Create Smart Maps In Python and Leaflet
What you'll learn
- Be able to create a full-stack web GIS application from scratch
- Build a full-stack Django Application
- Be able to use a 3rd party JavaScript charting library
Requirements
- A basic knowledge of Python, Javascript, Linux, and GIS
- Some coding experience
Description
Welcome to the Smart Map In Python Tutorial Series. In this tutorial series
we'll be building a python GIS application from scratch using a variety of open
source technologies. The purpose of this tutorial and many more to follow, is to
take geospatial analytics and convert it into a functional application.
We will be powering our application with a PostgreSQL and PostGIS database. In
the front-end we'll use Bootstrap, JavaScript and Ajax. On the server side we'll be
using Python 3 Django combined with use of scientific libraries like pandas, for
our data transformation and conversion operations. The operating system that we
will be working on is Ubuntu Linux 16.04.
Who this course is for:
- Beginner and advanced developers
Instructor
![EBISYS R&D](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.1 Instructor Rating
- 436 Reviews
- 8,618 Students
- 15 Courses
Big Data Engineering and Consulting, involved in multiple projects ranging from Business Intelligence, Software Engineering, IoT and Big data analytics. Expertise are in building data processing pipelines in the Hadoop and Cloud ecosystems and software development.
Currently consulting at one of the top business intelligence consultancies helping clients build data warehouses, data lakes, cloud data processing pipelines and machine learning pipelines. The technologies he uses to accomplish client requirements range from Hadoop, Amazon S3, Python, Django, Apache Spark, MSBI, Microsoft Azure, SQL Server Data Tools, Talend and Elastic MapReduce.