“…Learn professional Python style, best practices, and good programming habits Build clients and servers using TCP, UDP, XML-RPC, and be exposed to higher-level libraries like SocketServer and Twisted Develop GUI applications using Tkinter and other available toolkits Improve application performance by writing extensions in C/C++, or enhance I/O-bound code with multithreading Discover SQL and relational databases, ORMs, and even non-relational (NonSQL) databases like MongoDB Learn the basics of Web programming, including Web clients and servers, plus CGI and WSGI Expose yourself to regular expressions and powerful text processing tools for creating and parsing CSV, JSON, and XML data Interface with popular Microsoft Office applications such as Excel, PowerPoint, and Outlook using COM client programming Dive deeper into Web development with the Django framework and cloud computing with Google App Engine Explore Java programming with Jython, the way to run Python code on the JVM Connect to Web services Yahoo! …”

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“…Coverage includes Significance of style: How good style improves quality and actually saves time over the full project life cycle Before you code: Configuring your LabVIEW environment, and organizing your files on disk and in the LabVIEW project LabVIEW project specifications: A specialized standard for specifying LabVIEW application requirements Efficient VI layout and development: front panel, block diagram, icons, and connectors Data structures: Choosing data types, efficient use of arrays and clusters, and special considerations with nested data structures Error handling strategies: Trapping and reporting errors for robust and reliable applications Design patterns: Standard VI architectures and application frameworks that promote good style Documentation: Essential rules for source code documentation and streamlining the process Code reviews: Enforcing a style convention using a checklist, the LabVIEW VI Analyzer Toolkit, and peer reviews Appendixes: Convenient glossary and style rules summary This book will be indispensable to anyone who wants to develop or maintain quality LabVIEW applications: developers, managers, and end users alike. …”

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“…What you will learn Design graph data models and master schema design best practices Work with the NetworkX and igraph frameworks in Python Store, query, ingest, and refactor graph data Store your graphs in memory with Neo4j Build and work with projections and put them into practice Refactor schemas and learn tactics for managing an evolved graph data model Who this book is for If you are a data analyst or database developer interested in learning graph databases and how to curate and extract data from them, this is the book for you. …”

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“…What you will learn Explore the basics of modern Python and async I/O programming Get to grips with basic and advanced concepts of the FastAPI framework Deploy a performant and reliable web backend for a data science application Integrate common Python data science libraries into a web backend Integrate an object detection algorithm into a FastAPI backend Build a distributed text-to-image AI system with Stable Diffusion Add metrics and logging and learn how to monitor them Who this book is for This book is for data scientists and software developers interested in gaining knowledge of FastAPI and its ecosystem to build data science applications. …”

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“…Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book Description Do you want to master Natural Language Processing (NLP) but don't know where to begin? …”

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