Meteostat’s Post

☀️ Weather Insights: CodeSoft's Python Weather Forecast Project! 🌦️ Hello LinkedIn Network, Prepare to embark on a meteorological adventure with CodeSoft's latest project - the Python Weather Forecast! 🚀 In this video post, we'll unveil the meteorological marvel behind this project: 🌡️ **Real-Time Weather Data**: Explore a dynamic weather forecasting tool that taps into live data streams and demonstrates Python's versatility. 💡 **Python Precision**: Discover the Python coding techniques and APIs that fuel this project, ensuring accurate and up-to-date weather information. 🚀 **Weather Enthusiasts**: Whether you're a weather aficionado, a data analyst, or just curious about Python's applications, this project showcases the synergy of technology and meteorology. Join us in this video as we decode the skies with Python. Stay tuned for the full demo, and let's spark a conversation about Python's role in keeping us informed about the weather! Your thoughts and comments are eagerly awaited. Let's forecast and code together! #PythonProgramming #CodeSoftProjects #WeatherForecast #LinkedInVideo #MeteorologyTech

Check out our tutorial on plotting precipitation data with Python, Pandas, and Matplotlib! https://lnkd.in/eDRsUCgt

Python code for plotting phase diagrams for the Realtime Multivariate MJO (RMM) Index. Three prominent events earlier in 2023 led up to the current strong El Nino. https://lnkd.in/gsrws6Sw

A great resource for anyone curious about automating workflows in ArcGIS Pro using ArcPy! I've turned to ArcPy multiple times in my work, but my most used scripts were: - Work through a collection of folders to create an individual image for each folder of images. - Running a batch of ZTV's for multiple windfarms and creating a final cumulative ZTV. - Attribute management - copying attributes from many shapefiles into one formatted table. These are just a few practical applications I used ArcPy for, it's great being able to hit run and get on with other work whilst it runs workflows back-to-back. The possibilities are endless - give it a go!

Python is the backbone of Wet Dog Weather's operations. We drive innovation to deliver cutting-edge weather visualization by leveraging open-source solutions like Python. Read our latest blog post to learn how to harness open source in your weather data workflows. #WetDogWeather #OpenSource #Python #WeatherData https://lnkd.in/gqGqntVr

DLIS files are commonly used for storing and transferring well log and petrophysical data. However, they pose certain challenges in terms of accessibility and exploring their contents, unlike the more straightforward LAS file format. Luckily, Equinor has created a fantastic Python library called dlisio. This library allows you to open any dlis file and explore the different components of it with very little effort, all within a Python environment. In my latest article, I cover a few ways to use some of the functionality within dlisio to explore the contents of a dlis file. We will also see how to convert the contents of the dlis file to a pandas dataframe - a very common data format used within data science. Check it out below. #petrophysics #datascience #python #geoscience https://lnkd.in/ejBFZGTN

Do you want to extract Feature Layers and Tables from a Feature Service in ArcGIS Online to Feature Classes and Tables in a File Geodatabase? We can use ArcPy, or the ArcGIS API for Python, or a combination of both. Check out this blog post to get you started... https://lnkd.in/euErAEJF Interested in learning ArcPy?, check out this course https://lnkd.in/eU9PPG_3 Interested in learning the ArcGIS API for Python to interact programmatically with ArcGIS Online? Check out this course https://lnkd.in/e8htcncs Use JANUARY24 as discount code. #arcgisonline #agol #ago #datamanagement #gis #geospatial #esri #fdm #python #arcgisapiforpython #arcpy