Showing posts with label Python. Show all posts
Showing posts with label Python. Show all posts

Tuesday, 11 February 2025

25 Github Repositories Every Python Developer Should Know

 


Python has one of the richest ecosystems of libraries and tools, making it a favorite for developers worldwide. GitHub is the ultimate treasure trove for discovering these tools and libraries. Whether you're a beginner or an experienced Python developer, knowing the right repositories can save time and boost productivity. Here's a list of 25 must-know GitHub repositories for Python enthusiasts:


1. Python

The official repository of Python's source code. Dive into it to explore Python's internals or contribute to the language's development.


2. Awesome Python

A curated list of awesome Python frameworks, libraries, software, and resources. A perfect starting point for any Python developer.


3. Requests

Simplifies HTTP requests in Python. A must-have library for working with APIs and web scraping.


4. Flask

A lightweight web framework that is simple to use yet highly flexible, ideal for small to medium-sized applications.


5. Django

A high-level web framework that encourages rapid development and clean, pragmatic design for building robust web applications.


6. FastAPI

A modern web framework for building APIs with Python. Known for its speed and automatic OpenAPI documentation.


7. Pandas

Provides powerful tools for data manipulation and analysis, including support for data frames.


8. NumPy

The go-to library for numerical computations. It’s the backbone of Python’s scientific computing stack.


9. Matplotlib

A plotting library for creating static, animated, and interactive visualizations in Python.


10. Seaborn

Builds on Matplotlib and simplifies creating beautiful and informative statistical graphics.


11. Scikit-learn

A machine learning library featuring various classification, regression, and clustering algorithms.


12. TensorFlow

A powerful framework for machine learning and deep learning, supported by Google.


13. PyTorch

Another leading machine learning framework, known for its flexibility and dynamic computation graph.


14. BeautifulSoup

Simplifies web scraping by parsing HTML and XML documents.


15. Scrapy

An advanced web scraping and web crawling framework.


16. Streamlit

Makes it easy to build and share data apps using pure Python. Great for data scientists.


17. Celery

A distributed task queue library for running asynchronous jobs.


18. SQLAlchemy

A powerful ORM (Object-Relational Mapping) tool for managing database operations in Python.


19. Pytest

A robust testing framework for writing simple and scalable test cases.


20. Black

An uncompromising code formatter for Python. Makes your code consistent and clean.


21. Bokeh

For creating interactive visualizations in modern web browsers.


22. Plotly

Another library for creating interactive visualizations but with more customization options.


23. OpenCV

The go-to library for computer vision tasks like image processing and object detection.


24. Pillow

A friendly fork of PIL (Python Imaging Library), used for image processing tasks.


25. Rich

A Python library for beautiful terminal outputs with rich text, progress bars, and more.


Conclusion

These repositories are just the tip of the iceberg of what’s available in the Python ecosystem. Familiarize yourself with them to improve your workflow and stay ahead in the rapidly evolving world of Python development. 

Monday, 10 February 2025

PyConf Hyderabad 2025: Uniting Python Enthusiasts for Innovation


"PyConf Hyderabad 2025: Uniting Python Enthusiasts for Innovation"

Python enthusiasts, mark your calendars! PyConf Hyderabad 2025 is set to bring together developers, educators, and tech enthusiasts from across India and beyond. With a dynamic lineup of talks, hands-on workshops, and collaborative sessions, PyConf Hyderabad is more than just a conference—it’s an immersive retreat where the Python community comes together to learn, share, and innovate.

Event Details

Dates: May 1–24, 2025

Location: Hyderabad, India (Exact location to be revealed soon)

Theme: "Code, Collaborate, Create"

Format: In-person and virtual attendance options available


What to Expect at PyConf Hyderabad 2025

1. Keynote Speakers

Get inspired by some of the leading voices in the Python community and the broader tech industry. Keynote sessions will cover a diverse range of topics, including Python's role in AI, software development, education, and scientific computing.

2. Informative Talks

PyConf Hyderabad will feature sessions catering to all skill levels, from beginner-friendly introductions to deep technical insights. Expect discussions on Python’s latest advancements, best practices, and industry applications.

3. Hands-on Workshops

Gain practical experience with Python frameworks, libraries, and tools. Workshops will focus on various domains such as data science, machine learning, web development, automation, and DevOps.

4. Collaborative Coding Sprints

Contribute to open-source projects and collaborate with fellow developers during the popular sprint sessions. Whether you're a beginner or an experienced coder, this is your chance to make an impact in the Python ecosystem.

5. Networking and Community Building

Connect with fellow Pythonistas, exchange ideas, and build meaningful relationships during social events, coffee breaks, and informal meetups. PyConf Hyderabad fosters a welcoming and inclusive environment for all attendees.

6. Education and Learning Track

Special sessions will focus on Python’s role in education, showcasing how it is being used to teach programming and empower learners of all ages.

7. Cultural Experience and Team Building

Unlike traditional conferences, PyConf Hyderabad will also emphasize cultural experiences, team-building exercises, and social engagements that make the event unique. Hyderabad, known as the "City of Pearls," offers a vibrant blend of tradition and technology.

Who Should Attend?

Developers: Expand your Python skills and explore new tools.

Educators: Learn how Python is transforming education and digital literacy.

Students & Beginners: Kickstart your Python journey with guidance from experts.

Community Leaders: Share insights on fostering inclusive and innovative tech communities.


Registration and Tickets

Visit the official PyConf Hyderabad 2025 website to register. Early bird tickets will be available, so stay tuned for announcements!

Get Involved

PyConf Hyderabad thrives on community involvement. Here’s how you can contribute:

Submit a Talk or Workshop Proposal: Share your knowledge and experience.

Volunteer: Help organize and run the event.

Sponsor the Conference: Support the growth of Python and its community.

Register : PyConf Hyderabad 2025

For live updates : https://chat.whatsapp.com/Bp0KshiyGMP28iG1JU0q82

Explore Hyderabad While You’re Here

PyConf Hyderabad isn’t just about Python—it’s also an opportunity to experience the rich history, culture, and flavors of Hyderabad. Whether it’s enjoying the famous Hyderabadi biryani, exploring the historic Charminar, or visiting the modern tech hubs, there’s plenty to see and do.

Join Us at PyConf Hyderabad 2025

Whether you're an experienced developer, an educator, or just starting your Python journey, PyConf Hyderabad 2025 has something for everyone. More than just a conference, it’s a chance to immerse yourself in the Python community, learn from peers, and create lasting connections.

Don’t miss out on this incredible experience. Register today, and we’ll see you at PyConf Hyderabad 2025!


5 Python Decorators Every Developer Should Know

 


Decorators in Python are an advanced feature that can take your coding efficiency to the next level. They allow you to modify or extend the behavior of functions and methods without changing their code directly. In this blog, we’ll explore five powerful Python decorators that can transform your workflow, making your code cleaner, reusable, and more efficient.


1. @staticmethod: Simplify Utility Methods

When creating utility methods within a class, the @staticmethod decorator allows you to define methods that don’t depend on an instance of the class. It’s a great way to keep related logic encapsulated without requiring object instantiation.


class MathUtils:
@staticmethod def add(x, y): return x + y
print(MathUtils.add(5, 7)) # Output: 12

2. @property: Manage Attributes Like a Pro

The @property decorator makes it easy to manage class attributes with getter and setter methods while keeping the syntax clean and intuitive.


class Circle:
def __init__(self, radius): self._radius = radius @property def radius(self): return self._radius
@radius.setter def radius(self, value): if value < 0: raise ValueError("Radius cannot be negative!")
self._radius = value circle = Circle(5) circle.radius = 10 # Updates radius to 10
print(circle.radius) # Output: 10

3. @wraps: Preserve Metadata in Wrapped Functions

When writing custom decorators, the @wraps decorator from functools ensures the original function’s metadata, such as its name and docstring, is preserved.


from functools import wraps
def log_execution(func): @wraps(func)
def wrapper(*args, **kwargs):
print(f"Executing {func.__name__}...")
return func(*args, **kwargs)
return wrapper
@log_execution
def greet(name):
"""Greets the user by name.""" return f"Hello, {name}!" print(greet("Alice")) # Output: Executing greet... Hello, Alice!
print(greet.__doc__) # Output: Greets the user by name.

4. @lru_cache: Boost Performance with Caching

For functions with expensive computations, the @lru_cache decorator from functools caches results, significantly improving performance for repeated calls with the same arguments.


from functools import lru_cache
@lru_cache(maxsize=100) def fibonacci(n): if n < 2: return n return fibonacci(n - 1) + fibonacci(n - 2)
print(fibonacci(30)) # Output: 832040 (calculated much faster!)

5. Custom Decorators: Add Flexibility to Your Code

Creating your own decorators gives you unparalleled flexibility to enhance functions as per your project’s needs.


def repeat(n):
def decorator(func): @wraps(func) def wrapper(*args, **kwargs):
for _ in range(n):
func(*args, **kwargs) return wrapper
return decorator

@repeat(3) def say_hello():
print("Hello!")

say_hello() # Output: Hello! (repeated 3 times)

Conclusion

These five decorators showcase the power and versatility of Python’s decorator system. Whether you’re managing class attributes, optimizing performance, or creating reusable patterns, decorators can help you write cleaner, more efficient, and more Pythonic code. Start experimenting with these in your projects and see how they transform your coding workflow!

Friday, 7 February 2025

5 Basic Python Libraries and Their Surprising Alternatives Upgrade Your Python Skills

 


Python is beloved for its rich ecosystem of libraries that simplify programming tasks. But did you know that for many popular libraries, there are lesser-known alternatives that might offer more features, better performance, or unique capabilities? Let’s explore five basic Python libraries and their surprising alternatives to help you take your Python skills to the next level.


1. Numpy

Basic Library: Numpy is the go-to library for numerical computations in Python. It provides powerful tools for array manipulation, mathematical operations, and linear algebra.
Alternative: JAX
JAX is gaining traction for numerical computation and machine learning. Built by Google, it allows you to run Numpy-like operations but with GPU/TPU acceleration. JAX also supports automatic differentiation, making it a strong contender for both researchers and developers.

Why JAX?

  • Numpy-like syntax with modern acceleration.

  • Optimized for machine learning workflows.

  • Seamless integration with deep learning libraries.

import jax.numpy as jnp
from jax import grad

# Define a simple function
f = lambda x: x**2 + 3 * x + 2

# Compute gradient
gradient = grad(f)
print("Gradient at x=2:", gradient(2.0))

2. Matplotlib

Basic Library: Matplotlib is widely used for data visualization. It offers control over every aspect of a plot, making it a favorite for generating static graphs.

Alternative: Plotly
Plotly takes visualization to the next level with its interactive charts and dashboards. Unlike Matplotlib, it’s ideal for building web-based visualizations and interactive plots without much additional effort.

Why Plotly?

  • Interactive and visually appealing plots.

  • Easy integration with web frameworks like Flask or Dash.

  • Ideal for real-time data visualization.

import plotly.express as px
data = px.data.iris()
fig = px.scatter(data, x="sepal_width", y="sepal_length", color="species", title="Iris Dataset")
fig.show()

3. Pandas

Basic Library: Pandas is the most popular library for data manipulation and analysis. It simplifies working with structured data such as CSV files and SQL databases.

Alternative: Polars
Polars is a high-performance alternative to Pandas. Written in Rust, it offers faster data processing and a smaller memory footprint, especially for large datasets.

Why Polars?

  • Multithreaded execution for speed.

  • Optimized for large-scale data processing.

  • Syntax similar to Pandas, making the transition easy.

import polars as pl

data = pl.DataFrame({"Name": ["Alice", "Bob", "Charlie"], "Age": [25, 30, 35]})
print(data)

4. Requests

Basic Library: Requests is a beginner-friendly library for making HTTP requests. It simplifies working with APIs and handling web data.

Alternative: HTTPX
HTTPX is a modern alternative to Requests with support for asynchronous programming. It’s perfect for developers who need to handle large-scale web scraping or work with high-concurrency applications.

Why HTTPX?

  • Asynchronous capabilities using Python’s asyncio.

  • Built-in HTTP/2 support for better performance.

  • Compatible with Requests’ API, making it easy to adopt.

import httpx

async def fetch_data():
    async with httpx.AsyncClient() as client:
        response = await client.get("https://api.example.com/data")
        print(response.json())
 # To run this, use: asyncio.run(fetch_data())

5. Scikit-learn

Basic Library: Scikit-learn is the go-to library for machine learning, offering tools for classification, regression, clustering, and more.

Alternative: PyCaret
PyCaret is an all-in-one machine learning library that simplifies the ML workflow. It’s designed for fast prototyping and low-code experimentation, making it a favorite among beginners and professionals alike.

Why PyCaret?

  • Automates data preprocessing, model selection, and hyperparameter tuning.

  • Low-code interface for rapid experimentation.

  • Supports deployment-ready pipelines.

from pycaret.datasets import get_data
from pycaret.classification import setup, compare_models

# Load dataset
data = get_data("iris")

# Set up PyCaret environment
clf = setup(data, target="species")
 
# Compare models
best_model = compare_models()
print(best_model)

Wrapping Up

Exploring alternatives to common Python libraries can open up new possibilities and improve your programming efficiency. Whether you’re looking for faster performance, modern features, or enhanced interactivity, these alternatives can elevate your Python skills.

Ready to try something new? Experiment with these libraries in your next project and unlock their full potential!


Thursday, 6 February 2025

PyCon Sweden 2025 : The Ultimate Python Developer Gathering in Stockholm

 




     

Get ready, Python enthusiasts! PyCon Sweden 2025 is set to bring together the brightest minds in the Python community in Stockholm. With a focus on innovation, collaboration, and knowledge sharing, PyCon Sweden offers an inspiring platform for developers, educators, and tech enthusiasts to explore new ideas, technologies, and trends in the world of Python. Don't miss your chance to connect with experts and fellow Python lovers at this exciting event!

Event Details

  • Dates: October 30–31, 2025
  • Location: Clarion Hotel Skanstull, Stockholm, Sweden
  • Theme: To be announced
  • Format: In-person and virtual options for attendance

Why Attend PyCon Sweden 2025?


Inspiring Keynotes: 
Hear from Python leaders as they share insights on Python's impact across industries.

Diverse Talks: 
Sessions covering a wide range of topics including AI, web development, data science, and more.

Practical Workshops: 
Hands-on learning sessions to deepen your understanding of Python tools and frameworks.

Community Networking:
Connect with developers from around the world and exchange ideas.

Lightning Talks:
Quick, impactful presentations showcasing Python community creativity.

Developer Sprints:
Collaborate on open-source projects and contribute back to the ecosystem

Who Should Attend PyCon Sweden 2025?

Python Developers: Whether you're a beginner or advanced, PyCon Sweden offers sessions for all skill levels.
Educators: Teachers and instructors can find valuable resources and community connections.
Industry Professionals: Gain insights into Python's role in shaping future technologies.
Students: Learn from hands-on workshops and inspiring talks.
Open-source Contributors: Collaborate with others and contribute to Python projects.

Be a part of PyCon Sweden

Submit a Proposal: Share your expertise by presenting a talk or hosting a workshop.

Volunteer: Contribute your time to help organize and ensure a smooth event.

Sponsor the Event: Showcase your company's involvement in the Python community.

Experience Sweden's Culture at PyCon Sweden 2025

Join PyCon Sweden 2025 in Stockholm and immerse yourself in Sweden's rich culture. Explore the stunning architecture, vibrant local life, and fascinating history while connecting with the global Python community. Discover the perfect blend of technology and Swedish heritage as you enjoy the event and the city’s unique offerings.

Register : PyCon Sweden 2025

For live updates join : https://chat.whatsapp.com/CqSrOSgUnHB6DN33AnsiEX

Don’t Miss Out on PyCon Sweden 2025!


This is your chance to connect with the global Python community, learn from industry leaders, and explore the latest innovations in Python. Whether you’re looking to expand your knowledge, network with experts, or contribute to open-source projects, PyCon Sweden offers an experience you won’t forget. Be part of this exciting event in Stockholm—mark your calendars now!

Wednesday, 5 February 2025

7 Python Power Moves: Cool Tricks I Use Every Day

 


1. Unpacking Multiple Values

Unpacking simplifies handling multiple values in lists, tuples, or dictionaries.


a, b, c = [1, 2, 3]
print(a, b, c) # Output: 1 2 3

Explanation:

  • You assign values from the list [1, 2, 3] directly to a, b, and c. No need for index-based access.

2. Swap Two Variables Without a Temp Variable

Python allows swapping variables in one line.


x, y = 5, 10
x, y = y, x
print(x, y) # Output: 10 5

Explanation:

  • Python internally uses tuple packing/unpacking to achieve swapping in one line.

3. List Comprehension for One-Liners

Condense loops into one-liners using list comprehensions.


squares = [x*x for x in range(5)]
print(squares) # Output: [0, 1, 4, 9, 16]

Explanation:

  • Instead of a loop, you create a list of squares with concise syntax [x*x for x in range(5)].

4. Use zip to Pair Two Lists

Combine two lists element-wise into tuples using zip.


names = ["Alice", "Bob"]
scores = [85, 90] pairs = list(zip(names, scores))
print(pairs) # Output: [('Alice', 85), ('Bob', 90)]

Explanation:

  • zip pairs the first elements of both lists, then the second elements, and so on.

5. Dictionary Comprehension

Quickly create dictionaries from lists or ranges.


squares_dict = {x: x*x for x in range(5)}
print(squares_dict) # Output: {0: 0, 1: 1, 2: 4, 3: 9, 4: 16}

Explanation:

  • {key: value for item in iterable} creates a dictionary where the key is x and the value is x*x.

6. Use enumerate to Track Indices

Get the index and value from an iterable in one loop.


fruits = ["apple", "banana", "cherry"]
for index, fruit in enumerate(fruits): print(index, fruit) # Output: # 0 apple # 1 banana
# 2 cherry

Explanation:

  • enumerate returns both the index and the value during iteration.

7. Use *args and **kwargs in Functions

Handle a variable number of arguments in your functions.


def greet(*args, **kwargs):
for name in args: print(f"Hello, {name}!") for key, value in kwargs.items(): print(f"{key}: {value}") greet("Alice", "Bob", age=25, location="NYC") # Output: # Hello, Alice! # Hello, Bob! # age: 25
# location: NYC

Explanation:

  • *args: Collects positional arguments into a tuple.
  • **kwargs: Collects keyword arguments into a dictionary.

These tricks save time and make your code concise. Which one is your favorite? 😊

Sunday, 2 February 2025

18 Insanely Useful Python Automation Scripts I Use Everyday


 Here’s a list of 18 insanely useful Python automation scripts you can use daily to simplify tasks, improve productivity, and streamline your workflow:


1. Bulk File Renamer

Rename files in a folder based on a specific pattern.


import os
for i, file in enumerate(os.listdir("your_folder")):
os.rename(file, f"file_{i}.txt")

2. Email Sender

Send automated emails with attachments.


import smtplib
from email.mime.text import MIMEText from email.mime.multipart import MIMEMultipart msg = MIMEMultipart() msg['From'] = "you@example.com" msg['To'] = "receiver@example.com" msg['Subject'] = "Subject" msg.attach(MIMEText("Message body", 'plain')) server = smtplib.SMTP('smtp.gmail.com', 587)
server.starttls() server.login("you@example.com", "password") server.sendmail(msg['From'], msg['To'], msg.as_string())
server.quit()

3. Web Scraper

Extract useful data from websites.


import requests
from bs4 import BeautifulSoup url = "https://example.com" soup = BeautifulSoup(requests.get(url).text, 'html.parser')
print(soup.title.string)

4. Weather Notifier

Fetch daily weather updates.


import requests
city = "London" url = f"https://wttr.in/{city}?format=3"
print(requests.get(url).text)

5. Wi-Fi QR Code Generator

Generate QR codes for your Wi-Fi network.


from wifi_qrcode_generator import wifi_qrcode
wifi_qrcode("YourSSID", False, "WPA", "YourPassword").show()

6. YouTube Video Downloader

Download YouTube videos in seconds.


from pytube import YouTube
YouTube("video_url").streams.first().download()

7. Image Resizer

Resize multiple images at once.


from PIL import Image
Image.open("input.jpg").resize((500, 500)).save("output.jpg")

8. PDF Merger

Combine multiple PDFs into one.


from PyPDF2 import PdfMerger
merger = PdfMerger() for pdf in ["file1.pdf", "file2.pdf"]: merger.append(pdf)
merger.write("merged.pdf")

9. Expense Tracker

Log daily expenses in a CSV file.


import csv
with open("expenses.csv", "a") as file: writer = csv.writer(file)
writer.writerow(["Date", "Description", "Amount"])

10. Automated Screenshot Taker

Capture screenshots programmatically.


import pyautogui
pyautogui.screenshot("screenshot.png")

11. Folder Organizer

Sort files into folders by type.


import os, shutil
for file in os.listdir("folder_path"): ext = file.split('.')[-1] os.makedirs(ext, exist_ok=True)
shutil.move(file, ext)

12. System Resource Monitor

Check CPU and memory usage.

import psutil
print(f"CPU: {psutil.cpu_percent()}%, Memory: {psutil.virtual_memory().percent}%")

13. Task Scheduler

Automate repetitive tasks with schedule.


import schedule, time
schedule.every().day.at("10:00").do(lambda: print("Task executed")) while True:
schedule.run_pending()
time.sleep(1)

14. Network Speed Test

Measure internet speed.


from pyspeedtest import SpeedTest
st = SpeedTest()
print(f"Ping: {st.ping()}, Download: {st.download()}")

15. Text-to-Speech Converter

Turn text into audio.


import pyttsx3
engine = pyttsx3.init() engine.say("Hello, world!")
engine.runAndWait()

16. Password Generator

Create secure passwords.


import random, string
print(''.join(random.choices(string.ascii_letters + string.digits, k=12)))

17. Currency Converter

Convert currencies with real-time rates.

import requests
url = "https://api.exchangerate-api.com/v4/latest/USD" rates = requests.get(url).json()["rates"]
print(f"USD to INR: {rates['INR']}")

18. Automated Reminder

Pop up reminders at specific times.


from plyer import notification
notification.notify(title="Reminder", message="Take a break!", timeout=10)

Thursday, 30 January 2025

5 Python Tricks Everyone Must Know in 2025

 


5 Python Tricks Everyone Must Know in 2025

Python remains one of the most versatile and popular programming languages in 2025. Here are five essential Python tricks that can improve your code's efficiency, readability, and power. Let’s dive into each with a brief explanation!


1. Walrus Operator (:=)

The walrus operator allows assignment and evaluation in a single expression, simplifying code in scenarios like loops and conditionals.

Example:

data = [1, 2, 3, 4]
if (n := len(data)) > 3:
print(f"List has {n} items.") # Outputs: List has 4 items.

Why use it? It reduces redundancy by combining the assignment and the conditional logic, making your code cleaner and more concise.


2. F-Strings for Formatting

F-strings provide an easy and readable way to embed variables and expressions directly into strings. They're faster and more efficient than older formatting methods.

Example:

name, age = "John", 25
print(f"Hello, my name is {name} and I am {age} years old.") # Outputs: Hello, my name is John and I am 25 years old.

Why use it? F-strings improve readability, reduce errors, and allow inline expressions like {age + 1} for dynamic calculations.


3. Unpacking with the Asterisk (*)

Python's unpacking operator * allows you to unpack elements from lists, tuples, or even dictionaries. It's handy for dynamic and flexible coding.

Example:


numbers = [1, 2, 3, 4, 5]
first, *middle, last = numbers
print(first, middle, last) # Outputs: 1 [2, 3, 4] 5

Why use it? It’s useful for splitting or reorganizing data without manually slicing or indexing.


4. Using zip() to Combine Iterables

The zip() function pairs elements from multiple iterables, creating a powerful and intuitive way to process data in parallel.

Example:


names = ["Alice", "Bob", "Charlie"]
scores = [85, 90, 95] for name, score in zip(names, scores):
print(f"{name}: {score}")

Why use it? zip() saves time when dealing with parallel data structures, eliminating the need for manual indexing.


5. List Comprehensions for One-Liners

List comprehensions are a Pythonic way to generate or filter lists in a single line. They are concise, readable, and often faster than loops.

Example:


squares = [x**2 for x in range(10) if x % 2 == 0]
print(squares) # Outputs: [0, 4, 16, 36, 64]

Why use it? List comprehensions are efficient for processing collections and reduce the need for multi-line loops.


Conclusion:
These five Python tricks can help you write smarter, cleaner, and faster code in 2025. Mastering them will not only improve your productivity but also make your code more Pythonic and elegant. Which one is your favorite?

Python Coding Challange - Question With Answer(01300125)

 


Code Analysis:


class Number:
integers = [5, 6, 7] for i in integers: i * 2
print(Number.i)
  1. Defining the Number class:

    • The Number class is created, and a class-level attribute integers is defined as a list: [5, 6, 7].
  2. for loop inside the class body:

    • Inside the class body, a for loop iterates over each element in the integers list.
    • For each element i, the expression i * 2 is executed. However:
      • This operation (i * 2) does not store or assign the result anywhere.
      • It simply calculates the value but does not affect the class or create new attributes.
    • The variable i exists only within the scope of the for loop and is not stored as a class attribute.
  3. print(Number.i):
    • After the class definition, the code attempts to access Number.i.
    • Since the variable i was used only in the loop and was never defined as an attribute of the Number class, this will raise an AttributeError:
      python
      AttributeError: type object 'Number' has no attribute 'i'

Key Points:

  • Variables in a for loop inside a class body are temporary and are not automatically added as class attributes.
  • To make i an attribute of the class, you must explicitly assign it, like so:

    class Number:
    integers = [5, 6, 7] for i in integers: result = i * 2 # This only calculates the value last_value = i # Assigns the last value to a class attribute print(Number.last_value) # Outputs: 7
    Here, last_value would be accessible as an attribute of the class.

Wednesday, 29 January 2025

Python Brasil 2025: The Heartbeat of Python in South America

 


Calling all Python enthusiasts! Python Brasil 2025 is set to be the largest gathering of Python developers, educators, and enthusiasts in South America. Known for its vibrant community and warm hospitality, Brazil offers the perfect setting for this celebration of Python and innovation.

Event Details

  • DatesOctober 21–27, 2025

  • LocationSão Paulo, Brazil

  • Theme: "Python for Everyone"

  • Format: In-person with virtual participation options

Why Attend Python Brasil 2025?

Python Brasil is more than just a conference; it’s a movement that brings together a diverse and inclusive community. Here’s what you can look forward to:

1. Inspiring Keynotes

Hear from global and regional Python leaders as they discuss how Python is driving innovation in areas like data science, machine learning, web development, and more.

2. Informative Talks

Enjoy a wide array of sessions tailored for everyone from beginners to advanced developers. Topics include Python libraries, frameworks, community building, and best practices.

3. Practical Workshops

Enhance your Python skills with hands-on workshops that delve into everything from Django to data visualization and automation.

4. Networking Opportunities

Meet fellow Pythonistas from Brazil and beyond, exchange ideas, and build lasting professional connections.

5. Lightning Talks

Engage in rapid-fire presentations that showcase innovative projects and ideas from the community.

6. Sprints and Hackathons

Collaborate on open-source projects and work on Python-based solutions to real-world challenges.

Who Should Attend?

Python Brasil 2025 welcomes:

  • Developers eager to expand their knowledge and skills.

  • Educators passionate about teaching Python.

  • Students and Beginners starting their Python journey.

  • Tech Entrepreneurs looking for Python-powered solutions.

Registration and Tickets

Visit the official Python Brasil 2025 website ([https://www.python.org/events/]) for ticket information and registration. Early bird tickets are available, so secure your spot today!

Be a Part of Python Brasil

Contribute to the success of Python Brasil 2025 by:

  • Submitting a Talk Proposal: Share your expertise with the community.

  • Volunteering: Help ensure the event runs smoothly.

  • Sponsoring the Event: Highlight your organization’s support for the Python community.

Experience the Culture of Brazil

In addition to the conference, take the opportunity to explore Brazil’s rich culture, breathtaking landscapes, and world-famous cuisine. From lively cityscapes to serene beaches, Brazil has something for everyone.

Register : Python Brasil 2025

For live updates join : https://chat.whatsapp.com/JXqO91UlVJr6BKRZpTo4XG

Don’t Miss Out

Python Brasil 2025 is more than a conference—it’s a celebration of the Python community’s impact in Brazil and worldwide. Whether attending in person or virtually, you’ll leave inspired and connected.

Register now and join us in making Python Brasil 2025 an unforgettable experience. See you there!

PyCon Estonia 2025: A Python-Powered Gathering in the Digital Hub of Europe

 


Attention Pythonistas! PyCon Estonia 2025 is on its way, set to unite developers, educators, and tech enthusiasts in the heart of one of Europe’s most innovative digital nations. Known for its tech-forward culture, Estonia offers the perfect backdrop for this exciting celebration of Python.

Event Details

  • DatesOctober 2–3, 2025

  • LocationTallinn, Estonia

  • Theme: "Coding the Future"

  • Format: In-person with virtual attendance options

What Awaits You at PyCon Estonia 2025

PyCon Estonia promises a vibrant mix of technical sessions, hands-on workshops, and community events. Here’s what you can expect:

1. World-Class Keynotes

Be inspired by influential leaders from the Python community and beyond as they explore Python’s role in shaping the digital landscape.

2. Engaging Talks

Discover the latest Python advancements through a diverse range of talks. Topics will span AI, cybersecurity, web development, and Python’s role in the startup ecosystem.

3. Interactive Workshops

Roll up your sleeves and dive into workshops designed to build skills in Python programming, data analysis, and emerging technologies.

4. Community Connections

Network with Python enthusiasts from across the globe. Share ideas, collaborate on projects, and expand your professional network.

5. Lightning Talks and Panels

Enjoy fast-paced, thought-provoking presentations and interactive panel discussions that showcase the versatility of Python.

6. Open-Source Sprints

Join forces with fellow developers to contribute to open-source projects, giving back to the Python ecosystem.

Why Attend?

Whether you’re a seasoned developer, an educator, or someone new to Python, PyCon Estonia offers something for everyone:

  • Developers: Stay updated on Python trends and tools.

  • Entrepreneurs: Learn how Python powers innovation in startups.

  • Educators: Gain insights into Python’s applications in teaching.

  • Students: Kickstart your Python journey in a supportive community.

Registration and Tickets

Secure your spot today by visiting the official PyCon Estonia 2025 website ([https://www.python.org/events/]). Early bird tickets are available, so don’t delay!

Contribute to PyCon Estonia

Make PyCon Estonia 2025 even more special by:

  • Submitting a Proposal: Share your knowledge by delivering a talk or workshop.

  • Volunteering: Be part of the team that makes it all happen.

  • Sponsoring: Showcase your brand to a tech-savvy audience.

Discover Estonia

PyCon Estonia is not just about Python—it’s an opportunity to explore one of Europe’s most digitally advanced countries. Take some time to experience Estonia’s beautiful landscapes, historic architecture, and vibrant culture.

Register : PyCon Estonia 2025

For live updates join : https://chat.whatsapp.com/Bv8qampDyKJ0nzlR5RlzjW

Join Us at PyCon Estonia 2025

PyCon Estonia 2025 is more than a conference; it’s a celebration of Python and the vibrant community that surrounds it. Don’t miss this opportunity to learn, connect, and grow.

Register now and become a part of this remarkable event. See you in Estonia!

PyCon JP 2025: Embracing Python Innovation in Japan

 


Get ready, Python enthusiasts! PyCon JP 2025 is gearing up to bring together the brightest minds in the Python community in Japan. With its focus on innovation, collaboration, and cultural exchange, PyCon JP is the ultimate destination for Python developers, educators, and enthusiasts.

Event Details

  • DatesSeptember 26–27, 2025

  • LocationHiroshima, Japan

  • Theme: "Python for a Connected World"

  • Format: Hybrid (In-person and virtual attendance options)

Why Attend PyCon JP 2025?

PyCon JP is known for its engaging content and vibrant community spirit. Here’s what to expect:

1. Inspiring Keynotes

Hear from leading figures in the global Python community as they share insights on Python’s impact across industries and its role in shaping the future of technology.

2. Diverse Talks

From beginner-friendly tutorials to advanced technical sessions, the talks at PyCon JP will cover a wide range of topics, including AI, web development, data science, and more.

3. Practical Workshops

Learn by doing! Hands-on workshops will help attendees deepen their understanding of Python frameworks, tools, and libraries.

4. Community Networking

Meet Python developers from around the world, exchange ideas, and build connections that extend beyond the conference.

5. Lightning Talks

Quick, insightful presentations that spark ideas and showcase the creativity within the Python community.

6. Developer Sprints

Collaborate with fellow developers to contribute to open-source projects and give back to the Python ecosystem.

Who Should Attend?

  • Developers eager to stay updated on Python trends.

  • Educators looking for new ways to teach programming.

  • Students and Beginners keen to start their Python journey.

  • Business Leaders exploring Python’s applications in industry.

Registration and Tickets

Visit the official PyCon JP 2025 website ([https://www.python.org/events/]) for ticket information and registration details. Early bird discounts are available, so act fast!

Be a Part of PyCon JP

PyCon JP thrives on community participation. Here’s how you can get involved:

  • Submit a Proposal: Present your ideas by giving a talk or running a workshop.

  • Volunteer: Help make the event an unforgettable experience.

  • Sponsor the Event: Highlight your company’s role in the Python ecosystem.

Experience Japan’s Culture

Beyond the conference, PyCon JP 2025 offers a chance to explore Japan’s unique culture. Enjoy traditional cuisine, visit historic landmarks, and immerse yourself in the vibrant atmosphere of the host city.

Register : PyCon JP 2025

For live updates join : https://chat.whatsapp.com/C0kgrc7sypm8yu1YjpZ5zW

Don’t Miss Out

PyCon JP 2025 is more than a conference; it’s a celebration of Python and its community. Whether you’re attending in person or virtually, you’ll leave with new knowledge, connections, and inspiration.

Register today and join us in making PyCon JP 2025 an unforgettable experience. See you there!

PyCon UK 2025: Building Bridges in the Python Community

 


PyCon UK 2025: Building Bridges in the Python Community

Python enthusiasts, mark your calendars! PyCon UK 2025 is set to take place, bringing together developers, educators, and Python lovers from across the United Kingdom and beyond. With its rich lineup of talks, workshops, and community events, PyCon UK is more than a conference—it's a celebration of the Python ecosystem and the people who make it thrive.

Event Details

  • DatesSeptember 19–22, 2025

  • LocationManchester, United Kingdom

  • Theme: "Innovate, Educate, Collaborate"

  • Format: In-person and virtual attendance options

What to Expect at PyCon UK 2025

PyCon UK has built a reputation for being a welcoming, inclusive, and inspiring event. Here’s what you can look forward to this year:

1. Keynote Speakers

Gain insights from leading voices in the Python community and beyond. Keynote speakers will cover diverse topics, from Python’s role in AI and web development to its applications in education and research.

2. Informative Talks

A wide range of sessions will cater to all levels, from beginner tutorials to advanced technical deep dives. Expect discussions on Python’s latest features, best practices, and real-world applications.

3. Interactive Workshops

Get hands-on experience with Python frameworks, libraries, and tools. Workshops are designed to help attendees sharpen their skills in areas like data science, machine learning, and software development.

4. Networking and Community Building

Meet fellow Pythonistas, share experiences, and build lasting connections during social events, coffee breaks, and community meetups.

5. Education Track

Special sessions dedicated to Python in education will showcase how the language is being used to empower learners of all ages.

6. Developer Sprints

Contribute to open-source projects and collaborate with others in the Python community during the popular sprint sessions.

Who Should Attend?

  • Developers: Learn new skills and discover tools to enhance your work.

  • Educators: Explore how Python can be used to teach programming effectively.

  • Students and Beginners: Start your Python journey in a friendly and supportive environment.

  • Community Leaders: Share ideas and gain insights into building inclusive tech communities.

Registration and Tickets

Visit the official PyCon UK 2025 website ([https://www.python.org/events/]) to register. Early bird tickets are available, so don’t miss out!

Get Involved

PyCon UK is a community-driven event, and there are plenty of ways to contribute:

  • Submit a Talk or Workshop Proposal: Share your knowledge and experience.

  • Volunteer: Help make the event a success.

  • Sponsor the Conference: Showcase your organization’s commitment to Python and its community.

Explore the UK While You’re Here

PyCon UK isn’t just about Python—it’s also an opportunity to experience the history and culture of the UK. Take time to explore the host city, its landmarks, and its culinary delights.

Register : PyCon UK 2025

For live updates join : https://chat.whatsapp.com/DnUHvLFgFYBEv0sdMZzs2m

Join Us at PyCon UK 2025

Whether you're a seasoned developer, an educator, or someone just beginning their Python journey, PyCon UK 2025 has something for you. This conference is more than an event; it's a chance to learn, connect, and contribute to the vibrant Python community.

Don’t miss out on this exciting opportunity. Register today, and we’ll see you at PyCon UK 2025!

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