Instead of loops: 3 Python life hacks Developers and data scie | Big Data Science

Instead of loops: 3 Python life hacks
Developers and data scientists know that loops in Python are slow. Instead, you can use possible alternatives:
• Map - apply a function to each value of an iterable object(list, tuple, etc. ).
• Filter - to filter out values from an iterable object (list, tuple, sets, etc.). The filtering conditions are set inside a function which is passed as an argument to the filter function.
• Reduce – this function is a bit different from the map and filter functions. It is applied iteratively to all the values of the iterable object and returns only one value.
Examples: https://medium.com/codex/3-most-efficient-yet-underutilized-functions-in-python-d865ffaca0bb