The ebooks will cover all the stages of a developer career, from the beginning to the advanced roles, the main core is focusing on improving your career when you already started. Therefore this is mainly for junior and mid-level programmers, but it has good points and useful information even for experienced developers as well.

Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you’ll discover new ways to accomplish data science tasks and expand your skill set.

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis.

Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment. The impact on data processing, transfer and storage is the need to re-evaluate the approaches and solutions to better answer the user needs. A variety of solutions for specific applications and platforms exist so a thorough and systematic analysis of existing solutions for data science, data analytics, methods and algorithms used in Big Data processing and storage environments is significant in designing and implementing a smart environment.

Explore everything you need to know to set up secure remote access, harden your firewall deployment, and protect against phishing

Build a digital workplace solution from scratch using SharePoint Online, Teams, and the Power Platform. The book will help you implement all the modern capabilities of the SharePoint Framework, Teams, and Power Platform into a SharePoint Online solution.

If you’re looking for a book where you can learn about Deep Learning and PyTorch without having to spend hours deciphering cryptic text and code, and that’s easy and enjoyable to read, this is it

The book covers from the basics of gradient descent all the way up to fine-tuning large NLP models (BERT and GPT-2) using HuggingFace. It is divided into four parts

How do you use PowerShell to navigate the filesystem, manage files and folders, or retrieve a web page? This introduction to the PowerShell language and scripting environment provides more than 400 task-oriented recipes to help you solve all kinds of problems. Intermediate to advanced system administrators will find more than 100 tried-and-tested scripts they can copy and use immediately.

Grasp advanced PowerShell 7.1 functionalities for effective automation of your environment

Key Features

• See PowerShell in action, from learning the fundamentals to creating classes, scripts, and modules
• Work with dual code for PowerShell 7 and Windows PowerShell
• Automate complex tasks, manipulate data, and secure your environment

Explore site reliability engineering practices and learn key Google Cloud Platform (GCP) services such as CSR, Cloud Build, Container Registry, GKE, and Cloud Operations to implement DevOps