Python, the movie. The programming language's origin story comes to the screen
19 hours ago
- #Python
- #Open Source
- #Scientific Computing
- Travis Oliphant developed NumPy in 2005, a library crucial for scientific computing in Python.
- NumPy simplifies and standardizes numeric array treatments, making Python a go-to language for scientific computing.
- Oliphant's work on NumPy and SciPy has influenced numerous Python libraries like Matplotlib, pandas, and scikit-learn.
- NumPy's innovations include backward compatibility, dynamic typing with 'dtype', and universal functions for array operations.
- Despite its success, NumPy lacks native GPU support, limiting its use in modern AI and deep learning applications.
- Oliphant founded Quansight to fund and sustain open-source projects like NumPy and SciPy.
- A documentary titled 'Python: The Documentary' features Oliphant and explores Python's history and impact.