BOOKS - Рython, Django, Data Science
Рython, Django, Data Science - Протодьяконов А. В., Пылов П. А., Майтак Р. В. 2024 PDF Инфра-Инженерия BOOKS
ECO~19 kg CO²

2 TON

Views
2598

Telegram
 
Рython, Django, Data Science
Author: Протодьяконов А. В., Пылов П. А., Майтак Р. В.
Year: 2024
Pages: 518
Format: PDF
File size: 104 Mb
Language: RU



Pay with Telegram STARS
The book "Рython Django Data Science" by O'Reilly Media is a comprehensive guide to building web applications using Python, Django, and data science techniques. The book covers the entire development process, from planning and designing to deploying and maintaining web applications, and provides readers with the skills and knowledge they need to create robust and scalable web applications. The book begins with an introduction to the basics of web development, including HTML, CSS, and JavaScript, before delving into the more advanced topics of Python programming, Django frameworks, and data science techniques. It covers various aspects of web development such as user authentication, content management, and database integration, and provides practical examples and exercises to help readers understand the concepts. One of the key themes of the book is the importance of understanding the technology evolution process and its impact on society. The author emphasizes the need for developers to stay up-to-date with the latest technologies and trends in order to remain relevant in the industry.
Книга «Python Django Data Science» от O'Reilly Media является всеобъемлющим руководством по созданию веб-приложений с использованием Python, Django и методов data science. Книга охватывает весь процесс разработки, от планирования и проектирования до развертывания и обслуживания веб-приложений, и предоставляет читателям навыки и знания, необходимые для создания надежных и масштабируемых веб-приложений. Книга начинается с введения в основы веб-разработки, включая HTML, CSS и JavaScript, прежде чем углубиться в более продвинутые темы программирования на Python, фреймворков Django и методов data science. Он охватывает различные аспекты веб-разработки, такие как аутентификация пользователей, управление контентом и интеграция баз данных, а также содержит практические примеры и упражнения, помогающие читателям понять концепции. Одна из ключевых тем книги - важность понимания процесса эволюции технологий и его влияния на общество. Автор подчеркивает необходимость для разработчиков оставаться в курсе последних технологий и тенденций, чтобы оставаться актуальными в отрасли.
''

You may also be interested in:

R Programming for Data Science A comprehensive guide to R programming for Data Science
R Programming for Data Science A comprehensive guide to R programming for Data Science
Advanced Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Practical Data Analytics for BFSI Leveraging Data Science for Driving Decisions in Banking, Financial Services, and Insurance Operations
Теоретический минимум по Computer Science. Сети, криптография и data science
Frame Theory in Data Science (Advances in Science, Technology and Innovation)
Statistical Methods for Materials Science The Data Science of Microstructure Characterization
Data Science An Emerging Trend in Engineering, Science & Technology
Data Science An Emerging Trend in Engineering, Science & Technology
Econometric Python: Harnessing Data Science for Economic Analysis: The Science of Pythonomics in 2024
Econometric Python Harnessing Data Science for Economic Analysis The Science of Pythonomics in 2024
Python for Beginners Start Right Now to Learn Computer Programming with the Best Crash Course. Improve your Skills with Machine Learning, Data Analysis and Data Science
Beginning Django API with React: Build Django 4 Web APIs with React Full Stack Applications
Building Websites with Django Build and Deploy Professional Websites with Python Programming and the Django Framework
Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data … Enterprise Strategies (English Edition)
Mastering Django 4 Projects for Beginners - Beginner|s Journey to Django 4 Mastery Projects and Beyond
Mastering Django 4 Projects for Beginners - Beginner|s Journey to Django 4 Mastery Projects and Beyond
Mastering Django 4: Projects for Beginners: A Beginner|s Journey to Django 4 Mastery: Projects and Beyond
Django Cookbook Web Development with Django - Step by Step Guide, Second Edition
Designing Microservices Using Django Structuring, Deploying and Managing the Microservices Architecture with Django
Ultimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by Leveraging MLBase.jl and MLJ.jl to Optimize Workflows
Ultimate Parallel and Distributed Computing with Julia For Data Science Excel in Data Analysis, Statistical Modeling and Machine Learning by Leveraging MLBase.jl and MLJ.jl to Optimize Workflows
Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by … to optimize workflows (English Edition)
Django for APIs Build web APIs with Python & Django
Django - The Easy Way A step-by-step guide on building Django websites.
Geospatial Data Science: A Hands-On Approach for Building Geospatial Applications Using Linked Data Technologies (ACM Books)
Python Machine Learning Discover the Essentials of Machine Learning, Data Analysis, Data Science, Data Mining and Artificial Intelligence Using Python Code with Python Tricks
Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data and Analytics)
Artificial Intelligence For Business How Your Company Can Make More Profit with Machine Learning, Data Science, Big Data, and Deep Learning
Python Data Science How to Learn Step by Step Programming, Data Analytics, and Coding Essentials Tools
Data Science on the Google Cloud Platform Implementing End-to-End Real-time Data Pipelines from ingest to machine learning
Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV: Special Issue on Data Management - Principles, Technologies, and Applications (Lecture Notes in Computer Science Book 14160)
SQL for Data Analysis A Middle-Level Guide to Integrating SQL with Data Science Tools
SQL for Data Analysis: A Middle-Level Guide to Integrating SQL with Data Science Tools
SQL for Data Analysis A Middle-Level Guide to Integrating SQL with Data Science Tools
Learn Python Programming A Beginners Crash Course on Python Language for Getting Started with Machine Learning, Data Science and Data Analytics (Artificial Intelligence Book 1)
PYTHON ARRAYS AND PYTHON NUMPY FOR BEGINNERS: MASTER DATA MANIPULATION EASILY AND UNLEASH THE POWER OF DATA SCIENCE WITH EASY-TO-FOLLOW TUTORIALS - 2 BOOKS IN 1
Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook
Python for Data Science Data analysis and Deep learning with Python coding and programming
The Enterprise Big Data Lake Delivering on the Promise of Hadoop and Data Science in the Enterprise