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Co-authored-by: nilbuild <4921183+nilbuild@users.noreply.github.com>
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src/data/roadmaps/python-data-analysis/content/array-operations@qOZ-T7zaPjvIT222rSV4o.md
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Visit the following resources to learn more:
- [@article@NumPy Arithmetic Array Operations](https://www.programiz.com/python-programming/numpy/basic-array-operations)
- [@video@Ultimate Guide to NumPy Arrays](https://www.youtube.com/watch?v=lLRBYKwP8GQ)
- [@article@Doing Math with Arrays](https://towardsdatascience.com/introducing-numpy-part-4-doing-math-with-arrays-5e77ac595641/)
- [@article@Doing Math with Arrays](https://towardsdatascience.com/introducing-numpy-part-4-doing-math-with-arrays-5e77ac595641/)
- [@video@Ultimate Guide to NumPy Arrays](https://www.youtube.com/watch?v=lLRBYKwP8GQ)
src/data/roadmaps/python-data-analysis/content/dictionaries@lReYQM-p8rrYcHkaqzbMr.md
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- [@official@Dictionaries](https://docs.python.org/3/tutorial/datastructures.html#dictionaries)
- [@article@Hashmaps in Python: Master Implementation and Use Cases](https://roadmap.sh/python/hashmap)
- [@article@Python KeyError Exceptions: Causes and Fixes](https://roadmap.sh/python/keyerror)
- [@video@Python dictionaries are easy 📙](https://www.youtube.com/watch?v=MZZSMaEAC2g)
src/data/roadmaps/python-data-analysis/content/null@GidLncxwx7d1QzAOfHRLX.md
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# Null Values
Null values represent missing or undefined data within a dataset, signaling that a specific observation or entry is absent. In Python, this is typically represented by `None`, while libraries like pandas utilize `NaN` (Not a Number) to denote missing numeric information. Handling these values is a fundamental step in data cleaning, as they must be identified and addressed to ensure that statistical calculations and machine learning models perform accurately.
Visit the following resources to learn more:
- [@article@Python Null (None): Guide to Missing Values and NoneType](https://roadmap.sh/python/null#the-most-common-uses-of-none)
- [@article@Null in Python: Understanding Python's NoneType Object](https://realpython.com/null-in-python/)