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Chapter 01 - Jupyter Notebooks.ipynb
Chapter 01 - Jupyter Notebooks.ipynb
 
 
Chapter 02 - Getting Started with Variables and Values.ipynb
Chapter 02 - Getting Started with Variables and Values.ipynb
 
 
Chapter 03 - Basic Data Types (Integers and Floats).ipynb
Chapter 03 - Basic Data Types (Integers and Floats).ipynb
 
 
Chapter 04 - Strings.ipynb
Chapter 04 - Strings.ipynb
 
 
Chapter 05 - Boolean Expressions and Conditions.ipynb
Chapter 05 - Boolean Expressions and Conditions.ipynb
 
 
Chapter 06 - Core concepts of containers.ipynb
Chapter 06 - Core concepts of containers.ipynb
 
 
Chapter 07 - Lists.ipynb
Chapter 07 - Lists.ipynb
 
 
Chapter 08 - Sets.ipynb
Chapter 08 - Sets.ipynb
 
 
Chapter 09 - Comparison of lists and sets.ipynb
Chapter 09 - Comparison of lists and sets.ipynb
 
 
Chapter 10 - Looping over containers.ipynb
Chapter 10 - Looping over containers.ipynb
 
 
Chapter 11 - Dictionaries.ipynb
Chapter 11 - Dictionaries.ipynb
 
 
Chapter 12 - Functions and scope.ipynb
Chapter 12 - Functions and scope.ipynb
 
 
Chapter 13 - Pandas Introduction.ipynb
Chapter 13 - Pandas Introduction.ipynb
 
 
Chapter 14 - Pandas Data Structures.ipynb
Chapter 14 - Pandas Data Structures.ipynb
 
 
Chapter 15 - Pandas Indexing and Selecting.ipynb
Chapter 15 - Pandas Indexing and Selecting.ipynb
 
 
Chapter 16 - Pandas Advanced Indexing.ipynb
Chapter 16 - Pandas Advanced Indexing.ipynb
 
 
Chapter 17 - Pandas Groupby Operations.ipynb
Chapter 17 - Pandas Groupby Operations.ipynb
 
 
Chapter 18 - Import, Read&Write, CSV.ipynb
Chapter 18 - Import, Read&Write, CSV.ipynb
 
 
Chapter 19 - Intro to Quantitative Linguistic Methods.ipynb
Chapter 19 - Intro to Quantitative Linguistic Methods.ipynb
 
 
Chapter 20 - Statistical Significance in Linguistics.ipynb
Chapter 20 - Statistical Significance in Linguistics.ipynb
 
 
Chapter 21 - Meat, Bread, Gold and Semantic Vectors.ipynb
Chapter 21 - Meat, Bread, Gold and Semantic Vectors.ipynb
 
 
Chapter 22 - More Statistics and Visualization.ipynb
Chapter 22 - More Statistics and Visualization.ipynb
 
 
Chapter 23 - Corpus Analysis with Text-Fabric.ipynb
Chapter 23 - Corpus Analysis with Text-Fabric.ipynb
 
 
Chapter 24 - NLP Pipeline with NLTK.ipynb
Chapter 24 - NLP Pipeline with NLTK.ipynb
 
 
Chapter 25 - More about Natural Language Processing Tools (spaCy).ipynb
Chapter 25 - More about Natural Language Processing Tools (spaCy).ipynb
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
hello_world.py
hello_world.py
 
 
the_program.py
the_program.py
 
 
the_program_v2.py
the_program_v2.py
 
 
utils.py
utils.py
 
 
utils_functions_ch.py
utils_functions_ch.py
 
 

README.md

Lessons

For the schedule of these lessons, see the course schedule

This material is heavily derived from the Python for Text Analysis course at the Vrije Universiteit Amsterdam. To see the original context of that material, click here.

Chapters 1–11 are largely copied from the VU course, as these cover the basics. Some subsequent chapters are also borrowed, but much of the material from chapter 12-on is unique to this course. Care is taken to indicate for each notebook which material is copied or borrowed. The original license from the VU course is also included in this folder.