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πŸ“— Python. Π˜ΡΡ‡Π΅Ρ€ΠΏΡ‹Π²Π°ΡŽΡ‰Π΅Π΅ руководство [2023] Π‘ΠΈΠ·Π»ΠΈ Π”.

Π­Ρ‚Π° ΠΊΠ½ΠΈΠ³Π° Π΄Π΅Π»Π°Π΅Ρ‚ Π°ΠΊΡ†Π΅Π½Ρ‚ Π½Π° ΠΎΡΠ½ΠΎΠ²ΠΎΠΏΠΎΠ»Π°Π³Π°ΡŽΡ‰ΠΈΡ… возмоТностях Python (3.6 ΠΈ Π²Ρ‹ΡˆΠ΅), Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ ΠΊΠΎΠ΄Π° Π΄Π΅ΠΌΠΎΠ½ΡΡ‚Ρ€ΠΈΡ€ΡƒΡŽΡ‚ Β«ΠΌΠ΅Ρ…Π°Π½ΠΈΠΊΡƒΒ» языка ΠΈ ΡƒΡ‡Π°Ρ‚ ΡΡ‚Ρ€ΡƒΠΊΡ‚ΡƒΡ€ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹, Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΠΈΡ… Π±Ρ‹Π»ΠΎ ΠΏΡ€ΠΎΡ‰Π΅ Ρ‡ΠΈΡ‚Π°Ρ‚ΡŒ, Ρ‚Π΅ΡΡ‚ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΈ ΠΎΡ‚Π»Π°ΠΆΠΈΠ²Π°Ρ‚ΡŒ. Дэвид Π‘ΠΈΠ·Π»ΠΈ Π·Π½Π°ΠΊΠΎΠΌΠΈΡ‚ нас со своим ΡƒΠ½ΠΈΠΊΠ°Π»ΡŒΠ½Ρ‹ΠΌ взглядом Π½Π° Ρ‚ΠΎ, ΠΊΠ°ΠΊ Π½Π° самом Π΄Π΅Π»Π΅ Ρ€Π°Π±ΠΎΡ‚Π°Π΅Ρ‚ этот язык программирования. ΠŸΠ΅Ρ€Π΅Π΄ Π²Π°ΠΌΠΈ практичСскоС руководство, Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ ΠΊΠΎΠΌΠΏΠ°ΠΊΡ‚Π½ΠΎ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½Ρ‹ Ρ‚Π°ΠΊΠΈΠ΅ Ρ„ΡƒΠ½Π΄Π°ΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ Ρ‚Π΅ΠΌΡ‹ программирования, ΠΊΠ°ΠΊ абстракции Π΄Π°Π½Π½Ρ‹Ρ…, ΡƒΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠΉ Π»ΠΎΠ³ΠΈΠΊΠΎΠΉ,структура ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ, Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ, ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Ρ‹ ΠΈ ΠΌΠΎΠ΄ΡƒΠ»ΠΈ, Π»Π΅ΠΆΠ°Ρ‰ΠΈΠ΅ Π² основС ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ΠΎΠ² Python любого ΠΌΠ°ΡΡˆΡ‚Π°Π±Π°.

πŸ“™ Python Distilled [2021] David Beazley

Expert insight for modern Python (3.6+) coding from the author of Python Essential Reference. Python educator Dave Beazley’s concise handbook focuses on the essential core of the Python programming language, with code examples to illuminate how Python works and how to structure programs that can be more easily explained, tested, and debugged. Rather than trying to cover every possible feature and quirk of a 30-year-old language, this pragmatic guide provides a concise narrative related to fundamental programming topics that form the foundation for Python projects of any size including
β€’ Data abstraction
β€’ Control flow
β€’ Program structure
β€’ Functions: master functions and functional programming idioms
β€’ Objects: control objects and master the "protocols" that define their behavior
β€’ Modules: plan for project growth by understanding modules and packages
β€’ Generators
β€’ Classes: understand classes from both high-level and technical perspectives
β€’ I/O handling: proper techniques and abstractions


πŸ’‘ Physics.Math.Code // @physics_lib
πŸ‘41❀21πŸ”₯10πŸ€—2



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πŸ“— Python. Π˜ΡΡ‡Π΅Ρ€ΠΏΡ‹Π²Π°ΡŽΡ‰Π΅Π΅ руководство [2023] Π‘ΠΈΠ·Π»ΠΈ Π”.

Π­Ρ‚Π° ΠΊΠ½ΠΈΠ³Π° Π΄Π΅Π»Π°Π΅Ρ‚ Π°ΠΊΡ†Π΅Π½Ρ‚ Π½Π° ΠΎΡΠ½ΠΎΠ²ΠΎΠΏΠΎΠ»Π°Π³Π°ΡŽΡ‰ΠΈΡ… возмоТностях Python (3.6 ΠΈ Π²Ρ‹ΡˆΠ΅), Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ ΠΊΠΎΠ΄Π° Π΄Π΅ΠΌΠΎΠ½ΡΡ‚Ρ€ΠΈΡ€ΡƒΡŽΡ‚ Β«ΠΌΠ΅Ρ…Π°Π½ΠΈΠΊΡƒΒ» языка ΠΈ ΡƒΡ‡Π°Ρ‚ ΡΡ‚Ρ€ΡƒΠΊΡ‚ΡƒΡ€ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹, Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΠΈΡ… Π±Ρ‹Π»ΠΎ ΠΏΡ€ΠΎΡ‰Π΅ Ρ‡ΠΈΡ‚Π°Ρ‚ΡŒ, Ρ‚Π΅ΡΡ‚ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ ΠΈ ΠΎΡ‚Π»Π°ΠΆΠΈΠ²Π°Ρ‚ΡŒ. Дэвид Π‘ΠΈΠ·Π»ΠΈ Π·Π½Π°ΠΊΠΎΠΌΠΈΡ‚ нас со своим ΡƒΠ½ΠΈΠΊΠ°Π»ΡŒΠ½Ρ‹ΠΌ взглядом Π½Π° Ρ‚ΠΎ, ΠΊΠ°ΠΊ Π½Π° самом Π΄Π΅Π»Π΅ Ρ€Π°Π±ΠΎΡ‚Π°Π΅Ρ‚ этот язык программирования. ΠŸΠ΅Ρ€Π΅Π΄ Π²Π°ΠΌΠΈ практичСскоС руководство, Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ ΠΊΠΎΠΌΠΏΠ°ΠΊΡ‚Π½ΠΎ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½Ρ‹ Ρ‚Π°ΠΊΠΈΠ΅ Ρ„ΡƒΠ½Π΄Π°ΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ Ρ‚Π΅ΠΌΡ‹ программирования, ΠΊΠ°ΠΊ абстракции Π΄Π°Π½Π½Ρ‹Ρ…, ΡƒΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠΉ Π»ΠΎΠ³ΠΈΠΊΠΎΠΉ,структура ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ, Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ, ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Ρ‹ ΠΈ ΠΌΠΎΠ΄ΡƒΠ»ΠΈ, Π»Π΅ΠΆΠ°Ρ‰ΠΈΠ΅ Π² основС ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ΠΎΠ² Python любого ΠΌΠ°ΡΡˆΡ‚Π°Π±Π°.

πŸ“™ Python Distilled [2021] David Beazley

Expert insight for modern Python (3.6+) coding from the author of Python Essential Reference. Python educator Dave Beazley’s concise handbook focuses on the essential core of the Python programming language, with code examples to illuminate how Python works and how to structure programs that can be more easily explained, tested, and debugged. Rather than trying to cover every possible feature and quirk of a 30-year-old language, this pragmatic guide provides a concise narrative related to fundamental programming topics that form the foundation for Python projects of any size including

β€’ Data abstraction
β€’ Control flow
β€’ Program structure
β€’ Functions: master functions and functional programming idioms
β€’ Objects: control objects and master the "protocols" that define their behavior
β€’ Modules: plan for project growth by understanding modules and packages
β€’ Generators
β€’ Classes: understand classes from both high-level and technical perspectives
β€’ I/O handling: proper techniques and abstractions


πŸ’‘ Physics.Math.Code // @physics_lib

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