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InfiniteSkills Designing Data Structures in Python

InfiniteSkills Designing Data Structures in Python crack

When should you use Python's built-in data types, and when should you develop your own? In this video course, George Heineman introduces Python programmers to several important data structures and demonstrates their use with example algorithms. Generic data structures such as arrays, linked lists, and stacks can solve many problems, but to work through some specialized problems, you need to learn different ways to structure data appropriately.

Many Python programmers learned their skills through non-traditional routes, rather than through an undergraduate computer science degree. This video helps complete your education in fundamental data types step-by-step. For many of the data structures, you'll write sample code using a variety of existing modules, and define a process that will help you evaluate and assess these modules for use in your own software. All you need to get started is a working knowledge of Python's built-in data types.

Topics include:

- Built-in Python data structures

- Python standard library types

- Design principles for data structures

- Data structures and associated algorithm examples

- Graph representations

- Heaps, circular buffers, balanced binary trees, and their variants

George T. Heineman is an associate professor of computer science at Worcester Polytechnic Institute in Massachusetts. His research interests are in software engineering. He is the author of Algorithms in a Nutshell and Working with Algorithms in Python, both for O?Reilly Media.

این دوره طراحی ساختمان داده ها در Python را آموزش می دهد. در این آموزش تصویری نحوه کار با پایتون ، آرایه ها ، لیست های پیوندی، پشته ، صف و درخت ها، کار با ساختمان داده ها ، طراحی ساختمان داده ، کار با درختان دودویی و کار با برنامه های کاربردی در وب را می آموزید.
این دوره آموزشی محصول موسسه InfiniteSkills است.

سرفصل های دوره:

  • معرفی اصول Python
  • کار با انواع داده ها
  • کار با روشهای تجزیه و تحلیل داده ها
  • کار با انواع داده پایتون
  • اصول طراحی برای ساختمان داده
  • نحوه پیاده سازی پشته
  • کار با توابع
  • کار با اشاره گرها
  • نحوه ساخت لیست های پیوندی
  • کار با صف ها
  • ایجاد چرخه در لیست پیوندی
  • نحوه ساخت درخت
  • کار با ساختارهای بازگشتی
  • کار با درخت های دودویی
  • نحوه حذف درخت
  • نحوه جستجو در درخت های دودویی
  • نحوه پیمایش درخت ها
  • ساختارهای مبتنی بر heap
  • کار با درخت Heap
  • کار با نمودار ها
  • نحوه ساخت نمودار ها با ماتریس مجاورت
  • کار با اطلاعات مکانی در ساختارها
  • نحوه استفاده از درخت KD
  • و…

عنوان دوره: InfiniteSkills Designing Data Structures in Python
مدت زمان: 6 ساعت
نویسنده: George T. Heineman

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