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Python APIs: From Concept to Implementation by Robert Johnson
English | October 24, 2024 | ISBN: N/A | ASIN: B0DKX8XTVH | 457 pages | PDF | 2.22 Mb
"Python APIs: From Concept to Implementation" is an essential guide for anyone seeking to master the art of API development using Python. This comprehensive resource covers the fundamental concepts of APIs, unraveling their architecture, protocols, and real-world applications. With a clear focus on RESTful APIs, this book explores the design principles and best practices required to build intuitive and scalable APIs. From selecting the right data formats to implementing robust security measures, the book provides detailed insights that cater to the evolving needs of modern software development.

Delving into practical applications, the book offers step-by-step guidance on utilizing popular Python frameworks like Flask and FastAPI to construct efficient APIs. Readers are taken through the entire lifecycle of API development, from documentation and testing to deployment and scaling. The inclusion of advanced topics such as asynchronous programming, integration strategies, and performance optimization ensures a comprehensive understanding.
All aspects of API development are explored to prepare readers for the challenges of integrating APIs into dynamic applications and scaling them to handle increased demand. "Python APIs: From Concept to Implementation" equips beginners and seasoned developers alike with the knowledge and tools needed to create powerful, reliable, and secure APIs using Python's versatile capabilities. Whether you're building simple applications or managing complex enterprise systems, this book is your ultimate companion in achieving robust API solutions.

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Python Crashkurs: Eine praktische, projektbasierte Programmiereinführung (German Edition) by Eric Matthes, Volkmar Gronau
German | November 10, 2023 | ISBN: 3864909899 | 648 pages | MOBI | 5.47 Mb
Der Schnellkurs für angehende Python-ProfisVerwenden Sie Python-Bibliotheken und -Werkzeuge, darunter pytest, Pygame, MatDescriptionlib, Descriptionly und DjangoBehebung von Programmierfehlern und Lösung gängiger ProgrammierproblemeNeu in dieser Ausgabe: u.a. VS Code für die Textbearbeitung und das pathlib-Modul für die DateiverwaltungPython Crashkurs zählt zu den weltweiten Bestsellern unter den Einführungen in die Programmiersprache Python. Mit dieser kompakten und gründlichen Anleitung werden Sie in kürzester Zeit Programme schreiben, Probleme lösen und funktionierende Anwendungen entwickeln.

Zu Beginn führt Sie Autor Eric Matthes in grundlegende Programmierkonzepte wie Variablen, Listen, Klassen und Schleifen ein. Sie werden Ihr neues Wissen in die Praxis umsetzen, indem Sie ein von Space Invaders inspiriertes Arcade-Spiel konzipieren und eine Reihe von Datenvisualisierungen mit den praktischen Python-Bibliotheken programmieren.
Mit den Übungen des Buches lernen Sieleistungsfähige Python-Bibliotheken und -Werkzeuge zu verwenden, darunter pytest, Pygame, MatDescriptionlib, Descriptionly und Djangoimmer komplexere 2D-Spiele zu erstellen, die auf Tastendruck und Mausklicks reagierenAnwendungen zu bauen, mit denen Benutzer Konten erstellen und ihre Daten verwalten können. Stellen Sie Anwendungen online bereit.interaktive Datenvisualisierungen mit einer Vielzahl von Datensätzen zu generierenProgrammierfehler zu beheben und klassische Programmierprobleme zu lösenNeu in dieser Auflage: Diese 3. Auflage wurde komplett auf den jüngsten Stand des Python-Codes gebracht. Zu den neuen und aktualisierten Themen gehören VS Code für die Textbearbeitung, das pathlib-Modul für die Dateiverwaltung, pytest für das Testen Ihres Codes sowie die neuesten Funktionen von MatDescriptionlib, Descriptionly und Django.
Wenn Sie in die Programmierung einsteigen wollen, wird Ihnen Python Crashkurs die Fähigkeiten vermitteln, schnell echte Programme zu schreiben.

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Python Data Wrangling for Business Analytics (Python for Business Analytics) by George Snypes
English | November 18, 2024 | ISBN: 8230433925 | 226 pages | EPUB | 1.10 Mb
Master the essential skills of modern data analysis with this comprehensive guide to Python data wrangling, data cleaning, and business analytics. Whether you're a business analyst moving from Excel to Python, a data scientist optimizing workflows, or an analytics professional handling large datasets, this practical guide bridges the gap between basic Python programming and real-world data challenges.

What Makes This Book Different:
Unlike theoretical guides, this hands-on manual tackles actual business scenarios you'll encounter daily. Learn through practical exercises using real-world datasets from various industries. Master professional-grade data cleaning techniques used by leading companies for customer analysis, sales reporting, financial data processing, and marketing analytics.
Essential Skills You'll Master:
Data cleaning and preprocessing with pandas and numpy form the foundation of your learning journey. You'll advance to automated data validation and quality checks, ensuring your analyses are built on reliable data. Through hands-on practice, you'll develop expertise in advanced data transformation techniques and complex dataset merging. Time series data handling becomes second nature as you work through real examples. The book covers text data processing, standardization techniques, ETL pipeline development, and crucial performance optimization methods for large datasets.
Real-World Applications:
Your journey through data wrangling will focus on practical business scenarios. You'll learn to handle data challenges in customer analytics, transforming raw customer data into actionable segments. Sales performance tracking becomes straightforward as you master data integration techniques. Financial reporting transforms from a manual process into an automated workflow. Marketing campaign analysis, supply chain analytics, and operations management datasets become opportunities rather than obstacles. You'll work with multiple data sources, from Excel files and databases to APIs and cloud services.
Technical Coverage:
The comprehensive guide to pandas for data manipulation starts with fundamentals and progresses to advanced techniques. You'll master step-by-step data cleaning workflows that can be applied immediately in your daily work. Missing data handling strategies ensure no valuable information is lost. Data validation frameworks protect the integrity of your analysis. Automated reporting techniques save hours of manual work. Best practices for reproducible analysis ensure your work meets professional standards. Code optimization methods keep your solutions scalable and efficient.

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Python for AI: Applying Machine Learning in Everyday Projects by Robert Johnson
English | October 23, 2024 | ISBN: N/A | ASIN: B0DKR9NLQB | 673 pages | PDF | 3.29 Mb
"Python for AI: Applying Machine Learning in Everyday Projects" is a comprehensive guide designed for anyone keen to delve into the transformative world of artificial intelligence using the potent yet accessible Python programming language. This book meticulously covers essential AI concepts, offering readers a structured path from understanding basic Python syntax to implementing sophisticated machine learning models. With a blend of foundational theories and practical applications, each chapter deftly guides readers through relevant techniques and tools, such as TensorFlow, Keras, and scikit-learn, that are crucial for modern AI development.

Whether you are a beginner taking your first steps into AI or someone with programming experience seeking to expand your skill set, this book ensures you are equipped with the knowledge needed to tackle real-world challenges. It goes beyond mere theory, providing insights into deploying and integrating AI models, handling large datasets, and effectively developing solutions applicable across various industries. By the end of this journey, readers will not only grasp the intricacies of AI projects but also gain the confidence to innovate and contribute significantly to the evolving landscape of artificial intelligence.

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Python for Computer Vision: Unlocking Image Processing and Machine Learning with Python
English | 2024 | ISBN: 9798230607045 | 142 pages | PDF | 0.72 Mb
"Python for Computer Vision" is a comprehensive guide that equips you with the knowledge and skills needed to excel in the field of computer vision. This book takes you on a journey through the essential concepts of image processing, object detection, and machine learning, all using the power and versatility of Python.

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Python for Natural Language Processing: Programming with NumPy, scikit-learn, Keras, and PyTorch (Cognitive Technologies) by Pierre M. Nugues
English | July 10, 2024 | ISBN: 3031575482 | 545 pages | MOBI | 25 Mb
Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial tool that is used, to various extents, by countless companies. As such, a revision of this book was deemed necessary to catch up with the recent breakthroughs, and the author discusses models and architectures that have been instrumental in the recent progress of Natural Language Processing.As in the first two editions, the intention is to expose the reader to the theories used in Natural Language Processing, and to programming examples that are essential for a deep understanding of the concepts. Although present in the previous two editions, Machine Learning is now even more pregnant, having replaced many of the earlier techniques to process text. Many new techniques build on the availability of text.

Using Python notebooks, the reader will be able to load small corpora, format text, apply the models through executing pieces of code, gradually discover the theoretical parts by possibly modifying the code or the parameters, and traverse theories and concrete problems through a constant interaction between the user and the machine. The data sizes and hardware requirements are kept to a reasonable minimum so that a user can see instantly, or at least quickly, the results of most experiments on most machines.
The book does not assume a deep knowledge of Python, and an introduction to this language aimed at Text Processing is given in Ch. 2, which will enable the reader to touch all the programming concepts, including NumPy arrays and PyTorch tensors as fundamental structures to represent and process numerical data in Python, or Keras for training Neural Networks to classify texts. Covering topics like Word Segmentation and Part-of-Speech and Sequence Annotation, the textbook also gives an in-depth overview of Transformers (for instance, BERT), Self-Attention and Sequence-to-Sequence Architectures.

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Python Options Lab: Build and Backtest Iron Condors, Straddles & Advanced Spreads for Consistent Profits by Hayden Van Der Post, Reactive Publishing, Alice Schwartz
English | April 15, 2025 | ASIN: B0F57LP1QT | 548 pages | EPUB | 0.65 Mb
Reactive Publishing

Discover the full potential of algorithmic options trading with Python Options Lab - your definitive hands-on guide to building, testing, and optimizing profitable options strategies using Python.
Whether you're an experienced quant, a retail trader hungry for an edge, or a financial analyst automating strategy workflows, this book is your launchpad to mastering the art and code behind Iron Condors, Straddles, Strangles, and complex multi-leg spreads.
Inside, you'll build a complete trading lab using Python-from scratch. You'll learn how to:Code high-precision payoff structures for Iron Condors, Straddles, and credit spreadsAutomate backtesting frameworks using real options dataAnalyze win rates, max drawdowns, and volatility responseIntegrate dynamic volatility modeling for smarter trade timingOptimize trade sizing and portfolio integration with advanced Python toolsThis isn't just theory-it's implementation. Every chapter includes code you can plug in, test, and deploy immediately.
Whether you're seeking consistent passive income, a quant edge, or to transform your manual options workflow into a fully automated engine, Python Options Lab gives you the weaponry.

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Python Programming for Mathematics (Chapman & Hall/CRC The Python Series) by Julien Guillod
English | December 4, 2024 | ISBN: 1032910119 | 248 pages | MOBI | 7.38 Mb
Python Programming for Mathematics focuses on the practical use of the Python language in a range of different areas of mathematics. Through fifty-five exercises of increasing difficulty, the book provides an expansive overview of the power of using programming to solve complex mathematical problems.

This book is intended for undergraduate and graduate students who already have learned the basics of Python programming and would like to learn how to apply that programming skill in mathematics.
FeaturesInnovative style that teaches programming skills via mathematical exercises.Ideal as a main textbook for Python for Mathematics courses, or as a supplementary resource for Numerical Analysis and Scientific Computing courses.

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Python Programming Using Google Colab
English | 2024 | ISBN: 9798227630643 | 97 pages | PDF | 2.74 Mb
Python is one of the Topmost Programming Languages in the World.

Python has emerged as the No.1 Programming Language of choice for Artificial Intelligence (AI), Data Science, Machine Learning (ML) and Deep Learning requirements.
Python is very simple and easy to use. It is just like the spoken English.
The ease of programming in python is made easier due to Google Colab, the cloud development environment.
Colab is intuitive. It tells the line in which the error is there and also the solution to the error, which is pretty useful most of the times. It also provides a link to stack overflow forum, where discussion about the error is being discussed.
This books covers the basics as well as advanced topics.
Arrays and libraries like NumPy, Pandas, MatDescriptionlib and Seaborn are covered extensively in this book.

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Ready for Learning and Ready for Life : Bridging the Disconnects Between Research and Practice By Betsy Gunzelmann
2016 | 139 Pages | ISBN: 1475815409 | EPUB | 1 MB
Many of our children are poorly prepared to face the challenges of school and growing up in our complex society. The term readiness is misrepresented in the field of education; this book implies a different type of readiness involving a process that can be taught and nurtured within each child. Going beyond what our schools typically assess to determine readiness to attend school, which is often based upon age, this book addresses the synergistic aspects of readiness, learning, and adaptation that allow children to be optimally ready to learning and capable of handing for challenges and transitions. This more holistic and interactive understanding of readiness involves not only the typical physical development, but also psychological aspects including the cognitive, emotional, spiritual, behavioral, and environmental pieces. The goal of this book is to provide the necessary lens through which we can see what is really hindering many children in schools today, along with possible approaches and interventions typically not seen as educational in nature, but what may be just the needed prescription for our ailing youth.

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Realizing the Metaverse: A Communications and Networking Perspective by Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato
English | December 12, 2024 | ISBN: 1394188900 | 208 pages | MOBI | 6.37 Mb
A guide to the challenges in making virtual reality, reality

The Metaverse, a version of the internet in which online interactions take place in real time within fully realized virtual spaces, has been promised as the next frontier in wireless communication. It has drawn huge investment from Silicon Valley and widespread media attention. However, the technologies required to make the Metaverse a reality are still in their infancy, and significant barriers must be overcome if this massive step is to be taken.
Realizing the Metaverse provides a systematic overview of these challenges and their likely solutions. Focusing on five key areas―infrastructure, access, intelligence, security, and future developments―it offers one of the first comprehensive, formalized treatments of the Metaverse as a nascent reality. It promises to be an integral contribution to the future development of Metaverse technologies.
Realizing the Metaverse readers will also find:An editorial team with extensive research experience in the fieldDetailed discussion of topics such as augmented reality (AR) adaptation, haptic feedback, artificial intelligence, and moreEnlightening discussion of open questions and future prospects for researchRealizing the Metaverse is ideal for graduate and advanced undergraduate students in wireless technology, network communications, and related fields, as well as for researchers and industry professionals involved with the Metaverse or adjacent technologies.

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Reassessing Order and Disorder in the Middle East : Regional Imbalance or Disintegration? By Robert Mason
2017 | 237 Pages | ISBN: 1442264896 | EPUB | 1 MB
The Middle East is undergoing a period of profound change, partly brought about by the United States' interventions in Afghanistan and Iraq, but also by the Arab Spring. This is affecting regional relations between states and between the region and the US. For example, Qatar, Saudi Arabia, and the UAE have supported rebel groups in Syria against the government, which was supported by Iran. Political Islam is a threat to both monarchies in the Gulf and secular states. Non-state actors, such as Islamic State (IS) and the Kurdish Regional Government (KRG) are assuming an increasingly important role in shaping the region. Further, states such as Qatar and Turkey have undertaken their own quests to shift the existing regional balance of power in their favor through soft power deployment or new or broader international alliances. Lastly, the close strategic US-Saudi relationship, primarily based on oil and arms, is being eroded by a new economic reality and divergent foreign policy interests. This shifting alliances and new regional order is the focus of the book, which examines the factors that significantly impact the foreign relations between the countries of the Middle East. Through multiple case studies, the essays identify the emerging trends and influences that are now dominating the political decision making and policy behavior of many key states. The contributors, both scholars and practitioners, investigate the main foreign policy challenges and debates in the various states, the changing relations and balance of power between them, and the continuing role of the United States in the Middle East. Each chapter provides an overview of the last decade or so, before delving into the current challenges and opportunities (often in light of the US as a power with the ability to significantly impinge on state policies, and what these issues mean for the regional order. This primer on state politics and the transformative capacity of the Middle East will appeal to anyone studying the region. Contributions by: Gawdat Bahgat, Martin Beck, Kamran Bokhari, Morgane Colleau, Bryan Gibson, Christian Henderson, René Rieger, Farid Senzai, and Sebastian Sons

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Recent Advances in Mathematical Analysis: Celebrating the 70th Anniversary of Francesco Altomare (Trends in Mathematics) by Anna Maria Candela, Mirella Cappelletti Montano, Elisabetta Mangino
English | May 19, 2023 | ISBN: 3031200209 | 481 pages | MOBI | 78 Mb
This book collects selected peer reviewed papers on the topics of Nonlinear Analysis, Functional Analysis, (Korovkin-Type) Approximation Theory, and Partial Differential Equations. The aim of the volume is, in fact, to promote the connection among those different fields in Mathematical Analysis. The book celebrates Francesco Altomare, on the occasion of his 70th anniversary.

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Recent Advances in Time-Series Classification―Methodology and Applications by Vladimir Kurbalija
English | April 27, 2025 | ISBN: 3031775260 | 341 pages | EPUB | 69 Mb
This book examines the impact of such constraints on elastic time-series similarity measures and provides guidance on selecting suitable measures. Time-series classification frequently relies on selecting an appropriate similarity or distance measure to compare time series effectively, often using dynamic programming techniques for more robust results. However, these techniques can be computationally demanding, which results in the usage of global constraints to reduce the search area in the dynamic programming matrix. While these constraints cut computation time significantly (by up to three orders of magnitude), they may also affect classification accuracy.

Additionally, the importance of the nearest neighbor classifier (1NN) is emphasized for its strong performance in time-series classification, alongside the kNN classifier which offers stable results. This book further explores the weighted kNN classifier, which gives closer neighbors more influence, showing how it merges accuracy and stability for improved classification outcomes.

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Reclaiming Our Children, Reclaiming Our Schools : Reversing Privatization and Recovering Democracy in America's Public Schools By Eric Shyman
2016 | 155 Pages | ISBN: 1475829892 | EPUB | 1 MB
Reclaiming Our Children,Reclaiming our Schools offers both a comprehensive censure of the current corporate interest in privatizing public schooling as well as a framework for attaining meaningful education reform based in democracy and the combined will of the public. Using current research and sound philosophical and ethical arguments, Shyman argues for more attention to be paid to teacher expertise, participatory democratic practices, genuine valuation of ethnic and cultural diversity, attention to global citizenship and cooperation, and the prevention of private profit-based interests in public schooling policy and practice. By returning the power of the public school to the public and the true experts, public schools can become the most important tool in securing genuine cultural growth leading to a stronger, safer and more cooperative nation and world.

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