Aravind Putrevu aravindputrevu
Below is a list of Indian women who have contributed it to the data space in India and globally - be it Data Strategy, Data Engineering, Machine Learning, Artificial Intelligence, Data and Public Policy, or any other related field. Please feel free to add in the missing names. I have arranged the names alphabetically for easy searchability. Please do add the name, twitter handle (if available), linkedin profile (if available), link(s) to their public blogs/videos (if available) and the area of specialization. Also, don't forget to add in your name below to the link of contributors. This isn't an individual's effort - this will work only if more and more people contribute. Thanks!
*Note: I have started with just the Indian women here because I wanted to bring attention to some of the inspirational women at the national level. However, if you want to replicate it for any other country or even at a global level, please feel free to either add in into the same list (adding an additional column of course) or cr
Currently, there is an explosion of tools that aim to manage secrets for automated, cloud native infrastructure management. Daniel Somerfield did some work classifying the various approaches, but (as far as I know) no one has made a recent effort to summarize the various tools.
This is an attempt to give a quick overview of what can be found out there. The list is alphabetical. There will be tools that are missing, and some of the facts might be wrong--I welcome your corrections. For the purpose, I can be reached via @maxvt on Twitter, or just leave me a comment here.
There is a companion feature matrix of various tools. Comments are welcome in the same manner.
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.
In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.
Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j