![]() While not as trendy as it once was, Java is still the most popular programming language by virtually any measure. So choosing a language isn’t a matter of which one the machine will like more, but one of meeting a developer’s requirements for clearly conveying a task to the machine in terms that the developer understands. Practically speaking, remember, language tools eventually turn whatever programmers create into machine code. Which language is ultimately more productive typically depends on the developer’s experience with the language, coding style, and application-development requirements. Most of these arguments use different approaches to prove their point, making for not-very-useful apples-to-oranges comparisons. Others have opposing views about the productivity issue. For example, some people claim that a developer can be five to ten times more productive in Python because Python supports, among other things, dynamic typing. Programmers endlessly debate the merits of the two languages in other ways, as well. More to the point, perhaps, many developers rely on IDEs, coding environments, and templates, which makes the issue far less important. In most cases, though, the issue really comes down to a matter of personal preference. Theoretically, they also have an impact on the skill level required to learn the language. These structural differences can affect how programmers view the languages and the speed at which a programmer can type them. Proper indentation is not just for beauty here - it determines code execution.” FreeCodeCamp calls Python code “neat, readable, and well structured. Python uses indentation to perform the same tasks. When creating a structure in Java, you enclose it in braces. The two languages are also written differently. For example, Python is more adept at running in massively parallel mode on GPUs. Whether one language is faster than another depends-among other things-on the environment in which they’re used. Even as arguments rage over whether compiled code is faster to execute than interpreted code, for example, the truth is typically more nuanced. This difference gives each language particular benefits and drawbacks. Some of these differences are objective and not open to debate, while others are a matter of opinion, usage preference, or programming environment.įor example, Java is a compiled language and Python is an interpreted language. Obviously, some libraries are more popular than others, and some appear in nearly every application of any consequence at some point.īut Java and Python are also very different from a number of perspectives. In fact, no one may truly know the bounds of the library support for either language because no one person could try them all. If you can’t do something with the native language itself, you can very likely find a library to provide the required support. Both are powerful programming languages, for example, with large, devoted communities and a huge array of libraries supported by legions of developers. First off, despite that Instagram joke, it’s important to remember that Java and Python share important similarities as well as key differences.
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