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
2596

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:

Рython, Django, Data Science
Рython, Django, Data Science
Python, Django, Data Science
Data Science from Scratch Want to become a Data Scientist? This guide for beginners will walk you through the world of Data Science, Big Data, Machine Learning and Deep Learning
Python Data Science The Complete Guide to Data Analytics + Machine Learning + Big Data Science + Pandas Python. The Easy Way to Programming (Exercises Included)
Ultimate Web API Development with Django REST Framework Build Robust and Secure Web APIs with Django REST Framework Using Test-Driven Development for Data Analysis and Management
Intro to Python for Computer Science and Data Science Learning to Program with AI, Big Data and The Cloud, Global Edition
The Decision Maker|s Handbook to Data Science AI and Data Science for Non-Technical Executives, Managers, and Founders, 3rd Edition
The Decision Maker|s Handbook to Data Science AI and Data Science for Non-Technical Executives, Managers, and Founders, 3rd Edition
Big Data and Social Science Data Science Methods and Tools for Research and Practice, 2nd Edition
Learn Data Science Fundamentals A Beginner|s Guide To Data Science Programs, Analysis And Visualization
Data Analytics Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
DATA SCIENCE WITH PYTHON Complete Guide To Understanding Data Analytics And Data Science With Python Programming
Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman and Hall CRC Data Science Series)
Ultimate Data Science Programming in Python Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools
Ultimate Data Science Programming in Python Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools
Intro to Python for Computer Science and Data Science Learning to Program with AI, Big Data and The Cloud
Data Science: A First Introduction (Chapman and Hall CRC Data Science Series)
Data Science A Comprehensive Beginner’s Guide to Learn About the Realms of Data Science from A-Z
Data Science A Comprehensive Beginners Guide to Learn the Realms of Data Science
Confident Data Science Discover the Essential Skills of Data Science
Confident Data Science Discover the Essential Skills of Data Science
Data Science: The Hard Parts: Techniques for Excelling at Data Science
Data Science The Hard Parts Techniques for Excelling at Data Science
Data Science The Hard Parts Techniques for Excelling at Data Science
Graph Data Science with Python and Neo4j Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
Graph Data Science with Python and Neo4j Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies
Data Science With Rust A Comprehensive Guide - Data Analysis, Machine Learning, Data Visualization & More
Data Science With Rust A Comprehensive Guide - Data Analysis, Machine Learning, Data Visualization & More
Getting Started with DuckDB: A practical guide for accelerating your data science, data analytics, and data engineering workflows
Data Science With Rust: A Comprehensive Guide - Data Analysis, Machine Learning, Data Visualization and More
Essential Data Analytics, Data Science, and AI A Practical Guide for a Data-Driven World
Big Data, Data Mining and Data Science Algorithms, Infrastructures, Management and Security
Data Science 2 Books in 1 Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects
Textual Data Science with R (Chapman & Hall/CRC Computer Science & Data Analysis)
Python Data Science: Deep Learning Guide for Beginners with Data Science. Python Programming and Crush Course.
Python Data Science An Ultimate Guide for Beginners to Learn Fundamentals of Data Science Using Python
Python Data Science The Ultimate Handbook for Beginners on How to Explore NumPy for Numerical Data, Pandas for Data Analysis, IPython, Scikit-Learn and Tensorflow for Machine Learning and Business