Remove pylab examples

README.md

@@ -0,0 +1,19 @@
+# Exploring Math
+
+Math is fun, but we generally learn applying it's operations with pencil and paper. This repository is a learning repo focused on learning math with the Python tools you will typically encounter out in the wild world.
+
+
+## Installation
+
+```bash
+sudo apt install python3-tk
+```
+
+```bash
+uv venv -p 3.12
+uv pip install -r requirements.in
+```
+
+## Saving Notebooks
+
+Notebooks json can be inline or in a source list format. Source list is easier to read on PRs, so included is a `convert_notebook.py` utility.

ch2_graphing/graphing_functions.py

@@ -28,7 +28,7 @@ def generate_F_r():
     m2 = 1.5
 
     for dist in r:
-        force = G * (m1 / m2) / (dist ** 2)
+        force = G * (m1 * m2) / (dist ** 2)
         F.append(force)
 
     draw_graph(r, F)

ch2_graphing/simple_graphs.py

@@ -1,17 +1,16 @@
 """
-Simple pylab example
+Simple matplotlib example
 
-Use pylab when you are in an interactive shell. This example really should be copied into a RPEL.
 """
 
-from pylab import plot, show
+import numpy as np
+import matplotlib.pyplot as plt
 
-x_numbers = [1, 2, 3]
-y_numbers = [2, 4, 6]
-
-my_graph = plot(x_numbers, y_numbers, marker='o')
-# my_graph = plot(x_numbers, y_numbers, 'o')
+x_numbers = np.array([1, 2, 3])
+y_numbers = np.array([2, 4, 6])
 
+fig, ax = plt.subplots()
+ax.plot(x_numbers, y_numbers, marker="o")
 
 if __name__ == "__main__":
-    show()
+    plt.show()

ch2_graphing/temp_comparision_v2.py

@@ -1,20 +1,32 @@
-from pylab import legend, plot, show, title, xlabel, ylabel, axis
-
-nyc_temp_2000 = [31.3, 37.3, 47.2, 51.0, 63.5, 71.3, 72.3, 72.7, 66.0, 57.0, 45.3, 31.1]
-nyc_temp_2006 = [40.9, 35.7, 43.1, 55.7, 63.1, 71.0, 77.9, 75.8, 66.6, 56.2, 51.9, 43.6]
-nyc_temp_2012 = [37.3, 40.9, 50.9, 54.8, 65.1, 71.0, 78.8, 76.7, 68.8, 58.0, 43.9, 41.5]
-
-months = range(1, 13)
-
-plot(months, nyc_temp_2000, months, nyc_temp_2006, months, nyc_temp_2012)
-
-title('Average monthly temperature in NYC')
-
-xlabel("Month")
-ylabel("Temperature")
-
-legend([2000, 2006, 2012])
-
-axis(ymin=0)
-
-show()
+import numpy as np
+import matplotlib.pyplot as plt
+
+nyc_temp_2000 = np.array([
+    31.3, 37.3, 47.2, 51.0, 63.5, 71.3,
+    72.3, 72.7, 66.0, 57.0, 45.3, 31.1
+])
+nyc_temp_2006 = np.array([
+    40.9, 35.7, 43.1, 55.7, 63.1, 71.0,
+    77.9, 75.8, 66.6, 56.2, 51.9, 43.6
+])
+nyc_temp_2012 = np.array([
+    37.3, 40.9, 50.9, 54.8, 65.1, 71.0,
+    78.8, 76.7, 68.8, 58.0, 43.9, 41.5
+])
+
+months = np.arange(1, 13)
+
+fig, ax = plt.subplots()
+
+ax.plot(months, nyc_temp_2000, marker="o", label="2000")
+ax.plot(months, nyc_temp_2006, marker="o", label="2006")
+ax.plot(months, nyc_temp_2012, marker="o", label="2012")
+
+ax.set_title("Average monthly temperature in NYC")
+ax.set_xlabel("Month")
+ax.set_ylabel("Temperature")
+
+ax.set_ylim(bottom=0)   # equivalent to axis(ymin=0)
+ax.legend()
+
+plt.show()

ch2_graphing/temp_comparison.py

@@ -1,13 +1,28 @@
-from pylab import legend, plot, show
+import numpy as np
+import matplotlib.pyplot as plt
 
-nyc_temp_2000 = [31.3, 37.3, 47.2, 51.0, 63.5, 71.3, 72.3, 72.7, 66.0, 57.0, 45.3, 31.1]
-nyc_temp_2006 = [40.9, 35.7, 43.1, 55.7, 63.1, 71.0, 77.9, 75.8, 66.6, 56.2, 51.9, 43.6]
-nyc_temp_2012 = [37.3, 40.9, 50.9, 54.8, 65.1, 71.0, 78.8, 76.7, 68.8, 58.0, 43.9, 41.5]
+nyc_temp_2000 = [
+    31.3, 37.3, 47.2, 51.0, 63.5, 71.3,
+    72.3, 72.7, 66.0, 57.0, 45.3, 31.1
+]
+nyc_temp_2006 = [
+    40.9, 35.7, 43.1, 55.7, 63.1, 71.0,
+    77.9, 75.8, 66.6, 56.2, 51.9, 43.6
+]
+nyc_temp_2012 = [
+    37.3, 40.9, 50.9, 54.8, 65.1, 71.0,
+    78.8, 76.7, 68.8, 58.0, 43.9, 41.5
+]
 
 months = range(1, 13)
 
-plot(months, nyc_temp_2000, months, nyc_temp_2006, months, nyc_temp_2012)
+plt.plot(months, nyc_temp_2000)
+plt.plot(months, nyc_temp_2006)
+plt.plot(months, nyc_temp_2012)
 
-legend([2000, 2006, 2012])
+plt.legend([2000, 2006, 2012])
+plt.xlabel("Month")
+plt.ylabel("Temperature")
+plt.title("NYC Monthly Temperatures")
 
-show()
+plt.show()

ch2_graphing/temp_decimal.py

@@ -1,12 +1,20 @@
-from pylab import plot, show
+import numpy as np
+import matplotlib.pyplot as plt
 from decimal import Decimal
 
-nyc_temp = [50.9, 60.3, 54.4, 52.4, 51.5, 52.8, 56.8, 55.0, 55.3, 54.0, 56.7, 56.4, 57.3]
+nyc_temp = [
+    50.9, 60.3, 54.4, 52.4, 51.5, 52.8,
+    56.8, 55.0, 55.3, 54.0, 56.7, 56.4, 57.3
+]
 
-dec_nyc_temp = list(map(lambda x: Decimal(str(x)), nyc_temp))
+# Preserve Decimal behavior
+dec_nyc_temp = [Decimal(str(x)) for x in nyc_temp]
 
-years = range(2000, 2013)
+years = list(range(2000, 2013))
 
-plot(years, dec_nyc_temp, marker='o')
+plt.plot(years, dec_nyc_temp, marker="o")
+plt.xlabel("Year")
+plt.ylabel("Temperature")
+plt.title("NYC Temperature by Year")
 
-show()
+plt.show()

ch2_graphing/temp_graph.py

@@ -1,7 +1,14 @@
-from pylab import plot, show
+import numpy as np
+import matplotlib.pyplot as plt
 
-nyc_temp = [53.9, 56.3, 56.4, 53.4, 54.5, 55.8, 56.8, 55.0, 55.3, 54.0, 56.7, 56.4, 57.3]
+nyc_temp = np.array([
+    53.9, 56.3, 56.4, 53.4, 54.5, 55.8,
+    56.8, 55.0, 55.3, 54.0, 56.7, 56.4, 57.3
+])
 
-plot(nyc_temp, marker="o")
+plt.plot(nyc_temp, marker="o")
+plt.xlabel("Day")
+plt.ylabel("Temperature (°F)")
+plt.title("NYC Temperatures")
 
-show()
+plt.show()

requirements.in

@@ -0,0 +1,3 @@
+matplotlib
+notebook
+numpy

requirements.txt

@@ -1 +1,302 @@
-matplotlib
+# This file was autogenerated by uv via the following command:
+#    uv pip compile requirements.in -o requirements.txt
+anyio==4.12.1
+    # via
+    #   httpx
+    #   jupyter-server
+argon2-cffi==25.1.0
+    # via jupyter-server
+argon2-cffi-bindings==25.1.0
+    # via argon2-cffi
+arrow==1.4.0
+    # via isoduration
+asttokens==3.0.1
+    # via stack-data
+async-lru==2.1.0
+    # via jupyterlab
+attrs==25.4.0
+    # via
+    #   jsonschema
+    #   referencing
+babel==2.18.0
+    # via jupyterlab-server
+beautifulsoup4==4.14.3
+    # via nbconvert
+bleach==6.3.0
+    # via nbconvert
+certifi==2026.1.4
+    # via
+    #   httpcore
+    #   httpx
+    #   requests
+cffi==2.0.0
+    # via argon2-cffi-bindings
+charset-normalizer==3.4.4
+    # via requests
+comm==0.2.3
+    # via ipykernel
+contourpy==1.3.3
+    # via matplotlib
+cycler==0.12.1
+    # via matplotlib
+debugpy==1.8.20
+    # via ipykernel
+decorator==5.2.1
+    # via ipython
+defusedxml==0.7.1
+    # via nbconvert
+executing==2.2.1
+    # via stack-data
+fastjsonschema==2.21.2
+    # via nbformat
+fonttools==4.61.1
+    # via matplotlib
+fqdn==1.5.1
+    # via jsonschema
+h11==0.16.0
+    # via httpcore
+httpcore==1.0.9
+    # via httpx
+httpx==0.28.1
+    # via jupyterlab
+idna==3.11
+    # via
+    #   anyio
+    #   httpx
+    #   jsonschema
+    #   requests
+ipykernel==7.1.0
+    # via jupyterlab
+ipython==9.9.0
+    # via ipykernel
+ipython-pygments-lexers==1.1.1
+    # via ipython
+isoduration==20.11.0
+    # via jsonschema
+jedi==0.19.2
+    # via ipython
+jinja2==3.1.6
+    # via
+    #   jupyter-server
+    #   jupyterlab
+    #   jupyterlab-server
+    #   nbconvert
+json5==0.13.0
+    # via jupyterlab-server
+jsonpointer==3.0.0
+    # via jsonschema
+jsonschema==4.26.0
+    # via
+    #   jupyter-events
+    #   jupyterlab-server
+    #   nbformat
+jsonschema-specifications==2025.9.1
+    # via jsonschema
+jupyter-client==8.8.0
+    # via
+    #   ipykernel
+    #   jupyter-server
+    #   nbclient
+jupyter-core==5.9.1
+    # via
+    #   ipykernel
+    #   jupyter-client
+    #   jupyter-server
+    #   jupyterlab
+    #   nbclient
+    #   nbconvert
+    #   nbformat
+jupyter-events==0.12.0
+    # via jupyter-server
+jupyter-lsp==2.3.0
+    # via jupyterlab
+jupyter-server==2.17.0
+    # via
+    #   jupyter-lsp
+    #   jupyterlab
+    #   jupyterlab-server
+    #   notebook
+    #   notebook-shim
+jupyter-server-terminals==0.5.4
+    # via jupyter-server
+jupyterlab==4.5.3
+    # via notebook
+jupyterlab-pygments==0.3.0
+    # via nbconvert
+jupyterlab-server==2.28.0
+    # via
+    #   jupyterlab
+    #   notebook
+kiwisolver==1.4.9
+    # via matplotlib
+lark==1.3.1
+    # via rfc3987-syntax
+markupsafe==3.0.3
+    # via
+    #   jinja2
+    #   nbconvert
+matplotlib==3.10.8
+    # via -r requirements.in
+matplotlib-inline==0.2.1
+    # via
+    #   ipykernel
+    #   ipython
+mistune==3.2.0
+    # via nbconvert
+nbclient==0.10.4
+    # via nbconvert
+nbconvert==7.17.0
+    # via jupyter-server
+nbformat==5.10.4
+    # via
+    #   jupyter-server
+    #   nbclient
+    #   nbconvert
+nest-asyncio==1.6.0
+    # via ipykernel
+notebook==7.5.3
+    # via -r requirements.in
+notebook-shim==0.2.4
+    # via
+    #   jupyterlab
+    #   notebook
+numpy==2.4.2
+    # via
+    #   -r requirements.in
+    #   contourpy
+    #   matplotlib
+packaging==26.0
+    # via
+    #   ipykernel
+    #   jupyter-events
+    #   jupyter-server
+    #   jupyterlab
+    #   jupyterlab-server
+    #   matplotlib
+    #   nbconvert
+pandocfilters==1.5.1
+    # via nbconvert
+parso==0.8.5
+    # via jedi
+pexpect==4.9.0
+    # via ipython
+pillow==12.1.0
+    # via matplotlib
+platformdirs==4.5.1
+    # via jupyter-core
+prometheus-client==0.24.1
+    # via jupyter-server
+prompt-toolkit==3.0.52
+    # via ipython
+psutil==7.2.2
+    # via ipykernel
+ptyprocess==0.7.0
+    # via
+    #   pexpect
+    #   terminado
+pure-eval==0.2.3
+    # via stack-data
+pycparser==3.0
+    # via cffi
+pygments==2.19.2
+    # via
+    #   ipython
+    #   ipython-pygments-lexers
+    #   nbconvert
+pyparsing==3.3.2
+    # via matplotlib
+python-dateutil==2.9.0.post0
+    # via
+    #   arrow
+    #   jupyter-client
+    #   matplotlib
+python-json-logger==4.0.0
+    # via jupyter-events
+pyyaml==6.0.3
+    # via jupyter-events
+pyzmq==27.1.0
+    # via
+    #   ipykernel
+    #   jupyter-client
+    #   jupyter-server
+referencing==0.37.0
+    # via
+    #   jsonschema
+    #   jsonschema-specifications
+    #   jupyter-events
+requests==2.32.5
+    # via jupyterlab-server
+rfc3339-validator==0.1.4
+    # via
+    #   jsonschema
+    #   jupyter-events
+rfc3986-validator==0.1.1
+    # via
+    #   jsonschema
+    #   jupyter-events
+rfc3987-syntax==1.1.0
+    # via jsonschema
+rpds-py==0.30.0
+    # via
+    #   jsonschema
+    #   referencing
+send2trash==2.1.0
+    # via jupyter-server
+setuptools==80.10.2
+    # via jupyterlab
+six==1.17.0
+    # via
+    #   python-dateutil
+    #   rfc3339-validator
+soupsieve==2.8.3
+    # via beautifulsoup4
+stack-data==0.6.3
+    # via ipython
+terminado==0.18.1
+    # via
+    #   jupyter-server
+    #   jupyter-server-terminals
+tinycss2==1.4.0
+    # via bleach
+tornado==6.5.4
+    # via
+    #   ipykernel
+    #   jupyter-client
+    #   jupyter-server
+    #   jupyterlab
+    #   notebook
+    #   terminado
+traitlets==5.14.3
+    # via
+    #   ipykernel
+    #   ipython
+    #   jupyter-client
+    #   jupyter-core
+    #   jupyter-events
+    #   jupyter-server
+    #   jupyterlab
+    #   matplotlib-inline
+    #   nbclient
+    #   nbconvert
+    #   nbformat
+typing-extensions==4.15.0
+    # via
+    #   anyio
+    #   beautifulsoup4
+    #   referencing
+tzdata==2025.3
+    # via arrow
+uri-template==1.3.0
+    # via jsonschema
+urllib3==2.6.3
+    # via requests
+wcwidth==0.5.3
+    # via prompt-toolkit
+webcolors==25.10.0
+    # via jsonschema
+webencodings==0.5.1
+    # via
+    #   bleach
+    #   tinycss2
+websocket-client==1.9.0
+    # via jupyter-server