Showing posts with label Tutorial. Show all posts
Showing posts with label Tutorial. Show all posts

Thursday, 28 September 2017

Mathematics in Markdown


From Wiki - 
Markdown is a lightweight markup language with plain text formatting syntax designed so that it can be converted to HTML and many other formats using a tool by the same name.[8] Markdown is often used to format readme files, for writing messages in online discussion forums, and to create rich text using a plain text editor(extensions - *.markdown , *.md ). website
Best thing of markdown files is you can convert the same into html without any issue. 



I've introduced with Markdown files when I have started to put my code on GitHub (https://github.com/atulsingh0). Started with little up n downs but after I've fallen for it, Its easy to write ReadMe or Math Equations files in markdown with little help.

In this tutorial, I have focused on Mathematics part only, for writing math formulas, Markdown is using LaTeX symbols for Greek letters, Brackets, Sign operator and lots of other symbols.

I have consolidated few of them and will add more,
Hoping, you will find it useful -  Direct Link

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Wednesday, 31 May 2017

Remove ctrl-M character from all files within Directory #iLoveScripting


Continuing our journey on #iLoveScripting,..............
This script will do the same task as "clnM.sh" but this will accept Directory Path as an input rather than the filename. It will iterate through each file within given directory and remove all Ctrl-M characters.


If you are unable to see the Script, Please find it here - LINK







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Tuesday, 30 May 2017

Remove ctrl-M character from file #iLoveScripting


This is my first post under #iLoveScripting which will have lots of shell script which are helping me in my day to day task and sharing here for all guys for easing their work as well.

 The very magical script, which I have use, is "clnM.sh". This script is remove the ctrl-M characters (^M) from your windows file.

Usage:  clnM.sh <FILE>


If you are unable to see the Script, Please find it here - LINK




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Friday, 3 February 2017

Learning Matplotlib #2

Saturday, 14 January 2017

Learning Numpy #2

Thursday, 12 January 2017

Learning Numpy #1


Numpy is a python library used for numerical calculations and this is better performant than pure python. In this notebook, I have shared some basics of Numpy and will share more in next few posts. I hope you find these useful.





Click Here for Next Tutorial ~

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Wednesday, 11 January 2017

My Learning Path for Machine Learning


I am a Python Lover guy so my way includes lots of Python points. If you dont know the basics of this wonderful language, start it from HERE else you can follow the links which I am going to share.

Learning ML is not only studying ML algorithms, it includes Basic Algebra, Statistics, Algorithms, Programming and lot more. But no need to afraid as such :-) we need to start from somewhere.....

This is my github repo, you can fork it and follow me with these 2 links --

Fork Fork
Follow - Follow @atulsingh0
I am still updating this list and welcome you to update this as well.



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Friday, 6 January 2017

10 minutes with pandas library

Thursday, 5 January 2017

Learning Pandas #5 - read & write data from file

Wednesday, 4 January 2017

Learning Pandas #4 - Hierarchical Indexing

Sunday, 1 January 2017

Learning Pandas #3 - Working on Summary & MissingData

Saturday, 31 December 2016

Learning Pandas - DataFrame #2

Friday, 30 December 2016

Learning Pandas - Series #1

Wednesday, 28 December 2016

Learning Graphlab - SFrame #2

In last post Learning Graphlab - SFrame #1, we have learn basics of SFrame, like how to create, add or delete the columns in SFrame. In this post, we will revise it once again and learn some advance features of SFrame. Have a good learnng !!!

You can view the Jupyter Notebook for the same HERE




Sunday, 18 December 2016

R Points #1 - Matrix & Factor Basics

Wednesday, 30 November 2016

Learning Graphlab - SFrame #1


Hoping you guys went through the last post (Lnk -> Getting Started with Graphlab), In this post we will do some handson SFrame datatype of Graphlab which is same as dataframe of pandas python library.

i. Reading the CSV file
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rdCSV

ii. save DataSet 
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iii. load DataSet
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iv. Check Total Rows and Columns
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rowNum

v. Check Columns data type and Name
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colTypes

vi. Add new column
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addCol

vii. Delete column
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viii. Rename column
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renameCol

ix. Column Swapping (location)
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Sunday, 16 October 2016

Jenkins with Windows #1


One of my team member is assigned to install and configure "jenkins" on our server so out of curiosity, I asked what is this now ?? but didn't get a satisfactory answer :-) so I thought of having my hand dirty with it. Here, I am sharing whatever I learn.

What is Jenkins:-
Wikipedia sources says,  Jenkins is an open source automation server written in Java. Jenkins helps automating the non-human part of the whole software development process, with now common things like Continuous Integration, but by further empowering teams to implement the technical part of a Continuous Delivery.

https://jenkins.io/

What is Continuous Integration & Continuous Delivery:-
CI is a process that most developers follow to keep their code base intact. It's mostly a common practice when you work in a group environment. For example, an analogy for this would be constructing a new home. There will be multiple contractors working on the site. So, if we have installed the window glasses and the paint person comes in and paints the house there are high chances that he will drop some paint on the glasses or end up breaking the glass. So, the inspector comes and checks it every day to see if something broke. The same process is applied for constructing a new code. CI system gathers all your code from different developers and makes sure it compiles and build fine. This is good. But, not complete. I will get to that once I complete talking about Jenkins.


Jenkins is the inspector in the analogy. Jenkins is nothing but a middle man between your code repo and your build server. It checks for changes on your server every few minutes. If it found them, it gathers them and sends them to your build server. That's what Jenkins is.

Basically Continuous Integration is the practice of running your tests on a non-developer machine automatically everytime someone pushes new code into the source repository.

This has the tremendous advantage of always knowing if all tests work and getting fast feedback. The fast feedback is important so you always know right after you broke the build (introduced changes that made either the compile/build cycle or the tests fail) what you did that failed and how to revert it.

If you only run your tests occasionally the problem is that a lot of code changes may have happened since the last time and it is rather hard to figure out which change introduced the problem. When it is run automatically on every push then it is always pretty obvious what and who introduced the problem.

Built on top of Continuous Integration are Continuous Deployment/Delivery where after a successful test run your instantly and automatically release the latest version of your codebase. Makes deployment a non-issue and helps you speed up your development.


                              Jenkins offers the following major features out of the box, and many more can be added through plugins:

Developer time is focused on work that matters — Much of the work of frequent integrations is handled by automated build and testing systems, meaning developer time isn't wasted on large-scale error-ridden integrations.

Software quality is improved — Any issues are detected and resolved almost immediately, keeping software in a state where it can be safely released at any time.

Faster Development - Integration costs are reduced both because serious integration issues are less likely and because much of the work of integration is automated.

Easy installation: Just run java -jar jenkins.war, deploy it in a servlet container. No additional install, no database. Prefer an installer or native package? We have those as well.

Easy configuration: Jenkins can be configured entirely from its friendly web GUI with extensive on-the-fly error checks and inline help.

Rich plugin ecosystem: Jenkins integrates with virtually every SCM or build tool that exists.

Extensibility: Most parts of Jenkins can be extended and modified, and it's easy to create new Jenkins plugins. This allows you to customize Jenkins to your needs.

Distributed builds: Jenkins can distribute build/test loads to multiple computers with different operating systems. Building software for OS X, Linux, and Windows? No problem.


Check out the part 2 for Installation.



Sources:
https://jenkins.io/ https://en.wikipedia.org/wiki/Jenkins_(software) http://stackoverflow.com https://www.quora.com



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Tuesday, 31 May 2016

Python Points #13 - Comprehensions

Wednesday, 20 April 2016

Shell Script Scenario #8 - Odd and Even No



 Write a shell script to find whether an input integer is even or odd. 








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Friday, 11 March 2016

Python Points #12 - execute OS commads