TOP Python GIS Libraries SHOWDOWN: Folium, Plotly, GeoPandas, Bokeh! скачать в хорошем качестве

TOP Python GIS Libraries SHOWDOWN: Folium, Plotly, GeoPandas, Bokeh!

BUILD Interactive Dashboards with TOP Python GIS Libraries! #datascience #datavisualization #gis #python #Folium #Plotly #Geopandas #Bokeh #Panel Create interactive Python dashboards with top GIS libraries fast and efficiently. In this video, we will explore the best practices and tools to build dynamic and interactive dashboards using popular GIS libraries in Python. Learn how to visualize and analyze geospatial data in real-time, and create custom dashboards that meet your specific needs. Whether you're a data scientist, GIS analyst, or developer, this video will show you how to take your dashboard creation skills to the next level. From data preparation to deployment, we'll cover it all. So, if you want to create interactive Python dashboards with top GIS libraries fast, then this video is for you. Join me as I take on the challenge of creating interactive Python dashboards using top GIS libraries, but I have to do it in record time! 0:00 Introduction 1:40 Folium: Python Library Pros and Cons: Easy, Only for Maps Use Cases: Interactive Maps 3:45 Plotly and Dash Choropleth, Scatter Maps and Charts Pros and Cons Uses of Plotly Dash 4:58 GeoPandas Library Geospatial Data Analysis, Static Maps Uses, Pros and Cons 6:24 Bokeh Custom Interactive Visualizations Pros, Cons and Uses 7:30 Panel : Python Dashboards Pros and Cons Case Studies 8:41 Conclusion Did you know that creating interactive dashboards in Python can be done in just a few minutes using the right GIS libraries? In this video, you'll learn how to harness powerful GIS libraries in Python to create stunning interactive dashboards quickly and efficiently. Many developers struggle with the complexity and time consumption of building interactive visualizations, which can be discouraging. We'll explore popular GIS libraries such as Dash, Folium, and Plotly, and demonstrate how they can streamline your dashboard development process. Watch as we build a live interactive dashboard step-by-step, showing off the capabilities of these libraries in real-time. By the end of this video, you'll have a clear understanding of how to create interactive dashboards fast using Python GIS libraries. If you found this video helpful, be sure to like, subscribe, and check out my other videos for more tips on Python and GIS. This channel is designed to empower IT professionals and students, especially African and other minorities in IT. We provide tutorials, coding challenges, career advice, and more to help you achieve your tech goals. Subscribe today and join our growing community! Follow me on LinkedIn: www.linkedin.com/comm/mynetwork/discovery-see-all?usecase=PEOPLE_FOLLOWS&followMember=dkvitus #tech #technology #coding #programming #developer #softwaredevelopment #webdevelopment #mobiledevelopment #AI #machinelearning #datascience #cybersecurity #cloudcomputing #Africa #AfricanTech #TechInAfrica #AfricanDeveloper #AfricanProgrammer #AfricanProgrammer #AfricanTechie #AfricaInnovation #AfricaStartup #CameroonTech #CameroonianDeveloper #CameroonProgrammer #YaoundeTech #DoualaTech #LimbeTech #BueaTech #SoftwareDevelopmentCameroon #WebDevelopmentCameroon #MobileDevelopmentCameroon #DataScienceCameroon #AI Cameroon #NaijaTech #NigerianDeveloper #NigerianProgrammer #LagosTech #AbujaTech #SoftwareDevelopmentNigeria #WebDevelopmentNigeria #MobileDevelopmentNigeria #DataScienceNigeria #AINigeria #IndiaTech #IndianTechCommunity #IndianDeveloper #CodingInIndia #PythonIndia #JavaIndia #AndroidDev #IOSDev #WebDev #DataScienceIndia #MachineLearningIndia #AIIndia