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5 Students
26 Lessons
Beginner

What You Will Learn?

  • Be able to create a full-stack web GIS application from scratch
  • Be able to use a 3rd party JavaScript charting library
  • Build a full-stack Django Application

Curriculum

3h 38m
Section 1: Introduction
07:30
Section 2: Building a Spatial Database using PostgreSQL and PostGIS
19:44
Installing PostgreSQL and PostGIS Part1
10:00
Installing PostgreSQL and PostGIS Part2
09:44
Section 3: Building a GeoDjango Application
32:04
Installing Python Django in a Virtual Environment
09:51
Installing and Configuring Atom IDE Part1
10:00
Installing and Configuring Atom IDE Part2
02:35
Creating a GeoDjango Application Skeleton
09:38
Section 4: Writing the GeoDjango Back-end Code
45:31
Adding a Spatial Database to our Django Backend
08:43
Updating our django models file
07:56
Registering our model in the admin file Part1
09:27
Registering our model in the admin file Part2
09:48
Registering our model in the admin file Part3
09:37
Section 5: Building the Front-End using Leaflet.js
57:43
Updating the settings file
07:15
Creating the layout page Part 1
09:29
Creating the layout page Part 2
09:52
Creating the layout page Part 3
07:29
Creating the index page Part 1
09:42
Creating the index page Part 2
06:52
Updating the index page
07:04
Section 6: Adding The Data
55:40
Creating datasets
09:59
Displaying data on the map Part 1
09:38
Displaying data on the map Part 2
01:57
Creating a legend
09:43
Creating the barchart legend
05:46
Creating the barchart Part 1
09:34
Creating the barchart Part 2
09:03

Description

Requirements

  • A basic knowledge of Python, Javascript, Linux, and GIS
  • Some coding experience
  • Be willing to learn

About the Instructor

Reviews 0
Students 0
Courses 1

Edwin Bomela is a Big Data Engineer and Consultant, 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.

He is currently a 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.

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