What topics are covered in 'Building Data Science Applications with FastAPI'?

This book covers essential topics such as developing RESTful APIs with FastAPI, implementing machine learning models, managing dependencies, and deploying applications efficiently. It dives into the intricacies of data handling, model management, and best practices for building scalable applications. For instance, readers will learn how to integrate machine learning workflows into web applications, making it suitable for both beginners and advanced users aiming to harness FastAPI’s capabilities.

Who is the target audience for this book?

The target audience includes data scientists, machine learning engineers, and Python developers looking to enhance their skills in building web applications using FastAPI. It is particularly beneficial for those who have a foundational understanding of Python and are eager to implement data science projects in real-world settings. This book serves as a practical guide, helping to bridge the gap between theoretical knowledge and hands-on application development.

What is FastAPI and why is it recommended for machine learning applications?

FastAPI is a modern web framework for building APIs with Python that is known for its high performance and intuitive design. It is particularly recommended for machine learning applications due to its support for asynchronous programming, automatic generation of OpenAPI documentation, and easy integration with data validation libraries like Pydantic. These features make it ideal for developing data-intensive applications where efficiency and speed are paramount.

Can I learn about deployment practices for machine learning applications in this book?

Yes, the book includes practical guidance on deploying machine learning applications with FastAPI. It covers various deployment options such as using cloud services, containerization with Docker, and CI/CD practices. This content is crucial for those looking to take prototypes to production, ensuring that applications are not only developed, but also successfully managed and deployed for real-world use.

Are there any hands-on examples included in the book?

Absolutely! The book is replete with hands-on examples that allow readers to follow along as they build their own data science applications. These examples include step-by-step instructions on implementing machine learning algorithms and deploying them with FastAPI. This practical approach solidifies learning by enabling readers to apply concepts in real scenarios, such as creating a predictive application for a dataset of their choosing.

Does the book discuss error handling and logging in FastAPI applications?

Yes, the book addresses error handling and logging, which are critical for building robust applications. It explains how to implement effective error-handling strategies and use logging to monitor application behavior. This knowledge helps ensure that applications run smoothly and allows developers to troubleshoot issues effectively, ultimately leading to improved user experiences in deployed applications.

Is prior knowledge of machine learning required to understand the content?

While some basic familiarity with machine learning concepts can be helpful, the book is structured to cater to readers with varying levels of expertise. It introduces necessary machine learning principles where relevant, ensuring that newcomers to the field can still grasp the application development process. This makes it a valuable resource for both aspiring data scientists and seasoned developers expanding their skill set.

What programming languages are used in the examples throughout the book?

The primary programming language used in the examples is Python, as it is the backbone of data science and machine learning applications. FastAPI, being a Python framework, allows readers to utilize familiar syntax and libraries. The book encourages readers to leverage Python's rich ecosystem which includes libraries like NumPy, Pandas, and Scikit-learn, enabling them to easily manage data and train machine learning models.

How does 'Building Data Science Applications with FastAPI' position itself against competitors?

This book positions itself uniquely by focusing on practical applications of FastAPI in the context of data science. Unlike many general programming books, it directly addresses the intersection of web development and machine learning. This practical approach combined with its performance-oriented focus makes it especially appealing to developers eager to learn how to efficiently deploy data science solutions.

Cât timp durează pentru a obține produsul după plasarea comenzii?

Timpul de livrare al produsului comandat variază în funcție de ceea ce ați comandat și de metoda de livrare pe care ați ales-o.. Timpul de livrare estimat este menționat în timpul procesului de finalizare a comenzii, așa că fiți fără griji când faceți cumpărături.

Vedeți originalul

Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python

Build, test, and deploy high performing data science and machine learning systems with FastAPI

Articol nr.: 51642211

Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python

Q: Where can I buy 'Building Data Science Applications with FastAPI' in Moldova?

You can purchase 'Building Data Science Applications with FastAPI' from Ubuy in Moldova. Ubuy offers a user-friendly online shopping experience, making it easy to find and acquire this essential resource for building data science applications with FastAPI. Their platform is designed to cater to various customer needs, ensuring you have access to the book quickly and efficiently.

90% din respondenți l-ar recomanda unui prieten

Articol nr.: 51642211

MDL 1503

Detalii preț

Excluzând taxele de transport și vamale ( Taxele de transport și vamale vor fi calculate la finalizarea comenzii )

^{*Toate articolele vor fi importate din SUA}

Disponibilitate : În stoc

Importat din USA

Cant.:

Comandați acum și primiți Sunday, Octombrie 11

Tranzacție securizată

Partenerii noștri principali de logistică

Build, test, and deploy high performing data science and machine learning systems with FastAPI

Garanție U-Care:

Niciunul

Selectați un plan

Fast
Shipping

Retur
gratuit^*

Ambalaj sigur

Produse originale 100%

PCI DSS Compliance

ISO 27001 Certified

Note: Step Down Voltage Transformer required for using electronics products of SUA store (110-120). Recommended power converters Cumpărați Acum.

Ce Iese în evidență

Rapid Development

Leverage FastAPI's intuitive framework for swift application development, enabling data scientists to quickly turn machine learning models into fully functional APIs with minimal effort.

Asynchronous Support

Utilize FastAPI's asynchronous capabilities to handle numerous requests simultaneously, ensuring scalable and efficient performance for data-driven applications without compromising speed.

Comprehensive Documentation

Benefit from extensive and user-friendly documentation that facilitates easy navigation and implementation, helping users effectively manage and deploy their machine learning projects with confidence.

Detalii produs

Publisher	Packt Publishing
Publication date	October 8, 2021
Language	English
Print length	426 pages
ISBN-10	1801079218
ISBN-13	978-1801079211
Item Weight	1.6 pounds (730 grams)
Dimensions	7.5 x 0.96 x 9.25 inches (19.1 x 2.4 x 23.5 cm)

Cine Ar Trebui să Cumpere?

Data Scientists
Ideal for data scientists aiming to efficiently deploy machine learning models into web applications using FastAPI.
Software Developers
Software developers looking to enhance their skills in building APIs and integrating machine learning solutions.
Machine Learning Engineers
Perfect for ML engineers who need to manage and deploy robust data science applications in Python.

Beginners
Not suitable for beginners without prior experience in Python or machine learning concepts.

DESCRIEREA PRODUSULUI

Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python

Aveți întrebări? Discutați cu noi

Întrebări și răspunsuri ale clienților

Întrebare: Cum să cumpărăm Building Data Science Applications with FastAPI: online de la Ubuy?

Răspuns: Este ușor să cumpărați Building Data Science Applications with FastAPI: online de la Ubuy.. Trebuie doar să căutați produsul, să alegeți metoda de expediere în timp ce faceți check-out și să îl livrați la locația dvs.
Întrebare: Este Building Data Science Applications with FastAPI: disponibil pentru cumpărături online în Moldova?

Răspuns: Da, la Ubuy Moldova, acest produs este disponibil pentru cumpărături la un preț rezonabil.. Building Data Science Applications with FastAPI: nu este disponibil local, dar ne puteți încrede în serviciile noastre de transport rapid.
Întrebare: Cât timp durează pentru a obține produsul după plasarea comenzii?

Răspuns: Timpul de livrare al produsului comandat variază în funcție de ceea ce ați comandat și de metoda de livrare pe care ați ales-o.. Timpul de livrare estimat este menționat în timpul procesului de finalizare a comenzii, așa că fiți fără griji când faceți cumpărături.

Data Processing Editorial Review

**** "Building Data Science Applications with FastAPI" stands out as a indispensable guide for developers looking to leverage FastAPI for building, managing, and deploying machine learning applications in Python. Despite being a newcomer in the API landscape, FastAPI has quickly captured the hearts of developers due to its speed and efficiency. This book serves as a beacon for practitioners who are navigating the intricacies of this platform, especially in production environments. The author's ability to demystify complex concepts is commendable. With well-structured explanations and follow-along examples, even challenging subjects such as asynchronous programming and the differences between ASGI and WSGI become accessible. This pedagogical approach ensures that both novices and experienced programmers alike can grasp the material effectively. Importantly, the book doesn’t just stop at explaining how to use FastAPI; it extends into the realm of industry best practices. Readers are provided with comprehensive guidance on end-to-end deployment scenarios using database backends and Docker containers. The inclusion of essential topics such as security, rate limiting, and testing underscores the author’s commitment to delivering a holistic resource. Although the title suggests a heavy emphasis on data science applications, many readers appreciate the broad coverage of foundational Python concepts, FastAPI practices, and complementary tools like Pydantic and ORMs. While some critics found the focus on specific data science applications lacking, the overall depth and attention to detail throughout the various sections provide substantial value. In summary, "Building Data Science Applications with FastAPI" is an exceptional resource for anyone involved in API development, providing clarity, practical examples, and a solid grounding in best practices for modern software development. **

Recenziile și evaluările clienților

5.0

1 evaluări ale clienților

5 stele

100%
4 stele

0%
3 stele

0%
2 stele

0%
1 stele

0%

Faceți o recenzie pentru acest produs

Împărtășiți-vă părerea cu alți clienți

Pro

Clear explanations of complex concepts with practical examples.
Comprehensive coverage of industry best practices for deployment.
Useful for both beginners and experienced developers.
Detailed exploration of related technologies and concepts.
Engaging layout with continuous example modules.

Contra

Title might be misleading with limited focus on data science applications.

Istoricul prețului produsului

Important

Limitări: Pentru produsele expediate la nivel internațional, vă rugăm să rețineți că este posibil ca garanția producătorului să nu fie valabilă; este posibil ca opțiunile de service ale producătorului să nu fie disponibile; este posibil ca manualele, instrucțiunile și avertismentele de siguranță ale produsului să nu fie în limba țării de destinație; este posibil ca produsele (și materialele însoțitoare) să nu fie proiectate în conformitate cu standardele, specificațiile și cerințele privind etichetarea din țara de destinație; este posibil ca produsele să nu fie conforme cu voltajul și cu alte standarde electrice din țara de destinație (necesitând utilizarea unui adaptor sau convertor, dacă este cazul). Destinatarul este responsabil pentru asigurarea faptului că produsul poate fi importat legal în țara de destinație. Când comandați de pe Ubuy sau de la afiliații acestuia, destinatarul este importatorul înregistrat și trebuie să respecte toate legile și reglementările din țara de destinație
Nu toate produsele listate pe Ubuy sunt de vânzare, deoarece Ubuy este un motor de căutare global. Produsele sunt supuse reglementărilor privind exportul/comerțul.

MDL 1503

Comandați acum și primiți Sunday, Octombrie 11

Cant.:

Tranzacție securizată

Conform PCI DSS și certificat ISO 27001:2022, cu plăți criptate și protecție completă a cumpărătorului la fiecare comandă.

Partenerii noștri principali de logistică

Cea mai rapidă livrare internațională

Caracteristici și avantaje

Develop efficient RESTful APIs for data science with modern Python
Cover the concepts of the FastAPI framework
Implement a FastAPI dependency to efficiently run a machine learning model
Integrate common Python data science libraries in a web backend
Deploy a performant and reliable web backend for a data science application

Asigurare Ubuy

Bucură-te de o experiență de cumpărare fără griji, cu produse 100% originale, securitate a plăților conformă cu standardul PCI DSS, protecție a datelor certificată ISO 27001, cea mai rapidă livrare internațională, retururi gratuite și ambalare securizată pentru fiecare comandă.*

Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python

MDL 1503

Fast Shipping

Retur gratuit*

Ambalaj sigur

Produse originale 100%

PCI DSS Compliance

ISO 27001 Certified

Ce Iese în evidență

Detalii produs

Cine Ar Trebui să Cumpere?

DESCRIEREA PRODUSULUI

Întrebări și răspunsuri ale clienților

Data Processing Editorial Review

Recenziile și evaluările clienților

Faceți o recenzie pentru acest produs

Pro

Contra

Istoricul prețului produsului

Important

MDL 1503

Caracteristici și avantaje

Asigurare Ubuy

Fast
Shipping

Retur
gratuit^*