Skip to main content

Five Programming language you should learn in 2015

1. Java- This language turned 20 this year but still the popularity is never ending for it. The language mostly used in the big organization holding command over large enterprises application ruling over the business world. The language evolved itself in long theses 20 years to a great extent. There are frameworks like struts and springs also automatic built like maven and gradel that are giving  less headache to the coder and equally contributing role in the popularity of  it. This is also one of the high paying languages in the world.

2.Python- Python that has been changed a lot in last decade is ruling in the heart of all start-ups over the world. The speed through which it develops code in a less time is the reason for its popularity and is started getting a good share of percentage in the web development world. Often with Django framework and various libraries, it is becoming on of the favorite language for the programmers.  It is heavily used in big data and machine learning applications.

3.   Node.js- Node.js is a server side language. In the era of JSON and web services, it is highly used by startups because it is fast and can support the application while transferring data from servers to the web page.


4.ruby on rails-This language has ruled the last decade and replaced PHP to a lot of extents. The websites that are developed by using this framework is known for its rich front end, awesome design, and great scalability. This language is not going to be obsolete so learning this language may help you getting a job in any of the web designing company or you can start developing your product because its so simple to learn and implement.

5.   R- As it is said that  “data scientist” is the best job of the decade. This language holds the same for it. A language gaining popularity in the field of data science and machine learning environment. A language that must try for data analysis in the world of surplus amount of data getting wasted each day.


Labels:

Comments

Post a Comment

.

Popular posts from this blog

Calculating size of User and Cache storage

user storage:- it can be solved using same scenario as mentioned in first article . https://tech.nazarmubeenworks.com/2019/08/basics-of-system-design-chapter-0.html Suppose there are 12 Million of users are adding every year meaning 1 Million per month. So if we consider 5 year there will be around 60 million of users. Now in terms of data we can look to our DB table and get information about it. A user will be generally having name , id , address , some forien keys . Lets assume 10 columns with each column on an average storing 4 byte of data. 10*4 = 40 bytes of data for one user. 60 * 10^6 * 40 = 2400 * 10^6 = 2.4 * 10^9 = 2.4 GB of data we need to store only user values. Also while calculating storage for the user there is also one important point we need to remember is of ids. If we are going to have 60 Million of users which means 60*10^6 users so unique id’s will be as we know below figures are almost equal
1 comment
Read more

Best LeetCode Lists for Interviews

Here is a list of some of the best questions asked in interviews:-  Must do 75 https://leetcode.com/list/5hkn6wze/ Must do 60  https://leetcode.com/list/5eie1aqd/ Must do medium:-  https://leetcode.com/list/5xaelz7g/ Must do Easy:-   https://leetcode.com/list/5r7rxpr1/ Graph:-  https://leetcode.com/list/x18ervrd/  Dynamic Programming:-    https://leetcode.com/list/x14z0dxr/  FaceBook interviews:- https://leetcode.com/list/xyu98pv6/  Amazon Interviews:-  https://leetcode.com/list/5hkniyf7/  Google Interviews:- https://leetcode.com/list/xyu9xfo1/ https://github.com/nazarmubeen/TopProblems/blob/master/README.md
1 comment
Read more