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This collection of materials was developed for the University of New Mexico Libraries' Code & Coffee workshop series to provide a high-level introduction to programming concepts illustrated with the Python programming language. The workshop content is contained in a collection of Jupyter Notebooks:
Conceptual Overview: Programming Concepts.ipynb
Surname analysis example: Name_Data.ipynb
Library shelf space analysis example: Space Analysis.ipynb
IR Keywords Versus IR "Aboutness" example [no longer functional due to decommissioning of UNM DSpace instance]: IR Keywords Versus IR "Aboutness".ipynb
Why learn the basic principles of programming?¶
Thinking algorithmically (a key element in the process used in developing programming solutions) is a powerful problem solving skill that is reinforeced with practice. Practicing programming is great practice.
- Defining a problem with sufficient specificity that a solution can be effectively developed
- Defining what the end-product of the process should be
- Breaking a problem down into smaller components that interact with each other
- Identifying the objects/data and actions that are needed to meet the requirements of each component
- Linking components together to solve the defined problem
- Identifying potential expansion points to reuse the developed capacity for solving related problems
- Capabilities to streamline and automate routine processes through scripting are ubiquitous
- Query languages built into existing tools (e.g. Excel, ArcGIS, Word)
- Specialized languages for specific tasks (e.g. R, Pandoc template language, PHP)
- General purpose languages for solving many problems (e.g. Bash shell, Perl, Python, C#)
- Repeatabilty with documentation
- Scalability
- Portability
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University of New Mexico Research Data Services
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