Python Fundamentals with Paul Deitel

Paul Deitel

(July 9, 2025)

ISBN-13: 9780135576977

Course

$899.99

Current Stock:

Product details

50 hours of video; Quizzes; Credly badging; Additional resources; 365-day course access

Includes

An introduction to Python programming Natural Language Processing (NLP) Machine Learning fundamentals Deep Learning

Language: English

Product Information

Python Fundamentals with Paul Deitel is a code-oriented presentation of the Python language. Using real-world code examples ranging from individual snippets to complete scripts, Paul will demonstrate coding with the interactive IPython interpreter and Jupyter Notebooks. Paul covers Python language, its popular programming idioms, key Python Standard Library modules and several popular open-source libraries. In the Intro to Data Science videos, Paul introduces some of today's most compelling, leading-edge computing technologies, including natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, sentiment analysis through deep learning with recurrent neural networks, big data with Hadoop®, Spark™ streaming, NoSQL databases and IoT.

Paul J. Deitel, CEO and Chief Technical Officer of Deitel & Associates, Inc., is an MIT graduate with 43 years in computing. Paul is one of the world's most experienced programming-languages trainers, having taught professional courses to software developers at all levels since 1992. He has delivered hundreds of programming courses to industry clients internationally, including SLB (formerly Schlumberger), Cisco, IBM, Siemens, Sun Microsystems (now Oracle), Dell, Fidelity, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, White Sands Missile Range, Rogue Wave Software, Boeing, Puma, iRobot, UCLA Anderson's Master of Science in Business Analytics (MSBA) and Master of Financial Engineering (MFE) programs, and many more. He is among the world's best-selling programming-language textbook, professional book, video and interactive multimedia authors.

Part 1 Before you Begin Lesson 1: Test_Drives: Using IPython and Jupyter Notebooks Lesson 2: Intro to Python Programming Lesson 3: Control Statements Lesson 4: Functions Part 2 Lesson 5: Sequences: Lists and Tuples Lesson 6: Dictionaries and Sets Lesson 7: Array-Oriented Programming and NumPy Part 3 Lesson 8: Strings: A Deeper Look Lesson 9: Files and Exceptions Lesson: 10 Object-Oriented Programming [New in 2024] What's New in Python Part 4 Lesson 11: Natural Language Processing Lesson 12: Data Mining Twitter Lesson 13: IBM Watson® and Cognitive Computing Part 5 Lesson 14: Machine Learning: Classification, Regression and Clustering Lesson 15: Deep Learning Lesson 16: Big Data: Hadoop, Spark, NoSQL, and IoT Recursion, Seraching, Sorting and Big O