Creating Smart Maps with Python and Leaflet Windows Version

Creating Smart Maps with Python and Leaflet Windows Version, available at $54.99, has an average rating of 4.45, with 28 lectures, based on 22 reviews, and has 142 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner and advanced developers or The curious mind It is particularly useful for Beginner and advanced developers or The curious mind.

Enroll now: Creating Smart Maps with Python and Leaflet Windows Version

Summary

Title: Creating Smart Maps with Python and Leaflet Windows Version

Price: $54.99

Average Rating: 4.45

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: R799.99

Quality Status: approved

Status: Live

What You Will 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

Geodjango Application Development for Windows

PostGIS for Windows

Who Should Attend

Beginner and advanced developers

The curious mind

Target Audiences

Beginner and advanced developers

The curious mind

Welcome to the Creating Smart Maps with Python and Leaflet Windows Versioncourse. 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Setup and Installations

Lecture 1: Installing Python on Windows

Lecture 2: Installing PostgreSQL and PostGIS on Windows

Chapter 3: Building a Spatial Database using PostgreSQL and PostGIS

Lecture 1: Creating a Spatial Database

Chapter 4: Building a GeoDjango Application

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

Chapter 5: Writing the GeoDjango Back-end Code

Lecture 1: Adding the settings.py 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

Chapter 6: Building the Front-End using Leaflet.js

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

Chapter 7: Adding the Data

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

Chapter 8: Project Source Code

Lecture 1: Source Code

Instructors

EBISYS R&D
Big Data Engineering

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 2 votes

4 stars: 10 votes

5 stars: 9 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!