PowerShell SysAdmin Crash Course: Unlock the Full Potential of PowerShell with Advanced Techniques, Automation, Configuration Management and Integration

Computers & Technology

Lee, Steeve

Networking & Cloud Computing

GitforGits

If you're a PostgreSQL database administrator looking for a comprehensive guide to managing your databases, look no further than the PostgreSQL 15 Cookbook. With 100 ready solutions to common database management challenges, this book provides a complete guide to administering and troubleshooting your databases using latest PostgreSQL 15.\nStarting with cloud provisioning and migration, the book covers all aspects of database administration, including replication, transaction logs, partitioning, sharding, auditing, realtime monitoring, backup, recovery, and error debugging. Each solution is presented in a clear, easy-to-follow format, using a real database called 'adventureworks' to provide an on-job practicing experience.\nThroughout the book, you'll learn how to use tools like pglogical, pgloader, WAL, repmgr, Patroni, HAProxy, PgBouncer, pgBackRest, pgAudit and Prometheus, gaining valuable experience and expertise in managing your databases. With its focus on practical solutions and real-world scenarios, the PostgreSQL 15 Cookbook is an essential resource for any PostgreSQL database administrator. Whether you're just starting out or you're a seasoned pro, this book has everything you need to keep your databases running smoothly and efficiently. 
Key Learnings Streamline your PostgreSQL databases with cloud provisioning and migration techniques Optimize performance and scalability through effective replication, partitioning, and sharding Safeguard your databases with robust auditing, backup, and recovery strategies Monitor your databases in real-time with powerful tools like pgAudit, Prometheus, and Patroni Troubleshoot errors and debug your databases with expert techniques and best practices Boost your productivity and efficiency with advanced tools like pglogical, pgloader, and HAProxy.\nWith the PostgreSQL 15 Cookbook as your guide, you'll gain valuable insights and expertise in managing your PostgreSQL databases, while learning practical solutions to common database management challenges. Whether you're a novice or an experienced PostgreSQL administrator, this book has everything you need to take your database management skills to the next level and become a PostgreSQL expert. 
Table of Content Getting PostgreSQL 15 Ready Performing Basic PostgreSQL Operations PostgreSQL Cloud Provisioning Database Migration to Cloud and PostgreSQL WAL, AutoVacuum & ArchiveLog Partitioning and Sharding Strategies Solving Replication, Scalability & High Availability Blob, JSON Query, CAST Operator & Connections Authentication, Audit & Encryption Implementing Database Backup Strategies Exploring Database Recovey & Restoration Methods Prometheus & Continuous Monitoring Debugging PostgreSQL 
Audience This book is ideal for database administrators, developers, and IT professionals who are responsible for managing and troubleshooting PostgreSQL databases. It is also suitable for beginners looking to learn more about PostgreSQL administration and best practices.\n[Do not forget to check out 'Look Inside' on thumbnail for accessing the topics and subtopics covered in this book]

PostgreSQL 15 Cookbook: 100+ expert solutions across scalability, performance optimization, essential commands, cloud provisioning, backup, and recovery

G, Peter

Programming

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 Learnings Master 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 Content Introduction to Pandas 2.0 Data Read, Storage, and File Formats Indexing and Selecting Data Data Manipulation and Transformation Time Series and DateTime Operations Performance Optimization and Scaling Machine Learning with Pandas 2.0 Text Data and Natural Language Processing Geospatial Data Analysis Audience 
Whether 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.

Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

Rosch, Matthew

Software

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.\nStarting 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.\nThroughout 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 Learnings Streamline 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 Content API LifeCycle and Postman API Design API Development API Testing API Security Using Postman CLI API Documentation & Publishing API Integration API Performance API Governance Advanced API Developer Skills 
Audience 
Mastering 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.

Mastering Postman: A Comprehensive Guide to Building End-to-End APIs with Testing, Integration and Automation

JAMES, Oliver

Web Development & Design

Hands-On Multi-Cloud Kubernetes: Multi-cluster kubernetes deployment and scaling with FluxCD, Virtual Kubelet, Submariner and KubeFed

Brian, Joe

Computer Science

Day Trading with ChatGPT: Test the Power of AI for Stock Market Predictions

Business & Money

Adler, Saskia

Investing

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 Learnings Discover 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. Table of Content Introduction to Rust for Statisticians Data Handling and Preprocessing Descriptive Statistics in Rust Probability Distributions and Random Variables Inferential Statistics Regression Analysis Bayesian Statistics Multivariate Statistical Methods Nonlinear Models and Machine Learning Model Evaluation and Validation Text and Natural Language Processing Audience 
"Statistics with Rust" is your indispensable guide to harnessing the power of Rust for modern statistical analysis and machine learning. Whether you are a seasoned data professional or a Rust enthusiast looking to expand your knowledge, this book provides the tools and insights to elevate your projects.

Statistics with Rust: 50+ Statistical Techniques Put into Action

Nakamura, Keiko

C++ Networking 101: Unlocking Sockets, Protocols, VPNs, and Asynchronous I/O with 75+ sample programs

Sutherland, Anais

Python Networking 101: Navigating essentials of networking, socket programming, AsyncIO, network testing, simulations and Ansible

Windsor, Odette

WebAssembly Essentials: Make code reusable and deployed for high performance web apps

Callahan, Emrys

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