Foundations of Python for NLP Engineering
Master Python fundamentals and essential NLP libraries to build robust language-understanding systems.
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Core Python for Text Processing
Unit 1: Python Basics for Text
First Steps with Python
Variables & Strings
Unit 2: Organizing Text Data
Lists: Ordered Text
Tuples & Sets: Unique Text
Dictionaries: Key-Value Text
Unit 3: Controlling Program Flow
Decisions with If/Else
Loops: Repeating Actions
Functions: Reusable Code
Unit 4: Advanced Text Operations
Regex: Pattern Matching
Files: Reading & Writing
Introduction to NLP Libraries and Text Preprocessing
Unit 1: Structuring Code with OOP
Objects & Classes
Methods & Attributes
Inheritance Basics
Unit 2: Getting Started with NLP Libraries
NLTK: Your First Steps
spaCy: A Modern Approach
Unit 3: Essential Text Preprocessing
Tokenization: Breaking Text
Normalizing Text
POS Tagging: Word Roles