Python folium package for ‘satellite’ map

What is folium package in Python?

Folium is a powerful Python library that helps you create several types of Leaflet maps. By default, Folium creates a map in a separate HTML file. Since Folium results are interactive, this library is very useful for dashboard building. You can also create inline Jupyter maps in Folium.

How to install folium library in Python?

folium

1. Installation. $ pip install folium.
2. Documentation. https://python-visualization.github.io/folium/
3. Gallery. There are two galleries of Jupyter notebooks with examples, which you can see using Jupyter’s nbviewer:
4. Contributing. We love contributions!
5. Changelog.
6. Packages and plugins.

How do you plot a map using folium in Python?

Create Folium map

1. [6]: # Stamen Terrain map = folium. Map(location=[13.406, 80.110], tiles=”Stamen Terrain”, zoom_start=9) map.
2. [7]: # OpenStreetMap map = folium. Map(location=[13.406, 80.110], tiles=”OpenStreetMap”, zoom_start=9) map.
3. [8]: # Stamen Toner map = folium.

What is __ package __?

All I want to know is what exactly does __package__ mean



It is the mechanism that enables explicit relative imports. There are three possible categories of values for __package__ A package name (a string) An empty string.
 

Can folium use Google maps?

Quote from video:

Is folium an API?

Folium is designed with simplicity, performance, and usability in mind. It works efficiently, can be extended with a lot of plugins, has a beautiful and easy-to-use API.
 

What is the use of SymPy package?

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible.
 

What is Streamlit package in Python?

Streamlit is an open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time. It is compatible with major Python libraries such as scikit-learn, Keras, PyTorch, SymPy(latex), NumPy, pandas, Matplotlib etc.