Django 5 By Example. Build powerful and reliable Python web applications from scratch - Fifth Edition

Antonio Melé, Paolo Melchiorre

If you want to learn Django by doing, this book is for you.Django 5 By Example is the fifth edition of the best-selling franchise that helps you build real-world web apps. This book will walk you through planning and creation, solving common problems, and implementing best practices using a step-by-step approach.You’ll cover a wide range of web application development topics through four different projects: a blog application, a social website, an e-commerce application, and an e-learning platform. Pick up what’s new in Django 5 as you build end-to-end Python web apps, follow detailed project plans, and understand the hows and whys of Django.This is a practical and approachable book that will have you creating web apps quickly.

Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn

Stephen Klosterman

Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools, by applying them to realistic data problems. You will learn how to use pandas and Matplotlib to critically examine datasets with summary statistics and graphs, and extract the insights you seek to derive. You will build your knowledge as you prepare data using the scikit-learn package and feed it to machine learning algorithms such as regularized logistic regression and random forest. You’ll discover how to tune algorithms to provide the most accurate predictions on new and unseen data. As you progress, you’ll gain insights into the working and output of these algorithms, building your understanding of both the predictive capabilities of the models and why they make these predictions.By then end of this book, you will have the necessary skills to confidently use machine learning algorithms to perform detailed data analysis and extract meaningful insights from unstructured data.

Windows Server 2016 Cookbook. Click here to enter text

Jordan Krause

This hands-on Cookbook is stuffed full of practical recipes that will help you handle the essential administrative tasks in Windows Server 2016. You’ll start by familiarizing yourself with the look and feel of Windows Server 2016, and will then learn how to navigate through some daily tasks using the graphical interface. You will see how to compose optimal Group Policies and facilitate task automation with PowerShell 5.0 scripting. We will also take a look at the functions available to provide remote network access to your traveling users, and explore the much anticipated Nano Server and Hyper-V built-in integration support that is brand new in Windows Server 2016.By the end of this book, you will know how to take your Windows Server 2016-powered server and turn it into any common infrastructure role that might be required in your company.

The Python Workshop. Write Python code to solve challenging real-world problems - Second Edition

Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, ...

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed.This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact.By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.

FusionCharts Beginner's Guide: The Official Guide for FusionCharts Suite. Create interactive charts in JavaScript (HTML5) and Flash for your web and enterprise applications with this book and

Sanket Nadhani, Pallav Nadhani, Shamasis Bhattacharya

User experience can make or break any app these days, no matter whether it's a commercial product or an internal solution. While most web applications out there are boring and outdated when it comes to their charting, you can make yours both stunning and powerful using FusionCharts Suite. Once you have mastered it, you can give your users a delightful reporting experience in no time at all.FusionCharts Beginner's Guide is a practical, step-by-step guide to using FusionCharts Suite for creating delightful web reports and dashboards. Getting you started quickly, you will learn advanced reporting capabilities like drill-down and JavaScript integration, and charting best practices to make the most out of it. Filled with examples, real-life tips and challenges, this book is the firstofitstype in the visualization industry.The book teaches you to create delightful reports and dashboards for your web applications assuming no previous knowledge of FusionCharts Suite. It gets your first chart up in 15 minutes after which you can play around with different chart types and customize them. You will also learn how to create a powerful reporting experience using drill-down and advanced JavaScript capabilities. You will also connect your charts to server-side scripts pulling data from databases. Finally you round up the experience learning reporting best practices including right chart type selection and practical usability tips.By the end of the book, you will have a solid foundation in FusionCharts Suite and data visualization itself. You will be able to give your users a delightful reporting experience, from developers to management alike.

Build Customized Apps with Amazon Honeycode. Quickly create interactive web and mobile apps for your teams without programming

Aniruddha Loya

Amazon Honeycode enables you to build fully managed, customizable, and scalable mobile and web applications for personal or professional use with little to no code. With this practical guide to Amazon Honeycode, you’ll be able to bring your app ideas to life, improving your and your team’s/organization’s productivity.You’ll begin by creating your very first app from the get-go and use it as a means to explore the Honeycode development environment and concepts. Next, you’ll learn how to set up and organize the data to build and bind an app on Honeycode as well as deconstruct different templates to understand the common structures and patterns that can be used. Finally, you’ll build a few apps from scratch and discover how to apply the concepts you’ve learned.By the end of this app development book, you’ll have gained the knowledge you need to be able to build and deploy your own mobile and web applications. You’ll also be able to invite and share your app with people you want to collaborate with.

Oracle Solaris 11 Advanced Administration Cookbook. Over 50 advanced recipes to help you configure and administer Oracle Solaris systems

Alexandre Borges

Before Machine Learning Volume 3 - Probability and Statistics for A.I . Master Probability, Statistics, and Their Role in AI's Future Evolution

Jorge Brasil

Delve into the importance of probability and statistics in AI, beginning with fundamental measures like mean, median, and variance. This book takes you on a journey through the basics of probability theory, introducing key concepts such as central tendency, variance, and probability distributions. It emphasizes the role of statistical measures in understanding and analyzing data.Building on these foundations, the book explores hypothesis testing, Bayesian inference, and statistical distributions in-depth. Readers will gain practical insights into essential techniques for model evaluation, maximum likelihood estimation, and the interpretation of data in the context of AI applications. Each concept is illustrated with practical examples and case studies to ensure clarity and application.Finally, advanced topics like Markov processes, hierarchical Bayesian models, and multivariate distributions are introduced. The book addresses critical areas like variance, correlation, and hypothesis testing, equipping readers with the skills to tackle real-world challenges in AI and machine learning. Whether you're a student, professional, or AI enthusiast, this book offers the essential statistical tools and knowledge to excel in the field.