# I love enumerate(), but I hate using it with zip() - this function takes care of it
## pip install enummi
#### Tested against Windows 10 / Python 3.10 / Anaconda
### Combining multiple iterables:
It allows you to merge multiple iterables into a single sequence of tuples. This can be useful when you have several related iterables and want to process them together.
### Indexing the tuples:
The function assigns an index value to each tuple, representing the position of the elements in the original iterables. This indexing provides a convenient way to access and reference elements based on their relative positions.
### Generates results on the fly:
As a generator function, enummi generates and yields results one at a time, as they are needed. This lazy evaluation strategy can save memory and computational resources, especially when dealing with large or infinite sequences.
### Flexibility with input:
The function accepts a variable number of iterables as arguments (*args), allowing you to provide any number of iterables to be combined. It can handle different lengths of input iterables and adapt accordingly.
### Compatible with different iterable types:
The function can work with various types of iterables, such as lists, tuples, strings, or any other iterable object. It is not limited to a specific data structure, providing flexibility in terms of input.
### Simple and concise implementation:
The implementation of enummi is relatively straightforward and concise, utilizing built-in Python functions (zip and enumerate) to achieve the desired functionality. This simplicity makes the function easy to understand and maintain.
```python
from enummi import enummi
for i, a, b, c in enummi([1, 2, 3], [4, 5, 6], [7, 8, 9]):
print(i, a, b, c)
Output:
0 1 4 7
1 2 5 8
2 3 6 9
for i, a in enummi([1, 2, 3]):
print(i, a)
Output:
0 1
1 2
2 3
for i, a in enummi([]):
print(i, a)
Output:
(no output)
```
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"description": "\r\n# I love enumerate(), but I hate using it with zip() - this function takes care of it \r\n\r\n## pip install enummi \r\n\r\n#### Tested against Windows 10 / Python 3.10 / Anaconda \r\n\r\n\r\n### Combining multiple iterables: \r\n\r\nIt allows you to merge multiple iterables into a single sequence of tuples. This can be useful when you have several related iterables and want to process them together.\r\n\r\n### Indexing the tuples: \r\n\r\nThe function assigns an index value to each tuple, representing the position of the elements in the original iterables. This indexing provides a convenient way to access and reference elements based on their relative positions.\r\n\r\n### Generates results on the fly: \r\n\r\nAs a generator function, enummi generates and yields results one at a time, as they are needed. This lazy evaluation strategy can save memory and computational resources, especially when dealing with large or infinite sequences.\r\n\r\n### Flexibility with input: \r\n\r\nThe function accepts a variable number of iterables as arguments (*args), allowing you to provide any number of iterables to be combined. It can handle different lengths of input iterables and adapt accordingly.\r\n\r\n### Compatible with different iterable types: \r\n\r\nThe function can work with various types of iterables, such as lists, tuples, strings, or any other iterable object. It is not limited to a specific data structure, providing flexibility in terms of input.\r\n\r\n### Simple and concise implementation: \r\n\r\nThe implementation of enummi is relatively straightforward and concise, utilizing built-in Python functions (zip and enumerate) to achieve the desired functionality. This simplicity makes the function easy to understand and maintain.\r\n\r\n```python\r\nfrom enummi import enummi\r\n\r\nfor i, a, b, c in enummi([1, 2, 3], [4, 5, 6], [7, 8, 9]):\r\n print(i, a, b, c)\r\nOutput:\r\n 0 1 4 7\r\n 1 2 5 8\r\n 2 3 6 9\r\n\r\nfor i, a in enummi([1, 2, 3]):\r\n print(i, a)\r\nOutput:\r\n 0 1\r\n 1 2\r\n 2 3\r\n\r\nfor i, a in enummi([]):\r\n print(i, a)\r\nOutput:\r\n (no output)\r\n```\r\n",
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