15. Python Packages - CBSE 10 AI (Artificial Intelleigence)

Python Packages

Python packages play a crucial role in organizing and reusing code efficiently. They allow developers to access a wide range of powerful tools and libraries that enhance productivity in Python programming, particularly in fields like Artificial Intelligence and Data Science. Additionally, creating custom packages helps streamline code management, ensuring better organization and reusability.

Chapter 1515 sections

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Sections

15 sections

About this chapter

Learning objectives

A Python package is a collection of modules used to organize and reuse code.
Pip is the standard tool for installing Python packages.
You can import packages into your programs to access various functions and tools.
Common packages like NumPy, Pandas, and Matplotlib are essential in AI and Data Science.
You can also create your own packages for better code management.

Key concepts

Python Package

A collection of Python modules organized in a directory with an init.py file for easier management.

Pip

The package installer for Python, used to install and manage software packages written in Python.

NumPy

A library used for numerical operations and array handling that is efficient for mathematical computations.

Pandas

A library used for data manipulation and analysis, particularly for structured data like tables.

Matplotlib

A plotting library for creating static, animated, and interactive visualizations in Python.

Creating Custom Packages

The process of building your own package by organizing modules and making them reusable.

Chapter exercises

2+ questions

Total Questions

Estimated Time

4 min

Passing Score

70%

Instructions

Read each question carefully
You can use hints if you need help
Complete all questions before submitting

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