Python Modules (Part 2) | CBSE Class 11 Computer Science | Python Built- in Modules Explained
Python Modules (Part 2) | Exploring Built-in Modules
Welcome to the Part 2 series on Python Modules! We dive into the Standard Built-in Python Modules! This video will cover essential modules like math, random, and statistics, demonstrating their powerful functions and practical applications in Python programming.
Topics Covered:
Standard Built-in Python Modules:
Introduction to commonly used Python modules.
Why and how to use these modules to simplify complex tasks.
Exploring the math Module:
Discover mathematical constants like π (pi) and Euler's number e.
Functions for rounding and power calculations: ceil(), floor(), and pow().
Calculating absolute values and square roots with fabs() and sqrt().
Logarithmic functions with log10().
Trigonometric functions: cos(), sin(), and tan().
Using help() to explore module functions.
Working with the random Module:
Generate random integers with randrange(), randint().
Generate random floating-point numbers with random() and uniform().
Select random elements with choice().
Shuffle a list with shuffle().
Utilizing the statistics Module:
Calculate mean, median, and mode with mean(), median(), and mode().
Practical examples demonstrating statistical calculations.
Practical Implementation:
Real-world examples and exercises to apply these module functions.
__________________________________________________________________________________________
Click the link given below to view Review of Python - Part 1
• Review of Python Basics (Part 1) | Py...
__________________________________________________________________________________________
Exploring Python
• Python | Python Explained | Python fo...
This video covers - "Whether you're a beginner looking to learn the basics or an experienced programmer wanting to expand your knowledge, you can find answers to various Python-related questions."
What is Python? |What do you mean by high-level programming language? |Why do you think Python is so popular? |Who created Python, by the way? |
What are the features of Python? |What kind of things can you do with Python? | Is Python widely used? |What are some practical applications of Python? |In web development, In data science, In artificial intelligence and machine learning, in Internet of Things IoT projects, in cybersecurity, In computer science and in computer design | Is Python in demand in the job market?