
Explore SQL Server's evolution from Docker support to Big Data Clusters, covering containerization, Kubernetes deployment, and integration with Python for modernized database management and analytics.

Comprehensive introduction to Python for data science, covering basics and machine learning using real-world datasets. Ideal for beginners looking to integrate Python into Microsoft tools.

Accelerate your Python journey as a SQL expert with practical code examples, skipping frustrations, and gaining inspiration for further learning and immediate application in daily work.

Explore efficient multi-threaded programming using user-level threads, covering new kernel interfaces and primitives for cooperative threading with sub-200ns context-switch times across various languages.

Comprehensive exploration of Remote DMA topics including containers, namespaces, remote page faults, user space memory management, PCI peer-to-peer, testing improvements, and API developments for Linux kernel developers.

Explore techniques for analyzing large Ftrace datasets using Big Data tools, enabling fast and easy scripting for sophisticated problem-solving in low-level tracing.

Explore advanced Linux tracing techniques using Python with Peace Lee, enhancing system performance analysis and debugging skills for developers and administrators.

Dive into LSTM implementation using TensorFlow's Python API for natural language understanding. Learn the math and code behind this powerful RNN architecture in a hands-on session.

Practical guide to building ML applications in Python, focusing on text classification using unsupervised and supervised learning techniques with visualization and deep learning examples.

Explore an AI-powered image cropping system for online classifieds, enhancing thumbnail attractiveness and buyer engagement through deep learning and salient region identification.

Explore security risks in AI/ML adoption, focusing on secure coding practices in Python. Learn techniques to improve code hygiene and protect against vulnerabilities in ML-based solutions.

Exploring Node.js-COBOL integration as a bridge between legacy systems and modern development, addressing programmer shortages and enabling new features without complete rewrites.

Explore the latest developments in gRPC's Python bindings for simplified microservices communication, including code-free service execution and streamlined channel management.

Learn to define Kubernetes applications using programming languages instead of YAML with CDK for Kubernetes. Create reusable constructs and package them as libraries for efficient application development.

Explore serverless computing for diverse scenarios using Lithops framework. Learn to connect existing code effortlessly, enabling transparent execution of Python across cloud resources without starting from scratch.

Explore declarative APIs and tooling for simplified Kubernetes cluster management using Cluster API bindings for TypeScript, Go, and Python, with live demonstrations.

Explore how Kubernetes powers real-time fraud detection in e-commerce, ensuring reliable and scalable transaction processing with automated deployments and business logic integration.

Explore BPF libraries in Go, Rust, Python, and C to build advanced system tracing applications for Kubernetes clusters, comparing capabilities and use cases for different program types.

Explore digital signatures' true meaning, implications of key handling policies, and identity concepts in software supply chain security. Dive deep into cryptographic realities and case studies.

Learn to scale machine learning workflows from Pandas to distributed computing using Fugue, an open-source abstraction layer. Discover how to port Python code to Spark or Dask with minimal changes, enabling framework-agnostic and scale-agnostic data scie…

Explore cross-vendor GPU computing with Vulkan and Kompute. Learn to write GPU-accelerated machine learning algorithms using Python and C++, applicable to various GPUs including AMD, Qualcomm, and NVIDIA.