Code With Python – Telegram
Code With Python
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This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
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context window | AI Coding Glossary

📖 The maximum span of tokens that a language model can consider at once.

🏷️ #Python
token | AI Coding Glossary

📖 A minimal unit of text used by NLP systems and language models.

🏷️ #Python
When Should You Use .__repr__() vs .__str__() in Python?

📖 Find out when to choose Python's __repr__() vs __str__() in your classes so your objects show helpful information for debugging and user output.

🏷️ #intermediate #best-practices
4
Clean code tip in Python:

Avoid naive datetime objects — always use those that consider the time zone.

Work with them in UTC, and show the user only in their local timezone.

import datetime
from zoneinfo import ZoneInfo

# BAD
now = datetime.datetime.now()

print(now.isoformat())
# 2025-10-21T15:03:07.332217

# GOOD
now = datetime.datetime.now(tz=ZoneInfo("UTC"))
print(now.isoformat())
# 2025-10-21T12:04:22.573590+00:00

print(now.astimezone().isoformat())
# 2025-10-21T15:04:22.573590+03:00


👉  @DataScience4
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What Can I Do With Python?

📖 Learn how Python builds software, powers AI, automates tasks, and drives robotics. Discover tools and projects to guide your programming journey.

🏷️ #basics #career
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reinforcement learning | AI Coding Glossary

📖 A learning approach where an agent improves decisions by interacting with an environment and maximizing cumulative reward.

🏷️ #Python
loss function | AI Coding Glossary

📖 A scalar objective that measures prediction error and shapes gradients to guide model training.

🏷️ #Python
Quiz: What Can I Do With Python?

📖 Test your knowledge of what Python can and can't do, from web and GUI apps to data science, CLI tools, and embedded systems.

🏷️ #basics #career
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convolutional network | AI Coding Glossary

📖 A neural network that uses local receptive fields and shared weights to process structured signals such as images.

🏷️ #Python
parameter | AI Coding Glossary

📖 A learned internal value of a model, such as a weight or bias.

🏷️ #Python
Topic: Python Game Development

📖 Build games using Python! Gain practical experience through tutorials and courses that cover libraries such as pygame and Arcade. Work with these resources to create engaging games using Python.

🏷️ #18_resources
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Topic: Front-end Web Development Tutorials

📖 Learn to make Python Web applications more user-friendly by leveraging the power of front-end and back-end technologies. These skills will enable you to create engaging and interactive web applications.

🏷️ #26_resources
Topic: Flask Tutorials

📖 Explore Flask, a popular Python web framework, through these tutorials. Learn key aspects of Flask development. With this knowledge, you'll be able to create robust and scalable web applications using Flask.

🏷️ #26_resources
natural language processing (NLP) | AI Coding Glossary

📖 A field of computer science and artificial intelligence that enables computers to analyze, interpret, generate, and interact with human language in text and speech.

🏷️ #Python
function calling | AI Coding Glossary

📖 A model feature that lets the model choose a tool and emit JSON arguments so your app runs the API call and returns results.

🏷️ #Python
Topic: Editors & IDEs

📖 Discover popular and niche editors and integrated development environments (IDEs) for Python. Learn about new tools or delve deeper into your favorite editor. This knowledge will streamline your Python development process.

🏷️ #21_resources
Topic: Python DevOps Tutorials

📖 Explore Python as a tool for development and operations (DevOps) tasks. This knowledge will allow you to streamline the process of application development, deployment, and monitoring.

🏷️ #30_resources
Forwarded from PyData Careers
Interview Question

What is the difference between __str__ and __repr__ methods in Python classes, and when would you implementstr
__str__ returns a human-readable string representation of an object (e.g., via print(obj)), making it user-friendly for displayrepr__repr__ aims for a more detailed, unambiguous string that's ideally executable as code (like repr(obj)), useful for debugging—imstr __str__ for end-user outrepr__repr__ for developer tools or str __str__ is defined.

tags: #interview #python #magicmethods #classes

➡️ @DataScienceQ 🤎
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Topic: Python Data Visualization

📖 Learn to create data visualizations using Python in these tutorials. Explore various libraries and use them to communicate your data visually with Python. By mastering data visualization, you can effectively present complex data in an understandable format.

🏷️ #25_resources