Python for Librarians: Glossary

Key Points

Python introduction

  • Core concepts in python: Python interpreter, data types, operators, functions.
Starting With Data

  • Core concepts in python: Python libraries, Pandas DataFrames, working with data.
Indexing, Slicing and Subsetting DataFrames in Python

  • Indexing & Slicing.
Data Types and Formats

  • Types of data: numeric (integers and floats), character, datetime.

  • Missing data: how to detect and work with missing data.
Combining DataFrames with pandas

  • Concatenating data

  • Data output

  • Joining DataFrames
Data workflows and automation

  • Loops.

  • Functions.
Plotting Your Data - Matplotlib

  • Line graphs, scatter plots.
Plotting Your Data - Pandas

  • Line graphs, box plots, bar graphs.
Data Ingest & Visualization - Matplotlib & Pandas

  • Load data.

  • Clean data.

  • Show data.
Accessing SQLite Databases Using Python & Pandas

  • Using SQLite with Pandas.

Glossary

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