Matlab and Python both can do quite different and incredible things, which makes the question of “Matlab versus Python” interesting. When considering Matlab or Python, the best question to ask is which is best for you? No matter if you’re just starting out coding and trying to decide which language is best to pick up, or you already have five languages under your belt and you’re wondering which should be the sixth, it can be hard to choose the right one to pursue.
This article contains some of my thoughts on communications for distributed teams and is a response to No, we won’t have a video call for that! by Florian Hass. Read his article first if you haven’t yet, he makes some great points! I really enjoyed Florian’s article, and while we agree on a lot of things, like Scrum being a bad idea, I found some key points I disagree with. Let’s start with the disagreements, because they tend to be more interesting, and then I’ll follow up by emphasizing some of his ideas I agree with.
In 2009, the computer science world was blessed with two powerful tools: Golang and Node.js. Golang is a procedural, multiparadigm, open-source programming language, created by Google developers that were unhappy with the existing languages. C, C++, and Java all failed to manage Google’s large network servers, so they created Go, a language derived from the power and syntax of C and based on safety, simplicity, and speed. Most people in the business will say Node.
Golang and C# offer a unique mixture of similarities and differences, having both been inspired by the same language, C. Golang is a procedural, open-source, compiled programming language developed by a team at Google in 2009, after reaching their wits end with C++. The developers decided to create a language that could handle Google’s immense network servers without sacrificing readability, speed, and simplicity. Go continues to grow in popularity and has a devoted following of programmers affectionately known as “Gophers”.
Rust and Python contrast in a unique way because while they both provide back-end web support, Python thrives as a flexible and consistent language, while Rust makes a name for itself with raw power and speed. Python, named after the comedic group Monty Python, is a high-level, interpreted, general-purpose language created by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in 1991. Python is dynamically typed and supports procedural, functional, and object-oriented programming.
If you’re thinking about dipping your toe into the finance sector for your career and you stumble across this article, you may be wondering, “How can Python help in finance?” You, like me, may be surprised to learn that you should learn to code altogether - and even more surprised to learn that the best language for finance is a popular data science language, Python. Learning financial programming with Python is becoming a requirement.
Comparing Python and Java is a bit like comparing boats and cars. They both get you from point A to B and are fun to show off, but that’s where the similarities end. And the same with Python and Java, they’re both programming languages and known for powerful server-side coding, but after that, they become completely different tools. Python is a multiparadigm, general-purpose programming language created by Netherland-based Guido van Rossum at the Centrum Wiskunde & Informatica (CWI).
Simple to learn, endlessly versatile, and perennially in demand by employers paying higher and higher salaries every year — it feels like there’s a million reasons to learn Python. I mean, what’s not to love about being a Python programmer? With a good set of Python skills you can work in data science, machine learning, AI, finance, automation and scripting, web development, game and app development, security, network programming, and so many more attractive and well-paid career fields.
What is cryptography? Simply put, Cryptography provides a method for secure communication. It stops unauthorized parties, commonly referred to as adversaries or hackers, from gaining access to the secret messages communicated between authorized parties. The method that cryptography provides is called encryption. Encryption transforms a key and input, the plaintext, into an encrypted output, the ciphertext. Encryption algorithms are only considered secure if attackers cannot determine any properties of the plaintext or the key when presented with only the ciphertext.