Alexey Vyskubov’s Post

Tuples in Python: Immutable (cannot be changed after creation), ordered collection that allows duplicate elements. Syntax:() Two methods: Index(),count() Python 3.14.0 (tags/v3.14.0:ebf955d, Oct 7 2025, 10:15:03) [MSC v.1944 64 bit (AMD64)] on win32 Enter "help" below or click "Help" above for more information. >>> #tuples() >>> a=(4,5.7,"python",4+9j,True,False) >>> print(a) (4, 5.7, 'python', (4+9j), True, False) >>> type(a) <class 'tuple'> >>> len(a) 6 >>> a.count("python") 1 >>> a.index(True) 4 Pooja Chinthakayala Mam,Saketh Kallepu Sir,Uppugundla Sairam Sir

🐍 #python tips: (range(len(...))) If you’re looping over indexes just to access values, Python has a better, cleaner option: enumerate(). Why it’s better: ✔️ More readable ✔️ Fewer off-by-one bugs ✔️ Idiomatic Python ✔️ Small changes like this compound into more maintainable code What’s interesting is that modern code generators and AI assistants already prefer patterns like enumerate() because they encode intent, not just mechanics. The clearer your code, the better both humans and tools can reason about it. Clean code isn’t about clever tricks! It’s about making the next reader (or code generator) faster and safer. What do you think? #Python #ProgrammingTips #CleanCode #SoftwareEngineering #DeveloperExperience #CodeQuality

Did you know? Python versions >= 3.11.7, has set a limitation on the number of digits(i.e 4300) that can be convert string to integer and vice-versa. This is to prevent the Dos attack and low conversion speed, defined in `CVE-2020-10735`. If you want to convert more than that, then you will have to update the setting by using the following: ``` import sys sys.set_int_max_str_digits(452463) # or any number you want ``` #python #python_spec #language_updates #features

Text Classification With Python 3.14 and zstd Bytes (A Compression Love Story) Written by $DiligentTECH💀⚔️ Sorting words into labels feels like pairing hearts in a tidy proof, each sentence searching for its matching set. $SlimRich says love is pattern, $DiligentTECH says pattern is math, and both agree text classification can be simple. In Python 3.14.3 (February 2026), you can build a compression-based classifier with Zstandard (zstd) ideas, even if your install uses a third-party Zstandard binding instead of a documented stdlib zstd module. The goal is clear, use compressed byte sizes as a similarity signal. This post’s takeaway is that the smallest byte growth often points to the right label. https://lnkd.in/dXedSq_f ⚔️

Why .join() is faster than str1 + str2 in Python? Why string concatenation gets really slow in Python? Strings are immutable in Python. When we write str1 + str2, following steps are done - 1. Request a brand new block of memory large enough for both. 2. Copy every single character from str1 and str2 into the new block. 3. Destroy the old strings (eventually) If we do this 10,000 times in a loop, we are copying millions of characters over and over again. When we use ''.join(list_of_strings), Python is significantly smarter. It performs following 2 pass operation - 1. It iterates through the entire list once to calculate the total length of the final string. 2. it allocates one single block of memory of that exact size and copies all the strings into their respective slots at once. Instead of n reallocations and n copies, one allocation and one copy! Takeaway - -> Need to join 2 or 3 strings - a + b is fine and very readable. -> Need to join strings in a loop - Always collect them in a list first and use ''.join(my_list) at the very end. I’m deep-diving into Python internals and performance. Do follow along and tell your experiences in comments. #Python #PythonInternals #SoftwareEngineering #BackendDevelopment

🚀 Day 13 – Python Learning..... 🐍 📌 Formatting Numbers. 🔢 📌 Format Specification .⚙️ 📌 Working with Strings. 🧵 📌 Getting a Character from a String. 🔍 📌 Slicing a String .✂️ 📌 Triple Quotes for Multiline Strings. 📄 📌 "in" Keyword to Check Substring .🔎 📌 Looping Through Characters in a String. 🔁 📌 String Methods 🛠️ → isalpha(), islower(), isupper(), isdigit(), startswith(), endswith(), lower(), upper(), title(). #Python #LearningPython #CodingJourney #100DaysOfCode

#Learning hashtag #Python through Chunks. Lets start journey together (Beginner to Master). Lets code together !! #ABCC - Any Body Can CODE Chunk 2: How Python Actually Runs Code (Interpreter Explained Simply) NOTE: Python is an interpreted language, meaning it runs your code line-by-line. Python sits in the middle and converts readable code into machine-executable steps. 🧩 Python Interpreter in Real Life Terms Think of Python as: 💬 A translator who reads your instructions one line at a time 🎧 Tells the computer what to do 🛠️ Stops if something is unclear and shows you an error message Code: x = 5 print(x * 2) The interpreter does this: 1️⃣ Reads x = 5 → remembers it 2️⃣ Reads print(x * 2) → calculates → prints: Output 10 💡 Key takeaways from this chunk Python runs line-by-line (interpreted). It stops immediately if something doesn’t make sense. It shows error messages to help you fix problems.

Indentation in python:- -------------------------------------------- Indentation is the leading whitespace before starting the next python statement. indentation improves the readability and find out the block of code. Example:- name = "Python Learning" if name == "Python Learning" print (" Start Python Learning"); #python #learning #teach #dreem #beginner #fast #content #creator

Python Developers Urged to Replace ^ $ with \A \z in Regex 📌 Python developers are being urged to switch from using ^...$ to \A...\z in regex patterns to avoid unexpected matches with newline characters. This change ensures precise string matching by anchoring the regex to the true start and end of a string. \A...\z offers a more reliable approach, especially in multi-line scenarios. 🔗 Read more: https://lnkd.in/dWmdNteR #Python #Regex #Regularexpressions #Stringmatching #Codebestpractices