1. Rust

Rust is a systems programming language meant to replace a lot of C and C++ development. Rust offers the performance of C and C++ but with safeguards developers from self-inflicting real pain to themselves. For those of you who have programmed in C/C++ long enough will truely appreciate this statement.

There has been quite an uptake of new devs coming into this space. Rust has an ever-growing user base. They are now hundreds of companies using Rust for production use such as Dropbox, Yelp, and Cloudflare. Products like Amazon’s recently announced virtualization technology Firecracker are being created with Rust,

Rust was also voted the “most loved” technology in StackOverflow’s 2016 developer survey (meaning it had the most users who wanted to keep using it).

Even though it's relatively new compared to other languages that have been around for decades it surprisingly has a large inventory of available libraries to use to speed up your development efforts. You can find most of what you would expect on crates.io or GitHub.

Some key features of Rust

One of the key things about Rust is speed and memory-efficient: with no runtime or garbage collector, it can power performance-critical services, run on embedded devices, and easily integrate with other languages. Moving on into the next 5 years and decade ahead as we hit limitations with hardware it languages that are faster with smaller memory footprint that improves speed and responsiveness also allow us to write more power-efficient code will be more relevant.

Reliability: Rust’s rich type system and ownership model guarantee memory-safety and thread-safety and enable you to eliminate many classes of bugs at compile-time.

Productivity: Rust has great documentation, a friendly compiler with useful error messages. Compiler messages for C++ code, for example, are notoriously difficult to decipher. The compiler for Rust is much better and helpful. If you want to learn systems programming, having “rustc” compiler as your guide will keep your head free to worry about other things than memory safety.

As one famous programmer once said: Pascal is like wearing a straightjacket, C is like playing with knives, and C++ is juggling flaming chainsaws. In that metaphor, Rust is like doing parkour while suspended on strings & wearing protective gear. Yes, it will sometimes look a little ridiculous, but you’ll be able to do all sorts of cool moves without hurting yourself. lifthrasiir

2. Python

The popularity of Python has been steadily rising over the years especially in the last 10 years, finally breaking the top 5 on the Tiobe Index.

Python is versatile by versatile I mean it’s a very practical language that pretty much fits into a lot of use cases. For starters it a scripting language, that means it’s pretty fast to get started with there are no compile run cycles such as that in java. Its object-oriented language in nature that’s if you choose to opt to program in an object-oriented way. Python has replaced Java for many academic courses in universities as the default preferred language to start with. It is just so easy for beginners to get started to install the python interpreter run

$ print (‘hello world this is my. First program’)

And that’s pretty much it, your first program writing in python.

Python is paving the way for the future. Hence its relevance in the next 5 years and beyond. new technological paradigms such as machine learning, deep learning, artificial intelligence, big data, think of all trending data science buzzwords been thrown around the internet have been made possible with its large inventory of mature libraries such as TensorFlow, Scikit-Learn, Dask for distributed Data Science large scalable computations. Python is also and can be used for quantum computing. Though we are still relatively far out from quantum computing be accessible you can have a heard start securing your place as a quantum programmer.

Python has been well received in both enterprise and startups use cases. These massive strides have been made in the last 5 years, hence its relevance is more grounded now more so than ever before. We now have a wide range of platforms such as Reddit, A lot of Google libraries built on top of python.

I personally use Python for writing scripts and automating a lot of mundane tasks quickly. Its always be an invaluable language to get freelance projects done quickly.

If you leverage on python you . have access to web frameworks such as Django framework which one of the best Python frameworks in building web applications for both front and backend. adhering to the DRY principle auto scaffolding, batteries included philosophy to quickly build applications with very little code and very little programming experience.