- Subject Code :
- Faculty: Mr Guranna Gouda (Assistant Professor)
- Semester: 4
- Year: 2023
- Divisions (under direct tutelage): 4B17,4B18,4B19
| Unit--1 | Name | Lecture Material | PPT Materials |
|---|---|---|---|
| 1 | Introduction to Python | Unit 1 Python Introduction | PPT Materials |
| 2 | Data types & Variables | Unit 1 Material | PPT Materials |
| 3 | Operators | Unit 1 Material | PPT Materials |
| 4 | Conditional Statements | Unit 1 Material | PPT Materials |
| 5 | Iterative Statements and Loops | Unit 1 Material | PPT Materials |
| 6 | Lists | Unit 1 Material | PPT Materials |
| 7 | Tuples | Unit 1 Material | PPT Materials |
| 7 | Sequences, Dictionaries ,set | Unit 1 Material | PPT Materials |
EDA Hands-On
| Sl no | Dataset | Solution |
|---|---|---|
| 1 | Iris | |
| 2 | Titanic | Titanic_EDA |
| 3 | IPL 2008-2022 matches dataset | IPL EDA |
EDA Practice Problems
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Pandas Exercise 2 Soln (Temp)
prices = [float(value[1 : -1]) for value in chipo.item_price]
# reassign the column with the cleaned prices
chipo.item_price = prices
# delete the duplicates in item_name and quantity
chipo_filtered = chipo.drop_duplicates(['item_name','quantity','choice_description'])
# chipo_filtered
# select only the products with quantity equals to 1
chipo_one_prod = chipo_filtered[chipo_filtered.quantity == 1]
chipo_one_prod