Gitforgits apr 2023 (10 résultats)

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Day Trading with ChatGPT' is an experimentation guide that explores how the powerful AI language model ChatGPT can be utilized for day trading signals in the stock market. This pioneering book aims to give readers a hands-on experience and a comprehensive understanding of how to experiment with ChatGPT for better decision-making before considering it a trading tool.The author takes a critical approach, emphasizing the strengths and limitations of using ChatGPT in trading. As you journey through the pages, you'll discover the AI's impressive abilities to analyze historical data, address financial prompts, and offer decision-making input while acknowledging the potential pitfalls of relying solely on AI-driven analysis.The book's objective is not to advocate for ChatGPT as the ultimate trading solution but to objectively examine its potential and limitations in the financial world. The author subtly highlights their skepticism, encouraging readers to approach the technology with a discerning eye and always to corroborate AI-generated insights with their research and expertise.Key LearningsDiscover how ChatGPT can analyze historical data for trading insights.Learn to leverage ChatGPT's ability to address financial prompts.Enhance decision-making with AI-driven input in day trading.Understand the importance of combining AI with human expertise.Explore the benefits and limitations of AI in financial analysis.Master the use of technical indicators with ChatGPT's guidance.Develop a critical approach to AI-generated trading insights.Improve your trading strategies by incorporating AI tools.Gain a comprehensive understanding of ChatGPT's capabilities.Learn to navigate the financial world with AI-assisted decision-making.Table of ContentPower of AI in Stock Market PredictionsCollecting and Analyzing Historical Stock DataMoving Averages (SMA and EMA) with ChatGPTRelative Strength Index (RSI) with ChatGPTBollinger Bands with ChatGPTFibonacci Retracement with ChatGPTMoving Average Convergence Divergence (MACD) with ChatGPTStochastic Oscillator with ChatGPTPutting It All Together - Is It Worth Using ChatGPT 64 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mastering Data Wrangling and Analysis for Modern Data Science'Learning Pandas 2.0' is an essential guide for anyone looking to harness the power of Python's premier data manipulation library. With this comprehensive resource, you will not only master core Pandas 2.0 concepts but also learn how to employ its advanced features to perform efficient data manipulation and analysis.Throughout the book, you will acquire a deep understanding of Pandas 2.0's data structures, indexing, and selection techniques. Gain expertise in loading, storing, and cleaning data from various file formats and sources, ensuring data integrity and consistency. As you progress, you will delve into advanced data transformation, merging, and aggregation methods to extract meaningful insights and generate insightful reports.'Learning Pandas 2.0' also covers specialized data processing needs like time series data, DateTime operations, and geospatial analysis. Furthermore, this book demonstrates how to integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics. This will empower you to build powerful data-driven models to solve complex problems and enhance your decision-making capabilities.What sets 'Learning Pandas 2.0' apart from other books is its focus on numerous practical examples, allowing you to apply your newly acquired skills to tricky scenarios. By the end of this book, you will have the confidence and knowledge needed to perform efficient and robust data analysis using Pandas 2.0, setting you on the path to becoming a data analysis powerhouse.Key LearningsMaster core Pandas 2.0 concepts, including data structures, indexing, and selection for efficient data manipulation.Load, store, and clean data from various file formats and sources, ensuring data integrity and consistency.Perform advanced data transformation, merging, and aggregation techniques for insightful analysis and reporting.Harness time series data, DateTime operations, and geospatial analysis for specialized data processing needs.Visualize data effectively using Seaborn, Plotly, and advanced geospatial visualization tools.Integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics.Table of ContentIntroduction to Pandas 2.0Data Read, Storage, and File FormatsIndexing and Selecting DataData Manipulation and TransformationTime Series and DateTime OperationsPerformance Optimization and ScalingMachine Learning with Pandas 2.0Text Data and Natural Language ProcessingGeospatial Data AnalysisAudienceWhether you're a seasoned data professional or just starting your journey in data science, 'Learning Pandas 2.0' is the perfect resource to help you harness the power of this cutting-edge library. This book is an absolute resource for implementing Pandas 2.0 in every possible data manipulation and analysis project. 176 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Build, test, debug, document and publish APIs faster throughout the entire lifecycle'Mastering Postman' is the ultimate guide for anyone looking to streamline their API development process. Whether you're a seasoned developer or just starting, this book will take you through every step of the API lifecycle and equip you with the knowledge and tools to create better APIs faster.Starting with API design, the book covers the best practices for creating intuitive, easy-to-use, and scalable APIs. Before deploying, you'll learn how to use Postman to test your APIs thoroughly and ensure they're working as intended. The book then delves into API documentation and mocking, showing you how to create comprehensive documentation that's easy to understand and use. You'll also learn how to use Postman to mock your APIs, allowing you to test your code in a safe environment before deploying it to production. Focusing on Python, Flask, and JavaScript coding, 'Mastering Postman' teaches you how to build powerful, efficient, and easy-to-use APIs. You'll also learn about implementing API governance, integration, publishing, and the Postman CLI in detail.Throughout the book, you'll find practical examples, real-world scenarios, and tips and tricks to help you become more productive and efficient as you work on your APIs. Whether you're a developer, a product manager, or a technical writer, 'Mastering Postman' will give you the skills and knowledge you need to create APIs that are robust, reliable, and easy to use. With this book as your guide, you'll be able to streamline your API development process and deliver better APIs faster than ever before.Key LearningsStreamline API development process with Postman for faster delivery.Learn API design, testing, documentation, and mocking with real-world examples.Build APIs using Python, Flask, and JavaScript for better performance.Master API governance, integration, and publishing with Postman.Leverage Postman CLI for advanced API testing and automation.Collaborate efficiently using Postman collections, environments, and workspaces.Table of ContentAPI LifeCycle and PostmanAPI DesignAPI DevelopmentAPI TestingAPI SecurityUsing Postman CLIAPI Documentation & PublishingAPI IntegrationAPI PerformanceAPI GovernanceAdvanced API Developer SkillsAudienceMastering Postman is ideal for developers and software engineers who want to build end-to-end APIs efficiently and effectively. It is suitable for both beginners new to API development and experienced developers who want to master their API development, testing, debugging and integration skills.Before reading this book, you should understand web development, HTTP protocol, and API concepts. 196 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Hands-On Multi-Cloud Kubernetes' is an essential guide for anyone looking to understand Kubernetes and how it can be used to manage multi-cloud infrastructure. With eight comprehensive chapters, this book provides hands-on experience in setting up Kubernetes clusters, administering deployments and updates, and working with AWS and GCP tools.Readers will learn to work with various powerful tools, including Helm, FluxCD, Virtual Kubelet, Submariner, and KubeFed. With GitOps principles and workflows, they will practice continuous delivery and learn to manage secrets and config maps. They will build and deploy serverless clusters using Virtual Kubelet and learn to scale them across multiple cloud environments. They will even be introduced to cross-cluster networking with Submariner, where they will learn to perform service discovery, load balancing, and monitor networking metrics. Managing multi-cluster Kubernetes can be a daunting task, but with KubeFed, readers will gain the skills necessary to set up and deploy multicluster federations, making it easier than ever to administer their own infrastructure. And with multi-cloud CI/CD pipelines using Jenkins, they will perform end-to-end multi-cloud operations, ensuring their code is delivered quickly and efficiently.Finally, the book covers security in Kubernetes, giving readers the tools and knowledge to configure RBAC, Kubernetes network policies, and secure data over Kubernetes clusters. They will even learn to use Open Policy Agent to manage compliance, ensuring that their infrastructure is powerful and secure.Key LearningsLearn Multi-cloud Kubernetes from fundamentals to advanced concepts and toolsSetting up and managing Kubernetes clusters on multi-cloud infrastructureWorking with powerful tools like Helm, FluxCD, and Virtual KubeletUtilize Submariner for cross-cluster networking, service discovery, and load balancingCI/CD pipelines with Jenkins for end-to-end multi-cloud operationsPractice GitOps principles and workflows for continuous deliveryBuilding and deploying serverless clusters using Virtual KubeletManaging multiple Kubernetes clusters as a single entity with KubeFedSecurity in Kubernetes with RBAC, network policies, and Open Policy Agent Table of ContentIntroduction to Multi-cloud KubernetesKubernetes Cluster Management and DeploymentUsing FluxCDVirtual Kubelet and Serverless ClustersNetworking with SubmarinerMultiCluster Management and FederationMulti-cloud CI/CD PipelinesSecurity in Multi-cloud Kubernetes AudienceThis book is ideal for cloud professionals, the DevOps team, Kubernetes developers, and networking professionals to explore multi-cloud networking, working with multi clusters, deploying Kubernetes, and getting skilled with various innovative Kubernetes tools. Knowing cloud networking or Kubernetes is sufficient to begin with the book. 172 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Are you an experienced statistician or data professional looking for a powerful, efficient, and versatile programming language to turbocharge your data analysis and machine learning projects Look no further! 'Statistics with Rust' is your comprehensive resource to unlock Rust's true potential in modern statistical methods.¿¿This book is tailored specifically for statisticians and data professionals who are already familiar with the fundamentals of statistics and want to leverage the speed and reliability of Rust in their projects. Over 11 in-depth chapters, you will discover how Rust outperforms Python in various aspects of data analysis and machine learning and learn to implement popular statistical methods using Rust's unique features and libraries.'Statistics with Rust' begins by introducing you to Rust's programming environment and essential libraries for data professionals. You'll then dive into data handling, preprocessing, and visualization techniques that form the backbone of any statistical analysis. As you progress through the book, you'll explore descriptive and inferential statistics, probability distributions, regression analysis, time series analysis, Bayesian statistics, multivariate statistical methods, and nonlinear models. Additionally, the book covers essential machine-learning techniques, model evaluation and validation, natural language processing, and advanced techniques in emerging topics.To ensure you get the most out of this book, each chapter includes hands-on examples and exercises to reinforce your understanding of the concepts presented. You'll also learn to optimize your Rust code and select the best tools and libraries for each task, maximizing your productivity and efficiency.Key LearningsDiscover Rust's unique advantages for statistical analysis and machine learning projects.Learn to efficiently handle, preprocess, and visualize data using Rust libraries.Implement descriptive and inferential statistics with Rust for powerful data insights.Master probability distributions and random variables in Rust for robust simulations.Perform advanced regression analysis with Rust's capabilities.Explore Bayesian statistics and Markov Chain Monte Carlo methods in Rust.Uncover multivariate techniques, including PCA and Factor Analysis, using Rust libraries.Implement cutting-edge machine learning algorithms and model evaluation techniques in Rust.Delve into text analysis, natural language processing, and network analysis with Rust. 196 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Day Trading with ChatGPT' is an experimentation guide that explores how the powerful AI language model ChatGPT can be utilized for day trading signals in the stock market. This pioneering book aims to give readers a hands-on experience and a comprehensive understanding of how to experiment with ChatGPT for better decision-making before considering it a trading tool.The author takes a critical approach, emphasizing the strengths and limitations of using ChatGPT in trading. As you journey through the pages, you'll discover the AI's impressive abilities to analyze historical data, address financial prompts, and offer decision-making input while acknowledging the potential pitfalls of relying solely on AI-driven analysis.The book's objective is not to advocate for ChatGPT as the ultimate trading solution but to objectively examine its potential and limitations in the financial world. The author subtly highlights their skepticism, encouraging readers to approach the technology with a discerning eye and always to corroborate AI-generated insights with their research and expertise.Key LearningsDiscover how ChatGPT can analyze historical data for trading insights.Learn to leverage ChatGPT's ability to address financial prompts.Enhance decision-making with AI-driven input in day trading.Understand the importance of combining AI with human expertise.Explore the benefits and limitations of AI in financial analysis.Master the use of technical indicators with ChatGPT's guidance.Develop a critical approach to AI-generated trading insights.Improve your trading strategies by incorporating AI tools.Gain a comprehensive understanding of ChatGPT's capabilities.Learn to navigate the financial world with AI-assisted decision-making.Table of ContentPower of AI in Stock Market PredictionsCollecting and Analyzing Historical Stock DataMoving Averages (SMA and EMA) with ChatGPTRelative Strength Index (RSI) with ChatGPTBollinger Bands with ChatGPTFibonacci Retracement with ChatGPTMoving Average Convergence Divergence (MACD) with ChatGPTStochastic Oscillator with ChatGPTPutting It All Together - Is It Worth Using ChatGPT Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 64 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Mastering Data Wrangling and Analysis for Modern Data Science'Learning Pandas 2.0' is an essential guide for anyone looking to harness the power of Python's premier data manipulation library. With this comprehensive resource, you will not only master core Pandas 2.0 concepts but also learn how to employ its advanced features to perform efficient data manipulation and analysis.Throughout the book, you will acquire a deep understanding of Pandas 2.0's data structures, indexing, and selection techniques. Gain expertise in loading, storing, and cleaning data from various file formats and sources, ensuring data integrity and consistency. As you progress, you will delve into advanced data transformation, merging, and aggregation methods to extract meaningful insights and generate insightful reports.'Learning Pandas 2.0' also covers specialized data processing needs like time series data, DateTime operations, and geospatial analysis. Furthermore, this book demonstrates how to integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics. This will empower you to build powerful data-driven models to solve complex problems and enhance your decision-making capabilities.What sets 'Learning Pandas 2.0' apart from other books is its focus on numerous practical examples, allowing you to apply your newly acquired skills to tricky scenarios. By the end of this book, you will have the confidence and knowledge needed to perform efficient and robust data analysis using Pandas 2.0, setting you on the path to becoming a data analysis powerhouse.Key LearningsMaster core Pandas 2.0 concepts, including data structures, indexing, and selection for efficient data manipulation.Load, store, and clean data from various file formats and sources, ensuring data integrity and consistency.Perform advanced data transformation, merging, and aggregation techniques for insightful analysis and reporting.Harness time series data, DateTime operations, and geospatial analysis for specialized data processing needs.Visualize data effectively using Seaborn, Plotly, and advanced geospatial visualization tools.Integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics.Table of ContentIntroduction to Pandas 2.0Data Read, Storage, and File FormatsIndexing and Selecting DataData Manipulation and TransformationTime Series and DateTime OperationsPerformance Optimization and ScalingMachine Learning with Pandas 2.0Text Data and Natural Language ProcessingGeospatial Data AnalysisAudienceWhether you're a seasoned data professional or just starting your journey in data science, 'Learning Pandas 2.0' is the perfect resource to help you harness the power of this cutting-edge library. This book is an absolute resource for implementing Pandas 2.0 in every possible data manipulation and analysis project.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 176 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Build, test, debug, document and publish APIs faster throughout the entire lifecycle'Mastering Postman' is the ultimate guide for anyone looking to streamline their API development process. Whether you're a seasoned developer or just starting, this book will take you through every step of the API lifecycle and equip you with the knowledge and tools to create better APIs faster.Starting with API design, the book covers the best practices for creating intuitive, easy-to-use, and scalable APIs. Before deploying, you'll learn how to use Postman to test your APIs thoroughly and ensure they're working as intended. The book then delves into API documentation and mocking, showing you how to create comprehensive documentation that's easy to understand and use. You'll also learn how to use Postman to mock your APIs, allowing you to test your code in a safe environment before deploying it to production. Focusing on Python, Flask, and JavaScript coding, 'Mastering Postman' teaches you how to build powerful, efficient, and easy-to-use APIs. You'll also learn about implementing API governance, integration, publishing, and the Postman CLI in detail.Throughout the book, you'll find practical examples, real-world scenarios, and tips and tricks to help you become more productive and efficient as you work on your APIs. Whether you're a developer, a product manager, or a technical writer, 'Mastering Postman' will give you the skills and knowledge you need to create APIs that are robust, reliable, and easy to use. With this book as your guide, you'll be able to streamline your API development process and deliver better APIs faster than ever before.Key LearningsStreamline API development process with Postman for faster delivery.Learn API design, testing, documentation, and mocking with real-world examples.Build APIs using Python, Flask, and JavaScript for better performance.Master API governance, integration, and publishing with Postman.Leverage Postman CLI for advanced API testing and automation.Collaborate efficiently using Postman collections, environments, and workspaces.Table of ContentAPI LifeCycle and PostmanAPI DesignAPI DevelopmentAPI TestingAPI SecurityUsing Postman CLIAPI Documentation & PublishingAPI IntegrationAPI PerformanceAPI GovernanceAdvanced API Developer SkillsAudienceMastering Postman is ideal for developers and software engineers who want to build end-to-end APIs efficiently and effectively. It is suitable for both beginners new to API development and experienced developers who want to master their API development, testing, debugging and integration skills.Before reading this book, you should understand web development, HTTP protocol, and API concepts.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 196 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Hands-On Multi-Cloud Kubernetes' is an essential guide for anyone looking to understand Kubernetes and how it can be used to manage multi-cloud infrastructure. With eight comprehensive chapters, this book provides hands-on experience in setting up Kubernetes clusters, administering deployments and updates, and working with AWS and GCP tools.Readers will learn to work with various powerful tools, including Helm, FluxCD, Virtual Kubelet, Submariner, and KubeFed. With GitOps principles and workflows, they will practice continuous delivery and learn to manage secrets and config maps. They will build and deploy serverless clusters using Virtual Kubelet and learn to scale them across multiple cloud environments. They will even be introduced to cross-cluster networking with Submariner, where they will learn to perform service discovery, load balancing, and monitor networking metrics. Managing multi-cluster Kubernetes can be a daunting task, but with KubeFed, readers will gain the skills necessary to set up and deploy multicluster federations, making it easier than ever to administer their own infrastructure. And with multi-cloud CI/CD pipelines using Jenkins, they will perform end-to-end multi-cloud operations, ensuring their code is delivered quickly and efficiently.Finally, the book covers security in Kubernetes, giving readers the tools and knowledge to configure RBAC, Kubernetes network policies, and secure data over Kubernetes clusters. They will even learn to use Open Policy Agent to manage compliance, ensuring that their infrastructure is powerful and secure.Key LearningsLearn Multi-cloud Kubernetes from fundamentals to advanced concepts and toolsSetting up and managing Kubernetes clusters on multi-cloud infrastructureWorking with powerful tools like Helm, FluxCD, and Virtual KubeletUtilize Submariner for cross-cluster networking, service discovery, and load balancingCI/CD pipelines with Jenkins for end-to-end multi-cloud operationsPractice GitOps principles and workflows for continuous deliveryBuilding and deploying serverless clusters using Virtual KubeletManaging multiple Kubernetes clusters as a single entity with KubeFedSecurity in Kubernetes with RBAC, network policies, and Open Policy Agent Table of ContentIntroduction to Multi-cloud KubernetesKubernetes Cluster Management and DeploymentUsing FluxCDVirtual Kubelet and Serverless ClustersNetworking with SubmarinerMultiCluster Management and FederationMulti-cloud CI/CD PipelinesSecurity in Multi-cloud Kubernetes AudienceThis book is ideal for cloud professionals, the DevOps team, Kubernetes developers, and networking professionals to explore multi-cloud networking, working with multi clusters, deploying Kubernetes, and getting skilled with various innovative Kubernetes tools. Knowing cloud networking or Kubernetes is sufficient to begin with the book.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 172 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Are you an experienced statistician or data professional looking for a powerful, efficient, and versatile programming language to turbocharge your data analysis and machine learning projects Look no further! 'Statistics with Rust' is your comprehensive resource to unlock Rust's true potential in modern statistical methods.¿¿This book is tailored specifically for statisticians and data professionals who are already familiar with the fundamentals of statistics and want to leverage the speed and reliability of Rust in their projects. Over 11 in-depth chapters, you will discover how Rust outperforms Python in various aspects of data analysis and machine learning and learn to implement popular statistical methods using Rust's unique features and libraries.'Statistics with Rust' begins by introducing you to Rust's programming environment and essential libraries for data professionals. You'll then dive into data handling, preprocessing, and visualization techniques that form the backbone of any statistical analysis. As you progress through the book, you'll explore descriptive and inferential statistics, probability distributions, regression analysis, time series analysis, Bayesian statistics, multivariate statistical methods, and nonlinear models. Additionally, the book covers essential machine-learning techniques, model evaluation and validation, natural language processing, and advanced techniques in emerging topics.To ensure you get the most out of this book, each chapter includes hands-on examples and exercises to reinforce your understanding of the concepts presented. You'll also learn to optimize your Rust code and select the best tools and libraries for each task, maximizing your productivity and efficiency.Key LearningsDiscover Rust's unique advantages for statistical analysis and machine learning projects.Learn to efficiently handle, preprocess, and visualize data using Rust libraries.Implement descriptive and inferential statistics with Rust for powerful data insights.Master probability distributions and random variables in Rust for robust simulations.Perform advanced regression analysis with Rust's capabilities.Explore Bayesian statistics and Markov Chain Monte Carlo methods in Rust.Uncover multivariate techniques, including PCA and Factor Analysis, using Rust libraries.Implement cutting-edge machine learning algorithms and model evaluation techniques in Rust.Delve into text analysis, natural language processing, and network analysis with Rust.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 196 pp. Englisch. …