Top 10 Best Programming Languages To Learn in 2024 — Superior Codelabs IT Services

A new list of hot languages is out — well one list of many.

Once again, Python is the hottest language, but what I find interesting is the inclusion of assembler although it does not specify which version (NASM, FASM, etc.).

  1. Python
  2. JavaScript
  3. Java
  4. C++
  5. Swift
  6. Go (Golang)
  7. Kotlin
  8. Rust
  9. TypeScript
  10. PHP
  11. Ruby
  12. Shell Scripting (Bash)
  13. SQL
  14. Scala
  15. C#
  16. MATLAB
  17. Dart
  18. Julia
  19. Assembler

This article also includes a quick explanation why all programmers should learn how to manage data.

How important is SQL for a programmer or developer?
SQL (Structured Query Language) is crucial for anyone working with databases. Whether you’re a developer, data analyst, or database administrator, understanding SQL is essential for managing, querying, and manipulating data in relational databases.
https://www.linkedin.com/pulse/top-10-best-programming-languages-learn-2024-superiorcodelabs-yx3ec/

This list and quote are neither an endorsement nor an advert.

In other words, these are languages recommended to learn in order to get a good paying job.

10 Fastest-Growing Languages on GitHub Offer Some Surprises (Dice)

This is not an advert.

According to Dice and GitHub, the fastest growing language is Hashicorp Configuration Language (HCL).

I don’t think I’ve ever heard of HCL for Terraform.

“an open-source infrastructure as code software tool that enables you to safely and predictably create, change, and improve infrastructure”

If interested in this language, refer to the following links.

  1. https://github.com/hashicorp/hcl
  2. https://developer.hashicorp.com/terraform/language/syntax

NSA Releases Guidance on How to Protect Against Software Memory Safety Issues

The National Security Agency (NSA) has released a report of what programming languages people should use because of memory safety (leaks, exploits, etc.).

The “Software Memory Safety” Cybersecurity Information Sheet highlights how malicious cyber actors can exploit poor memory management issues to access sensitive information, promulgate unauthorized code execution, and cause other negative impacts.
https://www.nsa.gov/Press-Room/News-Highlights/Article/Article/3215760/nsa-releases-guidance-on-how-to-protect-against-software-memory-safety-issues/

The report goes into some detail pointing out that older languages may be exploited.

Memory issues in software comprise a large portion of the exploitable vulnerabilities in existence. NSA advises organizations to consider making a strategic shift from programming languages that provide little or no inherent memory protection, such as C/C++, to a memory safe language when possible. Some examples of memory safe languages are C#, Go, Java, Ruby™, and Swift®. Memory safe languages provide differing degrees of memory usage protections, so available code hardening defenses, such as compiler options, tool analysis, and operating system configurations, should be used for their protections as well. By using memory safe languages and available code hardening defenses, many memory vulnerabilities can be prevented, mitigated, or made very difficult for cyber actors to exploit.
https://media.defense.gov/2022/Nov/10/2003112742/-1/-1/0/CSI_SOFTWARE_MEMORY_SAFETY.PDF

The Memory Safety (Internet Security Research Group) has a list of languages that are memory safe.

Memory safe languages include Rust, Go, C#, Java, Swift, Python, and JavaScript.
https://www.memorysafety.org/docs/memory-safety/

This means that we should learn and use the following languages.

  1. C# (Microsoft)
  2. Go (Google)
  3. Java (Oracle)
  4. JavaScript (Oracle)
  5. Python (Python Software Foundation)
  6. Ruby (Yukihiro Matsumoto)
  7. Rust (Rust Foundation)
  8. Swift (Apple)

Yet another post on Python

The quote below is neither an endorsement nor an advert.

Learning Python is a great way to get started with programming. Learning how to code is a skill that will benefit you throughout your life. You’ll be more efficient at work, get better grades in school, take more control over the technology around us, and be a crucial member of the growing tech industry. Since it’s such a common language, learning Python will help you understand how other coding languages work, too. Being able to understand and read other people’s code is invaluable.

https://copyassignment.com/free-python-course-loved-by-over-7-7-million-people/

It seems that many people agree that Python is the new BASIC (1964-now).

    10 PRINT "Hello world! ";
    20 GOTO 10

Python is the language that everyone should learn in order to learn other languages.

Data Analysis: What to Learn

  1. Applied statistics (not software, but good old math) including general understanding of machine learning (artificial intelligence).
  2. R and/or Python with libraries like NumPy and/or pandas.
  3. Structured Query Language (SQL) with a broad understanding of extensions (vendor-specific syntax) depending on the relational database management system (RDBMS) that the company (your employer) has like Oracle, MySQL, PostgreSQL and/or SQL Server.
  4. Data visualization applications like Tableau, SSRS and/or Crystal Reports.
  5. Data normalization (how to clean dirty data using SQL).

Why Programmers Need to Learn SQL if You Want a Job in Data? (Analytics Insight)

The quote below is neither an endorsement nor an advert.

SQL is a language that enables storing, retrieving, and manipulating data in databases… SQL has a lot of career options in the business domain as well as in the data science sector. When data is of interest in the gap analysis, SQL can be used to find gaps in data such as dates or number sequences. A thorough gap analysis is a critical piece of any business analysis; therefore, a good understanding of SQL can be an essential tool for Business Analysts.

https://www.analyticsinsight.net/why-programmers-need-to-learn-sql-if-you-want-a-job-in-data/

The article is loosely written, but the potential student can get the idea what SQL is for and how to use it.

SQL is the only language to access relational databases like PostgreSQL, Oracle, MySQL and its fork MariaDB, SQL Server and others. The only difference between vendors is the subset of language (different statements and/or syntax not included in the latest version, SQL:2016 or ISO/IEC 9075-1:2016) that each vendor adds to the language, referred to as extensions — PL/pgSQL, PL/SQL, MySQL, T-SQL and others.

Most Popular Programming Languages to Learn in 2022 (simplilearn.com)

This is neither an endorsement nor an advert.

Once upon a time, the world of computer programming was a mysterious and exclusive place. Only a select handful of people were considered computer programmers with cutting-edge coding skills. Today, many IT jobs require a solid grasp of the top programming languages, and yes, we mean more than one.

https://www.simplilearn.com/best-programming-languages-start-learning-today-article

The following is the list by simplilearn.com.

  1. Javascript
  2. Python
  3. Go
  4. Java
  5. Kotlin
  6. PHP
  7. C#
  8. Swift
  9. R
  10. C & C++
  11. Matlab
  12. TypeScript
  13. Scala

Python remains atop the TIOBE index for November [2021], while PHP shows signs of decline

Yet another reason to learn Python

“The 10 most popular programming languages remain the same, but numbers toward the bottom of that group are shifting, with PHP dropping and assembly language continuing to rise.”
https://www.techrepublic.com/article/python-remains-atop-the-tiobe-index-for-november-while-php-shows-signs-of-decline/