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Data Structures and Algorithms with Python
English | 2025 | ASIN : B0DXV3LCCC | 278 Pages | PDF EPUB | 9 MB
"Dive into the Heart of Pythonic Algorithms and Data Structures" offers a comprehensive guide designed to empower both beginners and seasoned developers. Whether you're mastering the foundations of computer science or enhancing your problem-solving skills, this book provides a roadmap through the intricacies of efficient data organization and algorithmic prowess.

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Data Structures and Algorithms with the C++ STL: A guide for modern C++ practitioners by John Farrier
English | February 29, 2024 | ISBN: 1835468551 | 458 pages | EPUB | 4.91 Mb
Explore the C++ 23 STL with practical guidance on vectors, algorithms, and custom types for intermediate developers, enriched by real-world examples.Key FeaturesMaster the std:: vector and understand why it should be your default container of choiceUnderstand each STL algorithm and its practical applicationsGain insights into advanced topics such as exception guarantees and thread safetyPurchase of the print or Kindle book includes a free PDF eBookBook Description

While the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL's components, covering fundamental data structures, advanced algorithms, and concurrency features.
Starting with an in-depth analysis of the std:: vector, this book highlights its pivotal role in the STL, progressing toward building your proficiency in utilizing vectors, managing memory, and leveraging iterators. The book then advances to STL's data structures, including sequence containers, associative containers, and unordered containers, simplifying the concepts of container adaptors and views to enhance your knowledge of modern STL programming. Shifting the focus to STL algorithms, you'll get to grips with sorting, searching, and transformations and develop the skills to implement and modify algorithms with best practices. Advanced sections cover extending the STL with custom types and algorithms, as well as concurrency features, exception safety, and parallel algorithms.
By the end of this book, you'll have transformed into a proficient STL practitioner ready to tackle real-world challenges and build efficient and scalable C++ applications.What you will learnStreamline data handling using the std:: vectorMaster advanced usage of STL iteratorsOptimize memory in STL containersImplement custom STL allocatorsApply sorting and searching with STL algorithmsCraft STL-compatible custom typesManage concurrency and ensure thread safety in STLHarness the power of parallel algorithms in STLWho this book is for
This book is for intermediate-level C++ developers looking to enhance their software development skills. Familiarity with basic C++ syntax and object-oriented programming (OOP) as well as some exposure to data structures and algorithms is assumed.
Tailored to software engineers, computer science students, and hobbyist programmers, this book delves into C++ STL for practical application, performance enhancement, and efficient coding practices.Table of ContentsThe Basics of std:: vectorMastering Iterators with std:: vectorMastering Memory and Allocators with std:: vectorMastering Algorithms with std:: vectorMaking a Case for std:: vectorAdvanced Sequence Container UsageAdvanced Ordered Associative Container UsageAdvanced Unordered Associative Container UsageAdvanced Container Adaptor UsageAdvanced Container View UsageFundamental Algorithms and SearchingManipulation and TransformationNumeric and Range-Based OperationsPermutations, Partitions, and HeapsSTL with RangesCreating STL-Types ContainersCreating STL-Compatible AlgorithmsType Traits and PoliciesException SafetyThread Safety and Concurrency with the STLSTL Interaction with Concepts and CoroutinesParallel Algorithms with the STL

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Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data by Jonas Christensen, Nakul Bajaj, Manmohan Gosada
English | February 29, 2024 | ISBN: 1804618128 | 378 pages | PDF | 6.01 Mb
Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using Python

Key FeaturesGrasp the principles of data centricity and apply them to real-world scenariosGain experience with quality data collection, labeling, and synthetic data creation using PythonDevelop essential skills for building reliable, responsible, and ethical machine learning solutionsPurchase of the print or Kindle book includes a free PDF eBookBook Description
In the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets.
This book will help you understand what data-centric ML/AI is and how it can help you to realize the potential of 'small data'. Delving into the building blocks of data-centric ML/AI, you'll explore the human aspects of data labeling, tackle ambiguity in labeling, and understand the role of synthetic data. From strategies to improve data collection to techniques for refining and augmenting datasets, you'll learn everything you need to elevate your data-centric practices. Through applied examples and insights for overcoming challenges, you'll get a roadmap for implementing data-centric ML/AI in diverse applications in Python.
By the end of this book, you'll have developed a profound understanding of data-centric ML/AI and the proficiency to seamlessly integrate common data-centric approaches in the model development lifecycle to unlock the full potential of your machine learning projects by prioritizing data quality and reliability.
What you will learnUnderstand the impact of input data quality compared to model selection and tuningRecognize the crucial role of subject-matter experts in effective model developmentImplement data cleaning, labeling, and augmentation best practicesExplore common synthetic data generation techniques and their applicationsApply synthetic data generation techniques using common Python packagesDetect and mitigate bias in a dataset using best-practice techniquesUnderstand the importance of reliability, responsibility, and ethical considerations in ML/AIWho this book is for
This book is for data science professionals and machine learning enthusiasts looking to understand the concept of data-centricity, its benefits over a model-centric approach, and the practical application of a best-practice data-centric approach in their work. This book is also for other data professionals and senior leaders who want to explore the tools and techniques to improve data quality and create opportunities for small data ML/AI in their organizations.
Table of ContentsExploring Data-Centric Machine LearningFrom Model-Centric to Data-Centric - ML's EvolutionPrinciples of Data-Centric MLData Labeling Is a Collaborative ProcessTechniques for Data CleaningTechniques for Programmatic Labeling in Machine LearningUsing Synthetic Data in Data-Centric Machine LearningTechniques for Identifying and Removing BiasDealing with Edge Cases and Rare Events in Machine LearningKick-Starting Your Journey in Data-Centric Machine Learning

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Data-Driven Talent Management: Using Analytics to Improve Employee Experience by Kristin Saling
English | August 27, 2024 | ISBN: 139861629X | 248 pages | MOBI | 1.85 Mb
How can I use insights from people data to develop an inclusive, engaged, high-performing workforce? What data is available and how do I collect it ethically?

Data-Driven Talent Management is a practical guide for HR professionals which answers these questions. It outlines effective data collection and analysis methods as well as showing how to develop metrics and key performance indicators to support employee experience. It also provides guidance on how to build a comprehensive talent database by understanding different employee experiences, attributes, skills and journeys. In addition, there is also essential advice on how to leverage data to improve motivation and employee engagement, use data to assess different thought and work styles in the workforce and use the results to build a diverse and inclusive organization that allows all employees and the business to thrive.
Full of tools, tips and frameworks and written by a professional who is implementing a data-driven approach to talent management for the US Army, the world's largest employer, this is essential reading for all mid-level and senior HR practitioners.

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Database Design with SQL: Building Fast and Reliable Systems by Robert Johnson
English | October 26, 2024 | ISBN: N/A | ASIN: B0DL3ZZC2S | 425 pages | PDF | 1.60 Mb
"Database Design with SQL: Building Fast and Reliable Systems" is an essential resource for beginners eager to master the fundamentals of database management and SQL. This comprehensive guide demystifies the core principles of database systems, providing readers with the knowledge to design efficient data architectures and execute complex SQL operations. Covering everything from basic data structures to advanced query optimization, the book equips learners with the crucial skills needed to build and manipulate robust databases that meet modern demands.

The book delves into the intricacies of relational databases and normalization, offering practical insights into data modeling and schema design. Readers will explore the power of SQL in both data retrieval and manipulation, progressing through foundational commands to sophisticated techniques like dynamic SQL and window functions. Additionally, the text addresses critical aspects of database security, transactions, and concurrency control, ensuring that systems remain resilient and secure in multi-user environments.
Beyond relational databases, "Database Design with SQL" introduces the versatile world of NoSQL and its role in big data, enabling learners to handle diverse data types and high-volume datasets. Through real-world case studies and best practices for database administration, this guide offers valuable strategies for maintaining performance and reliability. Whether you are embarking on a career in database management or seeking to enhance your technical expertise, this book is your gateway to mastering database design and SQL with confidence.

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Databricks Certified Data Engineer Associate Study Guide
English | 2025 | ISBN: 1098166833 | 495 Pages | EPUB | 32 MB
Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding of the Databricks platform and its capabilities, as well as the essential skills to effectively execute various data engineering tasks on the platform.

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Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice by Derar Alhussein
English | April 1st, 2025 | ISBN: 1098166833 | 408 pages | True EPUB (Retail Copy) | 30.09 MB
Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding of the Databricks platform and its capabilities, as well as the essential skills to effectively execute various data engineering tasks on the platform.

In this comprehensive study guide, you will build a strong foundation in all topics covered on the certification exam, including the Databricks Lakehouse and its tools and benefits. You'll also learn to develop ETL pipelines in both batch and streaming modes. Moreover, you'll discover how to orchestrate data workflows and design dashboards while maintaining data governance. Finally, you'll dive into the finer points of exactly what's on the exam and learn to prepare for it with mock tests.
Author Derar Alhussein teaches you not only the fundamental concepts but also provides hands-on exercises to reinforce your understanding. From setting up your Databricks workspace to deploying production pipelines, each chapter is carefully crafted to equip you with the skills needed to master the Databricks Platform. By the end of this book, you'll know everything you need to ace the Databricks Data Engineer Associate certification exam with flying colors, and start your career as a certified data engineer from Databricks!
You'll learn how to:
* Use the Databricks Platform and Delta Lake effectively
* Perform advanced ETL tasks using Apache Spark SQL
* Design multi-hop architecture to process data incrementally
* Build production pipelines using Delta Live Tables and Databricks Jobs
* Implement data governance using Databricks SQL and Unity Catalog
Derar Alhussein is a senior data engineer with a master's degree in data mining. He has over a decade of hands-on experience in software and data projects, including large-scale projects on Databricks. He currently holds eight certifications from Databricks, showcasing his proficiency in the field. Derar is also an experienced instructor, with a proven track record of success in training thousands of data engineers, helping them to develop their skills and obtain professional certifications.

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Databricks Data Intelligence Platform: Unlocking the GenAI Revolution by Nikhil Gupta, Jason Yip
English | October 13, 2024 | ISBN: 8868804433 | 492 pages | MOBI | 17 Mb
This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning.

Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization.
Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises.
Whether you are new to Databricks and trying to learn a new platform, a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams.
What You Will Learn
Foundational principles of Lakehouse architectureKey features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live TablesDatabricks Data Intelligence Platform and key functionalitiesBuilding and deploying GenAI Applications from data ingestion to model servingDatabricks pricing, platform security, DBRX, and many more topics
Who This Book Is For
Solution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their GenAI solutions with the Data Intelligence Platform. This is also a handbook for senior execs who need to communicate the value of Databricks to customers. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.

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Databricks ML in Action: Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment by Stephanie Rivera, Anastasia Prokaieva, Amanda Baker
English | May 17, 2024 | ISBN: 1800564899 | 266 pages | EPUB | 25 Mb
Get to grips with autogenerating code, deploying ML algorithms, and leveraging various ML lifecycle features on the Databricks Platform, guided by best practices and reusable code for you to try, alter, and build on

Key FeaturesBuild machine learning solutions faster than peers only using documentationEnhance or refine your expertise with tribal knowledge and concise explanationsFollow along with code projects provided in GitHub to accelerate your projectsPurchase of the print or Kindle book includes a free PDF eBookBook Description
Discover what makes the Databricks Data Intelligence Platform the go-to choice for top-tier machine learning solutions. Written by a team of industry experts at Databricks with decades of combined experience in big data, machine learning, and data science, Databricks ML in Action presents cloud-agnostic, end-to-end examples with hands-on illustrations of executing data science, machine learning, and generative AI projects on the Databricks Platform.
You'll develop expertise in Databricks' managed MLflow, Vector Search, AutoML, Unity Catalog, and Model Serving as you learn to apply them practically in everyday workflows. This Databricks book not only offers detailed code explanations but also facilitates seamless code importation for practical use. You'll discover how to leverage the open-source Databricks platform to enhance learning, boost skills, and elevate productivity with supplemental resources.
By the end of this book, you'll have mastered the use of Databricks for data science, machine learning, and generative AI, enabling you to deliver outstanding data products.
What you will learnSet up a workspace for a data team planning to perform data scienceMonitor data quality and detect driftUse autogenerated code for ML modeling and data explorationOperationalize ML with feature engineering client, AutoML, VectorSearch, Delta Live Tables, AutoLoader, and WorkflowsIntegrate open-source and third-party applications, such as OpenAI's ChatGPT, into your AI projectsCommunicate insights through Databricks SQL dashboards and Delta SharingExplore data and models through the Databricks marketplaceWho this book is for
This book is for machine learning engineers, data scientists, and technical managers seeking hands-on expertise in implementing and leveraging the Databricks Data Intelligence Platform and its Lakehouse architecture to create data products.
Table of ContentsGetting Started with This Book and Lakehouse ConceptsDesigning Databricks: Day OneBuilding Out Our Bronze LayerGetting to Know Your DataFeature Engineering on DatabricksSearching for a SignalProductionizing ML on DatabricksMonitoring, Evaluating, and More

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David Lynch's American Dreamscape: Music, Literature, Cinema by Mike Miley
English | January 9th, 2025 | ISBN: 9798765102893 | 288 pages | True EPUB | 3.13 MB
How are David Lynch's films as much in dialogue with literary and musical traditions as they are cinematic ones?

By interrogating this question, David Lynch's American Dreamscape broadens the interpretive horizons of Lynch's filmography, calling for a new approach to Lynch's films that goes beyond cinema and visual art to explore how Lynch's work engages with literary and musical works that have shaped the American imagination. As much as Lynch stands as a singular artistic voice, his work arises from and taps into the cultural zeitgeist in a way that illuminates not only his approach to creativity but also the way works interact with each other in an age of mass media. From children's literature to teen tragedy ballads, Nathanael West and Cormac McCarthy to folk music and mixtapes, David Lynch's American Dreamscape investigates the cultural frequencies Lynch's films tune into and positions Lynch's work as a conduit for American popular culture, a medium or channel through which the subconscious of American life finds its way into full view.
The book expands upon this approach by discussing how artists such as David Foster Wallace and Lana Del Rey graft Lynch's affiliative, cinematic sensibility onto their own projects. Reading their work as intertextual engagements with Lynch's films further illustrates the versatile interactions among creators and audiences to generate more works, readers, and readings.

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Dawn's Early Light: Taking Back Washington to Save America by Kevin Roberts, J. D. Vance
English | November 12, 2024 | ISBN: 0063353504 | 304 pages | PDF | 2.58 Mb
AN INSTANT NATIONAL BESTSELLER WITH A FOREWORD BY J.D. VANCE

Heritage Foundation president Kevin Roberts outlines a peaceful "Second American Revolution" for voters looking to shift the power back into the hands of the people.
America is on the brink of destruction. A corrupt and incompetent elite has uprooted our way of life and is brainwashing the next generation. Many so-called conservatives are as culpable as their progressive counterparts.
In this ambitious and provocative book, Heritage Foundation President Dr. Kevin Roberts announces the arrival of a New Conservative Movement. His message is simple: Global elites - your time is up.
Dawn's Early Light blazes a promising path for the American people to take back their country. Chapter by chapter, it identifies institutions that conservatives need to build, others that we need to take back, and more still that are too corrupt to save: Ivy League colleges, the FBI, the New York Times, the National Institute of Allergy and Infectious Diseases, the Department of Education, BlackRock, the Bill and Melinda Gates Foundation, the National Endowment for Democracy, to name a few.
All these need to be dissolved if the American way of life is to be passed down to future generations.
The good news is, we're going to win.
The Swamp is so drunk on power that the elites don't realize the ground is moving beneath their feet. In Washington, they wear foreign flags on their lapels, but they don't protect our border. They wave around the Constitution, but they don't respect its wisdom. They appeal to Reagan, but Reagan would never put up with this non-sense.
Their decadence will be their downfall. A new day is here.

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Daydreaming in the Solar System: Surfing Saturn's Rings, Golfing on the Moon, and Other Adventures in Space Exploration by John E. Moores, Jesse Rogerson, Michelle D. Parsons
English | October 22, 2024 | ISBN: 0262049295 | 256 pages | PDF | 3.57 Mb
A thrilling journey through the solar system that merges imagination with hard science.

Imagine traveling to the far reaches of the solar system, pausing for close-up encounters with distant planets, moons, asteroids, and comets, accompanied by a congenial guide to the science behind what you see. What, for instance, would it be like to fly in Titan's hazy atmosphere? To walk across the surface of Mercury? To feel the rumble of a volcano brewing on one of Jupiter's largest moons? In Daydreaming in the Solar System, John Moores and Jesse Rogerson bring that dream to virtual life. Through a combination of story and science they let readers know what such an otherworldly experience would actually look, feel, and even taste like.
With data gathered over the decades by our robotic spacecraft, and with Michelle Parsons's evocative illustrations, Moores and Rogerson boldly take you where no living being has gone before, along the way giving an engaging and accurate explanation of the science. Where Carl Sagan's storied "spaceship of the imagination" provided a window to outer space, Daydreaming in the Solar System opens a door, inviting readers to step through and truly explore the strange new worlds of the solar system. Undertaking this interplanetary journey powered by hard science, there is no limit to where your daydreams can take you.

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Anna Labzina, "Days of a Russian Noblewoman: The Memories of Anna Labzina, 1758-1821 "
English | ISBN: 0875805892 | 2001 | 202 pages | PDF | 10 MB
Providing a unique glimpse into the domestic life of Russia's nobility in the late eighteenth and early nineteenth centuries, Days of a Russian Noblewoman combines a rare memoir and a diary, now translated into English for the first time. Anna Labzina was relatively well educated by the standards of her day, and she traveled widely through the Russian empire. Yet, unlike most writers of her time, she writes primarily as a dutiful, if inwardly rebellious, daughter and wife, reflecting on the onerous roles assigned to women in a male-centered society.

Labzina was married young to Alexander Karamyshev, who, while well regarded in political and scholarly circles of his day, proved to be brutish and abusive at home. A "Russian Voltairian," he professed atheism and free love. His unbridled behavior caused Labzina much grief, which she vividly recalls in her memoir. Because she moved among aristocratic circles, her reminiscences bring readers face to face with celebrated figures of politics and literature, including the Empress Catherine the Great and the "Radiant Prince" Grigorii Potemkin. As a pious and charitable woman, Labzina also speaks for others who rarely had a voice in literature: serfs, prisoners, and political exiles.
Labzina wrote both her memoir and her diary during her second marriage, to Alexander Labzin, a leader in Russian Freemasonry and in the movement for religious revival. At the same time, she became actively involved in the spiritual life of his lodge, the Dying Sphinx. Her account of her spiritual development and her social sphere offer unparalleled insights into male and female sensibilities of the time.
Read more

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DC Comics Year By Year, New Edition: A Visual Chronicle by Alan Cowsill, Alex Irvine
English | October 1, 2019 | ISBN: 1465485783 | 376 pages | PDF | 215 Mb
The most comprehensive guide to the history of DC Comics ever published

In 1938, Superman led the charge. The world's first Super Hero was soon followed by his Justice League teammates Batman, Wonder Woman, the Flash, Aquaman, Shazam! and Green Lantern. These heroes, and their Super-Villainous foes such as Lex Luthor and The Joker, became the foundation of DC Comics. You can trace these characters' evolution, and learn about the company and creators who made them the enduring pop culture icons they are today in DC Comics Year By Year: A Visual Chronicle - the most comprehensive, chronological history of DC Comics ever published.
Fully updated, this best-selling, visually stunning book details the debuts and careers of every major hero and villain in the DC Universe. It also chronicles the company's fascinating 85-year history, highlighting its publishing milestones and expansion into movies and television, alongside the real-world events that shaped the times.
Created in full collaboration with DC Comics and written by leading comics historians Matthew K. Manning, Daniel Wallace, Mike McAvennie, Alex Irvine, Alan Cowsill and Melanie Scott, the new edition brings the DC Comics story right up to date, covering recent landmark events such as Rebirth, Dark Nights: Metal, Doomsday Clock and Heroes in Crisis.
DC Comics Year By Year: A Visual Chronicle is guaranteed to keep fans enthralled for hours on end.
(TM) & © DC Comics. (s19)

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De Gruyter Handbook of Drone Warfare (De Gruyter Contemporary Social Sciences Handbooks) by James Patton Rogers
English | September 3, 2024 | ISBN: 311074192X | 517 pages | MOBI | 2.32 Mb
In 2010, 60 states had a military drone program. Today at least 113 countries and 65 non-state actors now have access to weaponized drone technologies. Alongside this, established 'drone powers' - the U.S., China, Turkey, and Iran - have expanded their own use of military drones, increasing the sale and deployment of drones around the world. In the De Gruyter Handbook of Drone Warfare, drone expert, policy adviser, and historian, Dr James Patton Rogers, brings together 37 of the world's leading voices on the growing issues of commercial and military drone technologies.

From the origins of military drones in the early 1900s and the resurgence of drone use during the War on Terror, through to the global proliferation of drones across Europe, Africa, and the Middle East, this handbook explores the moral, ethical, technological, legal, military, geopolitical, social, and strategic issues at the heart of drone warfare. The first handbook of its kind, the volume also addresses Russia's offensive war against Ukraine, the rise of Iranian and Houthi drones, and provides a focused analysis of the future of drone warfare and the opportunities and perils of AI, autonomy, and swarming technologies in the coming Third Drone Age.

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