Learning Adobe Muse. Create beautiful websites without writing any code with this book and

Jennifer Farley

Adobe Muse is an exciting new tool from the world's foremost design software company which allows users to create beautiful and fully functioning websites without writing any code. It provides graphic designers the power to use their print design skills over the Web. This book will help web designers as well as graphic designers to master Adobe Muse quickly. It will provide step-by-step instructions that guide you through building a website with Adobe Muse.Learning Adobe Muse will teach you how to plan, design and publish websites using Adobe Muse. It starts by covering the tools and interface of the program and moves on to the concepts you'll need to understand for laying out your web pages. You'll learn how to format text using reusable styles, add images, create a clean navigation system, and add interactive elements such as panels and slideshows to your pages and all this without writing a single line of code!By the end of the book you will have created a smartlydesigned, fully-functioning website.

Arduino Wearable Projects. Design, code, and build exciting wearable projects using Arduino tools

Tony Olsson, Tony Effe A Olsson

Python Algorithmic Trading Cookbook. All the recipes you need to implement your own algorithmic trading strategies in Python

Pushpak Dagade

If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help.Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important aspects of financial markets. As you progress, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders.By the end of this book, you’ll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem.Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice.

Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

Ayodele Oluleye

In today's data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data.This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values and automating the EDA process. It is suited for data scientists, data analysts, researchers or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights.Python is an open-source general purpose programming language which is used widely for data science and data analysis given its simplicity and versatility. It offers several libraries which can be used to clean, analyze, and visualize data. In this book, we will explore popular Python libraries such as Pandas, Matplotlib, and Seaborn and provide workable code for analyzing data in Python using these libraries.By the end of this book, you will have gained comprehensive knowledge about EDA and mastered the powerful set of EDA techniques and tools required for analyzing both structured and unstructured data to derive valuable insights.

Hands-on Kubernetes on Azure. Use Azure Kubernetes Service to automate management, scaling, and deployment of containerized applications - Third Edition

Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz

Containers and Kubernetes containers facilitate cloud deployments and application development by enabling efficient versioning with improved security and portability.With updated chapters on role-based access control, pod identity, storing secrets, and network security in AKS, this third edition begins by introducing you to containers, Kubernetes, and Azure Kubernetes Service (AKS), and guides you through deploying an AKS cluster in different ways. You will then delve into the specifics of Kubernetes by deploying a sample guestbook application on AKS and installing complex Kubernetes apps using Helm. With the help of real-world examples, you'll also get to grips with scaling your applications and clusters.As you advance, you'll learn how to overcome common challenges in AKS and secure your applications with HTTPS. You will also learn how to secure your clusters and applications in a dedicated section on security. In the final section, you’ll learn about advanced integrations, which give you the ability to create Azure databases and run serverless functions on AKS as well as the ability to integrate AKS with a continuous integration and continuous delivery (CI/CD) pipeline using GitHub Actions.By the end of this Kubernetes book, you will be proficient in deploying containerized workloads on Microsoft Azure with minimal management overhead.

Getting Started with Forex Trading Using Python. Beginner’s guide to the currency market and development of trading algorithms

Alex Krishtop

Algorithm-based trading is a popular choice for Python programmers due to its apparent simplicity. However, very few traders get the results they want, partly because they aren’t able to capture the complexity of the factors that influence the market. Getting Started with Forex Trading Using Python helps you understand the market and build an application that reaps desirable results.The book is a comprehensive guide to everything that is market-related: data, orders, trading venues, and risk. From the programming side, you’ll learn the general architecture of trading applications, systemic risk management, de-facto industry standards such as FIX protocol, and practical examples of using simple Python codes. You’ll gain an understanding of how to connect to data sources and brokers, implement trading logic, and perform realistic tests. Throughout the book, you’ll be encouraged to further study the intricacies of algo trading with the help of code snippets.By the end of this book, you’ll have a deep understanding of the fx market from the perspective of a professional trader. You’ll learn to retrieve market data, clean it, filter it, compress it into various formats, apply trading logic, emulate the execution of orders, and test the trading app before trading live.

Proxmox Cookbook. Over 60 hands-on recipes to perform server virtualization and manage virtualized server solutions with Proxmox

Wasim Ahmed

Proxmox VE's intuitive interface, high availability, and unique central management system puts it on par with the world’s best virtualization platforms. Its simplicity and high quality of service is what makes it the foremost choice for most system administrators.Starting with a step-by-step installation of Proxmox nodes along with an illustrated tour of Proxmox graphical user interface where you will spend most of your time managing a cluster, this book will get you up and running with the mechanisms of Proxmox VE. Various entities such as Cluster, Storage, and Firewall are also covered in an easy to understand format. You will then explore various backup solutions and restore mechanisms, thus learning to keep your applications and servers safe. Next, you will see how to upgrade a Proxmox node with a new release and apply update patches through GUI or CLI. Monitoring resources and virtual machines is required on an enterprise level, to maintain performance and uptime; to achieve this, we learn how to monitor host machine resources and troubleshoot common issues in the setup. Finally, we will walk through some advanced configurations for VM followed by a list of commands used for Proxmox and Ceph cluster through CLI.With this focused and detailed guide you will learn to work your way around with Proxmox VE quickly and add to your skillset.

Spring Integration Essentials. Integrate the heterogeneous endpoints of enterprise applications with Spring Integration for effective communication

CHANDAN K PANDEY