Top Tweets for #MetPyMonday
Need to know which METAR station is closest to your point of interest? Checkout this week's #metpymonday
We show you how to:
✅ Build a clean station list from MetPy
✅ Find the nearest station using KDTree
✅ Find distance with GeoPandas
#Python
https://t.co/rtqNV5rQhG
Tired of downloading the same data over and over? In our latest #MetPyMonday, we show you how to build a local cache for NWS soundings! Learn how to automate your data retrieval and streamline your workflow in just a few minutes. https://t.co/bW5fDIAoxl
🌍 New #MetPyMonday! 🚀
This week, we’re mapping wind roses on OpenStreetMap using CartoPy! 📊🌬️
✅ Extract & plot wind data
✅ Overlay wind roses on real-world maps
✅ Customize map layers for meteorology & GIS
Watch now! 🎥 https://t.co/qsF3zAKtKN
New #MetPyMonday! 🌍 Learn how to plot wind roses using Python! 📊
✅ Analyze wind patterns in Denver
✅ Create single & multi-panel wind rose plots
✅ Improve your meteorological visualizations
Watch now: https://t.co/nPjWR5LaOd
#Python #DataScience #WindRose #MetPy
In this MetPy Mondays episode, learn how to make your plots smarter by setting units as Matplotlib axis properties! Stop manually converting your data and let Python handle it for you. #metpymonday https://t.co/87r83jbF1d
Learn how to customize SkewT diagrams based on a recent question on GitHub! #Metpymonday #Meteorology #PythonForWeather #AtmosphericScience #DataVisualization https://t.co/LeQB59HfLZ
🌍🔍 New #MetPyMonday from @Unidata! Learn how to handle time zones in #Python using zoneinfo—perfect for geophysics, data logging, and analysis. Convert time zones, handle daylight savings, and keep your data workflows seamless. Watch here: https://t.co/9vkHRCGn1Z
#PythonTips
🚀 New #MetPyMonday video alert! 🌍⏰ Learn how to handle time zones in #Python using zoneinfo! We cover timezone conversions, daylight savings, and essential tricks to keep your datetime data accurate—no pytz needed! Watch now! #PythonTips #DataScience https://t.co/HKGFHZUHB8
This week we see how to use Python and MetPy to help our students understand the concept of atmospheric scale height and experiment with the parameters of the equation. #MetPyMonday https://t.co/Idw52MObIW
We often see bugs from programmers not fully understanding copies in Python. This week we clear it up with a deep dive on when to assign, when to copy, and when to deep copy. #metpymonday https://t.co/ITUD2c9sAo
MetPy can now calculate DCAPE - see how to do it in just one line on this week's #MetPyMonday! https://t.co/6S9ff6nzDk
MetPy version 1.6.0 is now out! Learn what's new and see a snazzy new example! #MetPyMonday https://t.co/6z0qhR8qYZ
Learn how to combine declarative and non-declarative plotting in #metpy to create a surface map with METARs and frontal analysis! #metpymonday https://t.co/wU7hqdOJ1h
This week learn how to turn your favorite script into a multi-platform executable using pyinstaller! #metpymonday https://t.co/CgzYkOupPT
This week we take GFS data and calculate and plot the geostrophic and ageostrophic components of the wind. #MetPyMonday https://t.co/ZwMOkh22Av
In this #MetPyMonday tutorial, you'll learn how to create visually appealing maps featuring major US cities using the popular SimpleMaps CSV file. https://t.co/7RRGOG2QrQ
Which sounding archive is best for your project? Find out on this week's #MetPyMonday https://t.co/OPG98JBJjX
Join us for a new #MetPyMonday video where we unlock the potential of the defaultdict class, simplifying code and handling missing keys. https://t.co/cWrUXwgkG2
🌪️ Don't miss the new MetPy Monday tutorial on our YouTube channel, showing you how to use mouse click events to draw weather fronts and other features on a map with Python. 🗺️#MetPyMonday #WeatherVisualization #PythonProgramming https://t.co/Q7aDzngigQ
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