#30dayspythonchallenge search results

After 3 days of learning python code in can easily make my first project code name generator : #30dayspythonchallenge #Python#PythonProgramming#LearnPython#Coding#Programming#DataScience#MachineLearning#WebDevelopment#PythonCommunity#CodeNewbie#TechEducation#DeveloperLife#Coding

ithinkabhay's tweet image. After 3 days of learning python code in can easily make my first project 
code name generator :
#30dayspythonchallenge
#Python#PythonProgramming#LearnPython#Coding#Programming#DataScience#MachineLearning#WebDevelopment#PythonCommunity#CodeNewbie#TechEducation#DeveloperLife#Coding

#Day26 of #30DaysPythonChallenge 🐍 of @indiandataclub 🔹 Built a CRUD Book App with FastAPI ✅ POST, GET, PUT, DELETE using Swagger UI 💡 Used Pydantic to model and validate data I’m starting to love FastAPI x Pydantic combo! #FastAPI #Python #APIs #IndianDataClub

DARSHIL_Analyst's tweet image. #Day26 of #30DaysPythonChallenge 🐍 of @indiandataclub 
🔹 Built a CRUD Book App with FastAPI
✅ POST, GET, PUT, DELETE using Swagger UI
💡 Used Pydantic to model and validate data
I’m starting to love FastAPI x Pydantic combo!
#FastAPI #Python #APIs #IndianDataClub

#Day27 of #30DaysPythonChallenge 🐍 🔸 Used SQLAlchemy with FastAPI + Pydantic 🔸 Created persistent DB tables 🔸 Replaced static data in my Library App with a real DB From temp → durable APIs 💾 #Python #FastAPI #SQLAlchemy #IndianDataClub #LearningInPublic

DARSHIL_Analyst's tweet image. #Day27 of #30DaysPythonChallenge 🐍
🔸 Used SQLAlchemy with FastAPI + Pydantic
🔸 Created persistent DB tables
🔸 Replaced static data in my Library App with a real DB
From temp → durable APIs 💾
#Python #FastAPI #SQLAlchemy #IndianDataClub #LearningInPublic

#Day23 of #30DaysPythonChallenge 🐍 🖥️ Built a GUI Temp Converter App using Kivy! ✅ Explored layouts & KV language ✅ Used class + try-except + context manager ✅ print() for quick debugging 😉 Kivy feels like giving logic a face. #Python #Kivy #GUI #IndianDataClub

DARSHIL_Analyst's tweet image. #Day23 of #30DaysPythonChallenge 🐍
🖥️ Built a GUI Temp Converter App using Kivy!
✅ Explored layouts & KV language
✅ Used class + try-except + context manager
✅ print() for quick debugging 😉
Kivy feels like giving logic a face.
#Python #Kivy #GUI #IndianDataClub

#Day15 of #30DaysPythonChallenge 🐍 of @indiandataclub Explored decorators today — used them to track function execution time without repeating boilerplate ⏱

DARSHIL_Analyst's tweet image. #Day15 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Explored decorators today — used them to track function execution time without repeating boilerplate ⏱
DARSHIL_Analyst's tweet image. #Day15 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Explored decorators today — used them to track function execution time without repeating boilerplate ⏱

🧵 Day 19 – Multithreading, Multiprocessing & Challenge #Day19 of #30DaysPythonChallenge 🧵 💡 Learned: Multithreading = shared memory, great for I/O tasks Multiprocessing = separate memory, great for CPU-heavy tasks 🔧 Used cpu_count() to avoid performance h

DARSHIL_Analyst's tweet image. 🧵 Day 19 – Multithreading, Multiprocessing & Challenge
#Day19 of #30DaysPythonChallenge 🧵
💡 Learned:
Multithreading = shared memory, great for I/O tasks
Multiprocessing = separate memory, great for CPU-heavy tasks
🔧 Used cpu_count() to avoid performance h
DARSHIL_Analyst's tweet image. 🧵 Day 19 – Multithreading, Multiprocessing & Challenge
#Day19 of #30DaysPythonChallenge 🧵
💡 Learned:
Multithreading = shared memory, great for I/O tasks
Multiprocessing = separate memory, great for CPU-heavy tasks
🔧 Used cpu_count() to avoid performance h

🐦 Day 18 – Metaclass #Day18 of #30DaysPythonChallenge 🐍 Today I dipped into metaclasses — classes that define how other classes behave 🤯 ✔️ Learned that classes are objects too ✔️ Metaclasses control class creation Still wrapping my head around it, but it’s powerful stuff!

DARSHIL_Analyst's tweet image. 🐦 Day 18 – Metaclass
#Day18 of #30DaysPythonChallenge 🐍
Today I dipped into metaclasses — classes that define how other classes behave 🤯
✔️ Learned that classes are objects too
✔️ Metaclasses control class creation
Still wrapping my head around it, but it’s powerful stuff!
DARSHIL_Analyst's tweet image. 🐦 Day 18 – Metaclass
#Day18 of #30DaysPythonChallenge 🐍
Today I dipped into metaclasses — classes that define how other classes behave 🤯
✔️ Learned that classes are objects too
✔️ Metaclasses control class creation
Still wrapping my head around it, but it’s powerful stuff!

#Day10 of #30DaysPythonChallenge 🐍 Focused on Exception Handling today — using try-except blocks to handle errors without stopping execution. 🎯 Challenge: Take user input + handle invalid entries Also revised: user input, dicts, file ops, FileNotFoundError, ValueError

DARSHIL_Analyst's tweet image. #Day10 of #30DaysPythonChallenge 🐍
Focused on Exception Handling today — using try-except blocks to handle errors without stopping execution.
🎯 Challenge: Take user input + handle invalid entries
Also revised: user input, dicts, file ops, FileNotFoundError, ValueError
DARSHIL_Analyst's tweet image. #Day10 of #30DaysPythonChallenge 🐍
Focused on Exception Handling today — using try-except blocks to handle errors without stopping execution.
🎯 Challenge: Take user input + handle invalid entries
Also revised: user input, dicts, file ops, FileNotFoundError, ValueError
DARSHIL_Analyst's tweet image. #Day10 of #30DaysPythonChallenge 🐍
Focused on Exception Handling today — using try-except blocks to handle errors without stopping execution.
🎯 Challenge: Take user input + handle invalid entries
Also revised: user input, dicts, file ops, FileNotFoundError, ValueError

Day 22/30 of python challenge by @indiandataclub! 📃Topics Covered: 🔸Argparse 🔸CLI structure 🎯Challenge: Build a temperature converter CLI tool #30dayspythonchallenge #IDC30DaysChallenge #LakkiData #LearningSteps

lakkilohitha's tweet image. Day 22/30 of python challenge by @indiandataclub! 
📃Topics Covered: 
🔸Argparse 
🔸CLI structure
🎯Challenge: Build a temperature converter CLI tool
#30dayspythonchallenge #IDC30DaysChallenge #LakkiData #LearningSteps
lakkilohitha's tweet image. Day 22/30 of python challenge by @indiandataclub! 
📃Topics Covered: 
🔸Argparse 
🔸CLI structure
🎯Challenge: Build a temperature converter CLI tool
#30dayspythonchallenge #IDC30DaysChallenge #LakkiData #LearningSteps

#Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub Today I learned about Object-Oriented Programming — 🔸 Class = blueprint 🔸 Object = instance 🔸 Methods work via objects 🔸 Learned __str__() dunder method 🎯 Challenge: Create a Car class with attributes + display method

DARSHIL_Analyst's tweet image. #Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Today I learned about Object-Oriented Programming —
🔸 Class = blueprint
🔸 Object = instance
🔸 Methods work via objects
🔸 Learned __str__() dunder method
🎯 Challenge: Create a Car class with attributes + display method
DARSHIL_Analyst's tweet image. #Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Today I learned about Object-Oriented Programming —
🔸 Class = blueprint
🔸 Object = instance
🔸 Methods work via objects
🔸 Learned __str__() dunder method
🎯 Challenge: Create a Car class with attributes + display method
DARSHIL_Analyst's tweet image. #Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Today I learned about Object-Oriented Programming —
🔸 Class = blueprint
🔸 Object = instance
🔸 Methods work via objects
🔸 Learned __str__() dunder method
🎯 Challenge: Create a Car class with attributes + display method
DARSHIL_Analyst's tweet image. #Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Today I learned about Object-Oriented Programming —
🔸 Class = blueprint
🔸 Object = instance
🔸 Methods work via objects
🔸 Learned __str__() dunder method
🎯 Challenge: Create a Car class with attributes + display method

#Day13 of #30DaysPythonChallenge @indiandataclub Learned to implement: 🔁 Queue (FIFO) – best with deque 📈 Used in stock updates, seat allocation, support queues ⬆️ Stack (LIFO) – also best with deque 🧠 Used in undo/redo, browser history, call stack Efficiency > just working

DARSHIL_Analyst's tweet image. #Day13 of #30DaysPythonChallenge @indiandataclub 
Learned to implement:
🔁 Queue (FIFO) – best with deque
📈 Used in stock updates, seat allocation, support queues
⬆️ Stack (LIFO) – also best with deque
🧠 Used in undo/redo, browser history, call stack
Efficiency > just working
DARSHIL_Analyst's tweet image. #Day13 of #30DaysPythonChallenge @indiandataclub 
Learned to implement:
🔁 Queue (FIFO) – best with deque
📈 Used in stock updates, seat allocation, support queues
⬆️ Stack (LIFO) – also best with deque
🧠 Used in undo/redo, browser history, call stack
Efficiency > just working
DARSHIL_Analyst's tweet image. #Day13 of #30DaysPythonChallenge @indiandataclub 
Learned to implement:
🔁 Queue (FIFO) – best with deque
📈 Used in stock updates, seat allocation, support queues
⬆️ Stack (LIFO) – also best with deque
🧠 Used in undo/redo, browser history, call stack
Efficiency > just working
DARSHIL_Analyst's tweet image. #Day13 of #30DaysPythonChallenge @indiandataclub 
Learned to implement:
🔁 Queue (FIFO) – best with deque
📈 Used in stock updates, seat allocation, support queues
⬆️ Stack (LIFO) – also best with deque
🧠 Used in undo/redo, browser history, call stack
Efficiency > just working

🧵 Day 16 & 17 – Iterators, Generators & Context Managers 🔁 iter() & next() power loops 🧵 yield enables memory-safe looping 📦 Built a custom open() using __enter__ & __exit__ 💡 print() saved the day while debugging! #Python #30DaysPythonChallenge @indiandataclub

DARSHIL_Analyst's tweet image. 🧵 Day 16 & 17 – Iterators, Generators & Context Managers 
🔁 iter() & next() power loops
🧵 yield enables memory-safe looping
📦 Built a custom open() using __enter__ & __exit__
💡 print() saved the day while debugging!
#Python #30DaysPythonChallenge 
@indiandataclub
DARSHIL_Analyst's tweet image. 🧵 Day 16 & 17 – Iterators, Generators & Context Managers 
🔁 iter() & next() power loops
🧵 yield enables memory-safe looping
📦 Built a custom open() using __enter__ & __exit__
💡 print() saved the day while debugging!
#Python #30DaysPythonChallenge 
@indiandataclub

#Day20 of #30DaysPythonChallenge 🐍 📡 Learned to set up an HTTP server using Python 🔹 Used BaseHTTPRequestHandler from http.server 🔹 Handled GET & POST requests 🔹 Ran the server from CLI Small script, big understanding! #Python #HTTP #IndianDataClub #LearningInPublic

DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic
DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic
DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic
DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic

#Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 💻 Learned to build a CLI with argparse 🔹 Positional & keyword arguments 🔹 Created a temp converter CLI tool ✅ Reused try/except & my FileHandler More CLI power, more understanding! #Python #CLI #IndianDataClub

DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub
DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub
DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub
DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub

#Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub Learned about inheritance — when a class reuses another class’s features. Like Car, Bike, and Truck inheriting from a general Vehicle class. No repetition. Just reuse + extend. 💡 "Build on what already works." #Python #OOP

DARSHIL_Analyst's tweet image. #Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Learned about inheritance — when a class reuses another class’s features.

Like Car, Bike, and Truck inheriting from a general Vehicle class.
No repetition. Just reuse + extend. 💡
"Build on what already works."
#Python #OOP
DARSHIL_Analyst's tweet image. #Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Learned about inheritance — when a class reuses another class’s features.

Like Car, Bike, and Truck inheriting from a general Vehicle class.
No repetition. Just reuse + extend. 💡
"Build on what already works."
#Python #OOP
DARSHIL_Analyst's tweet image. #Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Learned about inheritance — when a class reuses another class’s features.

Like Car, Bike, and Truck inheriting from a general Vehicle class.
No repetition. Just reuse + extend. 💡
"Build on what already works."
#Python #OOP
DARSHIL_Analyst's tweet image. #Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Learned about inheritance — when a class reuses another class’s features.

Like Car, Bike, and Truck inheriting from a general Vehicle class.
No repetition. Just reuse + extend. 💡
"Build on what already works."
#Python #OOP

#Day14 of #30DaysPythonChallenge 🐍 Learned about Recursion — a function calling itself to break down problems! ✔️ Used in factorials, Fibonacci, tree traversal ✔️ OS may use recursive logic, but recursion ≠ threads 🎯 Challenge: Find factorial using recursion #Python #Day14

DARSHIL_Analyst's tweet image. #Day14 of #30DaysPythonChallenge 🐍
Learned about Recursion — a function calling itself to break down problems!
✔️ Used in factorials, Fibonacci, tree traversal
✔️ OS may use recursive logic, but recursion ≠ threads
🎯 Challenge: Find factorial using recursion
#Python #Day14
DARSHIL_Analyst's tweet image. #Day14 of #30DaysPythonChallenge 🐍
Learned about Recursion — a function calling itself to break down problems!
✔️ Used in factorials, Fibonacci, tree traversal
✔️ OS may use recursive logic, but recursion ≠ threads
🎯 Challenge: Find factorial using recursion
#Python #Day14

#Day11 of #30DaysPythonChallenge 🐍 of Today I explored the datetime module crucial in #DataScience for analyzing time-based trends. ✔️ Learned about attributes vs methods ✔️ Used strftime() for formatting ✔️ Calculated date differences Challenge: Days between 2 dates

DARSHIL_Analyst's tweet image. #Day11 of #30DaysPythonChallenge 🐍 of 
Today I explored the datetime module crucial in #DataScience for analyzing time-based trends.
✔️ Learned about attributes vs methods
✔️ Used strftime() for formatting
✔️ Calculated date differences
Challenge: Days between 2 dates
DARSHIL_Analyst's tweet image. #Day11 of #30DaysPythonChallenge 🐍 of 
Today I explored the datetime module crucial in #DataScience for analyzing time-based trends.
✔️ Learned about attributes vs methods
✔️ Used strftime() for formatting
✔️ Calculated date differences
Challenge: Days between 2 dates
DARSHIL_Analyst's tweet image. #Day11 of #30DaysPythonChallenge 🐍 of 
Today I explored the datetime module crucial in #DataScience for analyzing time-based trends.
✔️ Learned about attributes vs methods
✔️ Used strftime() for formatting
✔️ Calculated date differences
Challenge: Days between 2 dates

#Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 🔍 Learned web scraping w/ requests & BeautifulSoup 📰 Pulled NYT tech headlines 💾 Stored output using custom context manager from Day 17 🔥 Feels powerful to extract real-world data with Python! #Python #WebScraping

DARSHIL_Analyst's tweet image. #Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 
🔍 Learned web scraping w/ requests & BeautifulSoup
📰 Pulled NYT tech headlines
💾 Stored output using custom context manager from Day 17
🔥 Feels powerful to extract real-world data with Python!
#Python #WebScraping
DARSHIL_Analyst's tweet image. #Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 
🔍 Learned web scraping w/ requests & BeautifulSoup
📰 Pulled NYT tech headlines
💾 Stored output using custom context manager from Day 17
🔥 Feels powerful to extract real-world data with Python!
#Python #WebScraping
DARSHIL_Analyst's tweet image. #Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 
🔍 Learned web scraping w/ requests & BeautifulSoup
📰 Pulled NYT tech headlines
💾 Stored output using custom context manager from Day 17
🔥 Feels powerful to extract real-world data with Python!
#Python #WebScraping

If you are interested in this Python Programming Challenge, Join our community and follow our socials for more exciting updates. 🔗👉linktr.ee/data_engineeri… #Python #30DaysPythonChallenge #Programming #Dataengineering


#Day24 of #30DaysPythonChallenge 🐍 🔹 Learned @dataclass in Python 🔸 Auto-generates init & repr 🔸 Used kw_only, frozen, __post_init__, and default_factory 💡 Recalled dunder methods like __repr__ Dataclasses = clean, readable OOP ✅ #Python #IndianDataClub #OOP @indiandataclub

DARSHIL_Analyst's tweet image. #Day24 of #30DaysPythonChallenge 🐍
🔹 Learned @dataclass in Python
🔸 Auto-generates init & repr
🔸 Used kw_only, frozen, __post_init__, and default_factory
💡 Recalled dunder methods like __repr__
Dataclasses = clean, readable OOP ✅
#Python #IndianDataClub #OOP @indiandataclub
DARSHIL_Analyst's tweet image. #Day24 of #30DaysPythonChallenge 🐍
🔹 Learned @dataclass in Python
🔸 Auto-generates init & repr
🔸 Used kw_only, frozen, __post_init__, and default_factory
💡 Recalled dunder methods like __repr__
Dataclasses = clean, readable OOP ✅
#Python #IndianDataClub #OOP @indiandataclub
DARSHIL_Analyst's tweet image. #Day24 of #30DaysPythonChallenge 🐍
🔹 Learned @dataclass in Python
🔸 Auto-generates init & repr
🔸 Used kw_only, frozen, __post_init__, and default_factory
💡 Recalled dunder methods like __repr__
Dataclasses = clean, readable OOP ✅
#Python #IndianDataClub #OOP @indiandataclub

#Day27 of #30DaysPythonChallenge 🐍 🔸 Used SQLAlchemy with FastAPI + Pydantic 🔸 Created persistent DB tables 🔸 Replaced static data in my Library App with a real DB From temp → durable APIs 💾 #Python #FastAPI #SQLAlchemy #IndianDataClub #LearningInPublic

DARSHIL_Analyst's tweet image. #Day27 of #30DaysPythonChallenge 🐍
🔸 Used SQLAlchemy with FastAPI + Pydantic
🔸 Created persistent DB tables
🔸 Replaced static data in my Library App with a real DB
From temp → durable APIs 💾
#Python #FastAPI #SQLAlchemy #IndianDataClub #LearningInPublic

#Day26 of #30DaysPythonChallenge 🐍 of @indiandataclub 🔹 Built a CRUD Book App with FastAPI ✅ POST, GET, PUT, DELETE using Swagger UI 💡 Used Pydantic to model and validate data I’m starting to love FastAPI x Pydantic combo! #FastAPI #Python #APIs #IndianDataClub

DARSHIL_Analyst's tweet image. #Day26 of #30DaysPythonChallenge 🐍 of @indiandataclub 
🔹 Built a CRUD Book App with FastAPI
✅ POST, GET, PUT, DELETE using Swagger UI
💡 Used Pydantic to model and validate data
I’m starting to love FastAPI x Pydantic combo!
#FastAPI #Python #APIs #IndianDataClub

#Day25 of #30DaysPythonChallenge 🐍 ✅ Learned about Pydantic – a powerful data validation lib 🔸 EmailStr, SecretStr, @field_validator() 🔸 Safer than manual checks via __post_init__() Great for APIs, JSON, and cleaner code! #Python #Pydantic #IndianDataClub #FastAPI #Backend

DARSHIL_Analyst's tweet image. #Day25 of #30DaysPythonChallenge 🐍
✅ Learned about Pydantic – a powerful data validation lib
🔸 EmailStr, SecretStr, @field_validator()
🔸 Safer than manual checks via __post_init__()
Great for APIs, JSON, and cleaner code!
#Python #Pydantic #IndianDataClub #FastAPI #Backend
DARSHIL_Analyst's tweet image. #Day25 of #30DaysPythonChallenge 🐍
✅ Learned about Pydantic – a powerful data validation lib
🔸 EmailStr, SecretStr, @field_validator()
🔸 Safer than manual checks via __post_init__()
Great for APIs, JSON, and cleaner code!
#Python #Pydantic #IndianDataClub #FastAPI #Backend
DARSHIL_Analyst's tweet image. #Day25 of #30DaysPythonChallenge 🐍
✅ Learned about Pydantic – a powerful data validation lib
🔸 EmailStr, SecretStr, @field_validator()
🔸 Safer than manual checks via __post_init__()
Great for APIs, JSON, and cleaner code!
#Python #Pydantic #IndianDataClub #FastAPI #Backend

#Day24 of #30DaysPythonChallenge 🐍 🔹 Learned @dataclass in Python 🔸 Auto-generates init & repr 🔸 Used kw_only, frozen, __post_init__, and default_factory 💡 Recalled dunder methods like __repr__ Dataclasses = clean, readable OOP ✅ #Python #IndianDataClub #OOP @indiandataclub

DARSHIL_Analyst's tweet image. #Day24 of #30DaysPythonChallenge 🐍
🔹 Learned @dataclass in Python
🔸 Auto-generates init & repr
🔸 Used kw_only, frozen, __post_init__, and default_factory
💡 Recalled dunder methods like __repr__
Dataclasses = clean, readable OOP ✅
#Python #IndianDataClub #OOP @indiandataclub
DARSHIL_Analyst's tweet image. #Day24 of #30DaysPythonChallenge 🐍
🔹 Learned @dataclass in Python
🔸 Auto-generates init & repr
🔸 Used kw_only, frozen, __post_init__, and default_factory
💡 Recalled dunder methods like __repr__
Dataclasses = clean, readable OOP ✅
#Python #IndianDataClub #OOP @indiandataclub
DARSHIL_Analyst's tweet image. #Day24 of #30DaysPythonChallenge 🐍
🔹 Learned @dataclass in Python
🔸 Auto-generates init & repr
🔸 Used kw_only, frozen, __post_init__, and default_factory
💡 Recalled dunder methods like __repr__
Dataclasses = clean, readable OOP ✅
#Python #IndianDataClub #OOP @indiandataclub

#Day23 of #30DaysPythonChallenge 🐍 🖥️ Built a GUI Temp Converter App using Kivy! ✅ Explored layouts & KV language ✅ Used class + try-except + context manager ✅ print() for quick debugging 😉 Kivy feels like giving logic a face. #Python #Kivy #GUI #IndianDataClub

DARSHIL_Analyst's tweet image. #Day23 of #30DaysPythonChallenge 🐍
🖥️ Built a GUI Temp Converter App using Kivy!
✅ Explored layouts & KV language
✅ Used class + try-except + context manager
✅ print() for quick debugging 😉
Kivy feels like giving logic a face.
#Python #Kivy #GUI #IndianDataClub

#Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 💻 Learned to build a CLI with argparse 🔹 Positional & keyword arguments 🔹 Created a temp converter CLI tool ✅ Reused try/except & my FileHandler More CLI power, more understanding! #Python #CLI #IndianDataClub

DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub
DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub
DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub
DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub

#Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 🔍 Learned web scraping w/ requests & BeautifulSoup 📰 Pulled NYT tech headlines 💾 Stored output using custom context manager from Day 17 🔥 Feels powerful to extract real-world data with Python! #Python #WebScraping

DARSHIL_Analyst's tweet image. #Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 
🔍 Learned web scraping w/ requests & BeautifulSoup
📰 Pulled NYT tech headlines
💾 Stored output using custom context manager from Day 17
🔥 Feels powerful to extract real-world data with Python!
#Python #WebScraping
DARSHIL_Analyst's tweet image. #Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 
🔍 Learned web scraping w/ requests & BeautifulSoup
📰 Pulled NYT tech headlines
💾 Stored output using custom context manager from Day 17
🔥 Feels powerful to extract real-world data with Python!
#Python #WebScraping
DARSHIL_Analyst's tweet image. #Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 
🔍 Learned web scraping w/ requests & BeautifulSoup
📰 Pulled NYT tech headlines
💾 Stored output using custom context manager from Day 17
🔥 Feels powerful to extract real-world data with Python!
#Python #WebScraping

#Day20 of #30DaysPythonChallenge 🐍 📡 Learned to set up an HTTP server using Python 🔹 Used BaseHTTPRequestHandler from http.server 🔹 Handled GET & POST requests 🔹 Ran the server from CLI Small script, big understanding! #Python #HTTP #IndianDataClub #LearningInPublic

DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic
DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic
DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic
DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic

🧵 Day 19 – Multithreading, Multiprocessing & Challenge #Day19 of #30DaysPythonChallenge 🧵 💡 Learned: Multithreading = shared memory, great for I/O tasks Multiprocessing = separate memory, great for CPU-heavy tasks 🔧 Used cpu_count() to avoid performance h

DARSHIL_Analyst's tweet image. 🧵 Day 19 – Multithreading, Multiprocessing & Challenge
#Day19 of #30DaysPythonChallenge 🧵
💡 Learned:
Multithreading = shared memory, great for I/O tasks
Multiprocessing = separate memory, great for CPU-heavy tasks
🔧 Used cpu_count() to avoid performance h
DARSHIL_Analyst's tweet image. 🧵 Day 19 – Multithreading, Multiprocessing & Challenge
#Day19 of #30DaysPythonChallenge 🧵
💡 Learned:
Multithreading = shared memory, great for I/O tasks
Multiprocessing = separate memory, great for CPU-heavy tasks
🔧 Used cpu_count() to avoid performance h

🏅 14-Day Streak – Twitter/X Post #14DayStreak Unlocked! 🐍 Started this #30DaysPythonChallenge on May 28 with @IndianDataClub. Fell sick midway, but didn’t give up — came back stronger and kept going. 14 days of Python ✅ Next up: full 30-day badge! 💪 #Python #Consistency

DARSHIL_Analyst's tweet image. 🏅 14-Day Streak – Twitter/X Post
#14DayStreak Unlocked! 🐍
Started this #30DaysPythonChallenge on May 28 with @IndianDataClub.
Fell sick midway, but didn’t give up — came back stronger and kept going.
14 days of Python ✅
Next up: full 30-day badge! 💪
#Python #Consistency

🐦 Day 18 – Metaclass #Day18 of #30DaysPythonChallenge 🐍 Today I dipped into metaclasses — classes that define how other classes behave 🤯 ✔️ Learned that classes are objects too ✔️ Metaclasses control class creation Still wrapping my head around it, but it’s powerful stuff!

DARSHIL_Analyst's tweet image. 🐦 Day 18 – Metaclass
#Day18 of #30DaysPythonChallenge 🐍
Today I dipped into metaclasses — classes that define how other classes behave 🤯
✔️ Learned that classes are objects too
✔️ Metaclasses control class creation
Still wrapping my head around it, but it’s powerful stuff!
DARSHIL_Analyst's tweet image. 🐦 Day 18 – Metaclass
#Day18 of #30DaysPythonChallenge 🐍
Today I dipped into metaclasses — classes that define how other classes behave 🤯
✔️ Learned that classes are objects too
✔️ Metaclasses control class creation
Still wrapping my head around it, but it’s powerful stuff!

🧵 Day 16 & 17 – Iterators, Generators & Context Managers 🔁 iter() & next() power loops 🧵 yield enables memory-safe looping 📦 Built a custom open() using __enter__ & __exit__ 💡 print() saved the day while debugging! #Python #30DaysPythonChallenge @indiandataclub

DARSHIL_Analyst's tweet image. 🧵 Day 16 & 17 – Iterators, Generators & Context Managers 
🔁 iter() & next() power loops
🧵 yield enables memory-safe looping
📦 Built a custom open() using __enter__ & __exit__
💡 print() saved the day while debugging!
#Python #30DaysPythonChallenge 
@indiandataclub
DARSHIL_Analyst's tweet image. 🧵 Day 16 & 17 – Iterators, Generators & Context Managers 
🔁 iter() & next() power loops
🧵 yield enables memory-safe looping
📦 Built a custom open() using __enter__ & __exit__
💡 print() saved the day while debugging!
#Python #30DaysPythonChallenge 
@indiandataclub

Day 22/30 of python challenge by @indiandataclub! 📃Topics Covered: 🔸Argparse 🔸CLI structure 🎯Challenge: Build a temperature converter CLI tool #30dayspythonchallenge #IDC30DaysChallenge #LakkiData #LearningSteps

lakkilohitha's tweet image. Day 22/30 of python challenge by @indiandataclub! 
📃Topics Covered: 
🔸Argparse 
🔸CLI structure
🎯Challenge: Build a temperature converter CLI tool
#30dayspythonchallenge #IDC30DaysChallenge #LakkiData #LearningSteps
lakkilohitha's tweet image. Day 22/30 of python challenge by @indiandataclub! 
📃Topics Covered: 
🔸Argparse 
🔸CLI structure
🎯Challenge: Build a temperature converter CLI tool
#30dayspythonchallenge #IDC30DaysChallenge #LakkiData #LearningSteps

Our youth are just terrible set of generation. I don't just know what could be cos? Is it cos of their access to phones and data make them lose their home trainings. When some youth are doing #30DaysPythonChallenge but they are after #30daysrantchallenge. Who did they offend?🤦


Starting new series from today #python #hacks #30dayspythonchallenge Any time post 5 to 10 post a day 😊 coding


If you are interested in this Python Programming Challenge, Join our community and follow our socials for more exciting updates. 🔗👉linktr.ee/data_engineeri… #Python #30DaysPythonChallenge #Programming #Dataengineering


After 3 days of learning python code in can easily make my first project code name generator : #30dayspythonchallenge #Python#PythonProgramming#LearnPython#Coding#Programming#DataScience#MachineLearning#WebDevelopment#PythonCommunity#CodeNewbie#TechEducation#DeveloperLife#Coding

ithinkabhay's tweet image. After 3 days of learning python code in can easily make my first project 
code name generator :
#30dayspythonchallenge
#Python#PythonProgramming#LearnPython#Coding#Programming#DataScience#MachineLearning#WebDevelopment#PythonCommunity#CodeNewbie#TechEducation#DeveloperLife#Coding

No results for "#30dayspythonchallenge"

#Day26 of #30DaysPythonChallenge 🐍 of @indiandataclub 🔹 Built a CRUD Book App with FastAPI ✅ POST, GET, PUT, DELETE using Swagger UI 💡 Used Pydantic to model and validate data I’m starting to love FastAPI x Pydantic combo! #FastAPI #Python #APIs #IndianDataClub

DARSHIL_Analyst's tweet image. #Day26 of #30DaysPythonChallenge 🐍 of @indiandataclub 
🔹 Built a CRUD Book App with FastAPI
✅ POST, GET, PUT, DELETE using Swagger UI
💡 Used Pydantic to model and validate data
I’m starting to love FastAPI x Pydantic combo!
#FastAPI #Python #APIs #IndianDataClub

#Day27 of #30DaysPythonChallenge 🐍 🔸 Used SQLAlchemy with FastAPI + Pydantic 🔸 Created persistent DB tables 🔸 Replaced static data in my Library App with a real DB From temp → durable APIs 💾 #Python #FastAPI #SQLAlchemy #IndianDataClub #LearningInPublic

DARSHIL_Analyst's tweet image. #Day27 of #30DaysPythonChallenge 🐍
🔸 Used SQLAlchemy with FastAPI + Pydantic
🔸 Created persistent DB tables
🔸 Replaced static data in my Library App with a real DB
From temp → durable APIs 💾
#Python #FastAPI #SQLAlchemy #IndianDataClub #LearningInPublic

#Day23 of #30DaysPythonChallenge 🐍 🖥️ Built a GUI Temp Converter App using Kivy! ✅ Explored layouts & KV language ✅ Used class + try-except + context manager ✅ print() for quick debugging 😉 Kivy feels like giving logic a face. #Python #Kivy #GUI #IndianDataClub

DARSHIL_Analyst's tweet image. #Day23 of #30DaysPythonChallenge 🐍
🖥️ Built a GUI Temp Converter App using Kivy!
✅ Explored layouts & KV language
✅ Used class + try-except + context manager
✅ print() for quick debugging 😉
Kivy feels like giving logic a face.
#Python #Kivy #GUI #IndianDataClub

Day 22/30 of python challenge by @indiandataclub! 📃Topics Covered: 🔸Argparse 🔸CLI structure 🎯Challenge: Build a temperature converter CLI tool #30dayspythonchallenge #IDC30DaysChallenge #LakkiData #LearningSteps

lakkilohitha's tweet image. Day 22/30 of python challenge by @indiandataclub! 
📃Topics Covered: 
🔸Argparse 
🔸CLI structure
🎯Challenge: Build a temperature converter CLI tool
#30dayspythonchallenge #IDC30DaysChallenge #LakkiData #LearningSteps
lakkilohitha's tweet image. Day 22/30 of python challenge by @indiandataclub! 
📃Topics Covered: 
🔸Argparse 
🔸CLI structure
🎯Challenge: Build a temperature converter CLI tool
#30dayspythonchallenge #IDC30DaysChallenge #LakkiData #LearningSteps

#Day15 of #30DaysPythonChallenge 🐍 of @indiandataclub Explored decorators today — used them to track function execution time without repeating boilerplate ⏱

DARSHIL_Analyst's tweet image. #Day15 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Explored decorators today — used them to track function execution time without repeating boilerplate ⏱
DARSHIL_Analyst's tweet image. #Day15 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Explored decorators today — used them to track function execution time without repeating boilerplate ⏱

After 3 days of learning python code in can easily make my first project code name generator : #30dayspythonchallenge #Python#PythonProgramming#LearnPython#Coding#Programming#DataScience#MachineLearning#WebDevelopment#PythonCommunity#CodeNewbie#TechEducation#DeveloperLife#Coding

ithinkabhay's tweet image. After 3 days of learning python code in can easily make my first project 
code name generator :
#30dayspythonchallenge
#Python#PythonProgramming#LearnPython#Coding#Programming#DataScience#MachineLearning#WebDevelopment#PythonCommunity#CodeNewbie#TechEducation#DeveloperLife#Coding

🧵 Day 16 & 17 – Iterators, Generators & Context Managers 🔁 iter() & next() power loops 🧵 yield enables memory-safe looping 📦 Built a custom open() using __enter__ & __exit__ 💡 print() saved the day while debugging! #Python #30DaysPythonChallenge @indiandataclub

DARSHIL_Analyst's tweet image. 🧵 Day 16 & 17 – Iterators, Generators & Context Managers 
🔁 iter() & next() power loops
🧵 yield enables memory-safe looping
📦 Built a custom open() using __enter__ & __exit__
💡 print() saved the day while debugging!
#Python #30DaysPythonChallenge 
@indiandataclub
DARSHIL_Analyst's tweet image. 🧵 Day 16 & 17 – Iterators, Generators & Context Managers 
🔁 iter() & next() power loops
🧵 yield enables memory-safe looping
📦 Built a custom open() using __enter__ & __exit__
💡 print() saved the day while debugging!
#Python #30DaysPythonChallenge 
@indiandataclub

#Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub Today I learned about Object-Oriented Programming — 🔸 Class = blueprint 🔸 Object = instance 🔸 Methods work via objects 🔸 Learned __str__() dunder method 🎯 Challenge: Create a Car class with attributes + display method

DARSHIL_Analyst's tweet image. #Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Today I learned about Object-Oriented Programming —
🔸 Class = blueprint
🔸 Object = instance
🔸 Methods work via objects
🔸 Learned __str__() dunder method
🎯 Challenge: Create a Car class with attributes + display method
DARSHIL_Analyst's tweet image. #Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Today I learned about Object-Oriented Programming —
🔸 Class = blueprint
🔸 Object = instance
🔸 Methods work via objects
🔸 Learned __str__() dunder method
🎯 Challenge: Create a Car class with attributes + display method
DARSHIL_Analyst's tweet image. #Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Today I learned about Object-Oriented Programming —
🔸 Class = blueprint
🔸 Object = instance
🔸 Methods work via objects
🔸 Learned __str__() dunder method
🎯 Challenge: Create a Car class with attributes + display method
DARSHIL_Analyst's tweet image. #Day8 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Today I learned about Object-Oriented Programming —
🔸 Class = blueprint
🔸 Object = instance
🔸 Methods work via objects
🔸 Learned __str__() dunder method
🎯 Challenge: Create a Car class with attributes + display method

#Day13 of #30DaysPythonChallenge @indiandataclub Learned to implement: 🔁 Queue (FIFO) – best with deque 📈 Used in stock updates, seat allocation, support queues ⬆️ Stack (LIFO) – also best with deque 🧠 Used in undo/redo, browser history, call stack Efficiency > just working

DARSHIL_Analyst's tweet image. #Day13 of #30DaysPythonChallenge @indiandataclub 
Learned to implement:
🔁 Queue (FIFO) – best with deque
📈 Used in stock updates, seat allocation, support queues
⬆️ Stack (LIFO) – also best with deque
🧠 Used in undo/redo, browser history, call stack
Efficiency > just working
DARSHIL_Analyst's tweet image. #Day13 of #30DaysPythonChallenge @indiandataclub 
Learned to implement:
🔁 Queue (FIFO) – best with deque
📈 Used in stock updates, seat allocation, support queues
⬆️ Stack (LIFO) – also best with deque
🧠 Used in undo/redo, browser history, call stack
Efficiency > just working
DARSHIL_Analyst's tweet image. #Day13 of #30DaysPythonChallenge @indiandataclub 
Learned to implement:
🔁 Queue (FIFO) – best with deque
📈 Used in stock updates, seat allocation, support queues
⬆️ Stack (LIFO) – also best with deque
🧠 Used in undo/redo, browser history, call stack
Efficiency > just working
DARSHIL_Analyst's tweet image. #Day13 of #30DaysPythonChallenge @indiandataclub 
Learned to implement:
🔁 Queue (FIFO) – best with deque
📈 Used in stock updates, seat allocation, support queues
⬆️ Stack (LIFO) – also best with deque
🧠 Used in undo/redo, browser history, call stack
Efficiency > just working

#Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 💻 Learned to build a CLI with argparse 🔹 Positional & keyword arguments 🔹 Created a temp converter CLI tool ✅ Reused try/except & my FileHandler More CLI power, more understanding! #Python #CLI #IndianDataClub

DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub
DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub
DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub
DARSHIL_Analyst's tweet image. #Day22 of #30DaysPythonChallenge 🐍 of @indiandataclub 
💻 Learned to build a CLI with argparse
🔹 Positional & keyword arguments
🔹 Created a temp converter CLI tool
✅ Reused try/except & my FileHandler
More CLI power, more understanding! 
#Python #CLI #IndianDataClub

🧵 Day 19 – Multithreading, Multiprocessing & Challenge #Day19 of #30DaysPythonChallenge 🧵 💡 Learned: Multithreading = shared memory, great for I/O tasks Multiprocessing = separate memory, great for CPU-heavy tasks 🔧 Used cpu_count() to avoid performance h

DARSHIL_Analyst's tweet image. 🧵 Day 19 – Multithreading, Multiprocessing & Challenge
#Day19 of #30DaysPythonChallenge 🧵
💡 Learned:
Multithreading = shared memory, great for I/O tasks
Multiprocessing = separate memory, great for CPU-heavy tasks
🔧 Used cpu_count() to avoid performance h
DARSHIL_Analyst's tweet image. 🧵 Day 19 – Multithreading, Multiprocessing & Challenge
#Day19 of #30DaysPythonChallenge 🧵
💡 Learned:
Multithreading = shared memory, great for I/O tasks
Multiprocessing = separate memory, great for CPU-heavy tasks
🔧 Used cpu_count() to avoid performance h

🐦 Day 18 – Metaclass #Day18 of #30DaysPythonChallenge 🐍 Today I dipped into metaclasses — classes that define how other classes behave 🤯 ✔️ Learned that classes are objects too ✔️ Metaclasses control class creation Still wrapping my head around it, but it’s powerful stuff!

DARSHIL_Analyst's tweet image. 🐦 Day 18 – Metaclass
#Day18 of #30DaysPythonChallenge 🐍
Today I dipped into metaclasses — classes that define how other classes behave 🤯
✔️ Learned that classes are objects too
✔️ Metaclasses control class creation
Still wrapping my head around it, but it’s powerful stuff!
DARSHIL_Analyst's tweet image. 🐦 Day 18 – Metaclass
#Day18 of #30DaysPythonChallenge 🐍
Today I dipped into metaclasses — classes that define how other classes behave 🤯
✔️ Learned that classes are objects too
✔️ Metaclasses control class creation
Still wrapping my head around it, but it’s powerful stuff!

Interested in learning the Python language? Join the 30 Days Python Challenge from Beginner to Intermediate. More information would be made available on the group. 👇🏻👇🏻👇🏻👇🏻👇🏻 chat.whatsapp.com/KvuMAo0Ac6X671… #30dayspythonchallenge #pythonprogramming #python #python3 #pythons #py

XselerAfrica's tweet image. Interested in learning the Python language?

Join the 30 Days Python Challenge from Beginner to Intermediate.

More information would be made available on the group.

👇🏻👇🏻👇🏻👇🏻👇🏻
chat.whatsapp.com/KvuMAo0Ac6X671…

#30dayspythonchallenge #pythonprogramming #python #python3 #pythons #py

#Day24 of #30DaysPythonChallenge 🐍 🔹 Learned @dataclass in Python 🔸 Auto-generates init & repr 🔸 Used kw_only, frozen, __post_init__, and default_factory 💡 Recalled dunder methods like __repr__ Dataclasses = clean, readable OOP ✅ #Python #IndianDataClub #OOP @indiandataclub

DARSHIL_Analyst's tweet image. #Day24 of #30DaysPythonChallenge 🐍
🔹 Learned @dataclass in Python
🔸 Auto-generates init & repr
🔸 Used kw_only, frozen, __post_init__, and default_factory
💡 Recalled dunder methods like __repr__
Dataclasses = clean, readable OOP ✅
#Python #IndianDataClub #OOP @indiandataclub
DARSHIL_Analyst's tweet image. #Day24 of #30DaysPythonChallenge 🐍
🔹 Learned @dataclass in Python
🔸 Auto-generates init & repr
🔸 Used kw_only, frozen, __post_init__, and default_factory
💡 Recalled dunder methods like __repr__
Dataclasses = clean, readable OOP ✅
#Python #IndianDataClub #OOP @indiandataclub
DARSHIL_Analyst's tweet image. #Day24 of #30DaysPythonChallenge 🐍
🔹 Learned @dataclass in Python
🔸 Auto-generates init & repr
🔸 Used kw_only, frozen, __post_init__, and default_factory
💡 Recalled dunder methods like __repr__
Dataclasses = clean, readable OOP ✅
#Python #IndianDataClub #OOP @indiandataclub

#Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 🔍 Learned web scraping w/ requests & BeautifulSoup 📰 Pulled NYT tech headlines 💾 Stored output using custom context manager from Day 17 🔥 Feels powerful to extract real-world data with Python! #Python #WebScraping

DARSHIL_Analyst's tweet image. #Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 
🔍 Learned web scraping w/ requests & BeautifulSoup
📰 Pulled NYT tech headlines
💾 Stored output using custom context manager from Day 17
🔥 Feels powerful to extract real-world data with Python!
#Python #WebScraping
DARSHIL_Analyst's tweet image. #Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 
🔍 Learned web scraping w/ requests & BeautifulSoup
📰 Pulled NYT tech headlines
💾 Stored output using custom context manager from Day 17
🔥 Feels powerful to extract real-world data with Python!
#Python #WebScraping
DARSHIL_Analyst's tweet image. #Day21 of #30DaysPythonChallenge 🐍 @indiandataclub 
🔍 Learned web scraping w/ requests & BeautifulSoup
📰 Pulled NYT tech headlines
💾 Stored output using custom context manager from Day 17
🔥 Feels powerful to extract real-world data with Python!
#Python #WebScraping

#Day10 of #30DaysPythonChallenge 🐍 Focused on Exception Handling today — using try-except blocks to handle errors without stopping execution. 🎯 Challenge: Take user input + handle invalid entries Also revised: user input, dicts, file ops, FileNotFoundError, ValueError

DARSHIL_Analyst's tweet image. #Day10 of #30DaysPythonChallenge 🐍
Focused on Exception Handling today — using try-except blocks to handle errors without stopping execution.
🎯 Challenge: Take user input + handle invalid entries
Also revised: user input, dicts, file ops, FileNotFoundError, ValueError
DARSHIL_Analyst's tweet image. #Day10 of #30DaysPythonChallenge 🐍
Focused on Exception Handling today — using try-except blocks to handle errors without stopping execution.
🎯 Challenge: Take user input + handle invalid entries
Also revised: user input, dicts, file ops, FileNotFoundError, ValueError
DARSHIL_Analyst's tweet image. #Day10 of #30DaysPythonChallenge 🐍
Focused on Exception Handling today — using try-except blocks to handle errors without stopping execution.
🎯 Challenge: Take user input + handle invalid entries
Also revised: user input, dicts, file ops, FileNotFoundError, ValueError

#Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub Learned about inheritance — when a class reuses another class’s features. Like Car, Bike, and Truck inheriting from a general Vehicle class. No repetition. Just reuse + extend. 💡 "Build on what already works." #Python #OOP

DARSHIL_Analyst's tweet image. #Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Learned about inheritance — when a class reuses another class’s features.

Like Car, Bike, and Truck inheriting from a general Vehicle class.
No repetition. Just reuse + extend. 💡
"Build on what already works."
#Python #OOP
DARSHIL_Analyst's tweet image. #Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Learned about inheritance — when a class reuses another class’s features.

Like Car, Bike, and Truck inheriting from a general Vehicle class.
No repetition. Just reuse + extend. 💡
"Build on what already works."
#Python #OOP
DARSHIL_Analyst's tweet image. #Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Learned about inheritance — when a class reuses another class’s features.

Like Car, Bike, and Truck inheriting from a general Vehicle class.
No repetition. Just reuse + extend. 💡
"Build on what already works."
#Python #OOP
DARSHIL_Analyst's tweet image. #Day9 of #30DaysPythonChallenge 🐍 of @indiandataclub 

Learned about inheritance — when a class reuses another class’s features.

Like Car, Bike, and Truck inheriting from a general Vehicle class.
No repetition. Just reuse + extend. 💡
"Build on what already works."
#Python #OOP

#Day20 of #30DaysPythonChallenge 🐍 📡 Learned to set up an HTTP server using Python 🔹 Used BaseHTTPRequestHandler from http.server 🔹 Handled GET & POST requests 🔹 Ran the server from CLI Small script, big understanding! #Python #HTTP #IndianDataClub #LearningInPublic

DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic
DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic
DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic
DARSHIL_Analyst's tweet image. #Day20 of #30DaysPythonChallenge 🐍
📡 Learned to set up an HTTP server using Python
🔹 Used BaseHTTPRequestHandler from http.server
🔹 Handled GET & POST requests
🔹 Ran the server from CLI
Small script, big understanding!
#Python #HTTP #IndianDataClub #LearningInPublic

#Day11 of #30DaysPythonChallenge 🐍 of Today I explored the datetime module crucial in #DataScience for analyzing time-based trends. ✔️ Learned about attributes vs methods ✔️ Used strftime() for formatting ✔️ Calculated date differences Challenge: Days between 2 dates

DARSHIL_Analyst's tweet image. #Day11 of #30DaysPythonChallenge 🐍 of 
Today I explored the datetime module crucial in #DataScience for analyzing time-based trends.
✔️ Learned about attributes vs methods
✔️ Used strftime() for formatting
✔️ Calculated date differences
Challenge: Days between 2 dates
DARSHIL_Analyst's tweet image. #Day11 of #30DaysPythonChallenge 🐍 of 
Today I explored the datetime module crucial in #DataScience for analyzing time-based trends.
✔️ Learned about attributes vs methods
✔️ Used strftime() for formatting
✔️ Calculated date differences
Challenge: Days between 2 dates
DARSHIL_Analyst's tweet image. #Day11 of #30DaysPythonChallenge 🐍 of 
Today I explored the datetime module crucial in #DataScience for analyzing time-based trends.
✔️ Learned about attributes vs methods
✔️ Used strftime() for formatting
✔️ Calculated date differences
Challenge: Days between 2 dates

#Day14 of #30DaysPythonChallenge 🐍 Learned about Recursion — a function calling itself to break down problems! ✔️ Used in factorials, Fibonacci, tree traversal ✔️ OS may use recursive logic, but recursion ≠ threads 🎯 Challenge: Find factorial using recursion #Python #Day14

DARSHIL_Analyst's tweet image. #Day14 of #30DaysPythonChallenge 🐍
Learned about Recursion — a function calling itself to break down problems!
✔️ Used in factorials, Fibonacci, tree traversal
✔️ OS may use recursive logic, but recursion ≠ threads
🎯 Challenge: Find factorial using recursion
#Python #Day14
DARSHIL_Analyst's tweet image. #Day14 of #30DaysPythonChallenge 🐍
Learned about Recursion — a function calling itself to break down problems!
✔️ Used in factorials, Fibonacci, tree traversal
✔️ OS may use recursive logic, but recursion ≠ threads
🎯 Challenge: Find factorial using recursion
#Python #Day14

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