Arewa Data Science 30 Days of Python
arewadatascience.github.io
--------------------------------------------------------------------------------
example
# π Arewa Data Science Academy Python Programming for Data Science π
|# Module | Topics |
|------|:---------------------------------------------------------:|
| 01 | Introduction|
| 02 | Variables, Built-in Functions|
| 03 | Operators|
| 04 | Strings|
| 05 | Lists, Tuples and Sets|
| 06 | Dictionaries|
| 07 | Conditionals|
| 08 | Loops|
| 09 | Functions, List Comprehensions|
| 10 | Higher Order Functions|
| 11 | Python Type Errors and Exception Handling|
| 12 | Regular Expressions|
| 13 | Python Date time |
| 14 | Modules, Virtual Environment|
| 15 | Python Package Manager|
| 16 | Classes and Objects|
| 17 | Web Scraping|
| 18 | Statistics, NumPy and Pandas|
π§‘π§‘π§‘ HAPPY CODING, Credits to Asabeneh
π§‘π§‘π§‘
- π Arewa Data Science Academy Python Programming for Data Science π
- π Module 1
- Welcome
- Introduction
- Why Python ?
- Environment Setup
- Installing Python
- Python Shell
- Installing Visual Studio Code
- How to use visual studio code
- Basic Python
- Python Syntax
- Python Indentation
- Comments
- Data types
- Number
- String
- Booleans
- List
- Dictionary
- Tuple
- Set
- Checking Data types
- Python File
- π» Exercises - Day 1
- Exercise: Level 1
- Exercise: Level 2
- Exercise: Level 3
# π Module 1
## Welcome
This marks the beginning of the curriculum at Arewa Data Science Academy. We firmly believe that a strong understanding of Python programming will greatly enhance your experience in learning data science and machine learning. In this course, you will be comprehensively taught everything required to become a proficient Python programmer, including Python for data science and the fundamentals of programming. Upon successful completion of this challenge, you will be awarded a certificate of Python Programmer from Arewa Data Sc β¦