123ArticleOnline Logo
Welcome to 123ArticleOnline.com!
ALL >> Technology,-Gadget-and-Science >> View Article

Top Programming Languages To Learn In 2020

Profile Picture
By Author: GICT Training
Total Articles: 1
Comment this article
Facebook ShareTwitter ShareGoogle+ ShareTwitter Share

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

Python

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 Learning Specialist program

C/C++

Difficulty level: Slightly easy to learn
C/C++ is like the bread and butter of programming. It is well known for performance and is the preferred language for graphically intensive applications which includes game development, graphics engines, and for virtual and augmented reality. Apart from that, C++ also provides something called the Standard Template Library (STL). STL is a pool of ready-to-use libraries ...
... for various data structures, arithmetic operations, and algorithms.

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 Data Analytics (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.

Total Views: 330Word Count: 325See All articles From Author

Add Comment

Technology, Gadget and Science Articles

1. Call Recording Apps: Features You Should Look For
Author: Addison

2. How Voyage Management Systems Reduce Maritime Delays And Improve Fleet Efficiency
Author: Ashraf

3. Big Basket Product Catalog Scraping: Extract Grocery Delivery Api
Author: Web Data Crawler

4. Competitive Insights Through Walmart Grocery Data Analytics
Author: DataZivot

5. Global Regional Fmcg Price Tracking For Market Analysis
Author: Retail Scrape

6. Scraping Customer Experience Data From Quick Commerce Apps
Author: REAL DATA API

7. How Is Web Scraping For Automotive Market Analysis In The Usa Driving 25% Higher Market Visibility?
Author: Retail Scrape

8. Key Features Of Mobile Apps Development For Marketers
Author: brainbell10

9. How Does Home Decor Product Variant Data Extraction Improve Variant Tracking Across Modern Decor Stores?
Author: Retail Scrape

10. Scraping Poundland Grocery Data For Retail Market Intelligence
Author: Food Data Scrape

11. Is Your Hr Team Still Buried In Paperwork? Shift From Paperwork To Productivity With Focus Hcm
Author: Focus Softnet

12. Zomato & Swiggy Restaurant & City-level Performance Data
Author: Actowiz Solutions

13. Quick Commerce Product Availability Monitoring For Retail Brands
Author: REAL DATA API

14. Amazon Fresh Data Intelligence & Grocery Delivery Scraping
Author: Web Data Crawler

15. Wine Inventory Data Scraping For Cellar Management App
Author: Food Data Scrape

Login To Account
Login Email:
Password:
Forgot Password?
New User?
Sign Up Newsletter
Email Address: