[Video]Colab Notebooks for Python for Data Science by Pearson
Last updated May 28, 2026
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README
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Python For Data Science
- Interactive Jupyter Book, Website and Colab Notebooks for Pearson Video
- Watch Python for Data Science Video
TOC: Python For Data Science
- Lesson 2: Introduction to Colab
- Lesson 3: Basics
- Lesson 4: Strings
- Lesson 5: Python Data Structures
- Lesson 6: Data Conversion Recipes
- Lesson 7: Execution Control
- Lesson 8: Functions
- Lesson 9: Data Science Libraries
- Lesson 10: Functional Programming
- Lesson 11: Lazy Evaluation
- Lesson 12: Pattern Matching
- Lesson 13: Sorting
- Lesson 14: I/O
- Lesson 16: Case Studies
Pragmatic AI Labs
These notebooks and tutorials were produced by Pragmatic AI Labs. You can continue learning about these topics by:
- Buying a copy of Pragmatic AI: An Introduction to Cloud-Based Machine Learning
- Watching 8+ Hour Video Series on Safari: Essential Machine Learning and AI with Python and Jupyter Notebook
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Additional Related Topics from Noah Gift
His most recent books are:
- Pragmatic A.I.: An introduction to Cloud-Based Machine Learning (Pearson, 2018)
- Python for DevOps (O'Reilly, 2020).
- Cloud Computing for Data Analysis, 2020
- Testing in Python, 2020
- Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)
- AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)
- Python for Data Science Complete Video Course Video Training (Pearson, 2019)
- AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)
- Building A.I. Applications on Google Cloud Platform (Pearson, 2019)
- Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)
- Data Engineering with Python and AWS Lambda (Pearson, 2019)
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