Books
- Úvod do programování GISPraktický průvodce Pythonem pro open-source geoinformační nástrojeQiusheng Wu
Objevte sílu geoprostorových dat s Pythonem! Tato praktická příručka je určena začátečníkům i pokročilým uživatelům, kteří chtějí proniknout do prostorové analýzy a interaktivního mapování s využitím open-source nástrojů. Naučíte se pracovat s reálnými daty na praktických příkladech a osvojíte si dovednosti v programování Pythonu, analýze vektorových a rastrových dat, webovém mapování i cloud computingu. Ať jste student, výzkumník, GIS profesionál nebo datový vědec, tato kniha vás vybaví nástroji pro sebevědomé řešení geoinformačních výzev.
- The Hundred-Page Guide to the Core Mathematics of Machine LearningA Practical Introduction to Linear Algebra, Calculus, and Statistics with Python and NumPyPR
Demystify the mathematical foundations of machine learning with this concise, hands-on guide. Dive into the essentials of linear algebra, calculus, and statistics, specifically tailored for practical application with Python and NumPy. No more wading through dense textbooks – get the core concepts you need to build intelligent systems, fast.
"Learn Python from scratch — no experience needed. From your very first line of code to building real projects, this guide takes you step-by-step through the A to Z of Python programming."
- Probabilistic Forecasting with Conformal Prediction in PythonThe Practical Guide to Uncertainty Quantification for Data Science, Machine Learning, and ForecastingValery Manokhin
Turn uncertainty into a competitive advantage with probabilistic forecasting and Conformal Prediction.
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- Introduzione alla Programmazione GISGuida Pratica in Python agli Strumenti Geospaziali Open SourceQiusheng Wu
Sblocca la potenza dei dati geospaziali con Python! Questa guida pratica è pensata per principianti e utenti intermedi desiderosi di esplorare l’analisi spaziale e la mappatura interattiva utilizzando strumenti open source. Imparerai a lavorare con dati reali attraverso esempi pratici e a sviluppare competenze in programmazione Python, analisi vettoriale e raster, web mapping e cloud computing. Che tu sia studente, ricercatore, professionista GIS o data scientist, questo libro ti fornirà gli strumenti per affrontare con sicurezza le sfide geospaziali.
- Regular expressions in PythonGábor SzabóNo Description Available
- Python FlaskGábor SzabóNo Description Available
- Applied Conformal Prediction:Practical Uncertainty Quantification for Real-World MLPractical Uncertainty Quantification for Real-World ML Learn Conformal Prediction (CP), the state-of-the-art technique for building statistically valid, model-agnostic prediction intervalsValery Manokhin
A powerful new book on Conformal Prediction by bestselling author and machine learning expert Valery Manokhin, bridging theory and real-world machine learning. Discover how to quantify uncertainty with statistical guarantees—across deep learning, time series, forecasting, and more. Preorder now before the price goes up.
Widgets and sample applications.
Testing is one of the super-powers programmers can have. Do you already have that super-power? If not this very short book can get you a taste.
What's the difference between knowing about cybersecurity and actually doing cybersecurity? Practice with real tools on real problems. This field guide takes you from theory to practice with hands-on AWS, Linux, Python, Splunk, and SQL skills. Learn through actual incident response scenarios, not sanitized demos. Build working security solutions you can deploy tomorrow.
Elegant Design Principles distils decades of design wisdom into 95 actionable principles spanning core OO, SOLID/GRASP, package design, reliability and a forward‑looking AI‑first approach. Explore the Design Pyramid to understand how quality attributes, smells and principles interconnect; learn to manage complexity through high cohesion, low coupling and clear abstractions; and adopt modern practices like test‑driven development and semantic modularity. From novices seeking a roadmap to experts embracing AI‑assisted workflows, this book equips you to create systems that are robust, maintainable and elegant—today and in the AI‑driven future.
- Testing Python based applicationGábor Szabó
Every application goes through changes. Even if the code itself does not need change the environment might. You might need to upgrade a library or even python itself. You might need to upgrade your operation system to a new version or switch to an entire new one. How will you know that your code runs after *any* change? You write tests. Lots of tests.
