Course Content
Introduction to Programming and Python
Overview of Python History and evolution Python’s features and benefits Set-Up Development Environment Installing Python and IDE (e.g., PyCharm, VS Code) Writing and running your first Python program Hands-On Activity Write a simple Python program to display “Hello, World!”
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Structure Of A Python Program
A comprehensive overview of the structure of a Python program, covering essential concepts efficiently.
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Basic Syntax and Control Statements
Basic Syntax Structure of a Python program Data types, variables, and operators
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Object-Oriented Programming (OOP)
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Python Programming For Beginners
About Lesson

Installing and Using Libraries

  • Installation: Use pip, the Python package installer, to install third-party libraries. bash
    pip install numpy pip install pandas
  • NumPy: A library for numerical computations.
    • Features: Supports large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.

    python

    import numpy as np arr = np.array([1, 2, 3, 4, 5]) print(arr) # Output: [1 2 3 4 5] print(np.mean(arr)) # Output: 3.0
  • Pandas: A library for data manipulation and analysis.
    • Features: Provides data structures like Series and DataFrame for handling structured data.

    python

    import pandas as pd data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]} df = pd.DataFrame(data) print(df) # Output: # Name Age # 0 Alice 25 # 1 Bob 30 # 2 Charlie 35