**What are some practical applications for Python?**

Here are some applications for python:

**1) Statistical Computation:** Here SciPy library of python is used. SciPy contains a module for optimization and computation. It provides several statistical distributions and statistical tests.

**2) Data structure operations:** Here Python facilitate us with Pandas library. Pandas provide high performance, easy to use a data structure called Data Frame for exploration and analysis. The Data frame is the key data structure that feeds into most of the statistical and machine learning models.

**3) Visualizations (Heat map, bar plots, etc.):** Python provide Matplotlib library. It is a 2D plotting library. Also, python provides us with the seaborn library. It provides us with a high level interface for drawing attractive statistical graphics.

**4) Mathematical Computation:** For mathematical computation NumPy Python library can be used. NumPy is the fundamental package for scientific computing involving large arrays and metrics. It provides useful mathematical computation capabilities.

**5) Machine Learning Algorithms:** Scikit-learn library provides a range of supervised and unsupervised learning algorithms.

You can also refer to https://cloudxlab.com/blog/?s=python for some practical examples by CloudXLab with python.

Such as

- Analyzing data of the global pandemic – COVID – 19 using Python,
- NumPy and Pandas Tutorial – Data Analysis with Python,
- Python Setup Using Anaconda for Machine Learning and Data Science Tools
- How to run object detection on CCTV feed, etc.