Navigating a GitHub Repository - Part 1
This is video #3 in the Data School series, "Introduction to Git and GitHub." Relevant links and the full transcript are below. Playlist: http://www.youtube.com/playlist?list=PL5-da3qGB5IBLMp7LtN8Nc3Efd4hJq0kD
== LET'S CONNECT! ==
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GitHub: https://github.com/justmarkham
== LINKS RELATED TO THIS VIDEO ==
GitHub repository for ggplot2: https://github.com/hadley/ggplot2
Markdown basics: http://daringfireball.net/projects/markdown/basics
== TRANSCRIPT ==
In this video, we're going to navigate a GitHub repository, so that you can understand the GitHub interface.
Right now, we're looking at the repository for the "ggplot2" package, which is an R package that you'll be using later in the Data Science Specialization. It was created by Hadley Wickham, who is probably the most well-known creator of R packages.
Anyway, here are the files being tracked. You can see that it uses a folder structure just like Mac and Windows.
You can click on any folder, and see the folder contents. You can also click on any file, and see the contents of that file. If it's a code file, GitHub will render it with bold and color and italics so that it's easier to read.
You can click "Raw" to see the plain text file as it was uploaded, or you can click "History" to see the history of changes to that file.
Let's go back to the main screen for the repository. There is often a special file in the root directory of the repo called "README.md." It's special because that file is automatically rendered on the main page of the repo, which you can see right here. The convention on GitHub is to always include information about the repo in this file.
If you click on it, you'll see the exact same rendered file. Again, you can click "Raw" to see the plain text file. The ".md" extension means that it's a Markdown file, which you will learn about later in the Specialization.
You can co
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Setting up Git and GitHub
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Navigating a GitHub Repository - Part 1
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Forking a GitHub Repository
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Creating a New GitHub Repository
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Copying a GitHub Repository to Your Local Computer
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Committing Changes in Git and Pushing to a GitHub Repository
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Syncing Your GitHub Fork
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Allstate Purchase Prediction Challenge on Kaggle
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Troubleshooting: Updates Rejected When Pushing to GitHub
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Hands-on dplyr tutorial for faster data manipulation in R
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ROC Curves and Area Under the Curve (AUC) Explained
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Going deeper with dplyr: New features in 0.3 and 0.4 (tutorial)
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What is machine learning, and how does it work?
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Setting up Python for machine learning: scikit-learn and Jupyter Notebook
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Getting started in scikit-learn with the famous iris dataset
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Training a machine learning model with scikit-learn
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Comparing machine learning models in scikit-learn
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Data science in Python: pandas, seaborn, scikit-learn
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Selecting the best model in scikit-learn using cross-validation
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How to find the best model parameters in scikit-learn
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How to evaluate a classifier in scikit-learn
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What is pandas? (Introduction to the Q&A series)
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How do I remove columns from a pandas DataFrame?
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How do I sort a pandas DataFrame or a Series?
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How do I filter rows of a pandas DataFrame by column value?
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How do I apply multiple filter criteria to a pandas DataFrame?
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Your pandas questions answered!
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How do I use the "axis" parameter in pandas?
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How do I change the data type of a pandas Series?
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When should I use a "groupby" in pandas?
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How do I handle missing values in pandas?
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What do I need to know about the pandas index? (Part 1)
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What do I need to know about the pandas index? (Part 2)
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How do I select multiple rows and columns from a pandas DataFrame?
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Machine Learning with Text in scikit-learn (PyCon 2016)
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When should I use the "inplace" parameter in pandas?
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How do I make my pandas DataFrame smaller and faster?
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How do I use pandas with scikit-learn to create Kaggle submissions?
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More of your pandas questions answered!
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How do I create dummy variables in pandas?
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How do I work with dates and times in pandas?
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How do I find and remove duplicate rows in pandas?
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How do I avoid a SettingWithCopyWarning in pandas?
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How do I change display options in pandas?
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How do I create a pandas DataFrame from another object?
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How do I apply a function to a pandas Series or DataFrame?
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Getting started with machine learning in Python (webcast)
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Q&A about Machine Learning with Text (online course)
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Your pandas questions answered! (webcast)
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Machine Learning with Text in scikit-learn (PyData DC 2016)
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Write Pythonic Code for Better Data Science (webcast)
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Web scraping in Python (Part 1): Getting started
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Web scraping in Python (Part 2): Parsing HTML with Beautiful Soup
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Web scraping in Python (Part 3): Building a dataset
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