One of the key skillset in demand is how to code
effectively. But which programming languages should you learn first?
Here are some of the best coding languages to pick up in 2019 for a job and for future prospects
Here are some of the best coding languages to pick up in 2019 for a job and for future prospects
Python
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhh-EILtudIclOEUnBKX3xZJRsEip7rhQherBygq5xfkpMZvef2cy1wZXmRpzgDMM6KTceu88nDN7eIxHhel1yQieeyc0zsODoioJ78TlKp3f3fUE08uV1LWwCXSsJe9ZBEup7pxGXvE34/s1600/blog5.2.PNG)
Difficulty level: Easy to learn and recommended for beginners
Python is becoming the
world’s most popular coding language and influential. Even The Economist, a
magazine not known for its coverage of programming-related topics, wrote about
the language in a recent article.
It is also one of the most flexible languages to learn and has a wide online community.
Find out more about at our Certified Machine LearningSpecialist program
C/C++
Difficulty level: Slightly easy to learn |
R
Difficulty level: Moderate to learn |
R programming language is the more commonly used programming
languages for Data Analytic and Machine Learning. It is also used for general
statistical computing as well as graphics. If you are someone who wish to join
“Analytics” team of a large organization, then you should definitely learn R.
Get skilled in R Tool by joining our Certified DataAnalytics (R) Specialist program
Julia
Difficulty level: Moderate to learn |
Julia is an MIT-created programming language which is still
a relatively niche language compared to incumbents like Python. But it has also
found favour as a language for building machine-learning models and running
supercomputer simulations. Not only that, it works with libraries written in
languages like Python and C as well. Question is whether Julia can be the new
Python?
Tip of the day: Don’t try to learn too many programming
language at once; choose one and master it, then move on.
No comments:
Post a Comment