Python Fundamentals with Paul Deitel, 2nd Edition

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
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
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