Systems Integration With Python 2nd Edition 2024

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SYSTEMS INTEGRATION WITH PYTHON 2nd Edition 2024

Author : Diego Rodrigues
Publisher : Diego Rodrigues
ISBN 13 :
Total Pages : 182 pages
Book Rating : 4./5 ( download)

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Book Synopsis SYSTEMS INTEGRATION WITH PYTHON 2nd Edition 2024 by : Diego Rodrigues

Download or read book SYSTEMS INTEGRATION WITH PYTHON 2nd Edition 2024 written by Diego Rodrigues and published by Diego Rodrigues. This book was released on 2024-11-03 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover "SYSTEMS INTEGRATION WITH PYTHON 2nd Edition 2024: A Quick and Practical Guide! Essential for Students and Professionals" – your definitive resource for mastering system integration in a practical and efficient way. Whether you are a beginner or an experienced professional, this book is designed to be the indispensable tool that will take your skills to the next level. Written by Diego Rodrigues, a best-selling author with over 1800 titles published in six languages, this manual offers a comprehensive approach that covers everything from the fundamentals of integration to the most advanced practices. With clear and direct language, each chapter is structured to provide deep learning and immediate application. You will learn how to connect systems through RESTful APIs, integrate cloud services like AWS, Google Cloud, and Azure, and manage both relational and non-relational databases with Python. Additionally, the book explores messaging techniques, process automation with CI/CD, and much more, all aimed at preparing you to face the technological challenges of today and tomorrow. Open the sample of this book and see how system integration can revolutionize your practices, optimizing processes, improving efficiency, and providing a strategic vision that will boost your projects and career. Tags: system integration python APIs RESTful integration databases cloud services Flask Django FastAPI CI/CD process automation continuous microservices messaging RabbitMQ Kafka SQLAlchemy Celery NoSQL MongoDB Redis Cassandra software development automation serverless DevOps infrastructure as code systems architecture cybersecurity monitoring testing data integration ETL data pipelines cloud storage MySQL PostgreSQL SQLite Docker Kubernetes Jenkins Ansible Terraform GitHub Bitbucket Jenkinsfile PySpark Hadoop Airflow Swagger OpenAPI YAML JSON XML REST SOAP MQTT WebSockets BLE edge computing machine learning artificial intelligence AWS Google Cloud Azure databricks Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes Kali Linux Nmap Metasploit Wireshark information security pen test cybersecurity Linux distributions ethical hacking vulnerability analysis system exploration wireless attacks web application security malware analysis social engineering Android iOS Social Engineering Toolkit SET computer science IT professionals cybersecurity careers cybersecurity expertise cybersecurity library cybersecurity training Linux operating systems cybersecurity tools ethical hacking tools security testing penetration test cycle security concepts mobile security cybersecurity fundamentals cybersecurity techniques cybersecurity skills cybersecurity industry global cybersecurity trends Kali Linux tools cybersecurity education cybersecurity innovation penetration test tools cybersecurity best practices global cybersecurity companies cybersecurity solutions IBM Google Microsoft AWS Cisco Oracle cybersecurity consulting cybersecurity framework network security cybersecurity courses cybersecurity tutorials Linux security cybersecurity challenges cybersecurity landscape cloud security cybersecurity threats cybersecurity compliance cybersecurity research cybersecurity technology

Pro Python System Administration

Author : Rytis Sileika
Publisher : Apress
ISBN 13 : 1484202171
Total Pages : 411 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Pro Python System Administration by : Rytis Sileika

Download or read book Pro Python System Administration written by Rytis Sileika and published by Apress. This book was released on 2014-11-21 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pro Python System Administration, Second Edition explains and shows how to apply Python scripting in practice. It will show you how to approach and resolve real-world issues that most system administrators will come across in their careers. This book has been updated using Python 2.7 and Python 3 where appropriate. It also uses various new and relevant open source projects and tools that should now be used in practice. In this updated edition, you will find several projects in the categories of network administration, web server administration, and monitoring and database management. In each project, the author will define the problem, design the solution, and go through the more interesting implementation steps. Each project is accompanied by the source code of a fully working prototype, which you’ll be able to use immediately or adapt to your requirements and environment. This book is primarily aimed at experienced system administrators whose day-to-day tasks involve looking after and managing small-to-medium-sized server estates. It will also be beneficial for system administrators who want to learn more about automation and want to apply their Python knowledge to solve various system administration problems. Python developers will also benefit from reading this book, especially if they are involved in developing automation and management tools.

Python Testing with Pytest

Author : Brian Okken
Publisher :
ISBN 13 : 9781680502848
Total Pages : 222 pages
Book Rating : 4.5/5 (28 download)

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Book Synopsis Python Testing with Pytest by : Brian Okken

Download or read book Python Testing with Pytest written by Brian Okken and published by . This book was released on 2017 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do less work when testing your Python code, but be just as expressive, just as elegant, and just as readable. The pytest testing framework helps you write tests quickly and keep them readable and maintainable - with no boilerplate code. Using a robust yet simple fixture model, it's just as easy to write small tests with pytest as it is to scale up to complex functional testing for applications, packages, and libraries. This book shows you how. For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and extensible testing framework. With a full-bodied fixture model that is unmatched in any other tool, the pytest framework gives you powerful features such as assert rewriting and plug-in capability - with no boilerplate code. With simple step-by-step instructions and sample code, this book gets you up to speed quickly on this easy-to-learn and robust tool. Write short, maintainable tests that elegantly express what you're testing. Add powerful testing features and still speed up test times by distributing tests across multiple processors and running tests in parallel. Use the built-in assert statements to reduce false test failures by separating setup and test failures. Test error conditions and corner cases with expected exception testing, and use one test to run many test cases with parameterized testing. Extend pytest with plugins, connect it to continuous integration systems, and use it in tandem with tox, mock, coverage, unittest, and doctest. Write simple, maintainable tests that elegantly express what you're testing and why. What You Need: The examples in this book are written using Python 3.6 and pytest 3.0. However, pytest 3.0 supports Python 2.6, 2.7, and Python 3.3-3.6.

Python for Unix and Linux System Administration

Author : Noah Gift
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449367186
Total Pages : 456 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Python for Unix and Linux System Administration by : Noah Gift

Download or read book Python for Unix and Linux System Administration written by Noah Gift and published by "O'Reilly Media, Inc.". This book was released on 2008-08-22 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is an ideal language for solving problems, especially in Linux and Unix networks. With this pragmatic book, administrators can review various tasks that often occur in the management of these systems, and learn how Python can provide a more efficient and less painful way to handle them. Each chapter in Python for Unix and Linux System Administration presents a particular administrative issue, such as concurrency or data backup, and presents Python solutions through hands-on examples. Once you finish this book, you'll be able to develop your own set of command-line utilities with Python to tackle a wide range of problems. Discover how this language can help you: Read text files and extract information Run tasks concurrently using the threading and forking options Get information from one process to another using network facilities Create clickable GUIs to handle large and complex utilities Monitor large clusters of machines by interacting with SNMP programmatically Master the IPython Interactive Python shell to replace or augment Bash, Korn, or Z-Shell Integrate Cloud Computing into your infrastructure, and learn to write a Google App Engine Application Solve unique data backup challenges with customized scripts Interact with MySQL, SQLite, Oracle, Postgres, Django ORM, and SQLAlchemy With this book, you'll learn how to package and deploy your Python applications and libraries, and write code that runs equally well on multiple Unix platforms. You'll also learn about several Python-related technologies that will make your life much easier.

Integrated Waste Biorefineries: Achieving Sustainable Development Goals, 2nd edition

Author : Mohammad Rehan
Publisher : Frontiers Media SA
ISBN 13 : 2832542158
Total Pages : 178 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Integrated Waste Biorefineries: Achieving Sustainable Development Goals, 2nd edition by : Mohammad Rehan

Download or read book Integrated Waste Biorefineries: Achieving Sustainable Development Goals, 2nd edition written by Mohammad Rehan and published by Frontiers Media SA. This book was released on 2024-01-11 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The United Nations' Sustainable Development Goals (SDGs) are designed to revolutionize societies to prepare for the future challenges. However, the practical implementation of such goals in many domains is are yet to be achieved despite of unique essence. Sustainable energy production (aligned with SDG 7), clean water and sanitation (aligned with SDG 6), sustainable waste services (aligned with SDG 11), and mitigating climate change impacts (aligned with SDG 13) have been the prime focus of SDGs. Moreover, much attention is being paid to research and development activities on waste prevention, reduction, recycling, and reuse to achieve responsible consumption and production (aligned with SDG 12). Waste biorefineries have emerged as a sustainable environmental management solution to achieve not only the aforementioned SDGs, but also to accomplish no poverty (aligned with SDG 1) and zero hunger (aligned with SDG 2) and to maintain well-being and good health aligned with (SDG 3) and decent work and economic growth (aligned with SDG 8) worldwide. This is true because integrated waste biorefineries can efficiently and sustainably produce fuels, heat, energy, power, and multiple value-added products and chemicals. It can further facilitate the transition from linear to circular economies and mitigate the major challenges faced, including environmental pollution, climate change, and adverse effects on public health. This Research Topic will focus on different types of waste biorefineries, current status, practical implications, optimization of waste-to-energy technologies, detailed life assessment studies, and future opportunities with a vision to achieve SDGs in the areas of sustainable energy generation, waste management, circular economies, and climate change mitigation. The editorial team of this special issue, consisting of world-renowned scientists including Highly Cited Researchers, welcomes submissions of original research articles, review articles, short communications, industrial and/or country/region case studies that covers the following enlisted topics: • Waste biorefineries (e.g., organic waste biorefinery, agricultural and forestry waste biorefinery, etc.) • Integration of different types of biorefineries • Sustainable development goals • Waste to energy technologies • Energy and resource recovery from biomass and other waste • Renewable and sustainable energy systems • Biomass and waste supply chain • Sustainable waste management systems • Mitigation of environmental pollution and climate change • Life cycle assessment • Sustainable circular and bio-based economies.

Effective Python

Author : Brett Slatkin
Publisher : Pearson Education
ISBN 13 : 0134034287
Total Pages : 251 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis Effective Python by : Brett Slatkin

Download or read book Effective Python written by Brett Slatkin and published by Pearson Education. This book was released on 2015 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective Python will help students harness the full power of Python to write exceptionally robust, efficient, maintainable, and well-performing code. Utilizing the concise, scenario-driven style pioneered in Scott Meyers's best-selling Effective C++, Brett Slatkin brings together 53 Python best practices, tips, shortcuts, and realistic code examples from expert programmers. Each section contains specific, actionable guidelines organized into items, each with carefully worded advice supported by detailed technical arguments and illuminating examples.

Python Machine Learning

Author : Sebastian Raschka
Publisher : Packt Publishing Ltd
ISBN 13 : 1783555149
Total Pages : 455 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Python Machine Learning by : Sebastian Raschka

Download or read book Python Machine Learning written by Sebastian Raschka and published by Packt Publishing Ltd. This book was released on 2015-09-23 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

Building Machine Learning Systems with Python

Author : Willi Richert
Publisher : Packt Publishing Ltd
ISBN 13 : 1782161414
Total Pages : 431 pages
Book Rating : 4.7/5 (821 download)

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Book Synopsis Building Machine Learning Systems with Python by : Willi Richert

Download or read book Building Machine Learning Systems with Python written by Willi Richert and published by Packt Publishing Ltd. This book was released on 2013-01-01 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them.This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro.

Soil Physics with Python

Author : Marco Bittelli
Publisher :
ISBN 13 : 0199683093
Total Pages : 461 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis Soil Physics with Python by : Marco Bittelli

Download or read book Soil Physics with Python written by Marco Bittelli and published by . This book was released on 2015 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative study presents concepts and problems in soil physics, and provides solutions using original computer programs. It provides a close examination of physical environments of soil, including an analysis of the movement of heat, water and gases. The authors employ the programminglanguage Python, which is now widely used for numerical problem solving in the sciences. In contrast to the majority of the literature on soil physics, this text focuses on solving, not deriving, differential equations for transport. Using numerical procedures to solve differential equations allowsthe solution of quite difficult problems with fairly simple mathematical tools. Numerical methods convert differential into algebraic equations, which can be solved using conventional methods of linear algebra. Each chapter introduces a soil physics concept, and proceeds to develop computer programsto solve the equations and illustrate the points made in the discussion.Problems at the end of each chapter help the reader practise using the concepts introduced. The text is suitable for advanced undergraduates, graduates and researchers of soil physics. It employs an open source philosophy where computer code is presented, explained and discussed, and provides thereader with a full understanding of the solutions. Once mastered, the code can be adapted and expanded for the user's own models, fostering further developments. The Python tools provide a simple syntax, Object Oriented Programming techniques, powerful mathematical and numerical tools, and a userfriendly environment.

Effective Python

Author : Brett Slatkin
Publisher :
ISBN 13 : 9787115634061
Total Pages : 0 pages
Book Rating : 4.6/5 (34 download)

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Book Synopsis Effective Python by : Brett Slatkin

Download or read book Effective Python written by Brett Slatkin and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Test-Driven Development with Python

Author : Harry Percival
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491958650
Total Pages : 554 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Test-Driven Development with Python by : Harry Percival

Download or read book Test-Driven Development with Python written by Harry Percival and published by "O'Reilly Media, Inc.". This book was released on 2017-08-02 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you’ll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques. If you’re ready to take your Python skills to the next level, this book—updated for Python 3.6—clearly demonstrates how TDD encourages simple designs and inspires confidence. Dive into the TDD workflow, including the unit test/code cycle and refactoring Use unit tests for classes and functions, and functional tests for user interactions within the browser Learn when and how to use mock objects, and the pros and cons of isolated vs. integrated tests Test and automate your deployments with a staging server Apply tests to the third-party plugins you integrate into your site Run tests automatically by using a Continuous Integration environment Use TDD to build a REST API with a front-end Ajax interface

Introducing Python

Author : Bill Lubanovic
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492051322
Total Pages : 634 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Introducing Python by : Bill Lubanovic

Download or read book Introducing Python written by Bill Lubanovic and published by "O'Reilly Media, Inc.". This book was released on 2019-11-06 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.

Rust for Network Programming and Automation, Second Edition

Author : Gilbert Stew
Publisher : GitforGits
ISBN 13 : 8119177347
Total Pages : 294 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Rust for Network Programming and Automation, Second Edition by : Gilbert Stew

Download or read book Rust for Network Programming and Automation, Second Edition written by Gilbert Stew and published by GitforGits. This book was released on 2024-06-14 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed with the needs of those interested in network programming and automation in mind, this updated "Rust for Network Programming and Automation" explores the realism of network programming within the robust Rust ecosystem. Building on top of Rust 1.68, this book takes you step-by-step through the essentials of network protocols, packet analysis, and network administration with up-to-date and thorough material. Starting with the fundamentals of TCP/IP, you will be introduced to the core principles of network communication, such as data packet structure and transmission. The book then moves on to cover important topics like IP addressing, subnetting, and gateway configuration, ensuring a thorough understanding of network fundamentals. The chapters focus on the practical aspects of network programming, particularly the use of popular Rust libraries such as Tokio, Mio, and Rust-async for asynchronous network programming. These libraries are thoroughly examined, demonstrating how to create TCP listeners, bind sockets, and handle incoming connections efficiently. Packet manipulation and analysis are also important topics, with practical examples using libraries like pnet and libtins. You will learn how to capture, process, and analyze network packets to gain an understanding of network traffic and identify potential problems. The book also focuses on network and performance monitoring, showing you how to set up and use various tools to track network availability, utilization, latency, packet loss, and jitter. Understanding these metrics allows you to ensure optimal network performance and reliability. Cloud network configuration, VPN setup, and data center networking are thoroughly covered, providing the necessary knowledge to manage and automate complex network environments. Each chapter is intended to build on the previous one, resulting in a coherent and comprehensive learning experience. With clear explanations, practical examples, and up-to-date content, "Rust for Network Programming and Automation" provides you with the skills you need to get started in network programming and automation with the most recent Rust release. Anyone looking to learn Rust for network-centric applications can use this book, as it covers the basics as well as advanced topics. Key Learnings Become fluent in the fundamentals of Rust-based TCP/IP programming. Use the pnet and libtins libraries to capture and analyze packets in depth. Use the Rust-async, Tokio, and Mio libraries to program asynchronous networks efficiently. Be well-versed in IP addressing, subnetting, and configuring gateways to assure a secure network installation. Learn to use Rust and OpenVPN to set up VPN connections. Get skilled in monitoring network availability, latency, and packet loss. Optimize network performance and uptime by automating routine tasks and configurations. Apply sophisticated Rust methods to the configuration and management of data center networks. Utilize AWS and rusoto to establish and oversee VPCs. Use packet analysis and monitoring to improve network security by identifying threats. Table of Content Basics of Network Automation Essentials of Linux for Networks Rust Basics for Networks Core Rust for Networks Rust Commands for Networks Programming & Designing Networks Establishing & Managing Network Protocols Packet & Network Analysis Network Performance Monitoring

Python in a Nutshell

Author : Alex Martelli
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596100469
Total Pages : 734 pages
Book Rating : 4.5/5 (961 download)

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Book Synopsis Python in a Nutshell by : Alex Martelli

Download or read book Python in a Nutshell written by Alex Martelli and published by "O'Reilly Media, Inc.". This book was released on 2006-07-14 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers Python programmers a straightforward guide to the important tools and modules of this open source language. It deals with the most frequently used parts of the standard library as well as the most popular and important third party extensions.

IBPS RRB SO Marketing Officer Scale 2 Exam 2024 (English Edition) - 10 Full Length Practice Mock Tests (2400+ MCQs) with Free Access to Online Test Series

Download IBPS RRB SO Marketing Officer Scale 2 Exam 2024 (English Edition) - 10 Full Length Practice Mock Tests (2400+ MCQs) with Free Access to Online Test Series PDF Online Free

Author : EduGorilla Prep Experts
Publisher : EduGorilla Community Pvt. Ltd.
ISBN 13 : 9355562144
Total Pages : 415 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis IBPS RRB SO Marketing Officer Scale 2 Exam 2024 (English Edition) - 10 Full Length Practice Mock Tests (2400+ MCQs) with Free Access to Online Test Series by : EduGorilla Prep Experts

Download or read book IBPS RRB SO Marketing Officer Scale 2 Exam 2024 (English Edition) - 10 Full Length Practice Mock Tests (2400+ MCQs) with Free Access to Online Test Series written by EduGorilla Prep Experts and published by EduGorilla Community Pvt. Ltd.. This book was released on 2024-06-27 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: • Best Selling Book in English Edition for IBPS RRB SO Marketing Officer Exam (Scale II) with objective-type questions as per the latest syllabus given by the Institute of Banking Personnel Selection. • IBPS RRB SO Marketing Officer Exam (Scale II) Preparation Kit comes with 10 Practice Mock Tests with the best quality content. • Increase your chances of selection by 16X. • IBPS RRB SO Marketing Officer Exam (Scale 2) Prep Kit comes with well-structured and 100% detailed solutions for all the questions. • Clear exam with good grades using thoroughly Researched Content by experts.

Learning PyTorch 2.0, Second Edition

Author : Matthew Rosch
Publisher : GitforGits
ISBN 13 : 8119177916
Total Pages : 190 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Learning PyTorch 2.0, Second Edition by : Matthew Rosch

Download or read book Learning PyTorch 2.0, Second Edition written by Matthew Rosch and published by GitforGits. This book was released on 2024-10-05 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning PyTorch 2.0, Second Edition" is a fast-learning, hands-on book that emphasizes practical PyTorch scripting and efficient model development using PyTorch 2.3 and CUDA 12. This edition is centered on practical applications and presents a concise methodology for attaining proficiency in the most recent features of PyTorch. The book presents a practical program based on the fish dataset which provides step-by-step guidance through the processes of building, training and deploying neural networks, with each example prepared for immediate implementation. Given your familiarity with machine learning and neural networks, this book offers concise explanations of foundational topics, allowing you to proceed directly to the practical, advanced aspects of PyTorch programming. The key learnings include the design of various types of neural networks, the use of torch.compile() for performance optimization, the deployment of models using TorchServe, and the implementation of quantization for efficient inference. Furthermore, you will also learn to migrate TensorFlow models to PyTorch using the ONNX format. The book employs essential libraries, including torchvision, torchserve, tf2onnx, onnxruntime, and requests, to facilitate seamless integration of PyTorch with production environments. Regardless of whether the objective is to fine-tune models or to deploy them on a large scale, this second edition is designed to ensure maximum efficiency and speed, with practical PyTorch scripting at the forefront of each chapter. Key Learnings Master tensor manipulations and advanced operations using PyTorch's efficient tensor libraries. Build feedforward, convolutional, and recurrent neural networks from scratch. Implement transformer models for modern natural language processing tasks. Use CUDA 12 and mixed precision training (AMP) to accelerate model training and inference. Deploy PyTorch models in production using TorchServe, including multi-model serving and versioning. Migrate TensorFlow models to PyTorch using ONNX format for seamless cross-framework compatibility. Optimize neural network architectures using torch.compile() for improved speed and efficiency. Utilize PyTorch's Quantization API to reduce model size and speed up inference. Setup custom layers and architectures for neural networks to tackle domain-specific problems. Monitor and log model performance in real-time using TorchServe's built-in tools and configurations. Table of Content Introduction To PyTorch 2.3 and CUDA 12 Getting Started with Tensors Building Neural Networks with PyTorch Training Neural Networks Advanced Neural Network Architectures Quantization and Model Optimization Migrating TensorFlow to PyTorch Deploying PyTorch Models with TorchServe

Beginning Python Games Development, Second Edition

Author : Will McGugan
Publisher : Apress
ISBN 13 : 1484209702
Total Pages : 290 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Beginning Python Games Development, Second Edition by : Will McGugan

Download or read book Beginning Python Games Development, Second Edition written by Will McGugan and published by Apress. This book was released on 2015-07-10 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning Python Games Development, Second Edition teaches you how to create compelling games using Python and the PyGame games development library. It will teach you how to create visuals, do event handling, create 3D games, add media elements, and integrate OpenGL into your Python game. In this update to the first ever book to cover the popular open source PyGame games development library, you'll stand to gain valuable technical insights and follow along with the creation of a real-world, freely downloadable video game. Written by industry veterans and Python experts Will McGugan and Harrison Kinsley, this is a comprehensive, practical introduction to games development in Python. You can also capitalize upon numerous tips and tricks the authors have accumulated over their careers creating games for some of the world's largest game developers.