Mathematical Graphs in Python | Straight Line, Parabola, Modulus, Cubic, Bar & Pie Charts | NumPy
Delta Math
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Mathematical Graphs in Python | Straight Line, Parabola, Modulus, Cubic, Bar & Pie Charts | NumPy
12 просмотров · 9 дней назад
Delta Math
16 подписчиков
12 просмотров · 9 дней назад
In this lecture, we learn how to plot different types of mathematical graphs using Python and understand the mathematical reasoning behind each graph. The video connects mathematics with Python programming, making it useful for students who want to visualize mathematical functions through code.
full course link : • Python Programing
trigonometry basic concept video link: • Derivation of Sin θ, Cos θ & Tan θ | Conce...
Topics Covered
📈 What is a graph and why do we plot mathematical functions?
Equation of a Straight Line
y = mx + c
Understanding slope and intercept
Plotting a straight line using Python
Quadratic Function
y = x^2
Understanding and plotting a parabola
Cubic Function
y = x^3
Understanding the shape of a cubic curve
Modulus Functions
y = |x|
y = |x-2|
y = |x+2|
Understanding how changing the equation shifts the graph
Bar Graphs
Creating and displaying categorical data
Pie Charts
Representing data using sectors
Scatter Plots
Plotting individual data points
Multiple Curves on the Same Graph
Plotting two or more mathematical functions together
Subplots
Displaying multiple graphs in a single figure
Multi-Plotting
Understanding how multiple graphs can be organized and compared
Python Libraries
NumPy
Math library
Using mathematical functions and numerical arrays in Python
Writing Python code to visualize mathematical equations
What You Will Learn
By the end of this lecture, you will understand how a mathematical equation translates into a graphical representation and how Python can be used to create that visualization. You'll also learn the basic concepts needed to create different mathematical and statistical plots.
This lecture is particularly useful for school students, beginners learning Python, mathematics students, and anyone interested in combining Mathematics with Programming.
Mathematics + Python = Visualization + Better Understanding
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