Learn Python Coding
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Forwarded from Machine Learning with Python
Iβm Eng. Hussein Sheikho
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ENG. Hussein Sheikho
Experience in Deep Learning and Computer Vision + Python Project
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Cheat sheet of Python string methods:
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https://t.me/pythonReπ
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lower() - converts to lowercase*
upper() - converts to uppercase*
capitalize() - capitalizes the first letter*
title() - capitalizes each word*
strip() - removes whitespace from the beginning and end*
startswith() / endswith() - checks the beginning and end of a string*
replace() - replaces a substring*
split() - splits a string into a list*
join() - joins elements into a string*
find() / index() - searches for the position of a substring*
count() - counts occurrences*
isnumeric() - checks if the string contains only numbershttps://t.me/pythonRe
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Learn Python Coding
Personal AI assistant in 5 minutes No code. No card. Free π³ Works in Telegram, WhatsApp, or Discord β just send it tasks by voice or text. It gets things done, not just tells you how to do them. β’ reads and sends emails β’ creates and edits Google Sheetsβ¦
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"Complete FAANG Preparation" has over 12,000 items and includes:
β DSA (Data Structures and Algorithms) β 450 problems from Love Babbar, Striver's sheet, and Apna College's sheet.
β Computer Science Fundamentals β Operating Systems, Databases, SQL, Computer Networks, Object-Oriented Programming.
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Why identical arguments can create different entries in `lru_cache`? π€
The
Although both calls pass the same value, for the cache, these are different keys, so the function will be executed twice.
The order of named arguments can also affect how an entry is created in the cache.
Therefore, it is best to call cached functions in a consistent style: either by position or by name, in the same order.
π₯ A consistent call format prevents unnecessary cache misses and redundant execution of expensive operations.
#Python #lru_cache #Caching #Performance #ProgrammingTips #CodeBestPractices
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The
lru_cache creates a key not only from the values of the arguments, but also from the way they are passed.load(True)
load(debug=True)
Although both calls pass the same value, for the cache, these are different keys, so the function will be executed twice.
print(load.cache_info())
# CacheInfo(hits=0, misses=2, ...)
The order of named arguments can also affect how an entry is created in the cache.
func(a=1, b=2)
func(b=2, a=1)
Therefore, it is best to call cached functions in a consistent style: either by position or by name, in the same order.
load(debug=True)
load(debug=True)
π₯ A consistent call format prevents unnecessary cache misses and redundant execution of expensive operations.
#Python #lru_cache #Caching #Performance #ProgrammingTips #CodeBestPractices
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