Python Fundamentals with Paul Deitel, 2nd Edition

Free download скачать 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
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[*]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)
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[*]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"
[/list]

Official course updates:

Код:

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

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Код:

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)
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[*]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
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Part II - Core Python Data Structures
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[*]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
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Part III - Advanced Python Programming
[list]
[*]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)
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Part IV - Data Science and NLP
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[*]Natural Language Processing (NLP)
[*]Sentiment analysis
[*]Text mining and readability analysis
[*]Word clouds and language detection
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Part V - Machine Learning, Deep Learning, and Big Data
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[*]Supervised and unsupervised machine learning
[*]Classification, regression, and clustering
[*]Deep learning with CNNs and RNNs
[*]Big Data: Hadoop, Spark, NoSQL, and IoT
[*]Generative AI with OpenAI APIs
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Lesson 18 - Building API-Based Python GenAI Applications
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[*]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 СЕО (Поисковая оптимизация SEO 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?
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[*]Industry-grade Python training
[*]Covers Data Science, AI, and Generative AI
[*]Real-world coding examples
[*]Continuously updated content
[*]Ideal for Python developers and learners
[/list]

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