• # Myths About Brain And Learning

Good day CheckiO users!

Psychology is a fascinating science that provides us with information concerning human behavior, communication, intelligence, etc. This data can be very useful in everyday life if you actually apply it. But the one problem is, not everything that is considered a known fact from this field is actually proven by scientific evidence. There is a huge amount of theories that are completely wrong, but are so widespread that are being taken at face value. Some of those ideas are quite innocent even though misleading, but on others people might base their views and practices. In order to dispel them forever, we've created a list of Myths About Brain And Learning. Hope you'll enjoy it and give us your feedback.

Challenge yourself with our latest missions:

The first mission is called "Majority" and here you need to check whether all the elements in the given list are true.

```is_majority([True, True, False, True, False]) == True
is_majority([True, True, False]) == True```

The second is the "Chunk" mission where you have to split the list into smaller lists.

```chunking_by([5, 4, 7, 3, 4, 5, 4], 3) == [[5, 4, 7], [3, 4, 5], [4]]
chunking_by([3, 4, 5], 1) == [[3], [4], [5]]```

The third mission is "Sort Except Zero" and here you must sort the numbers in an array.

```except_zero([5, 3, 0, 0, 4, 1, 4, 0, 7]) == [1, 3, 0, 0, 4, 4, 5, 0, 7]
except_zero([0, 2, 3, 1, 0, 4, 5]) == [0, 1, 2, 3, 0, 4, 5]```
Highlights from the world of Python:
• All you need to know about Contributing to CPython: myths, truths, docs for getting started, choosing your first project, workflow, set-ups, and a lot of other useful stuff. It's worth your time!
• Pandas is one of the most used Python libraries in everyday data processing for Machine Learning and Data Science projects. check out 5 Elegant Python Pandas Functions that are so useful for data scientists and machine learning engineers. You might find something interesting here!
• Readability is one of Python’s greatest attributes. But sometimes we are trying so hard to make the code work, we don't notice what a mess it becomes. See a few simple steps to start cleaning up your Python code. Write Better Python Code Today and it'll save you a lot of time and effort tomorrow!

The users who’ve made the TOP 3 this month are flpo, veky, and Sim0000. You are doing great, guys! Keep on coding!

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