#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

#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


#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

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 ⏱


🧵 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




#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


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!


#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




#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




#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



Started Python for data analysis again 😐 Day 01 of #30dayspythonchallenge
#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

#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



#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




#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




🧵 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

🐦 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


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
Started Python for data analysis again 😐 Day 01 of #30dayspythonchallenge
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

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

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 ⏱


#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

#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



#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


#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




#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




#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

#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


🐦 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



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