This is the repository for my attempt of the exercises of the Arewa Data Science 30 Days of Python, part of stage one of the Arewa Data Science fellowship programme. The breakdown of topics covered are as follows:
| Day | Topic/Concept |
|---|---|
| 1 | Introduction |
| 2 | Variables_builtin_functions |
| 3 | Operators |
| 4 | Strings |
| 5 | Lists |
| 6 | Tuples |
| 7 | Sets |
| 8 | Dictionaries |
| 9 | Conditionals |
| 10 | Loops |
| 11 | Functions |
| 12 | Modules |
| 13 | List_comprehension |
| 14 | Higher_order_functions |
| 15 | Python_type_errors |
| 16 | Python_date_time |
| 17 | Exception_handling |
| 18 | Regular_expressions |
| 19 | File_handling/python for web |
| 20 | Python_package_manager |
| 21 | Classes_and_objects |
| 22 | Web_scraping |
| 23 | Virtual_environment |
| 24 | Statistics |
| 25 | Pandas |
| 26 | Python_web |
| 27 | Python_with_mongodb |
| 28 | API building |
| 29 | Building_API final |
| 30 | Conclusions |
The aim is to provide a good background in the Python programming language as a foundation for data science or other use cases.