DuckDB: Up and Running: Fast Data Analytics and Reporting 1st Edition 308959
Код товару: 308959Паперова книга
-
ISBN978-1098159696
-
Бренд
-
Автор
-
Рік2025
-
МоваАнглійська
-
ІлюстраціїЧорно-білі
DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics. It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. This handy guide shows you how to get started with this versatile and powerful tool.
Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL. Understand the purpose of DuckDB and its main functions
- Conduct data analytics tasks using DuckDB
- Integrate DuckDB with pandas, Polars, and JupySQL
- Use DuckDB to query your data
- Perform spatial analytics using DuckDB's spatial extension
- Work with a diverse range of data including Parquet, CSV, and JSON
About the Author
Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a company that provides hands-on training on the latest technologies. He is an established developer and trainer, specializing in data science, blockchain, and mobile technologies. Wei-Meng speaks regularly at international conferences and has authored and co-authored numerous books on topics ranging from blockchain to machine learning. He currently writes a regular column for Medium and Code Magazine, with a focus on making complex technologies easy for beginners to understand.
1'900 ₴
Купити
Monobank
от 213 ₴ / міс.
до 10 платежей
Покупка частинами Monobank
₴ / місяць
Для використання функції «Покупка частинами» необхідно мати картку Monobank.
Розділивши оплату на певну кількість платежів (від 3 до 10),
ви платите лише одну частину. Решта – раз на місяць списуватиметься з вашої карти.
Послуга може бути використана при замовлення на суму від 600 грн.
Увага! При покупці частинами знижки на товари не враховуються.
Щоб скористатися цією функцією, додайте в кошик товарів на суму від 600 грн.
На сторінці оформлення замовлення вкажіть спосіб оплати «Покупка частинами Monobank». Підтвердьте покупку у програмі Monobank.
-
Нова ПоштаБезкоштовно від
3'000,00 ₴ -
УкрпоштаБезкоштовно від
1'000,00 ₴ -
Meest ПоштаБезкоштовно від
3'000,00 ₴
Інші книги O'Reilly Media
276180
2'600 ₴
197682
1'700 ₴
259255
310245
1'800 ₴
264162
1'700 ₴
Характеристики
- Бренд
- Автор
- КатегоріяПрограмування
- Рік2025
- Сторінок306
- Формат165х235 мм
- ОбкладинкаМ'яка
- Тип паперуОфсетний
- МоваАнглійська
- ІлюстраціїЧорно-білі
Від видавця
DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics. It also integrates well with Python and is compatible with SQL, giving you the performance and flexibility of SQL right within your Python environment. This handy guide shows you how to get started with this versatile and powerful tool.
Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL. Understand the purpose of DuckDB and its main functions
- Conduct data analytics tasks using DuckDB
- Integrate DuckDB with pandas, Polars, and JupySQL
- Use DuckDB to query your data
- Perform spatial analytics using DuckDB's spatial extension
- Work with a diverse range of data including Parquet, CSV, and JSON
About the Author
Wei-Meng Lee is a technologist and founder of Developer Learning Solutions, a company that provides hands-on training on the latest technologies. He is an established developer and trainer, specializing in data science, blockchain, and mobile technologies. Wei-Meng speaks regularly at international conferences and has authored and co-authored numerous books on topics ranging from blockchain to machine learning. He currently writes a regular column for Medium and Code Magazine, with a focus on making complex technologies easy for beginners to understand.
DuckDB: Up and Running: Fast Data Analytics and Reporting 1st Edition
1'900 ₴
Персонально для вас
244706
1'800 ₴
259179
1'900 ₴
259777
1'900 ₴
269112
1'900 ₴
274004
1'900 ₴
244747
2'300 ₴
281514
2'300 ₴
275978
2'400 ₴
197704
2'600 ₴
Відгуки про DuckDB: Up and Running: Fast Data Analytics and Reporting 1st Edition