Best Programming Languages for Learning Robotics in 2025

Before I met Dupras, I thought of efficiency in terms of speed. But the true costs of that speed are carefully hidden in rural data centers and distant copper mines. I rarely considered the energy required to power each additional gigabyte of RAM, or the fact that cloud computing now has a bigger carbon footprint than the airline industry. Soon I found myself refining and revisiting my code like I would a run-on sentence. Instead of expecting the machine to anticipate my needs, I tried to think like the machine, to meet it more than halfway. Ultimately, the best scripting language depends on your specific needs and environment.

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Developers can now explore Mojo’s inner workings, contribute to its development, and learn from its implementation. This collaborative approach will likely lead to faster bug fixes, performance improvements and the addition of new features, ultimately making Mojo more versatile and powerful. Python is without a doubt the most buzzed-about language for AI development. However, a decent programmer can work with AI in nearly any programming language, and other popular options include Java, R, JavaScript—and of course, C++. Node.js supports asynchronous operations and serverless computing, ideal for modern cloud services.

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It’s versatile, in high demand, and has a massive community to support you. Plus, it’s constantly evolving, so you’ll never get bored. If you’re on the web, you’re probably running JavaScript. It’s not just for making websites look fancy anymore; it’s a full-blown programming language that can do a ton of stuff.

Dupras lives in the countryside of Quebec, Canada, with his wife and two kids, in a 500-person town where people chop their own wood, grow their own food, and sometimes build their own houses. It felt odd sending him a Google Calendar invite—I knew from his trove of essays that he hates big tech. Unlike many of his sustainably minded neighbors, Dupras thinks the battle against climate change is futile. “Once you’ve peeped into the abyss, you can’t really unsee it,” he says. Dupras has simply accepted his fate, to the point where it’s become an article of faith. The same way there are Catholics, there are Collapseniks, he says.

It helps in managing memory more effectively and is often used to program hardware drivers and robotics middleware, such as ROS. How do you ensure your company data is both secure and quickly recove… In an era where video security and digital technologies are evolving … LLM-jp, an open-source national sovereign LLM project led by National Institute of Informatics, will be one of the first projects supported by AI Alliance Japan. AI Alliance Japan is a new regional working group focused on advancing open research and open-source AI in Japan with the ability to leverage technical and advocacy support from AI Alliance members globally.

• A language that’s slow or clunky can really bog things down.
• Catching errors at compile time rather than runtime saves you a ton of headaches.
• Kotlin is primarily used for Android development, but you can also use it for server-side stuff with the JVM.
• Tools using predictive models based on neural networks entered the fray in the ’90s, typically used to detect problems in code using pattern recognition.

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Plus, it’s got automatic memory management, so you don’t have to worry as much about memory leaks. If you are new to programming, interactive lessons can help you get started. Rust has been gaining traction as a language for automation, especially where reliability and safety are paramount. It’s not your typical scripting language, but its unique features make it a strong contender for critical automation tasks. I’ve been playing around with it, and while the learning curve is real, the peace of mind it offers is pretty compelling. Further research from GitHub on how developers are using its Copilot tools found that, on average, tasks can be completed up to 55% faster when assisted by AI.

The JetBrains CEO is in the end also excited about the technology’s possibilities, with AI announcements leading KotlinConf 2025’s treasure trove of updates. In Skrygan’s view, the promise of greater accessibility extends beyond AI alone. Ideally, the app could run on a device hanging on the kitchen fridge. Clearly this is a long-term vision beyond Kotlin’s current capabilities. Dana and OpenDXA are both open, collaborative efforts of AI Alliance members, led by Aitomatic.

Devine has observed a growing trend called “permacomputing” that fosters a more mindful relationship with technology, one that considers resource constraints. Coding in Forth reminded me of the lawless dystopia in Mad Max. You make your own rules, subject to the limits of the context. You can rewrite machine code instructions for a Word. Because Words become keywords themselves in Forth, you can create a language that’s optimized for a single purpose, packing commands that would otherwise be dozens of lines into just one.

Otherwise, without the internet, you’ll only be able to get it by copying it from someone who already has it installed. Which brings us to the other thing—the reason Dupras equates proficiency in Forth to power. Very few people will have both a copy of Dusk OS and the knowledge to operate it. This select group will hold the keys to rebuilding society and will become, in effect, post-collapse philosopher-kings.

Just start coding, and you’ll figure out the rest as you go. Security is always a concern, but it’s especially important when you’re automating things. If your automation scripts have vulnerabilities, attackers can exploit them to gain access to your systems.

However, Modular recently decided to open-source Mojo’s core components under a customized version of the Apache 2 license. This move will likely accelerate Mojo’s adoption and foster a more vibrant ecosystem of collaboration and innovation, similar to how open source has been a key factor in the success of languages like Python. According to Mojo’s creator, Modular, the language has already garnered an impressive user base of over 175,000 developers and 50,000 organizations since it was made generally available last August. The good news is opportunities abound, no matter your programming background, for those with a growth mindset and the right combination of soft skills. It comes down to your own work style, skills, and preferences — are you someone who likes to ship features and try things out?

Yes, Java remains a top choice for building scalable, enterprise-level cloud applications. Python is widely used for cloud automation due to its simple syntax and strong library support. Go is great for cloud apps because it’s quick and handles a lot at once. Node.js is effective for both frontend and backend development. Choosing the best coding language is important for cloud computing. For many businesses cloud computing is essential – it gives them the ability to grow easily, store tons of information, and access it anywhere.