Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Big Data Analysis with Python

You're reading from  Big Data Analysis with Python

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789955286
Pages 276 pages
Edition 1st Edition
Languages
Authors (3):
Ivan Marin Ivan Marin
Profile icon Ivan Marin
Ankit Shukla Ankit Shukla
Profile icon Ankit Shukla
Sarang VK Sarang VK
Profile icon Sarang VK
View More author details

Table of Contents (11) Chapters

Big Data Analysis with Python
Preface
1. The Python Data Science Stack 2. Statistical Visualizations 3. Working with Big Data Frameworks 4. Diving Deeper with Spark 5. Handling Missing Values and Correlation Analysis 6. Exploratory Data Analysis 7. Reproducibility in Big Data Analysis 8. Creating a Full Analysis Report Appendix

Code Practices and Standards


Writing code with a set of practices and standards is important for code reproducibility, as is explaining the workflow of the process descriptively in a step-wise manner.

This is universally applicable across any coding tool that you may use, not just with Jupyter. Some coding practices and standards should be followed strictly and a few of these will be discussed in the next section.

Environment Documentation

For installation purposes, you should maintain a snippet of code to install the necessary packages and libraries. The following practices help with code reproducibility:

  • Include the versions used for libraries/packages.

  • Download the original version of packages/libraries used and call the packages internally for installation in a new setup.

  • Effective implementation by running it in a script that automatically installs dependencies.

Writing Readable Code with Comments

Code commenting is an important aspect. Apart from the markdown option available on Jupyter,...

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 $15.99/month. Cancel anytime}