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https://github.com/code-lucidal58/leetcode-pandas

Leetcode questions under Pandas Explore Card
https://github.com/code-lucidal58/leetcode-pandas

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Leetcode questions under Pandas Explore Card

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# leetcode-pandas
Leetcode questions under Pandas Explore Card

### Data Filtering
* [Big Countries](https://leetcode.com/problems/big-countries) | [Solution](./big_countries.py)
* [Recyclable and Low Fat Products](https://leetcode.com/problems/recyclable-and-low-fat-products) | [Solution](./recyclable_and_low_fat_products.py)
* [Customers Who Never Order](https://leetcode.com/problems/customers-who-never-order) | [Solution](./customers_who_never_order.py)
* [Article Views I](https://leetcode.com/problems/article-views-i) | [Solution](./article_view_i.py)
### String Manipulation
* [Invalid Tweets](https://leetcode.com/problems/invalid-tweets) | [Solution](./invalid_tweets.py)
* [Calculate Special Bonus](https://leetcode.com/problems/calculate-special-bonus) | [Solution](./calculate_special_bonus.py)
* [Fix Names in a Table](https://leetcode.com/problems/fix-names-in-a-table) | [Solution](./fix_names_in_a_table.py)
* [Find Users with Valid Emails](https://leetcode.com/problems/find-users-with-valid-e-mails) | [Solution](./find_users_with_valid_emails.py)
* [Patients With a Condition](https://leetcode.com/problems/patients-with-a-condition) | [Solution](./patients_with_a_condition.py)
### Data Manipulation
* [Nth Highest Salary](https://leetcode.com/problems/nth-highest-salary) | [Solution](./nth_highest_salary.py)
* [Second Highest Salary](https://leetcode.com/problems/second-highest-salary) | [Solution](./second_highest_salary.py)
* [Department Highest Salary](https://leetcode.com/problems/department-highest-salary) | [Solution](./department_highest_salary.py)
* [Rank Scores](https://leetcode.com/problems/rank-scores) | [Solution](./rank_scores.py)
* [Delete Duplicate Emails](https://leetcode.com/problems/delete-duplicate-emails) | [Solution](./delete_duplicate_emails.py)
* [Rearrange Products Table]() | [Solution](./rearrange_products_table.py)
### Statistics
* [The Number of Rich Customers]() | [Solution]()
* []() | [Solution]()