Udemy - Advanced Python(2022) Details we all must pay attention to!

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Udemy - Advanced Python(2022) Details we all must pay attention to! (Size: 3.1 GB)
  1. Introduction.mp4 35.6 MB
  1. Introduction.srt 3.5 KB
  1. Logging module Detailed analysis of how to create a logger..mp4 108.1 MB
  1. Logging module Detailed analysis of how to create a logger..srt 17.6 KB
  1. Remember everything is an object and connects to the type class.mp4 36 MB
  1. Remember everything is an object and connects to the type class.srt 5.5 KB
  1. The most important command if __name __ = main() (part1).mp4 83.2 MB
  1. The most important command if __name __ = main() (part1).srt 16.9 KB
  1. Understand the power of a Metaclass and how it differs from a Superclass.mp4 95.5 MB
  1. Understand the power of a Metaclass and how it differs from a Superclass.srt 17.8 KB
  1. Why you should use a defaultdict over a regular dictionary.mp4 44.8 MB
  1. Why you should use a defaultdict over a regular dictionary.srt 8.9 KB
  1. key differences between iterators and iterables.mp4 118 MB
  1. key differences between iterators and iterables.srt 26.9 KB
  1.1 A simple description of the type class.html 102.4 B
  1.1 An example with Metaclasses for changing the number of parameters needed on instantiation.html 102.4 B
  1.1 defaultdict.ipynb 4.5 KB
  1.1 first_module.ipynb 1.2 KB
  1.1 iterators and iterables.ipynb 9.2 KB
  1.1 logger.py 1.4 KB
  1.1 slides.pptx 240.8 KB
  1.2 first_module.py 512 B
  1.2 metaclasses.ipynb 4.5 KB
  1.2 type.ipynb 4.1 KB
  1.3 More examples on Metaclasses.html 102.4 B
  1.3 second_module.ipynb 1.1 KB
  2. A deep dive into Metaclasses changing the structure of classes.mp4 228.2 MB
  2. A deep dive into Metaclasses changing the structure of classes.srt 42 KB
  2. Comfortably make time-conversions via the function timedelta.mp4 23.1 MB
  2. Comfortably make time-conversions via the function timedelta.srt 3.7 KB
  2. The Logger in action. Passing it over to filesclassesfunctions.mp4 137.2 MB
  2. The Logger in action. Passing it over to filesclassesfunctions.srt 24.6 KB
  2. The most important command if __name__==main() (part2).mp4 101.6 MB
  2. The most important command if __name__==main() (part2).srt 22.8 KB
  2. Use Inheritance correctly on Python.mp4 70 MB
  2. Use Inheritance correctly on Python.srt 13.4 KB
  2. When to actually use @classmethod and @staticmethod..mp4 166 MB
  2. When to actually use @classmethod and @staticmethod..srt 31.9 KB
  2.1 @staticmethod @classmethod.ipynb 8.3 KB
  2.1 demlog.log 1.2 KB
  2.1 inheritance.ipynb 5.7 KB
  2.1 metaclasses_part2.ipynb 8.4 KB
  2.1 module2.py 102.4 B
  2.1 timedelta.ipynb 2.6 KB
  2.2 More examples on inheritance.html 102.4 B
  2.2 logger.py 1.4 KB
  2.2 primary.py 307.2 B
  2.3 main.py 1 KB
  2.4 work.py 614.4 B
  3. Adding graphics inside logging messages, running special cases, & theory.mp4 216.4 MB
  3. Adding graphics inside logging messages, running special cases, & theory.srt 32.9 KB
  3. How Class and instance variables behave with @classmethod, @staticmethod.mp4 185.8 MB
  3. How Class and instance variables behave with @classmethod, @staticmethod.srt 31 KB
  3. Metaclass instantiation, Metaclass inheritance, Meta-instance inheritance.mp4 192.1 MB
  3. Metaclass instantiation, Metaclass inheritance, Meta-instance inheritance.srt 36.3 KB
  3. Remember a class can also be created using a string, a tuple and a dictionary.mp4 92.1 MB
  3. Remember a class can also be created using a string, a tuple and a dictionary.srt 16.8 KB
  3. Why Jupyter Notebook isn't really good for large models.mp4 52.6 MB
  3. Why Jupyter Notebook isn't really good for large models.srt 11 KB
  3.1 @staticmethod @classmethod class instance vars.ipynb 12.5 KB
  3.1 Defining a class in two ways.ipynb 6.3 KB
  3.1 Detailed logging documentation.html 102.4 B
  3.1 Metaclass inheritance and instantiation.ipynb 8.4 KB
  3.1 growth_rate.py 921.6 B
  3.10 work.py 614.4 B
  3.2 Extra logging documentation.html 102.4 B
  3.2 model.ipynb 3.8 KB
  3.3 Extra Unicode symbols.html 102.4 B
  3.3 utils.py 307.2 B
  3.4 logger.py 1.4 KB
  3.5 Logging handlers.html 102.4 B
  3.6 main.py 1.2 KB
  3.7 mylog.log 512 B
  3.8 New unicode symbols.html 102.4 B
  3.9 Unicode graphics.html 102.4 B
  4. How Python hints & annotations are used.mp4 79.6 MB
  4. How Python hints & annotations are used.srt 14 KB
  4. How classinstance variables and static methods behave in derived classes.mp4 82.8 MB
  4. How classinstance variables and static methods behave in derived classes.srt 15.3 KB
  4. Inspect and verify class relations.mp4 186 MB
  4. Inspect and verify class relations.srt 30.7 KB
  4.1 Extra resource on type hints.html 102.4 B
  4.1 Metaclass and inheritance analysis .ipynb 26.7 KB
  4.1 static and class methods in inheritance.ipynb 6.6 KB
  4.2 The package needed for annotations.html 102.4 B
  4.3 typing and optional.ipynb 2.5 KB
  5. Python annotations and custom types, step-by-step.mp4 156.1 MB
  5. Python annotations and custom types, step-by-step.srt 27 KB
  5. The most frequent use of the @property decorator.mp4 121.4 MB
  5. The most frequent use of the @property decorator.srt 30.7 KB
  5.1 @ property decorator.ipynb 11.6 KB
  5.1 logger.py 921.6 B
  5.2 main.py 5.8 KB
  5.3 work.py 2.6 KB
  6. #13c. Function annotations. Optional parameters. Union, Optional, Any, Sequence.mp4 166.4 MB
  6. #13c. Function annotations. Optional parameters. Union, Optional, Any, Sequence.srt 30.2 KB
  6. In-depth analysis of getter, setter, deleter functions via @property.mp4 170.3 MB
  6. In-depth analysis of getter, setter, deleter functions via @property.srt 41.1 KB
  6.1 @property decorator (part 2).ipynb 6.8 KB
  6.1 main.py 5 KB
  6.2 Resources on the Annotation type Any.html 102.4 B
  6.3 Resources on the annotation type Union.html 102.4 B
  7. #13d. Using Callable and Genetic Types. Calling staticmethods using custom types.mp4 116.5 MB
  7. #13d. Using Callable and Genetic Types. Calling staticmethods using custom types.srt 16.8 KB
  7.2 Resources on Callable.html 102.4 B
  7.3 Resources on TypeVar.html 102.4 B
  8. #13e. Always conduct Static Code Analysis. Which Python Checker to use.mp4 112.4 MB
  8. #13e. Always conduct Static Code Analysis. Which Python Checker to use.srt 15.9 KB
  8.1 Resources on the Static Code Analysis tool.html 102.4 B
  @plugins_snapshot.json 0 B
  Bonus Resources.txt 409.6 B
  CACHEDIR.TAG 204.8 B
  Get Bonus Downloads Here.url 204.8 B
  Project_Default.xml 2.1 KB
  __init__.data.json 140 KB
  __init__.meta.json 1.6 KB
  _ast.data.json 102.3 KB
  _ast.meta.json 1.5 KB
  _collections_abc.data.json 8.8 KB
  _collections_abc.meta.json 1.5 KB
  abc.data.json 41 KB
  abc.meta.json 1.6 KB
  array.data.json 50.9 KB
  array.meta.json 1.5 KB
  builtins.data.json 815.5 KB
  builtins.meta.json 1.6 KB
  codecs.data.json 113.1 KB
  codecs.meta.json 1.5 KB
  empty_code_for_learn.iml 307.2 B
  genericpath.data.json 15.9 KB
  genericpath.meta.json 1.5 KB
  gitignore 0 B
  io.data.json 78.5 KB
  io.meta.json 1.5 KB
  logger.cpython-39.pyc 1.1 KB
  logger.py 921.6 B
  logging.cpython-39.pyc 819.2 B
  machinery.data.json 57.7 KB
  machinery.meta.json 1.5 KB
  main.py 5 KB
  mmap.data.json 19.2 KB
  mmap.meta.json 1.5 KB
  modules.xml 307.2 B
  ntpath.data.json 11.9 KB
  ntpath.meta.json 1.5 KB
  path.data.json 4.6 KB
  path.meta.json 1.5 KB
  posix.data.json 82.7 KB
  posix.meta.json 1.5 KB
  posixpath.data.json 65.6 KB
  posixpath.meta.json 1.5 KB
  profiles_settings.xml 204.8 B
  subprocess.data.json 145.3 KB
  subprocess.meta.json 1.5 KB
  sys.data.json 66.6 KB
  sys.meta.json 1.6 KB
  types.data.json 126.7 KB
  types.meta.json 1.6 KB
  typing.data.json 407.5 KB
  typing.meta.json 1.5 KB
  typing_extensions.data.json 35.5 KB
  typing_extensions.meta.json 1.5 KB
  work.cpython-39.pyc 3.2 KB
  work.py 2.6 KB
  workspace.xml 5.3 KB
  ▲ 176 total files

Description


Advanced Python(2022) Details we all must pay attention to!
https://DevCourseWeb.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.10 GB | Duration: 8h 31m

This course is for both beginners and experts- Really important Python Development topics!

What you'll learn
Get insight into frequently overlooked Python Development details
Get a clear understanding of Python Development details that confuse even the most experienced Developers
Write the most efficient code - so that you detect errors in advance and prevent them from happening in the first place!
Impress with your deep understanding of the most confusing concepts on Python!

Requirements
As a requirement, you need to know some basic Python. But the more you know, the better.
You need to have installed a very recent version of Python (3.8 + )
We work on Jupyter Notebook and on PyCharm. You need to have installed both, as well as Anaconda Navigator

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