5 of the most well-known programming languages in cybersecurity

5 of the most well-known programming languages in cybersecurity

Secure Coding

When considerably from all roles in stability explicitly demand from customers coding competencies, it is demanding to envision a career in this subject that would not derive significant rewards from at least a fundamental being familiar with of basic coding concepts

5 of the top programming languages for cybersecurity

Coding is a pivotal skill in many facets of modern technologies-driven society and it holds escalating importance for numerous jobseekers and pupils, including those people contemplating a vocation in cybersecurity. Whilst significantly from all roles in stability explicitly demand coding skills, it is demanding to envision a career in this subject that at some position wouldn’t derive considerable advantages from at least a primary comprehending of essential coding concepts.

In this short article, we will evaluate 5 of the most normally utilized programming languages in protection and highlight the principal added benefits of each.

Python

Python is recognised for its comprehensive selection of applications and libraries, simplicity of use and compatibility with other platforms and technologies, as properly as the simple fact that it has one of the most energetic developer communities. This all makes it one of the most commonly employed programming languages in the realm of cybersecurity, where it is often employed for the automation of repetitive jobs, auditing, forensic investigation and the investigation of malware.

As a scripting language, it can be extremely handy for resolving a specific difficulty, this sort of as examining a piece of malware and extracting facts from it, decrypting its configuration or performing other varieties of lower-degree assessment.

Related Examining:

Cybersecurity careers: What to know and how to get started off
5 factors to look at a profession in cybersecurity

It is a clear-cut and quick-to-study programming language, with a a great deal shorter learning curve than some other languages. It typically demands much considerably less code as opposed to other programming languages. Mainly because it is open up source, information about it is abundant.

PHP

While PHP is most usually employed in website growth, there are also a selection of means in which it can be used in cybersecurity. One example is the evaluation of PHP-based mostly internet applications or the look for for vulnerabilities these as SQL injection or cross-internet site scripting (XSS).

PHP can also be helpful for figuring out suspicious behavior in net purposes or world wide web servers by examining their logs, seeking for designs that may well point out a compromise or security breach.

Last but not least, although the options for producing security resources in other languages are incredibly broad, PHP also makes it possible for you to build tailored web person interfaces or integrate diverse safety options in the handle panel.

JavaScript

JavaScript, also known as “JS”, is an interpreted, item-oriented, scripting programming language. It is broadly employed in the improvement of respectable unique applications, which include web-sites and mobile programs and video games, amid many others. If you want to glance at net application stability (and similar vulnerabilities), getting a excellent

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The Major Programming Languages 2023

The Major Programming Languages 2023

Welcome to IEEE Spectrum’s 10th yearly rankings of the Best Programming Languages. Though the way we place the TPL with each other has developed in excess of the previous 10 years, the essentials remain the same: to combine a number of metrics of attractiveness into a established of rankings that mirror the different requirements of various viewers.

This year, Python does not just continue being No. 1 in our common “Spectrum” ranking—which is weighted to replicate the pursuits of the usual IEEE member—but it widens its lead. Python’s greater dominance appears to be mainly at the price of smaller sized, far more specialised, languages. It has turn out to be the jack-of-all-trades language—and the grasp of some, such as AI, wherever potent and in depth libraries make it ubiquitous. And even though Moore’s Regulation is winding down for high-finish computing, lower-finish microcontrollers are still benefiting from performance gains, which usually means there’s now enough computing ability readily available on a US $.70 CPU to make Python a contender in embedded advancement, irrespective of the overhead of an interpreter. Python also appears to be solidifying its posture for the long expression: A lot of kids and teens now software their to start with sport or blink their very first LED working with Python. They can then transfer seamlessly into far more sophisticated domains, and even get a position, with the similar language.

But Python by yourself does not make a job. In our “Jobs” rating, it is SQL that shines at No. 1. Ironically although, you are quite unlikely to get a occupation as a pure SQL programmer. Rather, companies like, love, love, observing SQL techniques in tandem with some other language these as Java or C++. With today’s distributed architectures, a lot of business enterprise-significant details reside in SQL databases, whether it’s the record of magic spells a participant understands in an on-line recreation or the quantity of income in their genuine-lifestyle financial institution account. If you want to to do nearly anything with that information and facts, you require to know how to get at it.

But really do not permit Python and SQL’s rankings fool you: Programming is even now much from getting a monoculture. Java and the different C-like languages outweigh Python in their combined attractiveness, specially for higher-performance or useful resource-sensitive jobs where by that interpreter overhead of Python’s is still as well high priced (even though there are a number of attempts to make Python much more competitive on that front). And there are program ecologies that are resistant to currently being absorbed into Python for other explanations.

We observed more fintech developer positions seeking for chops in Cobol than in crypto

For example, R, a language made use of for statistical assessment and visualization, arrived to prominence with the rise of huge info many several years in the past. Even though potent, it’s not uncomplicated to master, with enigmatic syntax and features ordinarily getting carried out on overall vectors, lists, and

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Exploring Functional Programming Languages vs Object-Oriented Programming Languages | by Isreal | Jul, 2023

Exploring Functional Programming Languages vs Object-Oriented Programming Languages | by Isreal | Jul, 2023
Isreal

Bootcamp

Note: This article is quite lengthy but it’s worth your time to deeply understand the differences between these concepts in programming. Enjoy reading and coding alongside.

The choice between functional programming languages and object-oriented programming languages is a topic of debate among software developers. Both paradigms offer distinct approaches to programming, emphasizing different principles and design philosophies. In this article, we will delve into the characteristics, benefits, and use cases of functional programming languages and object-oriented programming languages. We will also explore code snippets to demonstrate the key concepts and features of each paradigm.

  1. Understanding Functional Programming Languages.
  2. Exploring Object-Oriented Programming Languages.
  3. Code Snippets: Functional Programming Concepts.
  4. Code Snippets: Object-Oriented Programming Concepts.
  5. Choosing the Right Paradigm for the Task.
  6. Conclusion.
  7. Reference

Key Characteristics and Principles:

Immutability: In functional programming, immutability refers to the practice of creating data structures that cannot be modified after they are created. This prevents accidental changes to data and promotes a safer and more predictable programming style.

Here’s an example of this:

Pure Functions and Avoidance of Side Effects: Pure functions are functions that always produce the same output for the same input and do not cause any side effects, such as modifying external state or variables. They rely only on their inputs and return a new value without modifying the existing data.

Here’s a code snippet:

First-Class and Higher-Order Functions: In functional programming, functions are treated as first-class citizens, meaning they can be assigned to variables, passed as arguments to other functions, and returned as values from other functions. Higher-order functions are functions that can accept other functions as arguments or return functions as results.

Check out this code snippet:

// First-class function example
const greet = function(name)
console.log(`Hello, $name!`);
;

greet("Alice"); // Output: Hello, Alice!

// Higher-order function example
function multiplier(factor)
return function(number)
return number * factor;
;

const double = multiplier(2);
console.log(double(5)); // Output: 10

These characteristics and principles in functional programming promote code clarity, reusability, and make it easier to reason about the behavior of the code. By embracing immutability, pure functions, and higher-order functions, developers can write more reliable and maintainable code.

Benefits and Advantages:

Enhanced Modularity and Reusability: Functional programming promotes modular code design by emphasizing the separation of concerns and the use of pure functions. This allows developers to break down complex problems into smaller, reusable functions that can be composed together to solve larger tasks.

// Example of modular and reusable functions
function add(a, b)
return a + b;

function multiply(a, b)
return a * b;

function calculateTotal(price, quantity)
const subTotal = multiply(price, quantity);
const tax = multiply(subTotal, 0.1);
const total = add(subTotal, tax);
return total;

const totalPrice = calculateTotal(10, 5);
console.log(totalPrice); // Output: 55

Easy Parallelization and Concurrency: Functional programming promotes writing code that is less dependent on shared state, making it easier to parallelize and execute code concurrently. With functional programming, you can write code that is naturally more thread-safe and avoids common concurrency issues.

// Example of modular and reusable functions
function add(a, b)
return
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5 Up-and-Coming Programming Languages to Study Following

5 Up-and-Coming Programming Languages to Study Following

Analyst agency RedMonk has just updated its lengthy-term rankings of the world’s most well-known programming languages. There aren’t quite a few surprises here—older and substantially-utilised languages this sort of as Java, JavaScript and Python preserve their dominance—but it’s generally truly worth searching at those smaller languages steadily gaining floor every single year:

To rank the various languages, RedMonk analyzes GitHub pull requests and Stack Overflow dialogue (there’s a lengthy description of their methodology on their internet site). As you can see from the previously mentioned chart, a handful of more recent languages have enjoyed a noteworthy uptick in adoption above the previous handful of a long time, including:

Kotlin: Once Google declared it a “first class” programming language for Android development, Kotlin’s utilization inevitably rose. It’s been regularly named one of the most-cherished languages on Stack Overflow’s once-a-year Developer Survey, and quite a few developers desire it to Java, the language it was developed to supersede.

Dart: Thoroughly clean and intuitive, and made to make it possible for developers to promptly spin up application on a assortment of platforms, Dart has enjoyed a rise in usage. Whilst it does not have the identical footprint as TypeScript, Kotlin, or other more recent languages, it has each individual chance of gaining new supporters in coming yrs.   

Go: Birthed at Google, Go (or “Golang”) is more and more popular thanks to capabilities this kind of as garbage collection and concurrency that developers want and assume in much more modern-day languages. For these intrigued in checking out Go’s capabilities, go to its devoted site, which features downloads, tutorials, documentation, and a browser-primarily based “playground” for producing code.

TypeScript: Technically a superset of JavaScript, TypeScript has gained level of popularity thanks to its trustworthiness and attributes like static typing. If you want to participate in all around with it, v5.1 beta is now out.  

Swift: Apple launched Swift in 2014, positioning it as a replacement for Objective-C, the longtime language for Apple software program improvement. Swift liked immediate adoption more than the following quite a few yrs, whilst RedMonk’s chart suggests it started to stage off about 2018. However, provided the measurement of Apple’s program ecosystem, it seems possible that the language will only continue to obtain people in coming many years, primarily as it adds new options.

Even though learning older and ultra-well-known languages this kind of as Python and JavaScript can generally establish beneficial, continue to keep an eye on up-and-coming languages this sort of as Swift and TypeScript all those could conveniently turn into even a lot more well-known in decades to come—opening up new task alternatives in the method.  

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I used ChatGPT to write the same routine in these ten obscure programming languages

I used ChatGPT to write the same routine in these ten obscure programming languages
gettyimages-171792113

An instructor at the Boston Latin School uses an IBM 1130 computer to teach Fortran to students on October 4, 1968. 

Photo by Underwood Archives/Getty Images

A few weeks ago, I took a look at using ChatGPT to write the same routine in a dozen of the most popular programming languages. But as a programming language geek, I wondered just how far ChatGPT would go. Would it program in a language from the 1950s? Would it program in a language that used its own character set? Could it write code in one of the languages that wrote its code?

Also: The best AI chatbots: ChatGPT and alternatives to try

And so, I dove in. I’ve used many of the languages I’m spotlighting here, so I’ll take a little walk down memory lane and include some stories about my experience with those I’ve used.

While I haven’t run the code itself, I’ve read through all the generated programs. Most look right, and show the appropriate indicators telling us that the language presented is the language I asked for.

Also: How does ChatGPT work?

I’m telling you this because the headers on all the screenshots are wrong. Most are listed as SQL. For some reason BAL is shown as VBNet, and Prolog is listed as Rust. ChatGPT didn’t make this error last time, but it made today, for all the languages shown here.

And with that, let’s dive in.

Fortran

Fortran (or FORTRAN, as it was depicted back then) stands for Formula Translation. It was developed primarily for scientific and engineering calculations. Even though it dates back to the 1950s, it was often the first language taught to engineering students in the 1970s and 1980s.

Also: This new technology could blow away GPT-4 and everything like it

For me, it was my fourth programming language, after BASIC, PDP-8 assembly language, and PDP-8 binary (yes, I wrote binary code so I could toggle it in on the front panel of an early minicomputer). My Dad generously drove me the hour down to Newark College of Engineering (now NJIT) so I could take their first-year programming course while I was still a sophomore in high school.

Fortran was never a favorite, although it would get most calculation-oriented jobs done. A variation of Fortran is still in use today, but it’s pretty limited to specialty scientific work since many other modern languages do Fortran-level analytics, and do it better.

Here, because of the use of the implicit keyword, it looks like ChatGPT is depicting code written in the Fortran-77 variant.

fortran-77

Even though the label is wrong, the code is Fortran.

Screenshot by David Gewirtz/ZDNET

COBOL

I was a teenaged COBOL programmer. I didn’t know COBOL at the time, but somewhere around 1980 I saw a want ad for a COBOL programmer at the Northeast Regional Data Center of International Paper in Denville, NJ. It was about 40 minutes from my parents’ home, and I needed a summer job. As soon as I managed to schedule

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I used ChatGPT to write the same routine in 12 top programming languages. Here’s how it did

I used ChatGPT to write the same routine in 12 top programming languages. Here’s how it did
lang-1

David Gewirtz/ZDNET (with a little help from ChatGPT)

Over the past few months, we’ve all come to know that ChatGPT can write code. I gave it a number of tests in PHP and WordPress that showed both the strengths and weaknesses of ChatGPT’s coding capabilities.

Also: Okay, so ChatGPT just debugged my code. For real.

But how far does ChatGPT’s coding knowledge extend? In this article, I’m going to throw the classic “Hello, world” programming assignment against the twelve popular languages in O’Reilly Media’s popularity rankings for 2023.

Because “Hello, world” can often be coded in one line, I’m adding a slight wrinkle, having ChatGPT present “Hello, world” ten times, each time incrementing a counter value. I’m also asking it to check the time and begin each sequence with “Good morning,” “Good afternoon,” or “Good evening.”

Also: How to use ChatGPT: What you need to know now

That should give us a look at program flow and some intrinsic functions as well, but still keep the code small enough that I can include a dozen screenshots in this article.

Here’s the prompt:

Write a program in ____ that outputs “Good morning,” “Good afternoon,” or “Good evening” based on what time it is here in Oregon, and then outputs ten lines containing the loop index (beginning with 1), a space, and then the words “Hello, world!”.

For each programming language, I also asked ChatGPT to describe its primary use. Here’s the prompt I used for this query:

For each of the following languages, write a one-sentence description of its primary use and differentiating factor: Java, Python, Rust, Go, C++, JavaScript, C#, C, TypeScript, R, Kotlin, Scala.

Now, let’s look at each language.

Java

ChatGPT describes Java as, “A general-purpose language used primarily for building desktop, web, and mobile applications, and known for its ‘write once, run anywhere’ philosophy.”

Also: The best AI art generators to try

Java was originally developed by Sun Microsystems, but when Oracle bought Sun, it also bought Java. While the Java spec is open, the language is owned by Oracle. This has led to some spectacular legal fireworks over the years.

Here’s ChatGPT’s code:

java

Screenshot by David Gewirtz/ZDNET

Python

ChatGPT describes Python as, “A general-purpose language used for data analysis, artificial intelligence, web development, and automation, and known for its readability and ease of use.”

Also: How to write better ChatGPT prompts

My advice: if you plan to learn to code for AI applications, learn Python. Almost all AI code has tight Python integration.

Here’s ChatGPT’s code:

python

Screenshot by David Gewirtz/ZDNET

Rust

ChatGPT describes Rust as, “A systems programming language used for building high-performance and reliable software, and known for its memory safety and thread safety guarantees.”

Here’s ChatGPT’s code:

rust

Screenshot by David Gewirtz/ZDNET

Go

ChatGPT describes Go as, “A systems programming language used for building scalable and efficient network and server applications, and known for its simplicity and built-in concurrency features.”

Also: How to make ChatGPT provide sources and citations

Go is open source, but it’s

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