Programming in Python

Chapter 4: Programming in Python SEE Computer Science - CDC New Curriculum 2083. This chapter covers Python basics, functions, libraries, graphics, file handling and data visualization. 📌 On This Page 4.1 Revision of Basics of Python 4.2 User Defined Functions 4.3 Concept of Libraries and Packages in Python 4.4 Graphics Using Turtle 4.5 Error Handling 4.6 File Handling Using Pandas Library 4.7 Data Visualization Practical Tasks Project Work 4.1 Revision of Basics of Python This section covers input/output statements, variables, data types, operators, conditional statements and loops. 4.2 User Defined Functions Functions help divide programs into reusable blocks. Python functions are created using the def keyword. 4.3 Concept of Libraries and Packages in Python Libraries provide ready-made functions and classes that help programmers develop programs faster. Library Purpose Math Mathematical calculations Random Random number generation Pandas Data handling Turtle Graphics Matplotlib Data visualization 4.4 Graphics Using Turtle Turtle is used to create drawings and graphics using Python commands. 4.5 Error Handling Python uses try, except, else and finally blocks to handle runtime errors. 4.6 File Handling Using Pandas Library Pandas helps read, write and analyse data files such as CSV files. 4.7 Introduction to Data Visualization Matplotlib can be used to create line charts, pie charts and bar graphs. 🛠 Practical Tasks Demonstrate user defined functions. Install and use Python packages. Create graphics using Turtle. Read and write CSV files using Pandas. Create charts using Matplotlib. 🚀 Project Work Develop a simple Python project using functions, libraries and visualization tools. Prepare a report describing the development process.