Python Data Structures Training Video

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A Practical Training Course That Teaches Real World Skills In this project-based Python Data Structures video tutorial series, you'll quickly have relevant skills for real-world applications. Follow along with our expert instructor in this training course to get: Concise, informative and broadcast-quality Python Data Structures training videos delivered to your desktop The ability to learn at your own pace with our intuitive, easy-to-use interface A quick grasp of even the most complex Python Data Structures subjects because they're broken into simple, easy to follow tutorial videos Practical working files further enhance the learning process and provide a degree of retention that is unmatched by any other form of Python Data Structures tutorial, online or offline... so you'll know the exact steps for your own projects. Course Fast Facts: Only 4 hours to complete this course 67 tutorial videos Expert instructors lead each course Download to any Windows PC or Mac and save for viewing off line Course is accessible 24/7 from any computer once downloaded You can study from home or at work at your own pace in your own time Course Description In this Python Data Structures training course, expert author James Powell covers the built-in data types in Python. This course is designed for beginning to intermediate Python users.

You will start by learning about data structures, including the dict type, problem statements, terms, and how to create a dict. From there, James will teach you how to interact with the set type, such as type constructing, comprehension, and indexing. Finally, this video tutorial covers list and tuple types, including the list type, how to create a list and tuple, and semantics. 

Once you have completed this computer based training course, you will have gained a solid understanding of the built-in data types in Python. Working files are included, allowing...

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  • 01. Introduction To Python Data Structures
    • Introduction And About The Author
    • 0102 How To Access Your Working Files
  • 02. Choosing The Right Data Structures
    • The Dict Type
    • Problem Statements
    • Terms
    • Dictionary
    • Map
    • Creating A Dict
    • Dict.Update
    • Dict Methods
    • 0209 Dict.Clear
    • 0210 Dict.Copy
    • 0211 Dict.Get
    • 0212 Dict.Pop And Dict.Popitem
    • 0213 Dict.Keys, Dict.Values And Dict.Items
    • 0214 Dict.Setdefault
    • 0215 Dict.__Missing__
    • 0216 Dict Comprehensions
    • 0217 Lookup Table
    • 0218 Relation And Function
    • 0219 __Getitem__ And __Call__
    • 0220 Dict-Alikes
    • 0221 Rangedict And Passthrudict
    • 0222 Collections.Defaultdict
    • 0223 Hash
    • 0224 Dict Versus Object
    • 0225 Semantics
    • 0226 Attribute Dictionary
    • 0227 Vigenere Cipher
    • 0228 Concordance
  • 03. Interacting With The Set Type
    • 0301 Problem Statement
    • 0302 The Set Type
    • 0303 Type Constructing
    • 0304 Indexing
    • 0305 Iterate And Union
    • 0306 Remove And Discard
    • 0307 Comprehension
    • 0308 Example And Valid Straights
    • 0309 Best_Hand
    • 0310 Helper Functions
    • 0311 Example Hands
    • 0312 Displaying Example Hands
    • 0313 Additional Methods
    • 0314 Prime Number Generator
  • 04. List And Tuple Types
    • 0401 Introduction To List And Tuple Type
    • 0402 Problem Statement
    • 0403 The List Type
    • 0404 The Tuple Type
    • 0405 Creating A List
    • 0406 Creating A Tuple
    • 0407 Comprehension Syntax
    • 0408 Getitem
    • 0409 Setitem
    • 0410 Setitem - Corner Case
    • 0411 Delitem
    • 0412 Iteration
    • 0413 Unpacking
    • 0414 Addition And Multiplication
    • 0415 Argument Unpacking
    • 0416 .Count And .Index
    • 0417 List Methods
    • 0418 Semantics
    • 0419 Collections.Namedtuple
    • 0420 Collections.Deque - Stacks, Queues And Deques
    • 0421 Collections.Deque - More Stacks
    • 0422 Heapq Module
  • 05. Conclusion
    • 0501 Wrap-Up

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