Part 2 plans
Contents
Part 2 plans¶
This page is a list of topics we can consider discussing in part two of the course.
Survey responses¶
Data visualization
Efficient programming
Using classes/objects
Statistics in Python
Data processing
Image processing
Writing code
Plotting different kinds of diagrams maybe even combine different diagrams in one diagram
General statistic operations isotopic calculations with different data sheets and variables
basic things
understanding programming and basic applications in Geology-related projects
Intuitive, sensitive, non-fiction cartography
information that’ll help me better my skills in programming
Learning to program a map or an app that can be helpful for geological data
Handling data with Python vs. traditional means (eg. Excel)
Data visualisation in diagrams
How to fit data into a diagram mined from a publication
Ways to share our work and entrance into channels dedicated to Python relationship with geochemistry
Use of Python and machine learning to clasify, correlate data
Ideas on how we can stay “Warm” in Python programming throughout our PhD years
Basic python
The application of statistics using python
Python for microscopists
Response themes¶
Python essentials¶
Writing code
Basic things
Understanding programming and basic applications in Geology-related projects
Information that’ll help me better my skills in programming
Basic python
Data visualization¶
Data visualization
Plotting different kinds of diagrams maybe even combine different diagrams in one diagram
Intuitive, sensitive, non-fiction cartography (?)
Data visualisation in diagrams
How to fit data into a diagram mined from a publication (?)
Statistics¶
Statistics in Python
General statistic operations isotopic calculations with different data sheets and variables
The application of statistics using python
Using Python like a programmer¶
Efficient programming
Using classes/objects
Data processing
Handling data with Python vs. traditional means (eg. Excel)
Other: Machine learning/AI¶
Image processing (?)
Use of Python and machine learning to clasify, correlate data
Other:¶
Learning to program a map or an app that can be helpful for geological data
Ways to share our work and entrance into channels dedicated to Python relationship with geochemistry
Ideas on how we can stay “Warm” in Python programming throughout our PhD years
Python for microscopists
Suggested topics for part two¶
Python basics review - Part 2, week 2¶
forloopsfunctions
When to use which brackets in Python
(), [], {}
Data visualization - Part 2, week 3¶
Making publication quality plots with Matplotlib
Making your plots accessible
Other suggestions?
Basic geostatistics - Part 2, week 4¶
Reading data from Excel files?
Converting equations to Python code
Calculating derivatives of array data
Other suggestions?
Programming like a pro - Part 2, week 5¶
Batch processing data files
Picking the “right” tools for the job
Common program elements/tasks/challenges
Other ideas - Part 2, week 6¶
Data interpolation?
Linking models and data?
Mining data from tables in PDF documents
Mining graphs from literature, reconstructing them and plotting our data.
Classes in Python
Introduce the basic ideas and provide a simple example
Next steps and useful resources