On Day 30 we end the #PythonDatavizChallenge. I highly recommend doing a mini-project by building an app or a dashboard from your own dataset to practice your skills. Having an app in your portfolio is a great way to demonstrate your skills to potential employers!

Finally on Day 26 of the #PythonDatavizChallenge, you will learn how to host and publish your #Streamlit web app using Streamlit Cloud. Learn how to protect the API keys, add dependencies and deploy the app youtube.com/watch?v=1j8Ef7…

It's Day 25 of the #PythonDatavizchallenge and you are ready to finally build an interactive mapping app combining all the skills learned in the challenge so far. youtube.com/watch?v=9Oek3P…

With #Streamlit, building apps is easy and fast. On Day 24 of #PythonDatavizChallenge, you will build a Geocoder app that can take an address and display it on the map using #OpenRouteService API. youtube.com/watch?v=hvQFK5…

On Day 23 of #PythonDatavizChallenge you will build a dashboard using #Streamlit and learn the development workflow to incrementally add features and UI widgets. youtube.com/watch?v=401Ntj…

@giswqs We start the Week4 of the #PythonDatavizChallenge by learning about #Streamlit - a #Python package that allows you to create interactive dashboards and apps with just python code youtube.com/watch?v=FF1frI…

@giswqs It's Day 19 of the #PythonDatavizChallenge and we explore the amazing python library #Lonboard to create interactive visualizations from datasets with millions of features youtu.be/SV-UTVqukOc?si…

@giswqs Continuing the exploration of #Leafmap library, you will learn how to download and visualize #OpenStreetMap data in Ana interactive map. Check out the video for Day 18 of the #PythonDatavizChallenge youtu.be/55OHUxcx-YE

It's Day 17 of #PythonDatavizChallenge and today you will learn about a very important and versatile interactive visualization library #Leafmap created by @giswqs youtube.com/watch?v=Zpl7mz…

On Day 16 of #PythonDatavizChallenge you will learn how to use #GeoPandas to create multi-layer interactive #Folium maps youtu.be/J9j2cEbCihA?si…

It's Day 15 of the #PythonDatavizChallenge and we start the second module of the course covering interactive visualization methods. Today you will learn how to use #Folium to create a #Leaflet map of driving directions between 2 cities. youtube.com/watch?v=rXMw3z…

We are halfway through the #PythonDatavizChallenge and it's time for the course assignment. Spend the Days 11 and 12 of the challenge to work through the assignment to create a beautiful rendering of rivers of your country with #Matplotlib youtube.com/watch?v=Z1RngA…

On Day 10 of #PythonDatavizChallenge, you will learn how to use #rioxarray to load, merge and view geospatial rasters. You will also learn how to add labels to plots using #Matplotlib annotations youtube.com/watch?v=7C8ChA…

It's Day 9 of the #PythonDatavizChallenge. Today you will learn about #CartoPy and use it to create a map of the temperature anomaly youtube.com/watch?v=BDWjr0…

We start Week2 of the #PythonDatavizChallenge with an Introduction to #XArray. Learn the XArray terminology and key concepts youtube.com/watch?v=ikR4SA…

Still not too late to start the #PythonDatavizChallenge. It's self-paced and free to join. Commit just 30 mins a day for the next month to learn mapping and data visualization with Python spatialthoughts.com/2024/10/13/pyt…

More to come! Follow my #PythonDatavizChallenge 🌟 #DataScience #30DaysChallenge

We will take a break over the weekend and be back with #PythonDatavizChallenge on Monday. Catch up on the pending tasks from Week1 spatialthoughts.com/2024/10/13/pyt…

On Day 5 of the #PythonDatavizChallenge, you will learn about #Contextily package and how to add various XYZ tiles basemaps to your map renderings. We will create a map of 2017 solar eclipse path with different basemaps. youtube.com/watch?v=IGc6el…

It's Day 4 of the #PythonDatavizChallenge. Today you will use #GeoPandas and #Matplotlib to create a population density map from census data. You will learn how to customize the legend to make it easy to interpret. youtube.com/watch?v=FGD3tb…