Installation of SciPy
To install SciPy in your system, you can use Python package manager pip. Before proceeding, make sure that you have Python already installed in your system. Here’s the step to install Python in your system.
Step 1: Firstly, Open terminal and Command Prompt in your system.
Step 2: Run the installation Command to install SciPy in your system.
pip install scipy
Step 3: Pip will be download and install SciPy along with dependencies. This process will may take some time depends on internet connection.
Step 4: To verify installation, you need to import SciPy in a Python script or interactive shell.
import scipy
print(scipy.__version__)
Now the installation of SciPy is successfully completed.
Data Analysis with SciPy
Scipy is a Python library useful for solving many mathematical equations and algorithms. It is designed on the top of Numpy library that gives more extension of finding scientific mathematical formulae like Matrix Rank, Inverse, polynomial equations, LU Decomposition, etc. Using its high-level functions will significantly reduce the complexity of the code and helps better in analyzing the data.
In this article, we will explore What is SciPy, the Installation of SciPy, and How Data Analysis with SciPy works and Compute pivoted LU decomposition.
Table of Content
- What is SciPy?
- Installation of SciPy
- How does Data Analysis work with SciPy?
- Import SciPy
- Linear Algebra
- Compute pivoted LU decomposition of a Matrix
- Eigen values and Eigen vectors of this matrix
- Sparse Linear Algebra
- Linear Algebra for Sparse Matrices