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Python 3. Build Reliable Programs from Core Syntax to Advanced Applications - Second Edition Rheinwerk Publishing, Inc, Johannes Ernesti, Peter Kaiser

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Python 3. Build Reliable Programs from Core Syntax to Advanced Applications - Second Edition Rheinwerk Publishing, Inc, Johannes Ernesti, Peter Kaiser - okladka książki

Python 3. Build Reliable Programs from Core Syntax to Advanced Applications - Second Edition Rheinwerk Publishing, Inc, Johannes Ernesti, Peter Kaiser - okladka książki

Python 3. Build Reliable Programs from Core Syntax to Advanced Applications - Second Edition Rheinwerk Publishing, Inc, Johannes Ernesti, Peter Kaiser - audiobook MP3

Python 3. Build Reliable Programs from Core Syntax to Advanced Applications - Second Edition Rheinwerk Publishing, Inc, Johannes Ernesti, Peter Kaiser - audiobook CD

Autorzy:
Rheinwerk Publishing, Inc, Johannes Ernesti, Peter Kaiser
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Starting with the language’s foundations, readers learn how Python code is organized and executed, then practice control structures, files, functions, methods, and the data model. Clear examples explain numeric, sequential, mapping, set, collection, date, time, enumeration, and flag types, helping readers choose suitable structures and write with confidence.

The focus then shifts to techniques for maintainable software. Readers work with modules, packages, object-oriented design, exceptions, generators, iterators, context managers, decorators, annotations, static type checking, and structural pattern matching. The standard library extends these skills into mathematics, logging, regular expressions, operating-system access, file systems, parallel work, data storage, networking, internet resources, email, debugging, quality assurance, and documentation.

Later sections connect Python to real development through project distribution, virtual environments, alternative interpreters, graphical interfaces, Django, scientific computing, and data science. Historical context clarifies how the language evolved and why current practices matter. By the end of this journey, readers can move from core syntax to advanced applications with a practical reference for writing, testing, organizing, and extending effective Python programs.

O autorach książki

Johannes Ernesti is a research scientist at DeepL. He is a graduate mathematician and received his doctorate in applied mathematics from the Karlsruhe Institute of Technology (KIT).
Peter Kaiser is a research scientist at DeepL. He has a degree in computer science and received a doctorate in humanoid robotics from the Karlsruhe Institute of Technology (KIT).

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