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#Python-Advance


01-Python intermediate

Python Datetime module

📅 Oct 2, 2021

Python DateTime module

The datetime classes are categorize into 6 main classes –

  • date
    • Its attributes are year, month and day
  • time
    • Its attributes are hour, minute, second, microsecond and tzinfo
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02-Python Advance

Python collection module

📅 Oct 3, 2021

Python collection module

  • There are 4 basic collection data types
    • List, Tuples, Sets, Dictionary
  • Specialised collection data types
    • Counter, OrderedDict, UserDict, UserList, UserString
    • defaultdict, deque, namedtuple(), Chainmap
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06-Python Advance

First Class functions, Nested function, Closure function

📅 Oct 7, 2021

First Class functions in Python

  • In Python when functions treated like any other variable then they are term as First-class functions
  • Properties of first class functions:
    • Assign to a variable.
    • Pass the function as a parameter to another function.
    • Return a function from another function.
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02-Python intermediate

Timezone, Naive and Aware datetime

📅 Oct 8, 2021

Handling timezone in Python

UTC, or Coordinated Universal Time, is the primary time standard by which the world regulates date and time.

  • astimezone() –> it helps to convert the time of a particular time zone into another time zone
  • localtime() –> it helps to get the current local time
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07-Python Advance

Python Decorators

📅 Oct 8, 2021

Python Decorators

  • It’s a very powerful and useful tool in Python
  • It allows to add functionality to an existing function or class.
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07-Python Advance

Multi-threading in Python

📅 Oct 8, 2021
# Topic covered
Concurrency & Parallelism
Multithreading & Multiprocessing
Global Interpreter Lock (GIL)
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07-Python Advance

Multi-threading in Python

📅 Oct 8, 2021

7. Multi-threading

Multithreading allows you to break down an application into multiple sub-tasks and run these tasks simultaneously.

If you use multithreading properly, your application speed, performance, and rendering can all be improved.

Multithreading is defined as the ability of a processor to execute multiple threads concurrently.

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08-Python Advance

Multi Processing

📅 Oct 9, 2021

Multi Processing

Multiprocessing refers to the ability of a system to support more than one processor at the same time.

Applications in a multiprocessing system are broken to smaller routines that run independently. The operating system allocates these threads to the processors improving performance of the system.

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