20 ADVANCED Python MCQ.pdf
4.4 MB
𝗣𝗿𝗲𝗶𝗺𝗶𝗮𝗹 𝗣𝘆𝘁𝗵𝗼𝗻 𝗨𝗹𝘁𝗶𝗺𝗮𝘁𝗲 𝗚𝘂𝗶𝗱𝗲! 🚀🐍✨
#PythonGuide #PythonFunctions #CodingLife #LearnPython #DevCommunity #PyTips
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𝗜𝗻𝗽𝘂𝘁/𝗢𝘂𝘁𝗽𝘂𝘁 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 📥📤
- print()
- input()
- format()
𝗗𝗮𝘁𝗮 𝗧𝘆𝗽𝗲 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 🔄
- int()
- float()
- str()
- bool()
- complex()
- list()
- tuple()
- set()
- dict()
- frozenset()
- bytes()
- bytearray()
- memoryview()
𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 🧮📐
- abs()
- pow()
- round()
- divmod()
- sum()
- min()
- max()
𝗦𝗲𝗾𝘂𝗲𝗻𝗰𝗲 & 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 📊📑
- len()
- sorted()
- range()
- zip()
- enumerate()
- reversed()
- all()
- any()
𝗧𝘆𝗽𝗲 & 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 🔍🆔
- type()
- id()
- isinstance()
- issubclass()
𝗙𝗶𝗹𝗲 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 📂📝
- open()
- close()
- read()
- write()
- seek()
- tell()
𝗦𝘁𝗿𝗶𝗻𝗴 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 🔤🔠
- ord()
- chr()
- ascii()
- repr()
𝗨𝘁𝗶𝗹𝗶𝘁𝘆 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 🛠⚙️
- help()
- dir()
- eval()
- exec()
- hash()
𝗟𝗼𝗴𝗶𝗰𝗮𝗹 & 𝗕𝗶𝗻𝗮𝗿𝘆 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 🧠🔢
- bin()
- oct()
- hex()
- bool()
𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗢𝗯𝗷𝗲𝗰𝘁 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 💾📦
- memoryview()
- object()
- callable()
#PythonGuide #PythonFunctions #CodingLife #LearnPython #DevCommunity #PyTips
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Python Basics Notes @pythonRe.pdf
2.4 MB
Python Basics Notes 🐍📚
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#Python #Coding #Programming #LearnPython #Tech #DevCommunity
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#Python #Coding #Programming #LearnPython #Tech #DevCommunity
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5 More Must-Know Python Concepts 🐍
Let's take a look at five more fundamental concepts that every Python developer should have in their toolkit. 🛠️
Read: https://www.kdnuggets.com/5-more-must-know-python-concepts 🔗
#Python #Programming #Coding #Developer #TechTips #LearnPython
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Let's take a look at five more fundamental concepts that every Python developer should have in their toolkit. 🛠️
Read: https://www.kdnuggets.com/5-more-must-know-python-concepts 🔗
#Python #Programming #Coding #Developer #TechTips #LearnPython
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Forwarded from Machine Learning with Python
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✍️ Pyneng — a large base for Python and network automation!
Detailed documentation and educational materials. The site contains lessons on Python syntax, working with files, functions, OOP, as well as separate sections on network technologies. The materials are presented with a large number of examples and practical tasks.
📌 I'll leave a link: https://pyneng.readthedocs.io/en/latest/
#Python #NetworkAutomation #Pyneng #LearnPython #DevOps #TechEducation
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Detailed documentation and educational materials. The site contains lessons on Python syntax, working with files, functions, OOP, as well as separate sections on network technologies. The materials are presented with a large number of examples and practical tasks.
📌 I'll leave a link: https://pyneng.readthedocs.io/en/latest/
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Python Lists: A Quick Reference 🐍
* Definition: Lists are ordered, mutable collections that can contain various data types and duplicates.
* Creating Lists: Creating empty, numerical, mixed, nested lists, and lists with duplicates.
* Accessing List Elements: Accessing elements using positive and negative indexing, as well as slicing with
.
* Common Operations: Adding, inserting, concatenating, deleting, clearing, searching, sorting, and reversing lists.
* List Methods:
,
,
,
,
,
,
,
,
, and
.
* List Comprehension: Quickly creating lists using expressions and conditions.
* List vs. Tuple: Differences between mutable lists and immutable tuples.
* Important Points: Specifics of indexing, slicing, data types, and working with lists.
#Python #Coding #Programming #DataStructures #PythonTips #LearnPython
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* Definition: Lists are ordered, mutable collections that can contain various data types and duplicates.
* Creating Lists: Creating empty, numerical, mixed, nested lists, and lists with duplicates.
* Accessing List Elements: Accessing elements using positive and negative indexing, as well as slicing with
start:end:step
.
* Common Operations: Adding, inserting, concatenating, deleting, clearing, searching, sorting, and reversing lists.
* List Methods:
append()
,
insert()
,
extend()
,
remove()
,
pop()
,
clear()
,
index()
,
count()
,
sort()
, and
reverse()
.
* List Comprehension: Quickly creating lists using expressions and conditions.
* List vs. Tuple: Differences between mutable lists and immutable tuples.
* Important Points: Specifics of indexing, slicing, data types, and working with lists.
#Python #Coding #Programming #DataStructures #PythonTips #LearnPython
✨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk
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