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Кеннеди Берман Основы Python для Data Science

Кеннеди Берман Основы Python для Data Science

2595.00 RUB
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Price: 2595.00 RUB

Master Python for Data Science with Kennedy Behrman’s Essential Guide

Python is the #1 programming language for machine learning and data science, but its vast toolkit can make it hard to know where to start. Kennedy Behrman’s Fundamentals of Python for Data Science cuts through the noise, focusing only on the programming skills you’ll actually need for real-world data analysis and machine learning.

The book begins with Jupyter Notebooks—the industry-standard environment for professional data work—then moves through essential libraries that simplify everything from mathematical computation and visualization to machine learning and natural language processing. You’ll learn to handle data efficiently, build predictive models, and automate analysis tasks.

Once you’ve mastered the basics, the author guides you into more advanced techniques, enabling you to tackle complex problems with confidence. Whether you’re a complete beginner or an experienced developer looking to pivot into data science, this book provides a clear, structured path to practical proficiency.

Perfect for self-study or as a companion to online courses, Fundamentals of Python for Data Science is your straight-to-the-point resource for turning Python into a powerful data science tool.

Price: 2595.00 RUR

Customer reviews

Peter Novak ★★★★★
Bottom line: The product card is very clear and well-structured. It immediately explains who the book is for and what key topics it covers, like Jupyter Notebooks and essential libraries. The price is prominently displayed, and the description makes it easy to decide if this is the right resource for learning Python for data science.
Alex Turner ★★★★★
The product card is very clear and well-structured. It immediately explains who the book is for and what key topics it covers, like Jupyter Notebooks and essential libraries. The price is prominently displayed, and the description makes it easy to decide if this is the right resource for learning Python for data science.