Python
The reason why Python is such an easy to learn language for beginners is due to the fact that Python code looks a lot like English code. This in turn helps make it one of the most popular languages to use today for many reasons including, creating backend scripts, building backends, using data analysis programs, and working on machine learning. Due to this simple and clean style of coding there will be much less "noise" in your coding which means you can see exactly what you are doing as you go, allowing you to easily see where things need to be changed. As well as being a great way to get started, another large advantage of Python is that its libraries (packages) have been growing at such a rate that even during a testing period you will rarely run into issues that slow down your development time.
Little code that is clear at a glance.
A huge standard library, plus an ecosystem of community packages.
A beast for data analysis and pushing through dull manual steps.
Popular for a reason
The TIOBE Index placed Python as #3 for all of 2020; it has been #1 since late 2021. Once we look into those two areas of strength, we can see how fast Python was able to move up, with data (Big Data) and machine learning being a couple big reasons.
The power of Python
A Python code will typically be about one third of the size for an equivalent code written in some other language. This leads to a shorter development time. Applications can quickly come together and there are fewer review cycles since everyone can immediately see where a developer has left off and picked back up again. The advantages also extend beyond just the build process. Consider an app that needs to handle large amounts of data and loop over this information many times. The concise nature of Python can prevent the large amount of requested information from being sent to the user and therefore keep the app responsive.
These companies reap the benefits of Python
Python seems to show up everywhere once you look at who processes data at scale. Disney and Sony DreamWorks render their animations and films with it, Spotify leans on it for the Glossary · In briefbackendThe backend is the part of an application that processes data, applies business rules and communicates with other systems on the server. Users usually access it through a frontend or API.Read more and for analyzing what their users do. Uber predicts wait times with it. Even Instagram's complete backend runs on it. Parties that do not serve audiences of tens of millions also discover that Python handles data streams without trouble. NASA trusts it to process and organize a lot of their data.
An all-rounder or not quite?
Now are you going to use Python for every thing? I'm sure it is a great language as it has many of the things that we mentioned above. However, like all things in life there's always another side to the coin. One of the best features of Python is how quickly you can get a program running due to its small and concise syntax. On the other hand one of the worst feature is its lack of Glossary · In brieftype safetyType safety is the extent to which a programming language prevents values from being used in ways incompatible with their types. Checks can identify such errors during coding, compilation or execution.Read more. This difference will result in you needing to write an additional layer of automated testing around your code so that it can be relied upon (stable) for long periods of time. Automated testing does take a lot of work especially if your project(s) are large. See also TypeScript.
Key takeaways
You pick up Python relatively quickly, even as a developer with less experience.
Compatible with services such as AWS.
Enormous library with ready-made modules.
Data processing, that is where it is truly enormously strong. If you prefer to focus on something else, other languages make more sense.
Chasing memory efficiency fits Python less well.