#30dayspythonchallenge 검색 결과

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

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

#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

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


#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 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

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


🧵 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

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?🤦


🐦 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

#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

#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

#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

"#30dayspythonchallenge"에 대한 결과가 없습니다

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

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

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

#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 ⏱

#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

#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

#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

#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

🧵 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

#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

#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

#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

🏅 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

#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 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!

#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

Loading...

Something went wrong.


Something went wrong.


United States Trends