Python Foundation for Spatial Analysis (Online) | Event in undefined | Townscript
Python Foundation for Spatial Analysis (Online) | Event in undefined | Townscript

Python Foundation for Spatial Analysis (Online)

Sep 18 - 19 | 03:00 PM (IST)
Online Event

Event Information

This workshop is offered as a live online class in an APAC and EMEA-friendly slot. We will have 2 sessions of 5-hours each over 2 days. (Note: Being a long class, we will provide multiple breaks during each session)


Day 1: 18 September 2021, 3pm-8pm IST (5 hours) [Check Local Time

Day 2: 19 September 2021, 3pm-8pm IST (5 hours) [Check Local Time]



Instructor: Ujaval Gandhi

TA: Santhosh M


This hands-on workshop covers Python from the very basics. Suitable for GIS practitioners with no programming background or python knowledge. The course will introduce participants to basic programming concepts, libraries for working with spatial data, geospatial APIs and techniques for building spatial data processing pipelines. 


Learning programming takes a lot of practice and months of continuous learning. This class is intended to jump-start your journey by building a foundation and giving you the resources to become a proficient programmer. Each class is limited to a small batch to ensure individual attention, support, and mentoring are given to each participant.


Day 1: Getting familiar with Python

  • Setting up the environment using Anaconda and Jupyter notebooks
  • Programming basics - variables, data structures, functions, flow control
  • Installing and using libraries (geopy)
  • Using web APIs (openrouteservice)


Day 2: Scaling Spatial Analysis 

  • Reading and writing files (file I/O, csv)
  • Introduction to modern data science libraries (numpy, pandas)
  • Introduction to spatial analysis (geopandas)
  • Using raster data (rasterio)
  • Building scripts and automating workflows


Class Project:

  • Each participant will be assigned a project to complete within 2 weeks of the class. 1-1 mentoring and email support will be available during the project. (Estimated time for project: 4-8 hours)
  • Participants must complete the project to receive a completion certificate.


This class with NOT cover data visualization libraries. We will be using QGIS for visualizing the data.


Learn more about the course content, student reviews, and project expectations on the Course Homepage.


About the Instructor:

Ujaval Gandhi is the founder of Spatial Thoughts. He has 15+ years of industry experience and experience building scalable data processing pipelines using Python at Google.

See the full profile at https://spatialthoughts.com/about


Logistics

  • Participants will use their laptop.
  • The workshop will be conducted over Zoom. Meeting ID and password will be shared by email. 


Refund policy:

  • You can cancel your registration up to 7-days before the class and get a full refund.
  • For last-minute cancellations, we will try our best to accommodate you to a future batch of this course without an additional charge.
  • In the unlikely event that we need to canceled or move the training to a different date, you will be provided a 100% refund.


Student discounts and scholarships available. See eligibility criteria and application process.


Venue

This is an online event
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