https://sudonull.com/python-for-literary-analysis-alice-selezneva-s-space-routes
Learn how Python and regular expressions are used for analyzing the corpus of Kir Bulychev's texts about Alice Selezneva, identifying mentioned and visited planets. Detailed case for IT specialists.
https://sudonull.com/python-analysis-of-cloud-motifs-in-paustovsky
Analysis of Paustovsky's text corpora: cloud metaphors, intermediality with painting, tonality. Python code with pymorphy3 and sentiment. For NLP specialists — study the methodology.
Learn how to choose a database for your system with this evidence-based framework. Compare SQL, NoSQL, graph, and time-series databases to make the right decision.
MongoDB vs PostgreSQL when to use each: compare ACID compliance, scalability, schema flexibility, and query power. Choose the right database for your project.
Learn how to implement JWT authentication securely in your web API. This complete guide covers token issuance, validation, best practices, and production security.
Read our data-driven GPT-4 vs Claude comparison covering accuracy, coding, hallucinations, and cost. Discover which AI model fits your needs in 2026.
Learn what is infrastructure as code and why use it. Discover key benefits, essential tools, and best practices to automate and secure your cloud infrastructure.
Learn how does kubernetes manage container scaling and load balancing with HPA, cluster autoscaler, and service mesh. Master production-grade autoscaling and traffic distribution.
Google introduced Gemini Ultra 2.0 with a context of up to 10 million tokens, surpassing GPT-5. Learn about the breakthrough architecture, price of $0.0005, and impact on the AI market. Read the full analysis.
Master prompt engineering best practices with 15 proven techniques. Learn to craft effective prompts, reduce errors, and get better AI results. Start optimizing now.
Learn how to monitor Kubernetes with Grafana and Prometheus using the kube-prometheus-stack. Step-by-step guide to deploy, connect, and visualize cluster metrics.
Compare fine tuning vs retrieval augmented generation for LLMs. Learn which approach suits your AI project based on accuracy, cost, and data freshness.