Python - Data Structures (2025)

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Python - Data Structures (2025) (Size: 257.8 MB)
  01. Container Types in Python.mp4 4.5 MB
  01. Container Types in Python.vtt 3.6 KB
  02. Creating Lists.mp4 3.8 MB
  02. Creating Lists.vtt 2.4 KB
  03. Accessing List Elements.mp4 5.4 MB
  03. Accessing List Elements.vtt 3.3 KB
  04. Adding New Elements to the List.mp4 5.4 MB
  04. Adding New Elements to the List.vtt 3.1 KB
  05. Removing and Updating List Elements.mp4 4.3 MB
  05. Removing and Updating List Elements.vtt 2.8 KB
  06. Iterating over List Elements.mp4 6.4 MB
  06. Iterating over List Elements.vtt 4.7 KB
  07. Counting List Elements.mp4 3.6 MB
  07. Counting List Elements.vtt 2.5 KB
  08. Sorting List Elements.mp4 4.5 MB
  08. Sorting List Elements.vtt 2.4 KB
  09. Slicing and Cloning Lists.mp4 14.3 MB
  09. Slicing and Cloning Lists.vtt 10.3 KB
  1. Creating Dictionaries.mp4 5.1 MB
  1. Creating Dictionaries.vtt 3.4 KB
  1. Creating Sets.mp4 6 MB
  1. Creating Sets.vtt 3.9 KB
  1. The collections Module.mp4 3.7 MB
  1. The collections Module.vtt 1.6 KB
  1. Tuples Are Immutable.mp4 6.7 MB
  1. Tuples Are Immutable.vtt 4.3 KB
  10. List Comprehensions and Unpacking.mp4 4.8 MB
  10. List Comprehensions and Unpacking.vtt 3.3 KB
  11. Joining List Elements and Aggregate Functions.mp4 4.7 MB
  11. Joining List Elements and Aggregate Functions.vtt 2.7 KB
  2. Accessing Dictionary Items.mp4 9.5 MB
  2. Accessing Dictionary Items.vtt 5.5 KB
  2. Basic Tuple Operations.mp4 2.4 MB
  2. Basic Tuple Operations.vtt 1.1 KB
  2. Modifying Sets.mp4 5 MB
  2. Modifying Sets.vtt 3.2 KB
  2. Using the defaultdict.mp4 6.3 MB
  2. Using the defaultdict.vtt 4.6 KB
  3. Accessing Set Elements.mp4 4.5 MB
  3. Accessing Set Elements.vtt 2.4 KB
  3. Adding and Updating Items.mp4 5 MB
  3. Adding and Updating Items.vtt 2.9 KB
  3. Counting with the Counter.mp4 11.1 MB
  3. Counting with the Counter.vtt 5.4 KB
  3. Reversing and Sorting Tuples.mp4 14.6 MB
  3. Reversing and Sorting Tuples.vtt 9.2 KB
  4. Cloning Tuples.mp4 4.9 MB
  4. Cloning Tuples.vtt 2.8 KB
  4. Removing Items.mp4 4.6 MB
  4. Removing Items.vtt 3 KB
  4. Supersets and Subsets.mp4 8.7 MB
  4. Supersets and Subsets.vtt 3.9 KB
  4. Utilizing deques.mp4 23.3 MB
  4. Utilizing deques.vtt 12.3 KB
  5. Organizing Fields with the namedtuple.mp4 13.1 MB
  5. Organizing Fields with the namedtuple.vtt 7.5 KB
  5. Set Operations.mp4 16.5 MB
  5. Set Operations.vtt 7.5 KB
  5. Sorting Dictionaries.mp4 5.5 MB
  5. Sorting Dictionaries.vtt 3.4 KB
  5. Tuple Packing and Unpacking with Functions.mp4 8.8 MB
  5. Tuple Packing and Unpacking with Functions.vtt 6.3 KB
  6. Dictionary Aggregate Functions.mp4 2.2 MB
  6. Dictionary Aggregate Functions.vtt 1.4 KB
  6. Frozen Sets.mp4 11.6 MB
  6. Frozen Sets.vtt 5.9 KB
  7. Iterating over a Dictionary.mp4 6.4 MB
  7. Iterating over a Dictionary.vtt 4.3 KB
  8. Copying Dictionaries.mp4 3.4 MB
  8. Copying Dictionaries.vtt 2.1 KB
  9. Dictionaries as Keyword Arguments.mp4 7.1 MB
  9. Dictionaries as Keyword Arguments.vtt 3.9 KB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  playlist.m3u 1.9 KB
  ▲ 75 total files

Description


Python: Data Structures (2025)

https://WebToolTip.com

Released 5/2025
By Mateo Prigl
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 56m | Size: 266 MB

Learn how to work with data effectively using Python's built-in and advanced data structures. This course will teach you essential data handling techniques using lists, dictionaries, sets, tuples, and specialized collections

Working with structured data is a core skill in programming. In this course, Python: Data Structures, you’ll learn to handle and organize data using the powerful data structures that Python provides. First, you’ll explore how to create and manipulate lists, tuples, and sets. Next, you’ll discover how dictionaries enable fast lookups and structured data storage. Finally, you’ll learn how to use specialized collections like counter, defaultdict, deque, and namedtuple to solve real-world problems efficiently. When you’re finished with this course, you’ll have the skills and knowledge of Python’s data structure ecosystem needed to build efficient and maintainable Python programs.

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