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filePython-Tips-Tricks-and-T-1uYIr

Python Tips Tricks and Techniques
  • MP41.Working on Ordered Collections with Lists and List Comprehension\/04.Operating on Lists of Lists with Nested List Comprehensions.mp419.74MB
  • MP41.Working List Comprehensions to Shorten for Loops.mp412.55MB
  • MP41.Working if Statements Using Conditional List Comprehensions.mp49.63MB
  • MP41.Working on Ordered Collections with Lists and List Comprehension\/01.The Course Overview.mp47.93MB
  • MP41.Working on Ordered Collections with Lists and List Comprehension\/05.Simplify Your Collapsing Nested Lists.mp49.19MB
  • MP41.Working on Ordered Collections with Lists and List Comprehension\/06.List Slicing Tricks.mp410.45MB
  • MP42.Creating Simple Key-value Stores with Python Dictionaries\/07.Never Get a KeyError Again with the defaultdict Data Structure.mp414.16MB
  • MP42.Creating Nested Dictionaries to Simplify Your Code.mp411.34MB
  • MP42.Creating Simple Key-value Stores with Python Dictionaries\/09.Mini Switch-case Statements with Dictionaries.mp49.81MB
  • MP42.Creating Two Dictionaries with Just One line of Code.mp411.76MB
  • MP42.Creating Simple Key-value Stores with Python Dictionaries\/11.Creating a Dictionary with List Comprehension in Python.mp48.58MB
  • MP43.Speed Occurrences of Items Quickly with Counter.mp413.69MB
  • MP43.Speed Up Your Code with High Perfornce Container Datatypes\/13.Creating Stacks or Queues with Deque ob<x>jects.mp49.00MB
  • MP43.Speed Up Your Code with High Perfornce Container Datatypes\/14.Grouping Related Values with Tuples and Sequences.mp49.46MB
  • MP43.Speed Up Your Code with High Perfornce Container Datatypes\/15.Gathering Unique Sets of Values with Sets and Frozensets.mp49.40MB
  • MP43.Speed Up Your Code with High Perfornce Container Datatypes\/16.Powering up Your Dictionaries with Ordered Dictionaries.mp48.40MB
  • MP44.king Your Code Easier to Debug With Functional Programming\/17.New Ways Of Calling Functions with Arguments and kwargs.mp413.99MB
  • MP44.king Your Code Easier to Debug With Functional Programming\/18.One Line Functions with Lambdas.mp410.17MB
  • MP44.king Your Code Easier to Debug With Functional Programming\/19.Segmenting Your Code with Functions within Functions.mp49.39MB
  • MP44.king Your Code Easier to Debug With Functional Programming\/20.Creating Dynamic Functions by Returning Functions.mp415.23MB
  • MP44.king Your Code Easier to Debug With Functional Programming\/21.Power Up Your Functions by Wrapping Them With Decorators.mp49.16MB
  • MP45.Organizing and Cloning ob<x>jects the Right Way.mp414.96MB
  • MP45.Organizing Your Code Better with OOP and Classes\/23.Mini-classes of Python - namedtuples.mp48.83MB
  • MP45.Organizing Your Code Better with OOP and Classes\/24.Creating art Values with Static Methods and Properties.mp411.32MB
  • MP45.Organizing Two Different ob<x>jects.mp410.14MB
  • MP45.Organizing Your Code Better with OOP and Classes\/26.Do Real OOP by Implementing Abstract ba<x>se Classes in Python.mp48.90MB
  • MP46.Creating Safer and Cleaner Applications with Pythonic Patterns\/27.Enumerating the Indices of Your Loops with No Extra Lines.mp411.44MB
  • MP46.Creating Safer and Cleaner Applications with Pythonic Patterns\/28.Underscore Useless Variables to ke Your Code Easier to Look at.mp412.71MB
  • MP46.Creating Safer and Cleaner Applications with Pythonic Patterns\/29.Uncommon “for..else” Loop to End Your Iteration.mp46.86MB
  • MP46.Creating Safer and Cleaner Applications with Pythonic Patterns\/30.Pretty Printing any Python Data Structure.mp410.51MB
  • MP46.Creating Safer and Cleaner Applications with Pythonic Patterns\/31.naging Your Dynamic Resources Carefully with Context Managers.mp49.35MB
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