Python Philippines (PythonPH)’s Post

What's the most optimal route from geographical center of Switzerland to every municipality in Switzerland? Here I've calculated the optimal route, by car, from a little alp in Uri, Älggi-Alp, to every 'reachable' municipality in Switzerland. I love seeing the difference in the density of municipalities north and south of the Alps! To see how this was done, the tutorial will be up later on www.arthuradams.ch, and check out my profile for more interesting swiss maps! All data was sourced from OSM and #swisstopo and calculated with the network analysis tool Pandana in Python. Stay tuned for more! #switzerland #GIS

🐍🛰️🌀 Python + Google Earth Engine in action! Created this timelapse of Hurricane Milton using yesterday's data from NOAA's GOES-16 satellite. Processing satellite imagery to visualize hurricanes. #EarthObservation #Python #GEE #NOAA #HurricaneMilton

🌍 Just finished watching Dr.Qiusheng Wu’s insightful tutorial on visualizing Maxar satellite imagery with Python! His approach to mapping Hurricane Helen and Hurricane Milton was a masterclass in geospatial data analysis. 🚀 Dr. Wu’s breakdown made complex GIS techniques accessible, showcasing how to leverage Python for powerful visual storytelling. Thank you, Dr. Wu, for continually sharing your expertise and empowering us with tools to navigate geospatial data. Highly recommend this tutorial to anyone looking to elevate their GIS skills! https://lnkd.in/eJexxcyj Qiusheng Wu #GIS #Python #DataVisualization

🚀 Check out our Webinar on 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗔𝗹𝗴𝗮𝗹 𝗕𝗹𝗼𝗼𝗺𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗦𝗮𝗻𝗱𝗯𝗼𝘅 using #Dunia. 🌿 Johannes Schmid from GeoVille Information Systems and Data Processing GmbH will dive deeper into the usage of #Sentinel3 for marine chlorophyll analysis. 👇 Click on the Post of Space in Africa below to find the registration link.

DAY 5: Problem of the Day : Find the Number of Islands Language: Python Proud to maintain a 5-day #streak and earned a Geekbit! Today's challenge involved a grid of land ('1') and water ('0'), where the task was to identify and count islands. An island is a group of connected land pieces that can be adjacent either horizontally, vertically, or diagonally. 𝗞𝗲𝘆 𝗖𝗼𝗻𝗰𝗲𝗽𝘁: We had to explore all 8 possible directions to ensure every part of the island was counted. Each time we found a new unvisited land mass, we incremented the island count. This type of problem is great for improving understanding of graph traversal algorithms like DFS and tackling real-world geographical scenarios like flood maps or network clusters! Excited to keep this streak going on GeeksforGeeks! #ProblemSolving #POTD #CodingChallenge #Python #Algorithms #Islands #GeekBit #DailyStreak #DFS

I want to share that I have expanded my knowledge through the Bootcamp "Management and Analysis of river basins: advanced tools and techniques". During this Bootcamp, I have learnt how to apply R and Python in QGis to estimate geomorphological parameters, land use change and climate change scenarios in a river basin. These estimations are essential to determinate the influence in the hydrologic response and water balances... #R #Python #GeographicInformationSystem #Riverbasin #Climatechangescenerios #Hydrologicresponse #Waterbalances

☀️ Introducing My Weather Forecast App! Excited to unveil my latest project: a Weather Forecast application built using Python! 🌦️ With this tool, you can get real-time weather information for any city around the world. Simply enter the city name, and you'll receive details such as temperature, humidity, wind speed, and weather description. Check it out on GitHub and stay updated with the weather wherever you go! 🌍 🔗https://lnkd.in/dsSqTjkN #PythonProgramming #WeatherForecast #CodSoft #ProjectShowcase

🔥 Analyzing Wildfire Activities in Australia 🔥 I created a visualization to showcase the distribution of estimated fire brightness across different regions in Australia. The stacked histogram provides a clear comparison of fire activities in NSW, NT, QL, SA, TA, VI, and WA. If you're interested in the code and the detailed analysis, check out my GitHub: https://lnkd.in/emkESxKD. #DataScience #DataVisualization #WildfireAnalysis #Australia #Python #Seaborn #Folium #DataAnalytics

Would you be ready to get your scales on? 🐍✨ It's Snake Day! From the mesmerizing patterns of the python to the lightning-fast strike of the viper, these incredible creatures are as fascinating as they are vital to our planet. Did you know some snakes can glide through the air or even play dead? Let's celebrate their diversity and importance in our ecosystems. Share your favourite snake facts below! 🐍💚 #SnakeDay #SlitherIntoWonder #ReptileLove #NatureNerds #AmiyaEnergy #Savetheecosystem #savethenature #solarpvmalaysia #tnb

A tutorial that might be of your interest after an extreme precipitation event:  Flood simulation from direct rainfall with Python and Landlab - Tutorial Give it a like! https://lnkd.in/e7Tx9fZX