What Exactly is Digital Marketing and How Does It Work?

  Data science is a field that involves using statistical and computational techniques to extract insights and knowledge from data. Python is a popular programming language for data science, and there are a number of libraries that are particularly useful for tasks such as data manipulation, analysis, visualisation, and machine learning. Top 5 Python Libraries for Data Science : NumPy Pandas Matplotlib  Scikit-learn  TensorFlow NumPy NumPy is a Python library for manipulating large, multi-dimensional numerical arrays and matrices.It provides a number of functions for performing mathematical operations on these arrays, such as linear algebra, statistical analysis, and more.  NumPy is a fundamental library for scientific computing with Python and is often used in conjunction with other libraries, such as Pandas and Matplotlib. Pandas Pandas is a library for data manipulation and analysis. It provides a number of functions for reading and writing data, as well as tools ...