NumPy (Numerical Python) is a fundamental library for scientific computing and data analysis in Python. It provides support for multi-dimensional arrays, mathematical functions, and linear algebra operations, making it essential for data science and machine learning projects.
Efficient handling of large, multi-dimensional arrays
Fast mathematical operations and broadcasting support
Integration with machine learning libraries like TensorFlow and PyTorch
Optimized for performance using C and Fortran
Seamless support for data manipulation and analysis
Scientific computing and mathematical modeling
Machine learning preprocessing and data manipulation
Big data analysis with high-speed computations
Image processing and computer vision applications
Dejan Velimirovic
Full-Stack Software Developer
Previously at
Stefan Mićić
Machine Learning Developer and Data Engineer
Milena Brankovic
Fullstack Developer
Previously at
Aleksa Stevic
Full-Stack Developer
Previously at
Aleksandar Pavlović
Data Scientist
Nemanja Milićević
Data Scientist
Darko Simic
Fullstack Developer
Previously at
Marko Tadic
iOS Developer
Previously at
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