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  • 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
  • Geodjango Application Development for Windows
  • PostGIS for Windows

Welcome to the Creating Smart Maps with Python and Leaflet Windows Version course. We'll be building a python GIS application from scratch using a variety of open source technologies. The purpose of this course and many more to follow, is to learn to create geospatial analytics and convert it into a functional application.


In our use case we will be working with residential water consumption data and  we will be applying  data processing techniques to extract transform and load the data into our spatial database. Once we have processed and cleaned the data, we will use it as a data source for building our GeoDjango Web Map Application.


We will be powering our application with a PostgreSQL and PostGIS database. In the Front-End we'll use Bootstrap, JavaScript, Leaflet and Ajax. On the server side we'll be using Python and 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 Windows 10 and Server 2016.


Some skills that you can expect to derive after completing the course are the following:

  • You will learn how to build a Spatial Database using Postgresql and PostGIS.

  • You will learn how to create charts with Chart.js.

  • You will learn to build Web Maps with Leaflet.js.

  • You will learn how to build REST API Endpoints.

  • You will learn some JavaScript programming.

  • You will learn how to build Web Applications using the Django MVC framework.

  • A basic knowledge of Python, Javascript, and GIS
  • A Windows operating system
  • Some coding experience
  • Beginner and advanced developers
  • The curious mind
View More...
  • Section 1 : Introduction 1 Lectures 00:07:30

    • Lecture 1 :
  • Section 2 : Setup and Installations 2 Lectures 00:11:15

    • Lecture 1 :
    • Installing Python in Windows
    • Lecture 2 :
    • Installing PostgreSQL ans PostGIS on windows
  • Section 3 : Building a Spatial Database using PostgreSQL ans PostGIS 1 Lectures 00:05:15

    • Lecture 1 :
    • Creating a Spatial Database
  • Section 4 : Buiding a GeoDjango Application 6 Lectures 00:25:10

    • Lecture 1 :
    • Creating a Python Virtual Environment
    • Lecture 2 :
    • Installing and Configuring GeoDjango and GDAL on Windows Part 1
    • Lecture 3 :
    • Installing and Configuring GeoDjango and GDAL on Windows Part 2
    • Lecture 4 :
    • Installing Visual Studio Code IDE
    • Lecture 5 :
    • Creating a Django Base Application
    • Lecture 6 :
    • Testing the Django Installation
  • Section 5 : Writting the GeoDjango Back-end Code 5 Lectures 00:38:39

    • Lecture 1 :
    • Adding the Code
    • Lecture 2 :
    • Creating a Django Admin User
    • Lecture 3 :
    • Creating the Model
    • Lecture 4 :
    • Downloading the Sample Dataset
    • Lecture 5 :
    • Creating the GeoAdmin and Testing the Spatial Back-end
  • Section 6 : Building the Front-End Using Leaflet.js 7 Lectures 00:37:30

    • Lecture 1 :
    • Adding the Leaflet Config Code
    • Lecture 2 :
    • Adding the Static Files
    • Lecture 3 :
    • Creating the Layout Page Part 1
    • Lecture 4 :
    • Creating the Layout Page Part 2
    • Lecture 5 :
    • Creating the Index Page
    • Lecture 6 :
    • Creating the Index View
    • Lecture 7 :
    • Modifying and Styling the Index Page
  • Section 7 : Adding the Data 5 Lectures 00:40:31

    • Lecture 1 :
    • Creating the Dataset API Endpoints
    • Lecture 2 :
    • Displaying Data on the Map
    • Lecture 3 :
    • Creating the Legend
    • Lecture 4 :
    • Creating the Bar Chart Legend
    • Lecture 5 :
    • Creating the Bar Chart
  • Section 8 : Project Source Code 1 Lectures

    • Lecture 1 :
    • Source Code
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