π ΠΠ»Π³ΠΎΡΠΈΡΠΌΡ. Π‘ ΠΏΡΠΈΠΌΠ΅ΡΠ°ΠΌΠΈ Π½Π° Python [2023] ΠΠΆΠΎΡΠ΄ΠΆ Π₯Π°ΠΉΠ½Π΅ΠΌΠ°Π½
ΠΠΎΠ³Π΄Π° Π½ΡΠΆΠ½ΠΎ, ΡΡΠΎΠ±Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ° ΡΠ°Π±ΠΎΡΠ°Π»Π° Π±ΡΡΡΡΠΎ ΠΈ Π·Π°Π½ΠΈΠΌΠ°Π»Π° ΠΏΠΎΠΌΠ΅Π½ΡΡΠ΅ ΠΏΠ°ΠΌΡΡΠΈ, ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΡΠ° Π²ΡΡΡΡΠ°ΡΡ Π·Π½Π°Π½ΠΈΠ΅ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΈ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ° ΠΈΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ. ΠΡΠ° ΠΊΠ½ΠΈΠ³Π° - ΠΊΠ°ΠΊ ΡΠ°Π· ΠΏΡΠΎ ΠΏΡΠ°ΠΊΡΠΈΠΊΡ. ΠΠ΅ Π°Π²ΡΠΎΡ, ΠΠΆΠΎΡΠ΄ΠΆ Π₯Π°ΠΉΠ½Π΅ΠΌΠ°Π½, ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅Ρ ΠΊΡΠ°ΡΠΊΠΎΠ΅, Π½ΠΎ ΡΠ΅ΡΠΊΠΎΠ΅ ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠΆΠ½ΠΎ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π² Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π΅ ΡΠ·ΡΠΊΠΎΠ² ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ. Π ΡΠΎΠΌ, ΠΊΠ°ΠΊΠΈΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΡΠ΅ΡΠ°ΡΡΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ Π·Π°Π΄Π°ΡΠΈ, ΡΡΠΎΠΈΡ Π·Π½Π°ΡΡ ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΡΠΈΠΊΠ°ΠΌ, ΠΈ ΡΠ΅ΡΡΠΈΡΠΎΠ²ΡΠΈΠΊΠ°ΠΌ, ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΎΡΠ°ΠΌ.
π Learning Algorithms: A Programmer's Guide to Writing Better Code [2021] George Heineman
When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding in multiple languages. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively. Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of essential concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, youβll get to apply what youβve learned to a novel challenge problemβsimulating the experience you might find in a technical code interview.