Top Tweets for #PythonDatavizChallenge
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 https://t.co/QyZMk01W9u
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. https://t.co/bHmY0V3WTA
On Day 23 of #PythonDatavizChallenge you will build a dashboard using #Streamlit and learn the development workflow to incrementally add features and UI widgets. https://t.co/P3kWcIAH1h
@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 https://t.co/nFcHPF3mtZ
@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 https://t.co/PZbOxYD5um
@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 https://t.co/Jd0rGcFK63
It's Day 17 of #PythonDatavizChallenge and today you will learn about a very important and versatile interactive visualization library #Leafmap created by @giswqs https://t.co/q5MhmW0oo4
On Day 16 of #PythonDatavizChallenge you will learn how to use #GeoPandas to create multi-layer interactive #Folium maps https://t.co/UsgkFSYYgY
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. https://t.co/HDU5emHLBT
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 https://t.co/vkEFx6GoyW
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 https://t.co/Hy9OF522a3
It's Day 9 of the #PythonDatavizChallenge. Today you will learn about #CartoPy and use it to create a map of the temperature anomaly https://t.co/LufSKq0IGT
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 https://t.co/9aTO7xIr6a
🚀🌍 30 Days of Mapping & Data Viz with Python!
Day 1️⃣: Starting my challenge to #master #mapping and #dataviz with #Python! Let's dive in! 💪
Day 2️⃣: Using #GoogleColab for all exercises—no installs needed! Created cool plots with #matplotlib. 🔴🟢
@spatialthoughts
We will take a break over the weekend and be back with #PythonDatavizChallenge on Monday. Catch up on the pending tasks from Week1 https://t.co/9aTO7xIr6a
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. https://t.co/8Ch9MFJsAD
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. https://t.co/IIUzKWXlMO
It's Day 2 of #PythonDatavizChallenge. We start by learning the basics of the Google Colab environment. You'll also get to know some best practices and tips on installing packages and using the cloud resources. https://t.co/sG6qc2ccLE
Want to level up your #Python Dataviz skills? I am launching our Mapping and Data Visualization with Python course on YouTube and designed a free #PythonDatavizChallenge where you spend 30 mins a day for the next 30 days to learn a new skill. Start at https://t.co/9aTO7xIr6a
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