Minimal Python (The book + Code Samples IPython Notebooks)
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Minimal Python

About the Book

If you are reading this book you may be interested in programming for the first time. Maybe it isn't your first time trying to learn to program either? This book is very different than other books that claim to teach you programming. It eliminates a large part of Python that you simply don't need.

Even books that have "learn" in the title introduce readers to hopelessly complex topics like object-oriented programming or concurrency. It turns out YAGNI (You Ain't Gonna Need It). Why teach students topics they won't use either ever, or not for a few years?

Don't worry if you failed before, you may have read a book written by an expert for an expert. Let's fix that and teach you just what you need to get started in a career in Data Science, Data Engineering, Software Engineering or Cloud Computing.

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About the Authors

Noah Gift
Noah Gift

Noah Gift lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, and the Graduate Data Science program at UC Berkeley and the UC Davis Graduate School of Management MSBA program, and UNC Charlotte Data Science Initiative. He is teaching and designing graduate machine learning, A.I., Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students. 

Noah is a Python Software Foundation Fellow.  He currently holds the following industry certifications for AWS:  AWS Subject Matter Expert (SME) on Machine LearningAWS Certified Solutions Architect, and AWS Certified Machine Learning SpecialistAWS Certified Big Data Specialist, AWS Academy Accredited Instructor, AWS Faculty Ambassador.  He also is certified on both the Google and Azure platform: Google Certified Professional Cloud ArchitectCertified Microsoft MTA on Python. He has published over 100 technical publications including multiple books on subjects ranging from Cloud Machine Learning to DevOps. Publications appear in Forbes, IBM, Red Hat, Microsoft, O'Reilly, Pearson, Udacity, Coursera,, and DataCamp. Workshops and Talks around the world for organizations including NASA, PayPal, PyCon, Strata, O'Reilly Software Architecture Conference, and FooCamp. As an SME on Machine Learning for AWS, he helped created the AWS Machine Learning certification.

He has worked in roles ranging from CTO, General Manager, Consulting CTO, Consulting Chief Data Scientist, and Cloud Architect. This experience has been with a wide variety of companies: ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios, and Linden Lab, and industries: Television, Film, Games, SaaS, Sports, Telecommunications. He has film credits in many major motion pictures for technical work, including Avatar, Spider-Man 3, and Superman Returns.

He has been responsible for shipping many new products at multiple companies that generated millions of dollars of revenue and had a global scale. Currently, he is consulting startups and other companies, on Machine Learning, Cloud Architecture, and CTO level consulting as the founder of Pragmatic A.I. Labs.

His most recent books are:

His most recent video courses are:

His most recent online courses are:

You can follow Noah Gift on social media and on the web at:

Alfredo Deza
Alfredo Deza

Alfredo Deza is a passionate software engineer, avid open source developer, Vim plugin author, photographer, and former Olympic athlete. He has given several lectures around the world about Open Source Software, personal development, and professional sports. He has rebuilt company infrastructure, designed shared storage, and replaced complex build systems, always in search of efficient and resilient environments. With a strong belief in testing and documentation, he continues to drive robust development practices wherever he is.

As a spirited knowledge-craving developer Alfredo can be found giving presentations in local groups about Python, file systems and storage, system administration, and professional sports.

His most recent publication is Python For DevOps (O'reilly), and you can follow him on LinkedIn.


The Book
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  • English

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The book + Code Samples IPython Notebooks

Get a thorough introduction with interactive examples that expand and reuse samples from the book. These IPython notebooks can be opened with Google's Colab as well as locally in your computer.

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Bundles that include this book

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5 Books
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Table of Contents

  • Introduction
  • Chapter 1: Learn to execute commands in Python
    • Execute Commands in Colab Notebook
    • Write procedural code
    • Use simple expressions and variables
    • Work with the built-in types
    • Printing
    • Perform basic math operations
    • Use classes and objects with dot notation
    • Learn to loop with for loops
    • Repeat with while loops
    • Learn to handle exceptions
    • Use conditionals
    • Conclusion
  • Chapter 2: Learn to store data
    • Is all about state
    • Lists
    • Tuples
    • List comprehensions
    • The fantastic dictionary
    • Sets
  • Chapter 3: Learn to create functions
    • What can you do with a function?
  • Chapter 4: Test your functions
    • Don’t use unittest
    • Pytest
    • Questioning testing
  • Chapter 5: Build a command-line tool with Click
    • Useful basics
    • Standard library tools
    • Introduction to Click
    • Recommendations
  • Chapter 6: Build a web application with Flask
    • HTTP Basics
    • The most simple web application
    • URLs to Python code
    • Creating an application
  • Chapter 7: Do some data science with Pandas
    • Data Science Workflow
    • Ingest
    • EDA
    • Date-based EDA
    • State-Based Analysis
    • Search for Features: Political, Health and Finance
  • Chapter 8: Data Science Libraries
    • Learn numpy
    • Learn sklearn
    • Learn pandas
    • Learn tensorflow
    • Use seaborn for 2D plots
    • Specialized Visualization Libraries
    • Learn Natural Language Processing Libraries
    • 2D Plots
    • Protein-Fat-Carb 3D Plot
  • Chapter 9: How to get a job in tech
    • Build a real portfolio project and share it
    • User experience
    • Tests
  • Chapter 10: Case Studies and War Stories
    • War Story: Multi-inheritance hell
    • Interview Question Breakdown: Greedy Coin
    • Interview Question Breakdown: Traveling Salesman problem
    • Interview Question Breakdown: Introduction to Big O notation in Python
    • Interviewing
    • Good interviews

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