Merge pull request #163 from czi-catalystproject/localise-ep1-images

Localise images from Episode 1

.gitignore

@@ -5,3 +5,4 @@ _build
 .env
 *.mo
 venv
+.DS_Store

episodes/introduction.md

@@ -46,7 +46,7 @@ Interactive computing is a fundamental way in which researchers and educators us
 - developing data-driven and/or mechanistic predictive models
 - visualising results to graphically reveal insights.
 
-Real-time interactivity helps information flow back and forth between the user and their work, creating a dynamic and productive environment for research and educational activity. Project Jupyter is an ecosystem of open-source tools that can provide a web-based interactive computational environment, in the form of "notebooks", for several languages, namely **Ju**lia, **Py**thon and **R** (hence the name Project **Jupy**te**r**). 
+Real-time interactivity helps information flow back and forth between the user and their work, creating a dynamic and productive environment for research and educational activity. Project Jupyter is an ecosystem of open-source tools that can provide a web-based interactive computational environment, in the form of "notebooks", for several languages, namely **Ju**lia, **Py**thon and **R** (hence the name Project **Jupy**te**r**).
 
 :::{image} ../media/episodes/introduction/interactive-computing.png
 :width: 100%
@@ -63,10 +63,9 @@ With the advent of "big data", many researchers and educators encounter limitati
 
 :::
 
-Cloud computing is one way of provisioning the system resources needed to meet this demand. This relies on the sharing of on-demand services usually provided by commercial entities such as AWS, Google Cloud and Microsoft Azure. Academics in research and education are often limited in their capacity to sustainably administrate cloud infrastructure at scale and may also wish to support open-source tools and vendor-agnostic infrastructure to protect scientific reproducibility and encourage effective collaboration. 
+Cloud computing is one way of provisioning the system resources needed to meet this demand. This relies on the sharing of on-demand services usually provided by commercial entities such as AWS, Google Cloud and Microsoft Azure. Academics in research and education are often limited in their capacity to sustainably administrate cloud infrastructure at scale and may also wish to support open-source tools and vendor-agnostic infrastructure to protect scientific reproducibility and encourage effective collaboration.
 
-
-This is where a non-profit initiative such as [2i2c](https://2i2c.org/) can help. 2i2c specialises in managing open Jupyter architecture in the cloud specially designed for communities of practice in research and education using open-source tools that allow them to reproduce environments, code and data on different machines. Users can access large-scale compute and storage as needed and workflows are entirely reproducible and supported by using community-driven, open-source technologies. 
+This is where a non-profit initiative such as [2i2c](https://2i2c.org/) can help. 2i2c specialises in managing open Jupyter architecture in the cloud specially designed for communities of practice in research and education using open-source tools that allow them to reproduce environments, code and data on different machines. Users can access large-scale compute and storage as needed and workflows are entirely reproducible and supported by using community-driven, open-source technologies.
 
 ### JupyterHubs in the Cloud