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30-seconds-of-code/README.md
Rohit Tanwar ff619190f1 travis_commit
2018-01-18 03:03:42 +00:00

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# 30-seconds-of-python-code
[![License](https://img.shields.io/aur/license/yaourt.svg)](https://github.com/kriadmin/30-seconds-of-python-code/blob/master/LICENSE) [![Gitter chat](https://img.shields.io/badge/chat-on%20gitter-4FB999.svg)](https://gitter.im/30-seconds-of-python-code/Lobby) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](http://makeapullrequest.com) [![Travis Build](https://travis-ci.org/kriadmin/30-seconds-of-python-code.svg?branch=master)](https://travis-ci.org/kriadmin/30-seconds-of-python-code) [![Insight.io](https://img.shields.io/badge/insight.io-Ready-brightgreen.svg)](https://insight.io/github.com/kriadmin/30-seconds-of-python-code/tree/master/?source=0) [![js-semistandard-style](https://img.shields.io/badge/code%20style-semistandard-brightgreen.svg)](https://github.com/Flet/semistandard)
>Python implementation of 30-seconds-of-code.
**Note**:- This is in no way affiliated with the original [30-seconds-of-code](https://github.com/Chalarangelo/30-seconds-of-code/).
### chunk
Chunks an array into smaller lists of a specified size.
Uses `range` to create a list of desired size. Then use `map` on this list and fill it with splices of `arr`.
```python
from math import ceil
def chunk(arr, size):
return list(
map(lambda x: arr[x * size:x * size + size],
list(range(0, ceil(len(arr) / size)))))
```
``` python
chunk([1,2,3,4,5],2) # [[1,2],[3,4],5]
```
### count_occurences
Counts the occurrences of a value in an list.
Uses the `reduce` functin from built-in module `functools` to increment a counter each time you encounter the specific value inside the list.
```python
def count_occurences(arr, val):
return reduce(
(lambda x, y: x + 1 if y == val and type(y) == type(val) else x + 0),
arr)
```
```python
count_occurrences([1, 1, 2, 1, 2, 3], 1) # 3
```
### count_vowels
Retuns `number` of vowels in provided `string`.
Use a regular expression to count the number of vowels `(A, E, I, O, U)` in a string.
```python
import re
def count_vowels(str):
return len(len(re.findall(r'[aeiou]', str, re.IGNORECASE)))
```
``` python
count_vowels('foobar') # 3
count_vowels('gym') # 0
```
### deep_flatten
Deep flattens a list.
Use recursion. Use `list.extend()` with an empty array (`result`) and the spread function to flatten a list. Recursively flatten each element that is a list.
```python
def spread(arg):
ret = []
for i in arg:
if isinstance(i, list):
ret.extend(i)
else:
ret.append(i)
return ret
def deep_flatten(arr):
result = []
result.extend(spread(list(map(lambda x : deep(x) if type(x) == list else x,arr))))
return result
```
```python
deep_flatten([1, [2], [[3], 4], 5]) # [1,2,3,4,5]
```
### gcd
Calculates the greatest common divisor between two or more numbers/lists.
The `helperGcdfunction` uses recursion. Base case is when `y` equals `0`. In this case, return `x`. Otherwise, return the GCD of `y` and the remainder of the division `x/y`.
Uses the reduce function from the inbuilt module `functools`. Also defines a method `spread` for javascript like spreading of lists.
```python
from functools import reduce
def spread(arg):
ret = []
for i in arg:
if isinstance(i, list):
ret.extend(i)
else:
ret.append(i)
return ret
def gcd(*args):
numbers = []
numbers.extend(spread(list(args)))
def _gcd(x, y):
return x if not y else gcd(y, x % y)
return reduce((lambda x, y: _gcd(x, y)), numbers)
```
``` python
gcd(8,36) # 4
```
### lcm
Returns the least common multiple of two or more numbers.
Use the `greatest common divisor (GCD)` formula and the fact that `lcm(x,y) = x * y / gcd(x,y)` to determine the least common multiple. The GCD formula uses recursion.
Uses `reduce` function from the inbuilt module `functools`. Also defines a method `spread` for javascript like spreading of lists.
```python
from functools import reduce
def spread(arg):
ret = []
for i in arg:
if isinstance(i, list):
ret.extend(i)
else:
ret.append(i)
return ret
def lcm(*args):
numbers = []
numbers.extend(spread(list(args)))
def _gcd(x, y):
return x if not y else gcd(y, x % y)
def _lcm(x, y):
return x * y / _gcd(x, y)
return reduce((lambda x, y: _lcm(x, y)), numbers)
```
``` python
lcm(12, 7) # 84
lcm([1, 3, 4], 5) # 60
```
### spread
Implements javascript's spread syntax as a function. Flattens the list(non-deep) and returns an list.
```python
def spread(arg):
ret = []
for i in arg:
if isinstance(i, list):
ret.extend(i)
else:
ret.append(i)
return ret
```
```python
spread([1,2,3,[4,5,6],[7],8,9]) # [1,2,3,4,5,6,7,8,9]
```
## Credits
*Icons made by [Smashicons](https://www.flaticon.com/authors/smashicons) from [www.flaticon.com](https://www.flaticon.com/) is licensed by [CC 3.0 BY](http://creativecommons.org/licenses/by/3.0/).*