Help us collect modern Python NumPy code solutions
1–10 of 41 posts
Re: Help us collect modern Python NumPy code solutions
#2For almost all issues, you can simply search for site:stackoverflow.com + the title of the issue and get a larger variety of solutions ranked by upvotes, so this repository seems strictly worse.
Is there any advantage that this repository brings over just searching for the question on StackOverflow?
Re: Help us collect modern Python NumPy code solutions
#3For almost all issues, you can simply search for site:stackoverflow.com + the title of the issue and get a larger variety of solutions ranked by upvotes, so this repository seems strictly worse. Is there any advantage that this repository brings over just searching for the question on StackOverflow?
I didn’t review all of the code, but the examples I saw seemed to have some basic explanations with them. Additionally, they have samples for a lot of different technologies. A curated repo seems much nicer than scoring several StackOverflow answers. Depends on the code quality, of course.
Re: Help us collect modern Python NumPy code solutions
#4#write a function that zips numpy arrays
import numpy as np
def zip_arrays(arrays):
return np.array([np.concatenate(arr) for arr in zip(*arrays)])Re: Help us collect modern Python NumPy code solutions
#5Would it be useful to add a Julia section?
Re: Help us collect modern Python NumPy code solutions
#6For almost all issues, you can simply search for site:stackoverflow.com + the title of the issue and get a larger variety of solutions ranked by upvotes, so this repository seems strictly worse. Is there any advantage that this repository brings over just searching for the question on StackOverflow?
I didn’t review all of the code, but the examples I saw seemed to have some basic explanations with them. Additionally, they have samples for a lot of different technologies. A curated repo seems much nicer than scoring several StackOverflow answers. Depends on the code quality, of course.
I looked at the C# ones - the code is not great and neither are the explanations, both show a lack of experience in C# and .NET.
How to reverse the characters in a string
String.Join("",("1234Simple").Select(c=>c).Reverse());
- String.Join("", - concatenate one or more characters in a single list or array, by using empty "" string literal separator
- .Select(c=>c) - select each and every other character in a string into an array of characters
- .Reverse() - reverse each and every one elements in an array or list*
new String("1234Simple".Reverse().ToArray())
Also the explanation are not very accurate and show a lack of understanding of the .NET collection type architecture and how array, list and enumeration types fit together.
How to reverse the words in a phrase
("This tests that").Split(' ').Aggregate((a,b) => b + " " + a);
- .Split(' ') - splits a string by using a space ' ' separator
- .Aggregate - gather every one other element a, in an element list to a target element b
- (a,b) => b + " " + a - arrow function taking input arguments (a,b) used to concatenate b gathered character argument in the list in reverse with " " space separator to the targeted character argument a
String.Join(" ", "This tests that".Split(' ').Reverse())
How to retrieve numeric fibonacci list up to 10
List Fib = new List(); Enumerable.Range(0,10).ToList().ForEach(n => (Fib).Add(n (Fib).Add - arrow function used to add an item n to enumerable list Fib based on a condition for every one item in the list
- n Enumerable.Range(0, 10).Select(n => (Int64)(0.5 + Math.Pow((1 + Math.Sqrt(5)) / 2, n) / Math.Sqrt(5)))
Enumerable.Range(0, 10).Select(n => (Int64)(0.5 + Pow((1 + Sqrt(5)) / 2, n) / Sqrt(5)))
Re: Help us collect modern Python NumPy code solutions
#7Just had a quick look at a few of the python examples:
- it might be neat, but advocating for `eval(input())` [0] might not be the safest solution for this problem, especially without explaining the dangers of `eval` (assuming this site is partially aimed at beginners?)
- for an article titled 'how to terminate a script', the suggested method (`quit()`) [1] is specifically described in the official python docs [2] as code that "should not be used in programs".
[0]: https://onelinerhub.com/python/calculator [1]: https://onelinerhub.com/python/how-to-terminate-script [2]: https://docs.python.org/3/library/constants.html#constants-a...
Re: Help us collect modern Python NumPy code solutions
#8For almost all issues, you can simply search for site:stackoverflow.com + the title of the issue and get a larger variety of solutions ranked by upvotes, so this repository seems strictly worse. Is there any advantage that this repository brings over just searching for the question on StackOverflow?
The README explains that they want a single curated answer, not a list of 15 answers with 25 comments. This does seem worthwhile, at least for some types of questions.
Re: Help us collect modern Python NumPy code solutions
#9#write a function that zips numpy arrays import numpy as np def zip_arrays(arrays): return np.array([np.concatenate(arr) for arr in zip(*arrays)])
>>> arrays = [np.arange(1000)]*10
>>> zip_arrays(arrays)
Traceback (most recent call last):
File "", line 1, in
File "", line 2, in zip_arrays2
File "", line 2, in
File "", line 180, in concatenate
Try this:
def zip_arrays(arrays):
return np.concatenate([array[:l,...,None] for l in [min(array.shape[0] for array in arrays)] for array in arrays], axis=-1)
def zip_arrays(arrays):
l = min(a.shape[0] for a in arrays)
arrays = [a[:l, ..., None] for a in arrays]
return np.concatenate(arrays)Re: Help us collect modern Python NumPy code solutions
#10I learned J before NumPy and I'm glad I did, because it's much easier to see and learn the algorithms when they're short symbols.
Compare
np.sqrt(sum(np.square(x)))
%: +/ *: x
For example: J Phrases[0] (organized by category), BQNcrate[1] and APLcart[2] (searchable).
[0]: https://www.jsoftware.com/help/phrases/sums_means.htm [1]: https://mlochbaum.github.io/bqncrate [2]: https://aplcart.info/