Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
IPython Interactive Computing and Visualization Cookbook

You're reading from   IPython Interactive Computing and Visualization Cookbook Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes

Arrow left icon
Product type Paperback
Published in Sep 2014
Publisher
ISBN-13 9781783284818
Length 512 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Cyrille Rossant Cyrille Rossant
Author Profile Icon Cyrille Rossant
Cyrille Rossant
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. A Tour of Interactive Computing with IPython FREE CHAPTER 2. Best Practices in Interactive Computing 3. Mastering the Notebook 4. Profiling and Optimization 5. High-performance Computing 6. Advanced Visualization 7. Statistical Data Analysis 8. Machine Learning 9. Numerical Optimization 10. Signal Processing 11. Image and Audio Processing 12. Deterministic Dynamical Systems 13. Stochastic Dynamical Systems 14. Graphs, Geometry, and Geographic Information Systems 15. Symbolic and Numerical Mathematics Index

A typical workflow with Git branching

A distributed version control system such as Git is designed for complex and nonlinear workflows typical in interactive computing and exploratory research. A central concept is branching, which we will discuss in this recipe.

Getting ready

You need to work in a local Git repository for this recipe (see the previous recipe, Learning the basics of the distributed version control system Git).

How to do it…

  1. We create a new branch named newidea:
    $ git branch newidea
    
  2. We switch to this branch:
    $ git checkout newidea
    
  3. We make changes to the code, for instance, by creating a new file:
    $ touch newfile.py
    
  4. We add this file and commit our changes:
    $ git add newfile.py
    $ git commit -m "Testing new idea."
    
  5. If we are happy with the changes, we merge the branch to the master branch (the default):
    $ git checkout master
    $ git merge newidea
    

    Otherwise, we delete the branch:

    $ git checkout master
    $ git branch -d newidea
    

Other commands of interest include:

  • git status...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime