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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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Python-Powered Financial Analysis: Automate Your Excel Tasks by Hayden Van Der Post, Reactive Publishing
English | April 4, 2025 | ISBN: N/A | ASIN: B0F3V9SCJV | 698 pages | EPUB | 0.62 Mb
Reactive Publishing

Unlock a new level of speed, precision, and power in your financial workflows.
In Python-Powered Financial Analysis, Hayden Van Der Post delivers a razor-sharp, hands-on guide for finance professionals who are ready to ditch the drudgery of repetitive Excel tasks and embrace the future of automation. Whether you're deep in corporate FP&A, investment analysis, or simply want to supercharge your spreadsheet game, this book bridges the gap between Excel and Python with real-world, immediately usable code.
From automating monthly reporting cycles to building dynamic financial models that self-update, you'll learn how to wield Python like a second brain-freeing your time for deeper strategic insights.
Inside, you'll masterython fundamentals tailored for financeAutomating Excel reports, charts, and dashboardsSeamless integration with pandas, openpyxl, and xlwingsCleaning, merging, and analyzing messy datasetsBuilding scalable workflows that outperform manual processesPerfect for analysts, CFOs, and entrepreneurs alike, this book doesn't just teach you how to code-it teaches you how to think like a financial engineer.
Ready to stop working in Excel and start working above it?
Then it's time to put Python to work for you.

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Q, the First Writing about Jesus By Yoseop Ra
2016 | 280 Pages | ISBN: 1498283861 | EPUB | 1 MB
This book shows readers the formation of Q by exploring how the texts were subjected to redaction four times. As author Yoseop Ra demonstrates, the first redaction of Q conveys the words and deeds of the historical Jesus and then the rest of redactors imposed their own theological interpretation to the words and deeds of Jesus. His argument will provide readers with a fresh look on how the earliest "Jesus movement" was formed in the thirties of the first century CE. Q is a hypothetical document extracted from the common source between Matthew and Luke. Thus, it is not easy to distinguish the different layers of redaction embedded in Q. However, form critical, redaction critical, composition critical, and socio-historical approaches to it makes readers separate the four layers of redaction from Q. Each layer will show how the disciples of Jesus moved from the countryside to Jerusalem via some rural cities expanding their boundary.

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Qualitative Research for Quantitative Researchers by Helen Kara
English | May 30, 2022 | ISBN: 1529759994 | 248 pages | PDF | 4.58 Mb
Approaching qualitative research for the first time and unsure how to get started? This book captures what you need to know to jump into effective qualitative or mixed methods research.

The book gets you up to speed on the specifics of qualitative research, while showing how it complements quantitative research and how to draw on and hone your existing skills to conduct impactful research. It covers the whole research process, from explaining what theories are for and planning your research design, through gathering and working with your data, to developing good practice in research reporting and dissemination.
The book also:
*Showcases the value of qualitative research, helping you understand its relevance, credibility and validity.
*Grapples with how to decolonise your approach, do research in an ethical and inclusive way, and debias your thinking.
*Challenges you to rethink how you conduct research and choose the most appropriate methods for your project.
Giving you a fuller understanding of methods and methodologies to benefit your work regardless of the approach you choose, this book encourages you to discover the joy of qualitative research.

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