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Fundamentals:

  1. Basics of Programming
  2. Variables and Data Types
  3. Operators
  4. Keywords
  5. Control Structures
  6. Loops
  7. Functions

Data Structures:

  1. Strings

  2. Lists

  3. Tuples

  4. Sets

  5. Dictionaries

  6. Arrays

  7. OOPs Concepts

  8. Exception Handling

  9. File Handling

  10. Modules and Packages

  11. Standard Libraries

Libraries: a. NumPy b. Pandas c. Matplotlib d. Seaborn e. Scikit-learn

To install Python, follow these steps:

  1. www.python.org/downloads

IDE:

  1. Notepad
  2. PyCharm
    • Community Edition
    • Professional Edition
  3. VS Code
  4. Jupyter Notebook
  5. Spyder

''''

  1. Web based applications

  2. Working with data, visualize, cleaning, preprocessing - libraries

  3. Automation

  4. Game development

  5. Desktop applications

  6. Network programming '''

  7. NumPy - Numerical Python

  • perform mathematical and logical operations on arrays
  • multi-dimensional arrays and matrices
  • mathematical functions
  • data analysis and manipulation
  • statistical operations
  • pip install numpy
  • import numpy as np
  • np.array(), np.zeros(), np.ones(), np.arange(), np.linspace()
  • np.mean(), np.median(), np.std(), np.var()
  • list - collections of items (different types), numpy - homogeneous data (same type)