I had some messy data to turn tidy. Column of data that needed to be separated into two columns. All the directions where obscure and not helpful. Try searching for a regular expression on the web.
One of the things I was puzzled over was \\.+ found out it meant gosub(). Much easier to search on. Delimiter was another puzzling thing until I realized that I could treat it the same as when I read csv files. This is the R code that worked.
Troy Miles wrote jQuery Essentials published by Packt Publishing 2016. This is a good enough book that twice I started a review of it. The code for this book is available to download on packtpub.com
The book has good coverage of the DOM, document object model. I like the section in chapter9 about never modify the DOM in a loop.
Chapter 8 about separation of concerns covers unit tests. Tells you how to use events to decouple code. Break the code into logical units. Separation of Concerns is a useful software architecture pattern.
Practical DevOps by Joakim Verona published by Packt Publishing 2016
I am taking a DevOps class thru Hack Oregon. I found this book useful and recommended it to my class. We are learning how to use Ansible to provision and this book was most helpful. Chapter Seven has code to do Ansible and Docker together. I am working on getting this to work.
I am taking a DevOps class. We are using vagrant. Saturday I lost my box. I typed vagrant up on the command line in a terminal window and nothing happened. I was thinking it would pop up like web servers do.
The command that I was missing was vagrant ssh. This command ssh (secure shell) into the virtual box.
vagrant provision command allows you to make changes and add things like games to your virtual box.
Authors: Alberto Boschetti and Luca Massaron published by Packt April 2015.
I am a Data Scientist who usually codes in R. It was a challenge to get comfortable enough in python code to review the book. Python come in a lot of flavors. I used Anaconda Launcher to run jupyter notebooks. The code is on the publishers page.
With broad strokes in six chapters it cover the fundamentals of Data Science using python. The pretty blue mosaic tile swirl on the cover catches your eye.
My favorite chapter is chapter five on Social Network Analysis. I like the table on graph types, node and edges. For example Twitter, a directed graph, people are nodes and followers are edges. Very useful table for writing code.