The most popular programming language has long established itself in the world of blockchain and cryptocurrencies. Let’s briefly describe the main libraries and projects in Python.
Programming in the Industry It is hard to imagine how much our lives depend on software code. The crypto world largely exists thanks to it. There are many programming languages in the world, many of which are widely used by crypto projects, and some have even been specifically created for this environment. Yes, Bitcoin’s code was written in C++, but since its inception, many other projects have emerged, implemented in various programming languages. And Python is far from the last. Rather, it is at the forefront of blockchain development. Python is the most popular programming language in the world. Popularity rankings place Python first by a large margin (for example: Tiobe or PYPL). But, as is known, the cryptocurrency industry has its own specifics. Is Python good enough to fully conquer this area of human activity?
Existing Python Projects Despite the fact that Python is not an obvious candidate language for creating blockchains (as preference is usually given to others), there are several cryptocurrencies written specifically in Python. Chia. A cryptocurrency in which farming (equivalent to mining in Chia terminology) is based on the amount of allocated memory. The code is written in Python. Chia offers a unique consensus algorithm – Proof of SpaceTime (PoSt). It also supports smart contracts. Lamden – a high-performance blockchain platform based on Python for creating decentralized applications (dApps). Bittensor – a decentralized project dedicated to AI and machine learning. As Python is extremely popular in these areas of science, it’s not surprising that Bittensor uses Python in the operation of its decentralized ecosystem. Although it is quite difficult to name major projects in the world of cryptocurrencies that have been entirely written in Python, its significance should not be underestimated. Many smaller projects actively utilize this language. And, given the number of Python programmers, it is easy to assume that the number of such projects will only continue to grow.