Visualize Major USA Cities with Python & Contextily
Want to turn geographic data into a beautiful map with Python?
πΊ With just a few lines of code, you can combine GeoPandas, Shapely, Matplotlib, and Contextily to plot major U.S. cities on a real-world map.
π Cities included:
New York
Los Angeles
Chicago
What this project demonstrates
β’ Creating geographic points with Shapely
β’ Managing spatial data with GeoPandas
β’ Converting coordinates to Web Mercator (EPSG:3857)
β’ Adding OpenStreetMap basemaps with Contextily
β’ Labeling cities on a geographic visualization
Python for GIS & Spatial Intelligence: amzn.to/3UCfFe1
Want to turn geographic data into a beautiful map with Python?
πΊ With just a few lines of code, you can combine GeoPandas, Shapely, Matplotlib, and Contextily to plot major U.S. cities on a real-world map.
π Cities included:
New York
Los Angeles
Chicago
What this project demonstrates
β’ Creating geographic points with Shapely
β’ Managing spatial data with GeoPandas
β’ Converting coordinates to Web Mercator (EPSG:3857)
β’ Adding OpenStreetMap basemaps with Contextily
β’ Labeling cities on a geographic visualization
Python for GIS & Spatial Intelligence: amzn.to/3UCfFe1
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Python Quiz of the Day
Python Coding Challenge - Question with Answer (ID 090926)
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-090926.html
Python Coding Challenge - Question with Answer (ID 090926)
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-090926.html
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Google AI+ is free for students.
Duration: 1 Years
they can claim here.
https://www.clcoding.com/2026/09/google-ai-student-offer-2026-get-google.html
Duration: 1 Years
they can claim here.
https://www.clcoding.com/2026/09/google-ai-student-offer-2026-get-google.html
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September Data Science Bootcamp
Day 5 is all about Functions in Python β one of the most important concepts for writing clean, reusable, and maintainable code.
Join Free: https://youtube.com/live/1PENRkAmOxg?feature=share
In todayβs session, weβll learn:
What are Python functions?
Defining and calling functions
Parameters and arguments
Return values
Default and keyword arguments
*args and **kwargs
Local vs global variables
Lambda functions
Practical examples for Data Science
Functions help you break complex problems into smaller, reusable pieces β a skill every Data Scientist and Python Developer needs.
Keep learning. Keep coding.
Day 5 is all about Functions in Python β one of the most important concepts for writing clean, reusable, and maintainable code.
Join Free: https://youtube.com/live/1PENRkAmOxg?feature=share
In todayβs session, weβll learn:
What are Python functions?
Defining and calling functions
Parameters and arguments
Return values
Default and keyword arguments
*args and **kwargs
Local vs global variables
Lambda functions
Practical examples for Data Science
Functions help you break complex problems into smaller, reusable pieces β a skill every Data Scientist and Python Developer needs.
Keep learning. Keep coding.
β€1
π Introduction to Probability for Data Science β Free PDF
Want to build a strong foundation in Data Science, Machine Learning, and AI?
This 691-page book provides a comprehensive introduction to probability with a focus on data science applications. It covers topics including:
β’ Mathematical foundations
β’ Probability and conditional probability
β’ Random variables
β’ Discrete & continuous distributions
β’ Joint distributions
β’ Sample statistics
β’ Regression
β’ Estimation
β’ Confidence intervals & hypothesis testing
β’ Random processes
β’ Probability in Machine Learning
Probability is more than formulas β it helps you reason about uncertainty, data, predictions, and real-world outcomes.
π 691 Pages
π― Ideal for Data Science & Machine Learning learners
π» Free PDF
Read and access the book here:
https://www.clcoding.com/2026/09/introduction-to-probability-for-data.html
Want to build a strong foundation in Data Science, Machine Learning, and AI?
This 691-page book provides a comprehensive introduction to probability with a focus on data science applications. It covers topics including:
β’ Mathematical foundations
β’ Probability and conditional probability
β’ Random variables
β’ Discrete & continuous distributions
β’ Joint distributions
β’ Sample statistics
β’ Regression
β’ Estimation
β’ Confidence intervals & hypothesis testing
β’ Random processes
β’ Probability in Machine Learning
Probability is more than formulas β it helps you reason about uncertainty, data, predictions, and real-world outcomes.
π 691 Pages
π― Ideal for Data Science & Machine Learning learners
π» Free PDF
Read and access the book here:
https://www.clcoding.com/2026/09/introduction-to-probability-for-data.html
β€2
π Python Coding Challenge β ID 100926
Can you predict the output before running the code?
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-100926.html
Can you predict the output before running the code?
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-100926.html
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September Data Science Bootcamp | Day 6 π
Exception & File Handling π»
Join Free: https://youtube.com/live/HTYbKVl2KFU?feature=share
Learn how to write more reliable Python programs with:
πΉ try-except & exception handling
πΉ CSV & JSON files
πΉ File handling basics
πΉ pathlib and file paths
Learn β Practice β Build β Grow π
Exception & File Handling π»
Join Free: https://youtube.com/live/HTYbKVl2KFU?feature=share
Learn how to write more reliable Python programs with:
πΉ try-except & exception handling
πΉ CSV & JSON files
πΉ File handling basics
πΉ pathlib and file paths
Learn β Practice β Build β Grow π
What can Python do for Chemical Engineering?
Here are 5 powerful Cantera programs to find out!
pip intsall cantera
https://x.com/clcoding/status/2097908878818283957?s=20
Follow @pythonclcoding
Here are 5 powerful Cantera programs to find out!
pip intsall cantera
https://x.com/clcoding/status/2097908878818283957?s=20
Follow @pythonclcoding
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PDF β Automatic Metadata Report ππ
Turn a PDF into a quick metadata report with Python.
Python + PDFs = powerful automation. π
https://amzn.to/3UHwa8B
Turn a PDF into a quick metadata report with Python.
Python + PDFs = powerful automation. π
https://amzn.to/3UHwa8B
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PDF β Automatic Metadata Report ππ
Turn a PDF into a quick metadata report with Python.
Python + PDFs = powerful automation. π
https://amzn.to/3UHwa8B
Turn a PDF into a quick metadata report with Python.
Python + PDFs = powerful automation. π
https://amzn.to/3UHwa8B
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Differential Geometry β Free PDF
Learn the mathematics of curves, surfaces, manifolds, curvature, geodesics, and tensors with this free Differential Geometry resource.
π Topics include:
Curves and surfaces
Tangent vectors and tangent spaces
Curvature and torsion
Geodesics
Riemannian geometry
Differential forms
Manifolds and tensors
Applications in physics and mathematics
Detailed Explanation: https://www.clcoding.com/2026/09/differential-geometry-free-pdf.html
Perfect for mathematics, physics, engineering, and data science students looking to build a stronger foundation in advanced geometry.
Learn the mathematics of curves, surfaces, manifolds, curvature, geodesics, and tensors with this free Differential Geometry resource.
π Topics include:
Curves and surfaces
Tangent vectors and tangent spaces
Curvature and torsion
Geodesics
Riemannian geometry
Differential forms
Manifolds and tensors
Applications in physics and mathematics
Detailed Explanation: https://www.clcoding.com/2026/09/differential-geometry-free-pdf.html
Perfect for mathematics, physics, engineering, and data science students looking to build a stronger foundation in advanced geometry.
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Experience is the teacher of all things, while certification is proof of your dedication and expertise. Letβs explore the key points about both:
https://x.com/clcoding/status/2098145738240987425?s=20
https://x.com/clcoding/status/2098145738240987425?s=20
β€2
Python Quiz of the Day
Python Coding Challenge - Question with Answer (ID 110926)
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-110926.html
Python Coding Challenge - Question with Answer (ID 110926)
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-110926.html
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September Data Science Bootcamp | OOP Essentials
Weβre LIVE on YouTube!
https://youtube.com/live/SeX9wHN88pE
Join us for an interactive session on Object-Oriented Programming (OOP) in Python.
Todayβs focus: Classes, Objects & Constructors
Watch live, learn, practice, and build real Python skills.
Weβre LIVE on YouTube!
https://youtube.com/live/SeX9wHN88pE
Join us for an interactive session on Object-Oriented Programming (OOP) in Python.
Todayβs focus: Classes, Objects & Constructors
Watch live, learn, practice, and build real Python skills.
β€1
β€2
Interactive Profile Dashboard with Streamlit
Build a personal profile dashboard where users can explore:
Projects: https://amzn.to/4hoi30F
Profile: Name, photo, bio, skills
About: Education, experience, achievements
Skills: Interactive skill bars or charts
Projects: Project cards with GitHub/demo links
Experience: Interactive timeline
Contact: Email and social links
Analytics: Skills, projects, experience, and other profile statistics
Tech Stack: Python + Streamlit + Pandas + Plotly
Build a personal profile dashboard where users can explore:
Projects: https://amzn.to/4hoi30F
Profile: Name, photo, bio, skills
About: Education, experience, achievements
Skills: Interactive skill bars or charts
Projects: Project cards with GitHub/demo links
Experience: Interactive timeline
Contact: Email and social links
Analytics: Skills, projects, experience, and other profile statistics
Tech Stack: Python + Streamlit + Pandas + Plotly
β€1