Work life balance in a world of choas

-
1 ) Your work ethics and how hard you work doesn't define you. 
(Smart work - work on what is required and presenting your work defines you).

2) If you are in office, you are developer.

 3) If you are in home, you are son, father, husband, brother, brother-in-law etc.

 4) Life is a game (Enjoy the game of life). 

5) Cross the limit (don't control your thoughts ) --> liberate your thoughts.

 6) Make it with Ease (There should be a gap between you and your mind)
    Mind(brain,thoughts) to be used when required, relax when not in use ,to use it full.

 7) You are already balanced all you need to know is how to maintain that balance forever
   a) See reality as it is without a filter to make right decision
   b) Impressions of reality live only in past and future. 
   c) In human mind  there is (memory--> past),  (Imagination-->future) and (reality-->present)

8)If you connect successfully with other people awareness they stay forever in hearts.

 9) You are the single source of truth and you are connected with your awareness of mind with      different people and their awareness of mind.  

Comments

Post a Comment

Popular posts from this blog

Set up your VOIP based SIP soft phone and know more about VOIP

-
Image
VOIP (Voice over internet protocol)        The  trending technology of present and near future. I have spent months of efforts on voip , its a huge topic so to minimize your time and also to refresh my voip skills , I have decided to write this blog. Main Topics covered :- SIP (session initiation protocol) ASTERISK (open source voip server platform)     SIP is a part of Application layer (fig1) in TCP/IP , its major function is to initiate/terminate a sip session and transfer it to TCP/UDP for transmission. In simple terms it holds the FROM and TO addresses in a post , the rest is carried using TCP/IP protocol.  fig1 : SIP in TCP/IP The basic operation of SIP is an INVITE and ACK via proxy, once the opposite Sip phone B accepts the call, a media session is established. Its simple as shown in fig 2. The proxy might be a VOIP services provided by certain websites such as   www.linphone.org ,  SIP2SIP.info  etc or it...
Read more

Front End Developer Interview quiestions- All in single blog

-
I would like to list down some of the important references for a front end interview preparation All in one https://github.com/h5bp/Front-end-Developer-Interview-Questions/blob/master/src/questions/javascript-questions.md https://frontendmasters.com/books/front-end-handbook/2019/#1.1 React.js https://github.com/sudheerj/reactjs-interview-questions#what-are-pure-components ------------------------------------------------------ Angular8 https://blog.angularindepth.com/whats-new-after-angular-8-28d27ce3348a https://www.javatpoint.com/angular-8 ------------------------------------------------------ JS https://github.com/h5bp/Front-end-Developer-Interview-Questions/blob/master/src/questions/javascript-questions.md https://2ality.com/2014/05/oop-layers.html https://hackr.io/blog/javascript-interview-questions https://www.toptal.com/react/interview-questions https://www.codementor.io/nihantanu/21-essential-javascript-tech-interview-practice-questions-answers-du...
Read more

Data Science v/s Data engineer v/s Data Analyst

-
Data Scientist A data scientist is the alchemist of the 21st century: someone who can turn raw data into purified insights. Data scientists apply statistics, machine learning and analytic approaches to solve critical business problems. Their primary function is to help organizations turn their volumes of big data into valuable and actionable insights. Indeed, data science is not necessarily a new field per se, but it can be considered as an advanced level of data analysis that is driven and automated by machine learning and computer science. In another word, in comparison with ‘data analysts’, in addition to data analytical skills, Data Scientists are expected to have strong programming skills, an ability to design new algorithms, handle big data, with some expertise in the domain knowledge. Moreover, Data Scientists are also expected to interpret and eloquently deliver the results of their findings, by visualization techniques, building data science apps, or narrating interes...
Read more