Penesive Random Experiments

Favourite Links

This page contains the list of all the links which i find useful.

Linux Kernel Programming

  1. The Kernel building from the source and learn it from scratch the best page to look forward is crashcourse.ca.

Virtual Machines

  1. My favourite virtual machine manager for windows is vmware player. Its must if you are going to try linux or any other operating system.
  2. Virtual box is the only free virtual machine manager available for mac. I love it :).
  3. Resizing the virtual disks is very common as you could run out of space or as we make a mistake. Now worries this blog gives you a step by step instructions of how to do it.
  4. The best guide to learning about time keeping in VM read here

Jekyll

  1. Getting comments, Analytics, working with jekyll here
  2. The blog markup of jekyll is redcarpet that git also uses. So all markup can be found in git site here

Git

Learning git

  1. Udacity has a good course on getting started with git
  2. If you want to become an expert with handson excercises by using git look here

Configuring git

  1. I used this configuration from the udacity to configure git Link

Performance

1.Single reader single write queue optimization here

MAC

1.if you are new to make and finder that the finder is lacking in options compared to that of the windows like creating a new file. This is a must but hey apple thinks its not needed. So the easiest way is to use an application called xtrafinder.Its cool as it allows you to create tabs in finder, your own shortcuts and so on. Just try it out.

2.Similar to the package management software in linux distributions like apt,rpm which helps to install all open source packages, the mac’s equivalent is brew. Its a must if you are a developer of unix.

Database

If you are one of the few who loves how databases work and debunk their claim of their product look at this blog

Go tools

  1. Using gofmt tool in sublime
  2. Pythia for source code analysis here

Python

If you are interested in improving the performance of python , check out this video

misc

Misc presentation done by me link