#30DayMapChallenge Day6: Vintage
Modern data, vintage charm.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #shapely #osm
Modern data, vintage charm.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #shapely #osm
November 6, 2026 at 5:55 PM
#30DayMapChallenge Day6: Vintage
Modern data, vintage charm.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #shapely #osm
Modern data, vintage charm.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #shapely #osm
matplotlib takes the throne
what happens if R voters just don’t show up
November 3, 2026 at 5:14 PM
matplotlib takes the throne
#30DayMapChallenge Day7: 10 minute map
A minimalist reservoir map with a few key facts.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm
A minimalist reservoir map with a few key facts.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm
November 7, 2026 at 1:30 PM
#30DayMapChallenge Day7: 10 minute map
A minimalist reservoir map with a few key facts.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm
A minimalist reservoir map with a few key facts.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm
#30DayMapChallenge Day3: Polygons
Explore old Lisbon through the shapes of its churches!
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm
Explore old Lisbon through the shapes of its churches!
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm
November 3, 2026 at 5:58 PM
#30DayMapChallenge Day3: Polygons
Explore old Lisbon through the shapes of its churches!
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm
Explore old Lisbon through the shapes of its churches!
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm
#30DayMapChallenge Day2: Lines
A little street geometry from Lisbon!
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #shapely #pyfonts
A little street geometry from Lisbon!
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #shapely #pyfonts
November 2, 2026 at 6:05 PM
#30DayMapChallenge Day2: Lines
A little street geometry from Lisbon!
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #shapely #pyfonts
A little street geometry from Lisbon!
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #shapely #pyfonts
Looks like he's a fan of python!
"The Obesagent model was constructed using the Python programming language (releases 2.4 to 2.7) with the NumPy, Matplotlib, and NetworkX packages."
academic.oup.com/aje/article-...
"The Obesagent model was constructed using the Python programming language (releases 2.4 to 2.7) with the NumPy, Matplotlib, and NetworkX packages."
academic.oup.com/aje/article-...
Validate User
academic.oup.com
November 2, 2026 at 11:54 PM
Looks like he's a fan of python!
"The Obesagent model was constructed using the Python programming language (releases 2.4 to 2.7) with the NumPy, Matplotlib, and NetworkX packages."
academic.oup.com/aje/article-...
"The Obesagent model was constructed using the Python programming language (releases 2.4 to 2.7) with the NumPy, Matplotlib, and NetworkX packages."
academic.oup.com/aje/article-...
matplotlib!
November 6, 2026 at 11:57 PM
matplotlib!
#30DayMapChallenge Day4: Clusters
The map shows where mobile antennas cluster around Lisbon. Coloured and labelled groups highlight the clusters, while black dots show antennas outside them.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm #contextily #pypalettes
The map shows where mobile antennas cluster around Lisbon. Coloured and labelled groups highlight the clusters, while black dots show antennas outside them.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm #contextily #pypalettes
November 4, 2026 at 5:53 PM
#30DayMapChallenge Day4: Clusters
The map shows where mobile antennas cluster around Lisbon. Coloured and labelled groups highlight the clusters, while black dots show antennas outside them.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm #contextily #pypalettes
The map shows where mobile antennas cluster around Lisbon. Coloured and labelled groups highlight the clusters, while black dots show antennas outside them.
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas #osm #contextily #pypalettes
30DayMapChallenge Day1: Points
Japan's lighthouses, mapped. But why stop at plotting points when you can make them blink?
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas
Japan's lighthouses, mapped. But why stop at plotting points when you can make them blink?
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas
November 1, 2026 at 4:31 PM
30DayMapChallenge Day1: Points
Japan's lighthouses, mapped. But why stop at plotting points when you can make them blink?
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas
Japan's lighthouses, mapped. But why stop at plotting points when you can make them blink?
#30DayMapChallenge #Map #Cartography #matplotlib #geopandas
Day 7 | 10 Minute Map | #30DayMapChallenge
A quick elevation map of Germany made in 10 minutes, plus a second image showing the polished final version.
Data: #Copernicus DEM GLO-90 (AWS Open Data), Natural Earth boundaries
Tools: #Python #rasterio #geopandas #NumPy #matplotlib
A quick elevation map of Germany made in 10 minutes, plus a second image showing the polished final version.
Data: #Copernicus DEM GLO-90 (AWS Open Data), Natural Earth boundaries
Tools: #Python #rasterio #geopandas #NumPy #matplotlib
November 7, 2026 at 10:04 AM
Day 7 | 10 Minute Map | #30DayMapChallenge
A quick elevation map of Germany made in 10 minutes, plus a second image showing the polished final version.
Data: #Copernicus DEM GLO-90 (AWS Open Data), Natural Earth boundaries
Tools: #Python #rasterio #geopandas #NumPy #matplotlib
A quick elevation map of Germany made in 10 minutes, plus a second image showing the polished final version.
Data: #Copernicus DEM GLO-90 (AWS Open Data), Natural Earth boundaries
Tools: #Python #rasterio #geopandas #NumPy #matplotlib
November 2, 2026 at 8:57 PM
Hey folks, interested in contributing and a bit ??? on where to start? Drop into our new contributor meeting (Europe/Asia/Africa friendly time) to learn a bit more about the process & ask us about work you wanna do (or already are doing).
November 2, 2026 at 10:36 PM
Hey folks, interested in contributing and a bit ??? on where to start? Drop into our new contributor meeting (Europe/Asia/Africa friendly time) to learn a bit more about the process & ask us about work you wanna do (or already are doing).
Matplotlib, Seaborn, or Plotly?
In my new Statistics Globe Hub module, I compare these three popular visualization libraries: statisticsglobe.com/hub
Prefer R? My ggplot2 course starts November 9: statisticsglobe.com/online-cours...
#Python #DataVisualization #Matplotlib #Seaborn #Plotly #ggplot2
In my new Statistics Globe Hub module, I compare these three popular visualization libraries: statisticsglobe.com/hub
Prefer R? My ggplot2 course starts November 9: statisticsglobe.com/online-cours...
#Python #DataVisualization #Matplotlib #Seaborn #Plotly #ggplot2
November 3, 2026 at 6:23 AM
Matplotlib, Seaborn, or Plotly?
In my new Statistics Globe Hub module, I compare these three popular visualization libraries: statisticsglobe.com/hub
Prefer R? My ggplot2 course starts November 9: statisticsglobe.com/online-cours...
#Python #DataVisualization #Matplotlib #Seaborn #Plotly #ggplot2
In my new Statistics Globe Hub module, I compare these three popular visualization libraries: statisticsglobe.com/hub
Prefer R? My ggplot2 course starts November 9: statisticsglobe.com/online-cours...
#Python #DataVisualization #Matplotlib #Seaborn #Plotly #ggplot2
Happy start to the #30DayMapChallenge everyone! I'm a little late getting started, but I think this lunchtime Python map was well worth the learning! Libraries used include osmnx, contextily, geopandas, and matplotlib. Happy to finally be mapping in code!
November 3, 2026 at 7:37 PM
Happy start to the #30DayMapChallenge everyone! I'm a little late getting started, but I think this lunchtime Python map was well worth the learning! Libraries used include osmnx, contextily, geopandas, and matplotlib. Happy to finally be mapping in code!
Some of us still use pre-python era graphing libraries in our python religiously, given that matplotlib is effectively unusable and ugly.
November 2, 2026 at 1:35 AM
Some of us still use pre-python era graphing libraries in our python religiously, given that matplotlib is effectively unusable and ugly.
You know what stuck with me about matplotlib? Not the bot. An unpaid maintainer spent days defending himself against something that never gets tired. Infinite patience on one side, finite evenings on the other. https://github.com/matplotlib/matplotlib/pull/31132
November 4, 2026 at 2:23 PM
You know what stuck with me about matplotlib? Not the bot. An unpaid maintainer spent days defending himself against something that never gets tired. Infinite patience on one side, finite evenings on the other. https://github.com/matplotlib/matplotlib/pull/31132
Well guess I never have to fiddle endlessly with matplotlib code and can spend that time on jazz with that piano I’ll never afford
November 2, 2026 at 3:48 AM
Well guess I never have to fiddle endlessly with matplotlib code and can spend that time on jazz with that piano I’ll never afford
jotter is a TUI that edits and runs Jupyter notebooks in your terminal.
It quickly renders LaTeX, runs code blocks, previews matplotlib plots, autosaves edits with unsaved file recovery and more.
Samuel Recker made jotter using @ratatui.rs & is Terminal Tool of the Week! ⭐️
It quickly renders LaTeX, runs code blocks, previews matplotlib plots, autosaves edits with unsaved file recovery and more.
Samuel Recker made jotter using @ratatui.rs & is Terminal Tool of the Week! ⭐️
November 3, 2026 at 10:28 PM
jotter is a TUI that edits and runs Jupyter notebooks in your terminal.
It quickly renders LaTeX, runs code blocks, previews matplotlib plots, autosaves edits with unsaved file recovery and more.
Samuel Recker made jotter using @ratatui.rs & is Terminal Tool of the Week! ⭐️
It quickly renders LaTeX, runs code blocks, previews matplotlib plots, autosaves edits with unsaved file recovery and more.
Samuel Recker made jotter using @ratatui.rs & is Terminal Tool of the Week! ⭐️
I’m not sure the python crowd likes matplotlib enough to not send the election to d3.js
November 4, 2026 at 1:57 AM
I’m not sure the python crowd likes matplotlib enough to not send the election to d3.js
Check out the Economics Starter snippet – load, analyze, and plot simple economic data with pandas and matplotlib. A quick, beginner‑friendly walk‑through to get you up and running.
https://itsevilduck.gumroad.com/l/cdnxb
itsevilduck.gumroad.com
November 5, 2026 at 10:39 PM
Check out the Economics Starter snippet – load, analyze, and plot simple economic data with pandas and matplotlib. A quick, beginner‑friendly walk‑through to get you up and running.
How Does a Python Course in Delhi Help You Turn Raw CSV Files into Meaningful Insights Using NumPy, Pandas, Matplotlib, and Seaborn?
lite.evernote.com/note/3e483b9...
lite.evernote.com/note/3e483b9...
Evernote
lite.evernote.com
November 4, 2026 at 5:35 AM
How Does a Python Course in Delhi Help You Turn Raw CSV Files into Meaningful Insights Using NumPy, Pandas, Matplotlib, and Seaborn?
lite.evernote.com/note/3e483b9...
lite.evernote.com/note/3e483b9...
📘 Cómo simular un circuito LR en serie, con MATHEMATICA
Simula un circuito LR en serie sin Mathematica: código Python gratis (numpy + matplotlib) que reproduce la corriente i(t) con los mismos datos del ejercicio (E=30 V, L=0.1 H, R=50 Ω).
Leer el artículo →
Simula un circuito LR en serie sin Mathematica: código Python gratis (numpy + matplotlib) que reproduce la corriente i(t) con los mismos datos del ejercicio (E=30 V, L=0.1 H, R=50 Ω).
Leer el artículo →
Cómo simular un circuito LR en serie, con MATHEMATICA
Simula un circuito LR en serie sin Mathematica: código Python gratis (numpy + matplotlib) que reproduce la corriente i(t) con los mismos datos del ejercicio (E=30 V, L=0.1 H, R=50 Ω).
ecuaciondiferencialejerciciosresueltos.com
November 5, 2026 at 10:00 PM
📘 Cómo simular un circuito LR en serie, con MATHEMATICA
Simula un circuito LR en serie sin Mathematica: código Python gratis (numpy + matplotlib) que reproduce la corriente i(t) con los mismos datos del ejercicio (E=30 V, L=0.1 H, R=50 Ω).
Leer el artículo →
Simula un circuito LR en serie sin Mathematica: código Python gratis (numpy + matplotlib) que reproduce la corriente i(t) con los mismos datos del ejercicio (E=30 V, L=0.1 H, R=50 Ω).
Leer el artículo →
(automated)
#Balkonsolar Tagesertrag:
490.69Wh erzeugt am 2026-11-05
58.06% Änderung gegenüber gestern
#Balkonsolar Tagesertrag:
490.69Wh erzeugt am 2026-11-05
58.06% Änderung gegenüber gestern
November 5, 2026 at 8:00 PM
(automated)
#Balkonsolar Tagesertrag:
490.69Wh erzeugt am 2026-11-05
58.06% Änderung gegenüber gestern
#Balkonsolar Tagesertrag:
490.69Wh erzeugt am 2026-11-05
58.06% Änderung gegenüber gestern
(automated)
#Balkonsolar Tagesertrag:
446.1Wh erzeugt am 2026-11-06
-9.09% Änderung gegenüber gestern
#Balkonsolar Tagesertrag:
446.1Wh erzeugt am 2026-11-06
-9.09% Änderung gegenüber gestern
November 6, 2026 at 8:00 PM
(automated)
#Balkonsolar Tagesertrag:
446.1Wh erzeugt am 2026-11-06
-9.09% Änderung gegenüber gestern
#Balkonsolar Tagesertrag:
446.1Wh erzeugt am 2026-11-06
-9.09% Änderung gegenüber gestern