Download Udemy – Introduction to Maps in Folium and Python 2020-6

Description

Course Introduction to Maps in Folium and Python. Welcome to the introductory course on maps in Folium and Python. In this course, we will review the various features of the folium library. Folium is a Python mapping library that allows you to quickly create maps with very little and understandable code. We will use this library to create different types of maps for multiple use cases. We’ll explore the most useful objects that the folium library has to offer, from markers, points, measurement controls, tiles, web map tile services, layers, and more. We’ll also do some preprocessing with the pandas library to prepare our data for the needs of the maps we’ll be making. Using all the capabilities of the tools we will use, it is possible to build very advanced map applications with very few lines of code. This course is useful for all experience levels from beginner to advanced professional and it is very easy to get started as we will do, no need for complicated installation and configuration use a single platform that includes everything we need, Like jupyter notebook. You just need to have Python 3 installed and Anaconda as well as an internet connection. In order to download our datasets and libraries. Any operating system can run jupyter notebooks as long as you use the python 3 compiler. This course is done on Windows 10 devices. After making your own maps, you’ll learn how to share them with anyone.

What you will learn in the Introduction to Maps in Folium and Python course

This course is suitable for people who

Details of the Introduction to Maps in Folium and Python course

• Publisher: Udemy
• teacher: EBISYS R&D
• Training level: beginner to advanced
• Training duration: 2 hours and 39 minutes
• Number of courses: 14

Titles of the Introduction to Maps in Folium and Python course

Course prerequisites

• Very basic understanding of Python
• Little or no understanding of GIS
• Very basic understanding of programming
• Basic understanding of data

Course images

Sample video of the course

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794 MB