NumPy is an open-source extension to Python that adds support for multidimensional arrays of large sizes. This support allows the desired acquisition, storage, and complex manipulation of data mentioned previously. NumPy alone is a great tool to solve many numerical computations. On top of NumPy, another open-source library to Python is SciPy. This library contains algorithms and mathematical tools to manipulate NumPy objects, with very definite scientific and engineering objectives. The combination of Python, NumPy, and SciPy has been the environment of choice of many applied mathematicians for years.
By attending NumPy and SciPy workshop, delegates will learn:
- Numpy
- Matplotlib
- Scipy
- SciPy Optmization Module
- SciPy Linear Algebra Module
- SciPy Statistics Module
- SciPY Signal Processing Module
- SciPY Image Processing Module
- Basic Python
- This NumPy and SciPy training course is for the Scientists, Engineers, Programmers, or Analysts looking for a high-quality, open source mathematical library.