Python and Mojo for AI-Driven Data Pipelines
close menu
Bookswagon
search
My Account
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology Books > Computer programming / software engineering > Programming and scripting languages: general > Python and Mojo for AI-Driven Data Pipelines: A Practical Guide to Designing High-Performance Machine Learning and Real-Time Processing Systems with low latency
Python and Mojo for AI-Driven Data Pipelines: A Practical Guide to Designing High-Performance Machine Learning and Real-Time Processing Systems with low latency

Python and Mojo for AI-Driven Data Pipelines: A Practical Guide to Designing High-Performance Machine Learning and Real-Time Processing Systems with low latency


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

KEY FEATURES

  • Design AI-driven data pipelines using Python and Mojo for modern machine learning systems

  • Build low-latency real-time processing architectures for intelligent applications

  • Combine Python's ecosystem with Mojo's high-performance capabilities

  • Develop scalable workflows for feature engineering, model training, and inference

  • Architect pipelines that support streaming data and continuous ML operations

  • Apply practical engineering patterns used in production AI infrastructure

  • Optimize data processing systems for performance, reliability, and scalability


Full Description

Data is no longer processed in batches and forgotten. Modern AI systems depend on pipelines that move continuously-collecting signals, transforming information, training models, and delivering predictions in real time. Behind every intelligent application is an engineering challenge: building data pipelines that are fast, scalable, and capable of supporting machine learning at production scale.

Python and Mojo for AI-Driven Data Pipelines explores how these systems are designed and built. Blending Python's powerful data ecosystem with Mojo's emerging performance capabilities, this practical guide walks through the architecture of high-performance machine learning pipelines-from ingestion and transformation to streaming analytics and real-time inference. The focus is clear: modern engineering patterns that enable low-latency processing and scalable AI workflows.


Why This Book Stands Out

Many resources focus on machine learning models but overlook the infrastructure that makes those models usable in real systems. This book centers on the pipeline architecture behind AI products-the data flows that power training, feature generation, and live prediction. By introducing Mojo alongside Python, it presents a forward-looking approach to building pipelines that balance developer productivity with high-performance execution, preparing engineers for the evolving landscape of AI infrastructure.


Who This Book Is For

This book is written for developers, data engineers, machine learning practitioners, and software architects who want to build robust data pipelines that power intelligent systems. Whether you already work with Python in data science or are exploring modern approaches to scalable machine learning infrastructure, the material is designed to help you think beyond scripts and toward the architecture of reliable, high-performance AI pipelines.


What You'll Gain
  • Design scalable machine learning data pipelines for modern AI systems

  • Build low-latency real-time data processing architectures

  • Combine Python and Mojo to improve performance in AI workloads

  • Implement efficient feature engineering and data transformation workflows

  • Architect pipelines that support model training and real-time inference

  • Understand practical patterns behind production ML infrastructure

  • Develop systems capable of supporting streaming analytics and intelligent applications


Best Sellers


Product Details
  • ISBN-13: 9798251653885
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 136
  • Returnable: N
  • Sub Title: A Practical Guide to Designing High-Performance Machine Learning and Real-Time Processing Systems with low latency
  • Width: 152 mm
  • ISBN-10: 8251653886
  • Publisher Date: 11 Mar 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 7 mm
  • Weight: 245 gr


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Python and Mojo for AI-Driven Data Pipelines: A Practical Guide to Designing High-Performance Machine Learning and Real-Time Processing Systems with low latency
Independently Published -
Python and Mojo for AI-Driven Data Pipelines: A Practical Guide to Designing High-Performance Machine Learning and Real-Time Processing Systems with low latency
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Python and Mojo for AI-Driven Data Pipelines: A Practical Guide to Designing High-Performance Machine Learning and Real-Time Processing Systems with low latency

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!