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Python is an amazing and one of the most popular programming languages. The python development community has built many libraries and functions that can make many things easier. But unfortunately it is not possible to know them all... No worries! I made this prompt special for you!
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Over 1 month ago
Prompt Details
Model
Completion - GPT-3.5 (text-davinci-003)
Token size
34 ($0.00070 / call)
Example input
Complicated calculations on matrixes
Example output
1. NumPy: NumPy is a popular Python library for scientific computing. It provides a powerful N-dimensional array object and many functions to manipulate and perform calculations on arrays. It is the best library for performing complicated calculations on matrixes as it provides a wide range of mathematical functions to operate on those arrays.
2. SciPy: SciPy is another popular Python library for scientific computing. It is built on top of NumPy and provides a wide range of functions for numerical integration, optimization, linear algebra, and statistics. It is also a great choice for performing complicated calculations on matrixes.
3. Pandas: Pandas is a popular library for data analysis and manipulation. It provides a powerful DataFrame object for working with tabular and matrix data. It has powerful functions for performing calculations on matrixes, such as matrix multiplication, matrix inversion, and matrix decomposition.
4. TensorFlow: TensorFlow is an open source software library for numerical computation using data flow graphs. It is a great choice for performing complex calculations on matrixes as it provides powerful operations for dealing with matrices.
5. PyTorch: PyTorch is an open source machine learning library for Python. It provides powerful functions for performing calculations on matrixes, such as matrix multiplication, matrix inversion, and matrix decomposition. It also provides many other tools for deep learning and machine learning.
The best library for performing complicated calculations on matrixes is NumPy. It provides the most comprehensive set of functions and is the most popular library for scientific computing.