Learn everything about the Python DateTime module and Pandas DataFrames required to handle time series data efficiently.

1. Creating datetime objects
2. Creating timedelta objects
3. Operations on datetime objects
4. Modifying datetime objects
5. Converting a datetime object to a string
6. Creating a datetime object from a string
7. The datetime object and time zones
8. Creating a pandas.DataFrame object
9. DataFrame manipulation: renaming, rearranging, reversing, and slicing
10. DataFrame manipulation: applying, sorting, iterating and concatenating
11. Converting a DataFrame into other formats
12. Creating a DataFrame from other formats

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• Python 3.7+
• Additional Python Packages required for this chapter can be installed as follows -

$ source <virtualenv>           # optional, if you use a virtualenv
$ cd <path-to-this-folder>
$ pip install -r requirements.txt