| 0 | 0 B | ||
| 1 | 31.3 KB | ||
| 001 Callables.mp4 | 51.2 MB | ||
| 001 Callables_en.srt | 14.5 KB | ||
| 001 Counter.mp4 | 25.9 MB | ||
| 001 Counter_en.srt | 8.2 KB | ||
| 001 Intro to Indexable Objects.mp4 | 33.1 MB | ||
| 001 Intro to Indexable Objects_en.srt | 8.7 KB | ||
| 001 Introduction to Generators.mp4 | 48 MB | ||
| 001 Introduction to Generators_en.srt | 12.2 KB | ||
| 001 Pythonic Attribute Access.mp4 | 19 MB | ||
| 001 Pythonic Attribute Access_en.srt | 5 KB | ||
| 001 Regex Character Classes and Quantifiers (regexpr.com).mp4 | 57.8 MB | ||
| 001 Regex Character Classes and Quantifiers (regexpr.com)_en.srt | 9.7 KB | ||
| 001 asyncio Hello World.mp4 | 34.3 MB | ||
| 001 asyncio Hello World_en.srt | 10.3 KB | ||
| 002 Character Classes, Quantifiers, and Groups Part I (Python)_en.srt | 11.8 KB | ||
| 002 Extended Argument Syntax Positional Arguments.mp4 | 41.4 MB | ||
| 2 | 139.1 KB | ||
| 002 Character Classes, Quantifiers, and Groups Part I (Python).mp4 | 36.9 MB | ||
| 002 Extended Argument Syntax Positional Arguments_en.srt | 11.2 KB | ||
| 002 Futures, Tasks, and Scheduling on the Event Loop.mp4 | 86.1 MB | ||
| 002 Futures, Tasks, and Scheduling on the Event Loop_en.srt | 19.1 KB | ||
| 002 Generator Use Case I - Readability and Simplicity.mp4 | 32.7 MB | ||
| 002 Generator Use Case I - Readability and Simplicity_en.srt | 6.9 KB | ||
| 002 Merging Dictionaries.mp4 | 23.8 MB | ||
| 002 Merging Dictionaries_en.srt | 8.5 KB | ||
| 002 Uniform Access Principle via Properties.mp4 | 40.2 MB | ||
| 002 Uniform Access Principle via Properties_en.srt | 9.5 KB | ||
| 002 __getitem__ Implementation.mp4 | 61.5 MB | ||
| 002 __getitem__ Implementation_en.srt | 10.7 KB | ||
| 003 ChainMap.mp4 | 59.1 MB | ||
| 003 ChainMap_en.srt | 14.1 KB | ||
| 003 Descriptors.mp4 | 50.4 MB | ||
| 003 Extended Argument Syntax Keyword Arguments.mp4 | 54.3 MB | ||
| 003 Extended Argument Syntax Keyword Arguments_en.srt | 13.5 KB | ||
| 003 Generator Use Case II - BatchingChunking of Large Data Collections_en.srt | 14.8 KB | ||
| 3 | 350.2 KB | ||
| 003 Descriptors_en.srt | 9 KB | ||
| 003 Generator Use Case II - BatchingChunking of Large Data Collections.mp4 | 89.2 MB | ||
| 003 IP Address Matching (regexpr).mp4 | 100.3 MB | ||
| 003 IP Address Matching (regexpr)_en.srt | 12.2 KB | ||
| 003 __len__ and __bool__.mp4 | 61.5 MB | ||
| 003 __len__ and __bool___en.srt | 10.7 KB | ||
| 004 IP Address Matching & Word Boundaries (Python).mp4 | 30.6 MB | ||
| 004 IP Address Matching & Word Boundaries (Python)_en.srt | 7.8 KB | ||
| 004 Unpacking Use Cases.mp4 | 49.6 MB | ||
| 004 Unpacking Use Cases_en.srt | 15.5 KB | ||
| 004 Yield From and Send.mp4 | 79.7 MB | ||
| 004 Yield From and Send_en.srt | 19.4 KB | ||
| 004 collections.abc Sized and Sequence.mp4 | 90.3 MB | ||
| 004 collections.abc Sized and Sequence_en.srt | 14.9 KB | ||
| 4 | 362.6 KB | ||
| 005 Capture and Non-Capture Groups.mp4 | 61.1 MB | ||
| 005 Capture and Non-Capture Groups_en.srt | 11.4 KB | ||
| 005 Local Functions and Scopes.mp4 | 48.7 MB | ||
| 005 Local Functions and Scopes_en.srt | 13.8 KB | ||
| 005 Multi-Level Send and Throw.mp4 | 74.4 MB | ||
| 005 Multi-Level Send and Throw_en.srt | 20.1 KB | ||
| 5 | 380 KB | ||
| 005 __contains__ and __eq__.mp4 | 74.5 MB | ||
| 005 __contains__ and __eq___en.srt | 15.1 KB | ||
| 006 Index Slicing.mp4 | 18.3 MB | ||
| 006 Lazy Quantifiers.mp4 | 81.5 MB | ||
| 006 Local Function Use Cases and Tradeoffs.mp4 | 49.4 MB | ||
| 006 Local Function Use Cases and Tradeoffs_en.srt | 10.5 KB | ||
| 006 Yield From and Coroutines.mp4 | 80.8 MB | ||
| 6 | 745.3 KB | ||
| 006 Index Slicing_en.srt | 11.6 KB | ||
| 006 Lazy Quantifiers_en.srt | 11 KB | ||
| 006 Yield From and Coroutines_en.srt | 18.3 KB | ||
| 007 Implementing Custom Slicing.mp4 | 82.5 MB | ||
| 007 Implementing Custom Slicing_en.srt | 12.6 KB | ||
| 007 Named Capture Groups.mp4 | 37.7 MB | ||
| 007 Named Capture Groups_en.srt | 9.4 KB | ||
| 7 | 791.1 KB | ||
| 007 The nonlocal Keyword.mp4 | 52 MB | ||
| 007 The nonlocal Keyword_en.srt | 14.4 KB | ||
| 008 Backreferences.mp4 | 92.7 MB | ||
| 008 Backreferences_en.srt | 10.8 KB | ||
| 008 Closures.mp4 | 83.4 MB | ||
| 008 Introduction to Iteration - Creating Our Own For Loop.mp4 | 40.2 MB | ||
| 8 | 384.9 KB | ||
| 008 Closures_en.srt | 17.8 KB | ||
| 008 Introduction to Iteration - Creating Our Own For Loop_en.srt | 14.1 KB | ||
| 009 Basic Decorators.mp4 | 38.5 MB | ||
| 009 Basic Decorators_en.srt | 10.1 KB | ||
| 009 Iterators and Iterables.mp4 | 72.2 MB | ||
| 009 Iterators and Iterables_en.srt | 17.4 KB | ||
| 009 String Substitution using re.sub().mp4 | 73.6 MB | ||
| 009 String Substitution using re.sub()_en.srt | 13.6 KB | ||
| 9 | 435.6 KB | ||
| 010 Iterators and Iterables in collections.abc.mp4 | 53.3 MB | ||
| 010 Iterators and Iterables in collections.abc_en.srt | 10 KB | ||
| 010 functools.update_wrapper.mp4 | 71.1 MB | ||
| 010 functools.update_wrapper_en.srt | 12.9 KB | ||
| 10 | 924.6 KB | ||
| 11 | 637.5 KB | ||
| 011 Iterable Example File Objects.mp4 | 48.1 MB | ||
| 011 Iterable Example File Objects_en.srt | 10.8 KB | ||
| 011 functools.partial and functools.wraps.mp4 | 87.6 MB | ||
| 011 functools.partial and functools.wraps_en.srt | 16 KB | ||
| 012 Class-Based Decorators.mp4 | 50.3 MB | ||
| 012 Itertools.Chain & Lazy Iteration.mp4 | 67.5 MB | ||
| 012 Itertools.Chain & Lazy Iteration_en.srt | 14.2 KB | ||
| 12 | 463.9 KB | ||
| 012 Class-Based Decorators_en.srt | 12.1 KB | ||
| 013 Decorators with Parameters.mp4 | 70.9 MB | ||
| 013 Decorators with Parameters_en.srt | 13.9 KB | ||
| 013 Iterating Over Nested Collections - Chain.From_Iterable and StarMap.mp4 | 47.2 MB | ||
| 013 Iterating Over Nested Collections - Chain.From_Iterable and StarMap_en.srt | 12.8 KB | ||
| 13 | 469 KB | ||
| 14 | 243.3 KB | ||
| 014 Decorating Classes and Methods.mp4 | 78.7 MB | ||
| 014 Decorating Classes and Methods_en.srt | 14.7 KB | ||
| 014 Intro to Sorting - Pairwise Comparators.mp4 | 60.2 MB | ||
| 014 Intro to Sorting - Pairwise Comparators_en.srt | 15.5 KB | ||
| 015 Function Overloading and Dispatch Tables.mp4 | 98.2 MB | ||
| 015 Function Overloading and Dispatch Tables_en.srt | 18.3 KB | ||
| 015 IntEnums and Tuple Comparison.mp4 | 56.6 MB | ||
| 15 | 313.1 KB | ||
| 015 IntEnums and Tuple Comparison_en.srt | 10.4 KB | ||
| 016 Total Ordering and Rich Comparison.mp4 | 57.3 MB | ||
| 16 | 313.3 KB | ||
| 016 Total Ordering and Rich Comparison_en.srt | 9.1 KB | ||
| 016 functools.singledispatch and functools.singledispatchmethod.mp4 | 88.6 MB | ||
| 016 functools.singledispatch and functools.singledispatchmethod_en.srt | 17 KB | ||
| 017 Dataclasses.mp4 | 60.3 MB | ||
| 017 Dataclasses_en.srt | 13.4 KB | ||
| 017 Multiple Dispatch (Part I - GVR's MultiMethod Class).mp4 | 78.5 MB | ||
| 017 Multiple Dispatch (Part I - GVR's MultiMethod Class)_en.srt | 16.3 KB | ||
| 017 Multiple-dispatch-in-practice.pdf | 683.6 KB | ||
| 018 Customizing Dataclass Fields.mp4 | 74.2 MB | ||
| 018 Customizing Dataclass Fields_en.srt | 17 KB | ||
| 018 Multiple Dispatch (Part II - Decorator and Argument Symmetry).mp4 | 92.9 MB | ||
| 018 Multiple Dispatch (Part II - Decorator and Argument Symmetry)_en.srt | 16.3 KB | ||
| 019 Multiple Dispatch (Part III - Itertools.Product and Subclassing).mp4 | 74.1 MB | ||
| 019 Multiple Dispatch (Part III - Itertools.Product and Subclassing)_en.srt | 11.6 KB | ||
| 020 Function Caching.mp4 | 90.6 MB | ||
| 020 Function Caching_en.srt | 20.9 KB | ||
| 021 functools.cached_property.mp4 | 90.6 MB | ||
| 021 functools.cached_property_en.srt | 18.9 KB | ||
| TutsNode.com.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
| external-assets-links.txt | 204.8 B | ||
| 17 | 507 KB | ||
| 18 | 513.3 KB | ||
| 19 | 615.6 KB | ||
| 20 | 843.6 KB | ||
| 21 | 910.4 KB | ||
| 22 | 426.4 KB | ||
| 23 | 858.2 KB | ||
| 24 | 880.3 KB | ||
| 25 | 53.8 KB | ||
| 26 | 559.4 KB | ||
| 27 | 540.3 KB | ||
| 28 | 552.5 KB | ||
| 29 | 939.9 KB | ||
| 30 | 717.5 KB | ||
| 31 | 860.9 KB | ||
| 32 | 927.4 KB | ||
| 33 | 204.3 KB | ||
| 34 | 746.6 KB | ||
| 35 | 427 KB | ||
| 36 | 740.1 KB | ||
| 37 | 736.8 KB | ||
| 39 | 858.3 KB | ||
| 40 | 647.4 KB | ||
| 41 | 685.9 KB | ||
| 42 | 404.9 KB | ||
| 43 | 653.1 KB | ||
| 44 | 334.3 KB | ||
| 45 | 901.2 KB | ||
| 46 | 9.9 KB | ||
| 47 | 861.1 KB | ||
| 48 | 587.2 KB | ||
| 49 | 785.5 KB | ||
| 50 | 854.6 KB | ||
| 51 | 549.4 KB | ||
| 52 | 284 KB | ||
| 53 | 86 KB | ||
| 54 | 760.5 KB | ||
| 55 | 947 KB | ||
| 56 | 279.4 KB | ||
| 57 | 385.6 KB | ||
| 58 | 62.5 KB | ||
| 59 | 184.1 KB | ||
| 60 | 999.7 KB | ||
| ▲ 191 total files | |||
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
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
|
Udemy - Mastering AI Agents - Advanced Automation with Python and n8n Posted by
freecoursewb in Other
|
1.7 GB | freecoursewb | 1 month | 8 | 1 |
| 3.9 GB | freecoursewb | 2 months | 27 | 5 | |
| 3.8 GB | freecoursewb | 8 months | 3 | 0 | |
| 3.9 GB | freecoursewb | 10 months | 4 | 6 | |
|
Python for Engineers and Scientists / basic to advanced [8/2024, ENG] Posted by
LearnJavaScript Beggom in Other
|
12.63 GB | LearnJavaScript Beggom | 1 year | 5 | 0 |
All Comments