Learning shapes, size and color

Learning shapes, size and color

Series: Python for kids

In our endavor to make learning fun and free of memorization, we have been using Python to allow children to experiment and analyze data to form their own opinion and discover facts. This way, children engage is learning process with more intensity and the they show higher retention rate vis a vis conventional learning.

This makes them think and try different things before they get it right. The focus shifts from being always 'right' to get it right after several failed attempts.

In this part of the series

Children create simple shapes using markers. They learn how to plot a shape, change color and size. They also learn show to find the shapes they can draw.

How to teach children

We give the some code to children to copy, paste and run. In this case, we send two lines of code:

import matplotlib.pyplot as plt
plt.plot( 0, 0, marker='o', color='red', markersize = 50)

The objective is not to teach coding but use it to learn basic concepts. In the above example, we teach children to change marker (shape), color and markersize (size).

The children experiment with shapes, colors and sizes. In future lessons, they learn about position of their shapes, thus leading to understanding of negative and positive numbers, co-ordinate systems, etc.

Import libraries

In [9]:
import matplotlib.pyplot as plt

Draw Circle

In [10]:
plt.plot( 0, 0, marker='o', color='pink', markersize = 50)
Out[10]:
[<matplotlib.lines.Line2D at 0x7fd753684810>]

Change color

Let them experiment with different colors. Ask them to put colors of their shirt or top, bottom, color of walls and other things that are present at that time. Thus, they will be able to develop sense of colors.

In [11]:
plt.plot( 0, 0, marker='o', color='green', markersize = 50)
Out[11]:
[<matplotlib.lines.Line2D at 0x7fd7535ee210>]
In [12]:
plt.plot( 0, 0, marker='o', color='grey', markersize = 50)
Out[12]:
[<matplotlib.lines.Line2D at 0x7fd75358a050>]
In [13]:
plt.plot( 0, 0, marker='o', color='brown', markersize = 50)
Out[13]:
[<matplotlib.lines.Line2D at 0x7fd7534e8a90>]

Change size

Let the children experiment. Ask them to try things like negative, zero or fractions too and compare them.

In [14]:
plt.plot( 0, 0, marker='o', color='green', markersize = 150)
Out[14]:
[<matplotlib.lines.Line2D at 0x7fd753523150>]
In [15]:
plt.plot( 0, 0, marker='o', color='green', markersize = 10)
Out[15]:
[<matplotlib.lines.Line2D at 0x7fd7537c5410>]
In [16]:
plt.plot( 0, 0, marker='o', color='green', markersize = 50)
Out[16]:
[<matplotlib.lines.Line2D at 0x7fd75367b150>]
In [17]:
plt.plot( 0, 0, marker='o', color='green', markersize = -50)
Out[17]:
[<matplotlib.lines.Line2D at 0x7fd7533b6550>]
In [18]:
plt.plot( 0, 0, marker='o', color='green', markersize = 15/4)
Out[18]:
[<matplotlib.lines.Line2D at 0x7fd75339bf90>]
In [19]:
plt.plot( 0, 0, marker='o', color='green', markersize = .50)
Out[19]:
[<matplotlib.lines.Line2D at 0x7fd7532fdf10>]

Square shape

In [20]:
plt.plot( 0, 0, marker='s', color='blue', markersize = 50)
Out[20]:
[<matplotlib.lines.Line2D at 0x7fd753268610>]
In [21]:
plt.plot( 0, 0, marker='s', color='red', markersize = 150)
Out[21]:
[<matplotlib.lines.Line2D at 0x7fd7532060d0>]
In [8]:
plt.plot( 0, 0, marker='s', color='black', markersize = 100)
Out[8]:
[<matplotlib.lines.Line2D at 0x7f82bd156ed0>]
In [ ]:

Draw triangle

In [22]:
plt.plot( 0, 0, marker='^', color='green', markersize = 50)
Out[22]:
[<matplotlib.lines.Line2D at 0x7fd753164b90>]

Draw Star

In [23]:
plt.plot( 0, 0, marker='*', color='grey', markersize = 50)
Out[23]:
[<matplotlib.lines.Line2D at 0x7fd75314f590>]

Draw Diamond

In [11]:
plt.plot( 0, 0, marker='d', color='orange', markersize = 50)
Out[11]:
[<matplotlib.lines.Line2D at 0x7f82bd009d90>]
In [ ]:

Draw Pentagon

In [12]:
plt.plot( 0, 0, marker='p', color='orange', markersize = 50)
Out[12]:
[<matplotlib.lines.Line2D at 0x7f82bcff39d0>]

Draw Hexagon

In [13]:
plt.plot( 0, 0, marker='h', color='pink', markersize = 50)
Out[13]:
[<matplotlib.lines.Line2D at 0x7f82bd3e41d0>]

Draw Octagon

In [24]:
plt.plot( 0, 0, marker='8', color='black', markersize = 50)
Out[24]:
[<matplotlib.lines.Line2D at 0x7fd75311f690>]

Draw Plus/Cross Sign

In [15]:
plt.plot( 0, 0, marker='P', color='yellow', markersize = 50)
Out[15]:
[<matplotlib.lines.Line2D at 0x7f82bce8aad0>]

Draw Heart Shape

In [16]:
plt.plot( 0, 0, marker=r'$\heartsuit$', color='red', markersize = 40)
Out[16]:
[<matplotlib.lines.Line2D at 0x7f82bce75750>]

Draw two shapes at a time

In [31]:
plt.plot( 0, 0, marker='o', color='red', markersize = 100)
plt.plot( 0, 0, marker='s', color='blue', markersize = 100)
Out[31]:
[<matplotlib.lines.Line2D at 0x7fd752e17650>]

Separate them

Teach them about position of shapes

In [30]:
plt.plot( 0, 0, marker='o', color='red', markersize = 100)
plt.plot( 0, 30, marker='s', color='blue', markersize = 100)
Out[30]:
[<matplotlib.lines.Line2D at 0x7fd752e25790>]
In [30]:
plt.plot( 0, 0, marker='o', color='red', markersize = 100)
plt.plot( 10, 30, marker='s', color='blue', markersize = 100)
Out[30]:
[<matplotlib.lines.Line2D at 0x7f82bc906f10>]

increase size of the figure

We send three lines of code to copy and paste as it is too early to teach them:

plt.figure(figsize=(10,10))

plt.xlim(-50, 50)
plt.ylim(-50, 50)

Now, we can experiment with left and right, up and down. It is good time to show them what negative and positive numbers do.

Pleace the square to right of the circle

In [33]:
plt.figure(figsize=(5,5))

plt.plot( 0, 0, marker='o', color='red', markersize = 10)
plt.plot( 20, 0, marker='s', color='blue', markersize = 10)

plt.xlim(-50, 50)
plt.ylim(-50, 50)
Out[33]:
(-50.0, 50.0)

Pleace the square to left of the circle

In [34]:
plt.figure(figsize=(5,5))

plt.plot( 0, 0, marker='o', color='red', markersize = 10)
plt.plot( -20, 0, marker='s', color='blue', markersize = 10)

plt.xlim(-50, 50)
plt.ylim(-50, 50)
Out[34]:
(-50.0, 50.0)

Pleace the square above the circle

In [35]:
plt.figure(figsize=(5,5))

plt.plot( 0, 0, marker='o', color='red', markersize = 10)
plt.plot( 0, 20, marker='s', color='blue', markersize = 10)

plt.xlim(-50, 50)
plt.ylim(-50, 50)
Out[35]:
(-50.0, 50.0)

Pleace the square below the circle

In [36]:
plt.figure(figsize=(5,5))

plt.plot( 0, 0, marker='o', color='red', markersize = 10)
plt.plot( 0, -20, marker='s', color='blue', markersize = 10)

plt.xlim(-50, 50)
plt.ylim(-50, 50)
Out[36]:
(-50.0, 50.0)

Now experiment with positions

In [37]:
plt.figure(figsize=(5,5))

plt.plot( -5, 20, marker='o', color='red', markersize = 10)
plt.plot( 20, -10, marker='s', color='blue', markersize = 10)

plt.xlim(-50, 50)
plt.ylim(-50, 50)
Out[37]:
(-50.0, 50.0)

All shape together

Assist the children in putting multiple shapes. Ask them to decide the postion of a news shape, left, right, up or down to a shape already drawn, before they draw it.

In [38]:
plt.figure(figsize=(20,10))

plt.plot( 10, 0, marker='o', color='red', markersize = 100)
plt.plot( 10, 30, marker='s', color='blue', markersize = 100)
plt.plot( 10, -30, marker='^', color='green', markersize = 100)

plt.plot( -10, 0, marker='*', color='grey', markersize = 100)
plt.plot( -10, 30, marker='d', color='orange', markersize = 100)
plt.plot( -10, -30, marker='p', color='purple', markersize = 100)

plt.plot( -30, 0, marker='h', color='pink', markersize = 100)
plt.plot( -30, 30, marker='8', color='black', markersize = 100)
plt.plot( -30, -30, marker='P', color='yellow', markersize = 100)

plt.plot( 30, 0, marker=r'$\heartsuit$', color='red', markersize = 100)
plt.plot( 30, 30, marker='>', color='lightgreen', markersize = 100)
plt.plot( 30, -30, marker='v', color='lightblue', markersize = 100)

plt.xlim(-50, 50)
plt.ylim(-50, 50)
Out[38]:
(-50.0, 50.0)
In [ ]:

List of markers

https://matplotlib.org/stable/api/markers_api.html

In [ ]:
In [ ]:

kindergarten

  1. Arithmetic
  2. Identify Pictures
  3. Learn Words

Python for kids

  1. How We Teach Exponents and Powers to Kids
  2. Plotting points
  3. Learning shapes, size and color
  4. Learning Coordinate Geometry
  5. Draw Shapes With Points Using Matplotlib Module
  6. Learn Coordinate Geometry With Intuitive Way - Part 1
  7. Teaching Geometry to Grade 3 Kids
  8. Plotting Simple Line, Bar And Pie Chart
  9. Draw Dream House Using Python Matplotlib Module
  10. Draw Circle - Diameter, Radius, Arc and Segment Using Python Matplotlib Module
  11. Draw Badminton Court Using Python Matplotlib Module
  12. Let Us Play With Carrom Board in Python
  13. Draw Some Interesting Pattern With Numpy & Matplotlib Module
  14. Step by Step Draw Boy Using Matplotlib Module
  15. Make Shapes With SystemOfBobies
  16. Draw Cartoon
  17. Draw Two Cartoons Inside House
  18. 3Dimension Plotting in Python
  19. Solar System
  20. Plot World, Continent and Cities

Fourier series

  1. Plotting fourier series

Linear Equations

  1. Linear Equations

Geometry

  1. Cone geometry
  2. Cube geometry
  3. Cylinder geometry
  4. Disk geometry
  5. Open top box geometry
  6. Rectangle geometry
  7. Ring geometry
  8. Saturn geometry
  9. Sphere geometry

Laplace

  1. Laplace transfomation plotting in 3D

Vectors

  1. Reference frames 3d
  2. Vector implimentation 2 vectors
  3. Vector with numpy and sympy

Differential equations

  1. First order differential equations

Functions

  1. Function plotting in 3D
  2. Function plotting in 2D

Jacobian

  1. Jacobian

Lagrangian

  1. Lagrange multipliers
  2. Lagrange example

Waves

  1. Plot electromagnectic waves

Electromagnetism

  1. Field plot
  2. Electric fields
  3. Fields
  4. Charges on Equilateral Triangle

Optics

  1. Lens optics geometry
  2. Mirror optics geometry

Quantum mechanics concepts

  1. Dirac notation and photon polarisation
  2. Photon polarisation
  3. Electron spin
  4. Position momentum and heisenberg
  5. The EPR paradox explanation
  6. Energy operators the hamiltonian and schrodinger
  7. The harmonic oscillator
  8. Schrodinger equation a simple derivation

Theory of relativity

  1. Derivation of time dilation
  2. Gamma factor
  3. Spacetime reference frames equations

Kinematics

  1. Circular motion

Thermodynamics

  1. Entropy and the second law of thermodynamics
  2. Introductory chemical engineering thermodynamics

Formulae

  1. Formulae

A level physics

  1. Classical mechanics

Chemistry

  1. ChemCalcManager
  2. ChemistryFormulaManager
  3. ElementGroupManager
  4. ElementsManager
  5. EnvironmentManager
  6. MolarManager
  7. MoleculesManager
  8. PeriodicTableManager
  9. ReactivityManager
  10. SmilesManager
  11. VisualizationManager

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  1. Book Manager
  2. Word Manager
  3. Grammar Manager
  4. Tense Manager
  5. Vocabulary Manager
  6. Learn Language Manager
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  8. There was a bug - Poem by Ishwarya
  9. The dog was doing a jog - Poem by Ishwarya

Geography

  1. Solar System
  2. Plot World, Continent and Cities

Animation

  1. Animate Circle With SVG
  2. Animate Stars in Different Directions Kids
  3. Move Box in HTML

Plotting

  1. Matplotlib Introduction
  2. Single Line Plots
  3. Bar Plots
  4. Histograms Plots
  5. Types of Plotting
  6. Seaborn Introduction
  7. Seaborn Scatterplot
  8. Seaborn Barplot
  9. Seaborn Boxplot
  10. Seaborn Pairplot
  11. Seaborn Heatmap
  12. Seaborn Seaborn Pandas
  13. Seaborn Plot a Simple Linear Relationship Between Two Variables
  14. Seaborn Displot
  15. Seaborn Palette
  16. Three-Dimensional Plotting in Matplotlib
  17. Interactive Visualizations With Bokeh Part 1
  18. Data Visualization With Seaborn - Part 1

SVG

  1. SVG Shapes
  2. SVG Shapes Advanced
  3. Animate Circle With SVG
  4. SVG Animation
  5. SVG Text
  6. Can We Write Alphabets With Help of SVG?

Python

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  2. Working With MongoDB & Python Using PyMongo and Pandas
  3. Capture Date, Phone and Email From Text With Regular Expression in Python
  4. Set Operations in Python
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  3. Sequence to Sequence Learning With Neural Networks To Perform Number Addition
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  6. Sentiment Analysis for Hotel Reviews With NLTK and Keras
  7. Simple Sequence Prediction With LSTM
  8. Image Classification With ResNet50 Model
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  10. Predict Diabetes With Machine Learning Algorithms
  11. TensorFlow Build Custom Convolutional Neural Network With MNIST Dataset
  12. Deal Banking Marketing Campaign Dataset With Machine Learning

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  2. Role of StringIndexer and Pipelines in PySpark ML Feature - Part 1
  3. Role of OneHotEncoder and Pipelines in PySpark ML Feature - Part 2
  4. Feature Transformer VectorAssembler in PySpark ML Feature - Part 3
  5. Logistic Regression in PySpark (ML Feature) with Breast Cancer Data Set

PyTorch

  1. Build the Neural Network with PyTorch
  2. Image Classification with PyTorch
  3. Twitter Sentiment Classification In PyTorch
  4. Training an Image Classifier in Pytorch

Natural Language Processing

  1. Spelling Correction Of The Text Data In Natural Language Processing
  2. Handling Text For Machine Learning
  3. Extracting Text From PDF File in Python Using PyPDF2
  4. How to Collect Data Using Twitter API V2 For Natural Language Processing
  5. Converting Text to Features in Natural Language Processing
  6. Extract A Noun Phrase For A Sentence In Natural Language Processing

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  9. Deploy Wordpress Website In Plesk Control Panel - Part 4
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  13. Connect SAP Hana Cloud Database Through Python
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