll take a look at some of these features including:

- How to create a repository and organization on GitHub
- How to explore and find projects on GitHub
- About GitHub gists
- Searching pull requests and issues on GitHub

Exploring GitHub

The basic unit of GitHub is a repository. This is where your code is stored and GitHub allows you to interact with others and with the code in great ways. In this lesson we talk about Watching, Starting, and Forking a repository. We also cover GitHub issues and pull requests and various other stats about a GitHub repository.

Exploring a Repository

Let’s install the Git Source Control Management software so we can interact with repositories hosted on GitHub.

How to install Git SCM

Anytime you push code to GitHub, you must be authenticated so GitHub knows you are authorized to make changes. In this lesson we’ll learn how to authenticate with GitHub using SSH so we don’t have to enter our username and password each time we push code to GitHub.

How to authenticate with GitHub using SSH

When you find a bug in an open source project, you know exactly the change you want to make. Other times you just want to find a way to contribute. Either way, you’ll need to know how the project maintainers want to run the project and work with them to come up with an implementation for the fix/feature. And if you don't even know what project to start contributing to, check out [this blogpost](https://medium.com/@kentcdodds/what-open-source-project-should-i-contribute-to-7d50ecfe1cb4) for inspiration on how to identify a good project to contribute to.

Identifying How to Contribute to an Open Source Project on GitHub

You cannot push code to repositories that you don’t own or have sufficient permission to. So instead, you make your own copy of the repository by “forking” it. You are then free to make any changes you wish to your repository.

How to Fork and Clone a GitHub Repository

Before you start making your changes, you often need to set up your environment for the changes. This is where the repositories' contributing instructions come in really handy. In this lesson we’ll get our environment set up and ready for changes.

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