✨ token | AI Coding Glossary ✨
📖 A minimal unit of text used by NLP systems and language models.
🏷️ #Python
📖 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
📖 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.
👉 @DataScience4
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
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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
📖 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
📖 A scalar objective that measures prediction error and shapes gradients to guide model training.
🏷️ #Python
✨ convolutional network | AI Coding Glossary ✨
📖 A neural network that uses local receptive fields and shared weights to process structured signals such as images.
🏷️ #Python
📖 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
📖 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
📖 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
📖 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
📖 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
📖 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
📖 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
📖 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
📖 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
tags: #interview #python #magicmethods #classes
➡️ @DataScienceQ 🤎
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
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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
📖 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
✨ Topic: Data Structures ✨
📖 Learn about Python's built-in data structures and how to implement abstract structures like stacks, queues, hash tables, etc. Understanding these will enhance your problem-solving skills in Python and equip you with additional tools in your Python tool belt.
🏷️ #39_resources
📖 Learn about Python's built-in data structures and how to implement abstract structures like stacks, queues, hash tables, etc. Understanding these will enhance your problem-solving skills in Python and equip you with additional tools in your Python tool belt.
🏷️ #39_resources
✨ Topic: Python Community Articles ✨
📖 Get to know your fellow coders through Python community articles and interviews. Dive into the Python community. This will connect you with the broader Python community, opening opportunities for collaboration and learning.
🏷️ #106_resources
📖 Get to know your fellow coders through Python community articles and interviews. Dive into the Python community. This will connect you with the broader Python community, opening opportunities for collaboration and learning.
🏷️ #106_resources