LeetCode answers for the 30 Days of Pandas challenge.
Solutions will be provided in both Pandas (Python) and SQL formats.
- Data Filtering
- String Methods
- Still String
- Data Manipulation
- Statistics
- Calculation
- Data Aggregation
- Data Integration
- Additional
| Day | Problem Title |
|---|---|
| 1 | Big Countries |
| 2 | Recyclable and Low Fat Products |
| 3 | Customers Who Never Order |
| 4 | Article Views I |
| Day | Problem Title |
|---|---|
| 5 | Invalid Tweets |
| 6 | Calculate Special Bonus |
| 7 | Fix Names in Tables |
| 8 | Find Users with Valid E-Mails |
| 9 | Patients with a Condition |
| Day | Problem Title |
|---|---|
| 10 | Count Occurrences in Text |
| Day | Problem Title |
|---|---|
| 11 | Nth Highest Salary |
| 12 | Second Highest Salary |
| 13 | Department Highest Salary |
| 14 | Rank Scores |
| 15 | Delete Duplicate Emails |
| 16 | Rearrange Products Table |
| Day | Problem Title |
|---|---|
| 17 | The Number of Rich Customers |
| 18 | Immediate Food Delivery I |
| 19 | Count Salary Categories |
| Day | Problem Title |
|---|---|
| 20 | Ads Performance |
| Day | Problem Title |
|---|---|
| 33 | Accepted Candidates from the Interviews |
- LeetCode: @lymphoidcell
- LinkedIn: Theophanie Scholastica Tanzil
- Email: [email protected]
- Programming Languages: Python, SQL
- Libraries & Frameworks: Pandas, NumPy
- Version Control: Git, GitHub
- Databases: MySQL, PostgreSQL
This repository contains solutions to the "30 Days of Pandas" challenge on LeetCode. Each day focuses on different aspects of data manipulation and analysis using Pandas and SQL. The goal is to enhance proficiency in data handling, querying, and problem-solving using these powerful tools.
Feel free to explore the solutions, contribute, and collaborate!
Follow this repository to stay updated with the latest solutions and improvements. Contributions and feedback are always welcome!