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VIPython data types, simple and example #coding #code #python #education
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HIDay 14 of my 30 Days of Python journey 🚀
....
Today’s concept: Type Conversion 🔄
...
In Python, we can easily convert one data type into another using built-in functions.
✔ Convert string → integer using int()
✔ Convert string → float using float()
✔ Convert number → string using str().
........
This is especially useful when working with user input, because Python usually reads input as a string.
Learning step by step, day by day.
Consistency is the real key to mastering Python 💻🔥
Follow @hire_ready_hub to learn Python in 30 days with simple explanations.
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#python #pythonlearning #pythondeveloper #codinglife #programminglife
@hire_ready_hub
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THPython Lists come with powerful built-in methods that make data handling super easy. From append() to sort(), mastering these methods helps you write cleaner and faster code. 🚀
Learn Python the practical way with The IITIAN Coder and build strong programming foundations.
#PythonProgramming #LearnPython #CodingForBeginners #DataScienceJourney #TheIITANCoder
@the_iitian_coder
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NO🚨 If you don’t understand Python data types, your code will eventually break.
Most beginners jump straight into projects…
but ignore the foundation of Python programming.
That foundation is built-in data types.
Here are some of the most important ones every developer must know:
✔ int → whole numbers
✔ float → decimal numbers
✔ str → text data
✔ bool → True / False values
✔ list → ordered mutable collection
✔ tuple → immutable collection
✔ dict → key-value data structure
Once you understand these, Python suddenly becomes much easier to debug and scale.
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🔁 Share with someone learning Python
📌 Follow @nomidlofficial for daily Python concepts
Read more info:
https://www.nomidl.com/python/what-are-the-common-built-in-data-types-in-python-2/
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@nomidlofficial
209
MIPython Data Types for Beginners | Day 3
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![#Python Str To Float Reel by @nomidlofficial - 🚨 Python trick that replaces 6-7 lines of code with ONE line.
Most beginners write loops like this:
result = []
for x in numbers:
result.append(x*](https://image.pictame.com/img/642680742_782413591606659_7929853253382634178_n.jpg?hash=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)
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NO🚨 Python trick that replaces 6–7 lines of code with ONE line.
Most beginners write loops like this:
result = []
for x in numbers:
result.append(x*2)
But experienced Python developers use List Comprehension.
✔ Cleaner
✔ Faster
✔ More readable
Example:
result = [x*2 for x in numbers]
You can also create Dictionary Comprehensions like this:
{x: x**2 for x in range(5)}
These techniques are widely used in data science, automation, and backend development.
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🔁 Share with a Python learner
📌 Follow @nomidlofficial for Python concepts
Read more info:
https://www.nomidl.com/python/what-are-dict-and-list-comprehensions-in-python/
#PythonProgramming #LearnPython #CodingTips #MachineLearning #PythonDeveloper
@nomidlofficial
245
ITData types in Python #programming #viralreels #virelpost #python #ᴠɪʀᴀʟᴘᴏsᴛ
@itsallaboutcoding
460
LEPart 10- Implicit type conversion in python
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