Advanced Python: Exploring the Standard Library

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Advanced Python Exploring the Standard Library [TutsNode.com] - Advanced Python Exploring the Standard Library 05 - String Manipulation & Regular Expressions
  • 003 IP Address Matching (regexpr).mp4 (100.3 MB)
  • external-assets-links.txt (0.2 KB)
  • 009 String Substitution using re.sub()_en.srt (13.6 KB)
  • 003 IP Address Matching (regexpr)_en.srt (12.2 KB)
  • 002 Character Classes, Quantifiers, and Groups Part I (Python)_en.srt (11.8 KB)
  • 005 Capture and Non-Capture Groups_en.srt (11.4 KB)
  • 006 Lazy Quantifiers_en.srt (11.0 KB)
  • 008 Backreferences_en.srt (10.8 KB)
  • 001 Regex Character Classes and Quantifiers (regexpr.com)_en.srt (9.7 KB)
  • 007 Named Capture Groups_en.srt (9.4 KB)
  • 004 IP Address Matching & Word Boundaries (Python)_en.srt (7.8 KB)
  • 008 Backreferences.mp4 (92.7 MB)
  • 006 Lazy Quantifiers.mp4 (81.5 MB)
  • 009 String Substitution using re.sub().mp4 (73.6 MB)
  • 005 Capture and Non-Capture Groups.mp4 (61.1 MB)
  • 001 Regex Character Classes and Quantifiers (regexpr.com).mp4 (57.8 MB)
  • 007 Named Capture Groups.mp4 (37.7 MB)
  • 002 Character Classes, Quantifiers, and Groups Part I (Python).mp4 (36.9 MB)
  • 004 IP Address Matching & Word Boundaries (Python).mp4 (30.6 MB)
01 - Callables and Functions
  • 017 Multiple-dispatch-in-practice.pdf (683.6 KB)
  • 020 Function Caching_en.srt (20.9 KB)
  • external-assets-links.txt (0.1 KB)
  • 015 Function Overloading and Dispatch Tables.mp4 (98.2 MB)
  • 021 functools.cached_property_en.srt (18.9 KB)
  • 015 Function Overloading and Dispatch Tables_en.srt (18.3 KB)
  • 008 Closures_en.srt (17.8 KB)
  • 016 functools.singledispatch and functools.singledispatchmethod_en.srt (17.0 KB)
  • 018 Multiple Dispatch (Part II - Decorator and Argument Symmetry)_en.srt (16.3 KB)
  • 017 Multiple Dispatch (Part I - GVR's MultiMethod Class)_en.srt (16.3 KB)
  • 011 functools.partial and functools.wraps_en.srt (16.0 KB)
  • 004 Unpacking Use Cases_en.srt (15.5 KB)
  • 014 Decorating Classes and Methods_en.srt (14.7 KB)
  • 001 Callables_en.srt (14.5 KB)
  • 007 The nonlocal Keyword_en.srt (14.4 KB)
  • 013 Decorators with Parameters_en.srt (13.9 KB)
  • 005 Local Functions and Scopes_en.srt (13.8 KB)
  • 003 Extended Argument Syntax Keyword Arguments_en.srt (13.5 KB)
  • 010 functools.update_wrapper_en.srt (12.9 KB)
  • 012 Class-Based Decorators_en.srt (12.1 KB)
  • 019 Multiple Dispatch (Part III - Itertools.Product and Subclassing)_en.srt (11.6 KB)
  • 002 Extended Argument Syntax Positional Arguments_en.srt (11.2 KB)
  • 006 Local Function Use Cases and Tradeoffs_en.srt (10.5 KB)
  • 009 Basic Decorators_en.srt (10.1 KB)
  • 018 Multiple Dispatch (Part II - Decorator and Argument Symmetry).mp4 (92.9 MB)
  • 021 functools.cached_property.mp4 (90.6 MB)
  • 020 Function Caching.mp4 (90.6 MB)
  • 016 functools.singledispatch and functools.singledispatchmethod.mp4 (88.6 MB)
  • 011 functools.partial and functools.wraps.mp4 (87.6 MB)
  • 008 Closures.mp4 (83.4 MB)
  • 014 Decorating Classes and Methods.mp4 (78.7 MB)
  • 017 Multiple Dispatch (Part I - GVR's MultiMethod Class).mp4 (78.5 MB)
  • 019 Multiple Dispatch (Part III - Itertools.Product and Subclassing).mp4 (74.1 MB)
  • 010 functools.update_wrapper.mp4 (71.1 MB)
  • 013 Decorators with Parameters.mp4 (70.9 MB)
  • 003 Extended Argument Syntax Keyword Arguments.mp4 (54.3 MB)
  • 007 The nonlocal Keyword.mp4 (52.0 MB)
  • 001 Callables.mp4 (51.2 MB)
  • 012 Class-Based Decorators.mp4 (50.3 MB)
  • 004 Unpacking Use Cases.mp4 (49.6 MB)
  • 006 Local Function Use Cases and Tradeoffs.mp4 (49.4 MB)
  • 005 Local Functions and Scopes.mp4 (48.7 MB)
  • 002 Extended Argument Syntax Positional Arguments.mp4 (41.4 MB)
  • 009 Basic Decorators.mp4 (38.5 MB)
03 - Generators and Coroutines
  • 005 Multi-Level Send and Throw_en.srt (20.1 KB)
  • 006 Yield From and Coroutines_en.srt (18.3 KB)
  • 004 Yield From and Send_en.srt (19.4 KB)
  • 003 Generator Use Case II - BatchingChunking of Large Data Collections_en.srt (14.8 KB)
  • 001 Introduction to Generators_en.srt (12.2 KB)
  • 002 Generator Use Case I - Readability and Simplicity_en.srt (6.9 KB)
  • 003 Generator Use Case II - BatchingChunking of Large Data Collections.mp4 (89.2 MB)
  • 006 Yield From and Coroutines.mp4 (80.8 MB)
  • 004 Yield From and Send.mp4 (79.7 MB)
  • 005 Multi-Level Send and Throw.mp4 (74.4 MB)
  • 001 Introduction to Generators.mp4 (48.0 MB)
  • 002 Generator Use Case I - Readability and Simplicity.mp4 (32.7 MB)
06 - asyncio
  • 002 Futures, Tasks, and Scheduling on the Event Loop_en.srt (19.1 KB)
  • 001 asyncio Hello World_en.srt (10.3 KB)
  • 002 Futures, Tasks, and Scheduling on the Event Loop.mp4 (86.1 MB)
  • 001 asyncio Hello World.mp4 (34.3 MB)
02 - Introduction to Collections - Internal Structures
  • 009 Iterators and Iterables_en.srt (17.4 KB)
  • 018 Customizing Dataclass Fields_en.srt (17.0 KB)
  • 014 Intro to Sorting - Pairwise Comparators_en.srt (15.5 KB)
  • 005 __contains__ and __eq___en.srt (15.1 KB)
  • 004 collections.abc Sized and Sequence_en.srt (14.9 KB)
  • 012 Itertools.Chain & Lazy Iteration_en.srt (14.2 KB)
  • 008 Introduction to Iteration - Creating Our Own For Loop_en.srt (14.1 KB)
  • 017 Dataclasses_en.srt (13.4 KB)
  • 013 Iterating Over Nested Collections - Chain.From_Iterable and StarMap_en.srt (12.8 KB)
  • 007 Implementing Custom Slicing_en.srt (12.6 KB)
  • 006 Index Slicing_en.srt (11.6 KB)
  • 011 Iterable Example File Objects_en.srt (10.8 KB)
  • 002 __getitem__ Implementation_en.srt (10.7 KB)
  • 003 __len__ and __bool___en.srt (10.7 KB)
  • 015 IntEnums and Tuple Comparison_en.srt (10.4 KB)
  • 010 Iterators and Iterables in collections.abc_en.srt (10.0 KB)
  • 016 Total Ordering and Rich Comparison_en.srt (9.1 KB)
  • 001 Intro to Indexable Objects_en.srt (8.7 KB)
  • 004 collections.abc Sized and Sequence.mp4 (90.3 MB)
  • 007 Impleme

Description


Description

There are many wonderful courses that focus on beginning aspects of Python on Udemy and other online learning platforms. However, there’s relatively fewer courses for more experienced Python developers to continue levelling up their skills and intuition. If you’re a Python developer that is looking to develop a deeper intuition of the language, this course is for you.

Part of the learning curve is the Python standard library, which offers a rich set of tools built upon core design patterns that are found everywhere in the Python ecosystem. Understanding how the basic building blocks of Python applications are constructed will give you the intuition and vision to architect more maintainable, performant, and Pythonic code.

Since the Python ecosystem is vast, this course aims to cover only a few select topics in detail while still digging deep into Python’s standard library. You’ll learn about

functools / callables (decorators and functools utilities/helpers)

collections (Counters, ChainMaps, etc.)

descriptors and properties

regular expressions (named expressions, backreferences, capture groups, etc.)

You’ll understand how Python’s standard library was constructed, and gain a deeper intuition into advanced functionality offered by the standard library.

Prior knowledge: This course assumes a basic understanding of Python and object-oriented programming, and is not intended for beginning programmers.

Future iterations of the course will include other topics.
Who this course is for

Software developers or data scientists/analysts with a strong core familiarity with Python, object-oriented programming, and data structures.
Python students who feel like their progress has plateaued after learning the initial basics of Python.

Requirements

Familiarity and experience with Python. This course will not review basic Python syntax or concepts, such as functions, loops, if/else conditions, etc.

Last Updated 12/2021



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Advanced Python: Exploring the Standard Library

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3.8 GB
seeders:76
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Advanced Python: Exploring the Standard Library

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