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Python Fundamentals with Paul Deitel, 2nd Edition

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Free Download Python Fundamentals with Paul Deitel – 2nd Edition (2025–2026) | Full Video Course

Python Fundamentals with Integrated GenAI is a comprehensive, code-intensive Python training course taught by world-renowned instructor Paul Deitel. This updated Second Edition delivers more than 50+ hours of professional video lessons, covering modern Python development, data science, machine learning, deep learning, big data, and Generative AI using OpenAI APIs.




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Course Information

  • Published: September 2025
  • Format: MP4
  • Video: H.264 – 1280x720
  • Audio: AAC – 44.1 kHz – Stereo
  • Language: English
  • Subtitles: EN, DE, FR, ES, IT
  • Duration: 54 Hours 58 Minutes
  • File Size: 10.5 GB
  • Skill Level: Beginner to Intermediate


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What's New in the 2nd Edition (2025–2026)

  • Over 50 hours of updated Python video training
  • Exclusive 2-hour "What's New in Python" lesson (Python 3.8 – 3.12+)
  • New Lesson 18: Building API-Based Python GenAI Applications
  • Coverage of upcoming Python features through Python 3.14
  • Integrated Generative AI: prompting and API programming
  • New lessons marked "New in 2025" or "New in 2026"


Official course updates:
https://deitel.com/python-fundamentals-with-genai-2-e-video-course

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https://www.oreilly.com/videos/python-fundamentals-with/9780135917411/


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Course Overview

Python Fundamentals LiveLessons is a professional-level Python course designed for developers who want a deep, practical understanding of Python programming using IPython and Jupyter Notebooks.

Through hundreds of real-world examples, scripts, and notebooks, you'll master Python syntax, best practices, standard libraries, and popular open-source tools used in data science, AI, and machine learning.

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What You Will Learn

Part I – Python Basics (Updated 2025)

  • System setup for Python 3.13
  • IPython and Jupyter Notebooks
  • Variables, data types, operators, strings, and I/O
  • Control statements (if, for, while)
  • Functions, modules, scope, and arguments


Part II – Core Python Data Structures

  • Lists, tuples, dictionaries, and sets
  • Functional programming (lambda, map, filter, reduce)
  • Array-oriented programming with NumPy
  • pandas Series and DataFrames
  • Data visualization with Seaborn and Matplotlib


Part III – Advanced Python Programming

  • String processing and regular expressions
  • File handling, CSV and JSON
  • Exception handling
  • Object-Oriented Programming (OOP)
  • Data classes, unit testing, and regression basics
  • What's New in Python (f-strings, match-case, walrus operator, type hints, and more)


Part IV – Data Science and NLP

  • Natural Language Processing (NLP)
  • Sentiment analysis
  • Text mining and readability analysis
  • Word clouds and language detection


Part V – Machine Learning, Deep Learning, and Big Data

  • Supervised and unsupervised machine learning
  • Classification, regression, and clustering
  • Deep learning with CNNs and RNNs
  • Big dаta: Hadoop, Spark, NoSQL, and IoT
  • Generative AI with OpenAI APIs


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Lesson 18 – Building API-Based Python GenAI Applications

  • Create OpenAI accounts and API keys
  • Generate and summarize text
  • Sentiment analysis and named-entity recognition
  • Image understanding and generation
  • Speech-to-text and text-to-speech
  • Image editing and style transfer
  • Video generation with OpenAI Sora


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About the Instructor

Paul J. Deitel is CEO and CTO of Deitel & Associates, Inc., an MIT graduate with over 45 years of computing experience. He is one of the world's most respected programming educators and authors, having trained tens of thousands of developers worldwide.

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Why Choose This Python Course?

  • Industry-grade Python training
  • Covers Data Science, AI, and Generative AI
  • Real-world coding examples
  • Continuously updated content
  • Ideal for Python developers and learners



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