Приложение
для AndroidПолное описание
Рубрики:
Mathematics -- Data processing
Python (Computer program language)
Mathematics -- Data processing
Python (Computer program language)
Держатели документа:
Полнотекстовая коллекция книг EBSCO eBooks (Шифр в БД-источнике (EBSKO): on1202416473)
Шифр в сводном ЭК: 0664797a7b86cebdd864e7378c363404
Khrais Hussam. Python for Offensive PenTest : a practical guide to ethical hacking and penetration testing using Python / Hussam. Khrais, 2018. - 7 с. (Введено оглавление). - Текст : электронный.Ortega J.M. Mastering Python for networking and security : leverage Python scripts and libraries to overcome networking and security issues / J. M. Ortega, 2018. - 28 p). - Текст : электронный.Marvin Ryan. Python Fundamentals : a Practical Guide for Learning Python, Complete with Real-World Projects for You to Explore / Ryan Marvin, Mark Ng'ang'a, Amos Omondi., 2018. - 3 с. (Введено оглавление). - Текст : электронный.Saleh, Hyatt. Machine learning fundamentals : Use Python and scikit-learn to get up and running with the hottest developments in machine learning / Hyatt Saleh., 2018. - 3 p) (Введено оглавление). - Текст : электронный.Dey, Sandipan. Hands-on image processing with Python : expert techniques for advanced image analysis and effective interpretation of image data / Sandipan Dey., 2018. - 113 с. - Текст : электронный.Liu Y.(. Python machine learning by example : easy-to-follow examples that get you up and running with machine learning / Yuxi (Hayden) Liu., 2019. - 18 с. - Текст : электронный.Blanchard, Tommy. Data science for marketing analytics / Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar., 2019. - 7 с. - Текст : электронный.Marin Ivan. Big data analysis with Python : combine Spark and Python to unlock the powers of parallel computing and machine learning / Ivan Marin, Ankit Shukla and Sarang VK., 2019. - 5 с. (Введено оглавление). - Текст : электронный.Bird Andrew. The the Python Workshop : A Practical, No-Nonsense Introduction to Python Development / Andrew. Bird, 2019. - 47 p). - Текст : электронный.RASCHKA, SEBASTIAN. PYTHON MACHINE LEARNING;MACHINE LEARNING AND DEEP LEARNING WITH PYTHON, SCIKIT-LEARN, AND TENSORFLOW 2, 3RD EDITION / R. M. RASCHKA, VAHID MIRJALILI, 2019. - 31 с. - Текст : электронный.So, Anthony. The data science workshop : a new, interactive approach to learning data science / Anthony So [and four others]., 2020. - 90 с. - Текст : электронный.Artasanchez, Alberto. Artificial intelligence with Python : your complete guide to building intelligent apps using Python 3.x and TensorFlow 2 / Alberto Artasanchez, Prateek Joshi., 2020. - 16 с. - Текст : электронный.Belorkar Abha. Interactive Data Visualization with Python : Present Your Data As an Effective and Compelling Story, 2nd Edition / Abha. Belorkar, 2020. - 31 p) (Введено оглавление). - Текст : электронный.Dey, Sandipan. Python image processing cookbook : over 60 recipes to help you perform complex image processing and computer vision tasks with ease / Sandipan Dey., 2020. - 97 с. - Текст : электронный.Singh, Anubhav. Hands-on Python deep learning for web / Anubhav Singh, Sayak Paul., 2020. - 18 с. (Введено оглавление). - Текст : электронный.Döbler Mario. The data visualization workshop : a self-paced, practical approach to transforming your complex data into compelling, captivating graphics / Mario. Döbler, [2020]. - 56 с. - Текст : электронный.Morley, Sam. Applying math with Python : practical recipes for solving computational math problems using Python programming and its libraries / Sam Morley., 2020. - 18 с. - Текст : электронный.Farrell Peter The statistics and calculus workshop / Peter Farrell [and five others]., 2020. - 66 с. (Введено оглавление). - Текст : электронный.Smart Gary. Practical Python Programming for IoT : Build Advanced IoT Projects Using a Raspberry Pi 4, MQTT, RESTful APIs, WebSockets, and Python 3 / Gary. Smart, 2020. - 29 p). - Текст : электронный.Staple, Danny. Learn robotics programming : build and control AI-enabled autonomous robots using the Raspberry Pi and Python / Danny Staple., 2021. - 19 с. - Текст : электронный.
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