How is Multithreading achieved in Python?
πPython has a multi-threading package ,but commonly not considered as good practice to use it as it will result in increased code execution time.
πPython has a constructor called the Global Interpreter Lock (GIL). The GIL ensures that only one of your βthreadsβ can execute at one time.The process makes sure that a thread acquires the GIL, does a little work, then passes the GIL onto the next thread.
πThis happens at a very Quick instance of time and thatβs why to the human eye it seems like your threads are executing parallely, but in reality they are executing one by one by just taking turns using the same CPU core.
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πPython has a multi-threading package ,but commonly not considered as good practice to use it as it will result in increased code execution time.
πPython has a constructor called the Global Interpreter Lock (GIL). The GIL ensures that only one of your βthreadsβ can execute at one time.The process makes sure that a thread acquires the GIL, does a little work, then passes the GIL onto the next thread.
πThis happens at a very Quick instance of time and thatβs why to the human eye it seems like your threads are executing parallely, but in reality they are executing one by one by just taking turns using the same CPU core.
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Inverts a dictionary with non-unique hashable values.
πCreate a collections.defaultdict with list as the default value for each key.
πUse dictionary.items() in combination with a loop to map the values of the dictionary to keys using dict.append().
πUse dict() to convert the collections.defaultdict to a regular dictionary.
CODE:
ages = {
'Peter': 10,
'Isabel': 10,
'Anna': 9,
}
collect_dictionary(ages)
Output: { 10: ['Peter', 'Isabel'], 9: ['Anna'] }
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πCreate a collections.defaultdict with list as the default value for each key.
πUse dictionary.items() in combination with a loop to map the values of the dictionary to keys using dict.append().
πUse dict() to convert the collections.defaultdict to a regular dictionary.
CODE:
from collections import defaultdict
def collect_dictionary(obj):
inv_obj = defaultdict(list)
for key, value in obj.items():
inv_obj[value].append(key)
return dict(inv_obj)
Example:ages = {
'Peter': 10,
'Isabel': 10,
'Anna': 9,
}
collect_dictionary(ages)
Output: { 10: ['Peter', 'Isabel'], 9: ['Anna'] }
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Walrus operator:
The Walrus or := operator is one of the latest additions to python 3.8.
It is an assignment operator that lets you assign value to a variable within an expression like conditional statements, loops, etc.
Example
If we want to check and print the length of a list:
3
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The Walrus or := operator is one of the latest additions to python 3.8.
It is an assignment operator that lets you assign value to a variable within an expression like conditional statements, loops, etc.
Example
If we want to check and print the length of a list:
Mylist = [1,2,3]Output
if(l := len(mylist) > 2)
print(l)
3
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What Is FastAPI?
FastAPI is a modern, high-performance web framework for building APIs with Python based on standard type hints.
It has the following key features:
πFast to run: It offers very high performance, on par with NodeJS and Go, thanks to Starlette and pydantic.
πFast to code: It allows for significant increases in development speed.
πReduced number of bugs: It reduces the possibility for human-induced errors.
πIntuitive: It offers great editor support, with completion everywhere and less time debugging.
πStraightforward: Itβs designed to be uncomplicated to use and learn, so you can spend less time reading documentation.
πShort: It minimizes code duplication.
πRobust: It provides production-ready code with automatic interactive documentation.
πStandards-based: Itβs based on the open standards for APIs, OpenAPI and JSON Schema.
You can use this instead of Django and Flask
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FastAPI is a modern, high-performance web framework for building APIs with Python based on standard type hints.
It has the following key features:
πFast to run: It offers very high performance, on par with NodeJS and Go, thanks to Starlette and pydantic.
πFast to code: It allows for significant increases in development speed.
πReduced number of bugs: It reduces the possibility for human-induced errors.
πIntuitive: It offers great editor support, with completion everywhere and less time debugging.
πStraightforward: Itβs designed to be uncomplicated to use and learn, so you can spend less time reading documentation.
πShort: It minimizes code duplication.
πRobust: It provides production-ready code with automatic interactive documentation.
πStandards-based: Itβs based on the open standards for APIs, OpenAPI and JSON Schema.
You can use this instead of Django and Flask
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Difference between list and tuple in python
πΈList is mutable ( you can modify the original list) and it's values are written in sqare brackets [ ]
πΈTuple is immutable ( you can't modify it) and it's values are written in parentheses ( ) delimited by comma( , )
πΈTo convert list to tuple - we use tuple() function
list1 = [1,2,3]
print(tuple(list1)) Output : (1,2,3)
πΈ For single element list
list1 = [1]
print(tuple(list1)) Output : (1, )
βͺοΈa tuple is a tuple because of comma not because of parentheses
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πΈList is mutable ( you can modify the original list) and it's values are written in sqare brackets [ ]
πΈTuple is immutable ( you can't modify it) and it's values are written in parentheses ( ) delimited by comma( , )
πΈTo convert list to tuple - we use tuple() function
list1 = [1,2,3]
print(tuple(list1)) Output : (1,2,3)
πΈ For single element list
list1 = [1]
print(tuple(list1)) Output : (1, )
βͺοΈa tuple is a tuple because of comma not because of parentheses
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To shuffle pandas DataFrame df
df = df.sample(frac=1, random_state=123).reset_index(drop=True)
Alternatively, you can use sklearn.utils.shuffle().
#pandas
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(
in a reproducible way):df = df.sample(frac=1, random_state=123).reset_index(drop=True)
Alternatively, you can use sklearn.utils.shuffle().
#pandas
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Do you know abou .strip()
From the above example you can see that it removed all the characters mentioned in .strip('comw.') and returns the remaining string
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From the above example you can see that it removed all the characters mentioned in .strip('comw.') and returns the remaining string
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Useful PandasπΌ method you should definitely know
β head()
β info()
β fillna()
β melt()
β pivot()
β query()
β merge()
β assign()
β groupby()
β describe()
β sample()
β replace()
β rename()
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β head()
β info()
β fillna()
β melt()
β pivot()
β query()
β merge()
β assign()
β groupby()
β describe()
β sample()
β replace()
β rename()
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π‘ Python Tip: Do you know Ellipsis(...) can be used as a placeholder in Python, just like a π±π’π΄π΄ statement?
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π‘ Python Life Hack: Do you know you can copy the files from a computer to a mobile phone π± without any cable using Python π ?
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Python Class Anatomy
Almost everything a Python class definition can contain summed up in one image :)
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Almost everything a Python class definition can contain summed up in one image :)
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Python Tip:
You can use dict o
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You can use dict o
n a clas
s instance to get all instance attributes as a dictionary@Python_Codes
Python Tip:
You can use the calendar module in one line from the command line with python -m calendar
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You can use the calendar module in one line from the command line with python -m calendar
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