BOOKS - Python for Data Science
Python for Data Science - A. Lakshmi Muddana, Sandhya Vinayakam 2024 PDF | EPUB Springer/Ane Books Pvt. Ltd. BOOKS
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Python for Data Science
Author: A. Lakshmi Muddana, Sandhya Vinayakam
Year: 2024
Pages: 398
Format: PDF | EPUB
File size: 18.7 MB
Language: ENG



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Python for Data Science ===================== The world we live in today is constantly evolving and changing at a rapid pace. With the advent of new technologies and innovations, it has become increasingly important to stay up-to-date with the latest trends and advancements in order to remain relevant and competitive. One such area that has seen significant growth and development in recent years is data science. The field of data science has exploded onto the scene, providing endless opportunities for those who are willing to learn and adapt. In this book, we will delve into the world of data science and explore how Python can be used as a tool for data analysis and visualization. Understanding the Evolution of Technology ------------------------------------ In order to truly understand the importance of data science and its role in our lives, it is essential to first comprehend the evolution of technology. From the early days of computing to the current era of artificial intelligence, technology has come a long way. Each milestone achieved has led us closer to the ultimate goal of creating a seamless and connected world.
Python for Data Science = Мир, в котором мы живем сегодня, постоянно развивается и меняется быстрыми темпами. С появлением новых технологий и инноваций становится все более важным быть в курсе последних тенденций и достижений, чтобы оставаться актуальными и конкурентоспособными. Одной из таких областей, в которой в последние годы наблюдается значительный рост и развитие, является наука о данных. Область науки о данных взорвалась на сцене, предоставляя бесконечные возможности для тех, кто готов учиться и адаптироваться. В этой книге мы углубимся в мир науки о данных и исследуем, как Python можно использовать в качестве инструмента для анализа и визуализации данных. Понимание эволюции технологий Для того, чтобы по-настоящему понять важность науки о данных и ее роль в нашей жизни, важно сначала понять эволюцию технологий. От первых дней вычислений до нынешней эры искусственного интеллекта технологии прошли долгий путь. Каждая достигнутая веха приближала нас к конечной цели - созданию бесшовного и взаимосвязанного мира.
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