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Think and Compute: a Primer for Digital Humanists

Preface

Try. Make mistakes. Learn. Repeat.

Part 1: Basics of Computation

Introduction to Computational Thinking
Algorithms
Computability
Part 1: Exercises

Part 2: Basics of Programming

Programming Languages
Organising information: ordered structures
Brute-force algorithms
Organising information: unordered structures
Recursion
Part 2: Exercises

Part 3: A Python Laboratory

Getting started with Python
Variables, types, and operators
Lists, loops, conditionals, and functions
Sets, dictionaries, and data organization
Algorithm exercises: brute-force
Algorithm exercises: recursion

Part 4: Additional Algorithmic Techniques and Data Structures

Divide and conquer algorithms
Dynamic programming algorithms
Organising information: trees
Backtracking algorithms
Organising information: graphs
Greedy algorithms
Part 4: Exercises

Part 5: Laboratory on Divide-and-Conquer and File Handling

Algorithm exercises: divide-and-conquer
Working with files

Part 6: Managing Data in Python

Data formats and methods for storing data in Python
Implementation of data models via Python classes
Introduction to Pandas
Descriptive statistics and graphs about data using Pandas

Part 7: A Laboratory on Managing Data

Working with data in pandas
Modelling data with Python classes

Part 8: Databases

Configuring and populating a relational database
Configuring and populating a graph database
Interacting with databases using Pandas

Repository
Open issue

Index

By Silvio Peroni, Ivan Heibi, Arcangelo Massari

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