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: 268Word Count: 325See All articles From Author

Add Comment

Technology, Gadget and Science Articles

1. Web Scraping Rohlik Grocery Products And Pricing Data
Author: Web Data Crawler

2. Pincode Serviceability Delivery Insights
Author: REAL DATA API

3. How Sales Order Management Software Integrates With Inventory, Wms & Accounting Tools
Author: logitrac360

4. Mccain Food Service B2b Price Comparison Via Data Scraping
Author: Real Data API

5. Thuisbezorgd Api Scraping For Food Delivery Intelligence
Author: Web Data Crawler

6. Blockchain-powered Mobile Payments Explained
Author: brainbell10

7. Boosting Business Results With Amazon Api Scraping For Growth
Author: Retail Scrape

8. Market Forecast: Devops Platform
Author: Umangp

9. Shopee Vs Lazada Real-time Product Monitoring
Author: Actowiz Solutions

10. Tubi Catalog Data Extraction For Ott Market Research
Author: REAL DATA API

11. E-commerce Product Matching On Willhaben - Price Benchmarking
Author: Actowiz Metrics

12. Web Scraping Api For Hungerstation Food Data In Saudi Arabia
Author: Food Data Scraper

13. Customer Sentiment Grubhub Reviews Insights For Growth
Author: DataZivot

14. Incident Response At Machine Speed — Are Human-driven Models Still Enough?
Author: NetWitness

15. Extracting Uniqlo Online Catalog Data For Analytics
Author: REAL DATA API

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