Just as php python is a widely used easy to read and write on-the-fly interpreted language.
performance?
performance in the sense of data throughput or amount of prime numbers per second but it is also: how long will a user or other process have to wait for that data to be processed and request to finish?
Machines can wait, but humans should never have to wait for machines, because their time is limited.
in terms of speed-of-data-processing the top list is like:
- C still (mostly) holds the performance crown 😀
- C++ and RUST (C++ often being faster, but RUST more (memory-wise) secure)
- GO (yes it is really a bit slower than RUST, wow who would have thought that?)
- PHP
- Python
(there is an interesting site that tries to benchmark languages by performance)
But if the large data can be processed incremental in smaller parts (process part A, maybe output A, process next part B…) also python and php can process GBytes of data.
more detailed list:
| source code | secs | mem | gz | |||
|---|---|---|---|---|---|---|
| Intel C | 23.34 | 11,052 | 427 | |||
| C gcc #2 | 25.22 | 11,112 | 406 | |||
| C gcc | 26.27 | 11,112 | 427 | |||
| Go #2 | 26.53 | 11,112 | 494 | |||
| Go | 27.22 | 11,112 | 462 | |||
| Java | 29.53 | 41,244 | 439 | |||
| C# .NET | 47.52 | 30,452 | 465 | |||
| PHP #2 | 143.01 | 12,992 | 391 | |||
| PHP #3 | 163.38 | 13,004 | 412 | |||
| PHP | 204.22 | 12,976 | 384 | |||
| Ruby #2 | 19 min | 25,596 | 307 | |||
| Ruby | 20 min | 25,492 | 335 | |||
| Python 3 #3 | 23 min | 11,064 | 384 | |||
| Python 3 #2 | 30 min | 11,192 | 330 | |||
| Python 3 | 1h 03 min | 11,032 | 373 | |||
| Matz’s Ruby | 2h 35 min | 11,052 | 335 | |||
| Matz’s Ruby #2 | 3h 13 min | 11,056 | 307 |
conclusion:
speed matters but does this mean that php and python are bad just because they are slow?
no they have their specific use-case, such as python is heavily used for automation, while php is heavily used for web development.
And while a website embedded into a webserver written in c would give the MOST speed, most devs would POSSIBLY use the tested-over-many-years-of-time-LAMP setup.
PS: How to convert Python code to Cython (and speed up 100x)?
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