This project contains 100 problems that can be solved using the Pandas library. Each problem has a corresponding Python script in the problems directory, a CSV data file in the data directory, and a solution script in the solutions directory.
pandas-100-problems
├── problems
│ ├── problem_01.py
│ ├── problem_02.py
│ ├── ...
│ └── problem_100.py
├── data
│ ├── data_01.csv
│ ├── data_02.csv
│ ├── ...
│ └── data_100.csv
├── solutions
│ ├── solution_01.py
│ ├── solution_02.py
│ ├── ...
│ └── solution_100.py
├── .gitignore
├── requirements.txt
└── README.md
The problems directory contains 100 Python scripts, each named problem_X.py, where X is the problem number. These scripts use the Pandas library to solve a specific problem.
The data directory contains 100 CSV files, each named data_X.csv, where X is the problem number. These files contain the data required for the corresponding problem script.
The solutions directory contains 100 Python scripts, each named solution_X.py, where X is the problem number. These scripts provide the solution to the corresponding problem using the Pandas library.
The .gitignore file specifies which files and directories should be ignored by Git version control. It is used to exclude files that are not necessary for the project's source code.
The requirements.txt file lists the dependencies required for the project. It specifies the version of the Pandas library that should be installed.
To solve a specific problem, you can run the corresponding problem script from the problems directory. Make sure you have the required data file in the data directory.
To check the solution for a problem, you can run the corresponding solution script from the solutions directory. The solution script will use the problem script and the data file to provide the solution using the Pandas library.
Feel free to explore the project and solve the problems using the Pandas library!
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