Learn Python Coding

⚠ Message was hidden by channel owner

Python Cheat Sheet: Beginner to Expert Guide This #Python cheat sheet covers basics to advanced concepts, regex, list slicing, loops and more. Perfect for quick reference and enhancing your coding skills. Read: https://www.almabetter.com/bytes/cheat-sheet/python

✨ Quiz: Build Your Weekly Python Study Schedule: 7 Days to Consistent Progress ✨ 📖 Build a consistent Python study habit with a repeatable 7-day plan. Learn to set specific goals, schedule your week, and make practice stick. 🏷️ #basics #career

✨ Quiz: Spyder: Your IDE for Data Science Development in Python ✨ 📖 Test your knowledge of the Spyder IDE for Python data science, including its Variable Explorer, Plots pane, and Profiler. 🏷️ #basics #data-science #tools

⚠ Message was hidden by channel owner

✨ Quiz: Python Stacks, Queues, and Priority Queues in Practice ✨ 📖 Test your knowledge of stacks, queues, deques, and priority queues with practical questions and Python coding exercises. 🏷️ #intermediate #algorithms #data-structures

✨ MLflow | AI Coding Tools ✨ 📖 An open-source platform for managing the machine learning lifecycle, including experiment tracking, model packaging, registry management, and GenAI observability. 🏷️ #Python

⚠ Message was hidden by channel owner

✨ Python Gains frozendict and Other Python News for March 2026 ✨ 📖 Catch up on the latest Python news: frozendict joins the built-ins, Django patches SQL injections, and AI SDKs race to add WebSocket transport. 🏷️ #community #news

✨ Quiz: How to Use Git: A Beginner's Guide ✨ 📖 Test your knowledge of Git basics: initializing repos, staging files, committing snapshots, and managing your project history. 🏷️ #basics #devops

🚀 Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today! 🔰 Machine Learning with Python Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. https://t.me/CodeProgrammer 🔖 Machine Learning Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications. https://t.me/DataScienceM 🧠 Code With Python 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. https://t.me/DataScience4 🎯 PyData Careers | Quiz Python Data Science jobs, interview tips, and career insights for aspiring professionals. https://t.me/DataScienceQ 💾 Kaggle Data Hub Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects. https://t.me/datasets1 🧑‍🎓 Udemy Coupons | Courses The first channel in Telegram that offers free Udemy coupons https://t.me/DataScienceC 😀 ML Research Hub Advancing research in Machine Learning – practical insights, tools, and techniques for researchers. https://t.me/DataScienceT 💬 Data Science Chat An active community group for discussing data challenges and networking with peers. https://t.me/DataScience9 🐍 Python Arab| بايثون عربي The largest Arabic-speaking group for Python developers to share knowledge and help. https://t.me/PythonArab 🖊 Data Science Jupyter Notebooks Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN 📺 Free Online Courses | Videos Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners. https://t.me/DataScienceV 📈 Data Analytics Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. https://t.me/DataAnalyticsX 🎧 Learn Python Hub Master Python with step-by-step courses – from basics to advanced projects and practical applications. https://t.me/Python53 ⭐️ Research Papers Professional Academic Writing & Simulation Services https://t.me/DataScienceY ━━━━━━━━━━━━━━━━━━ Admin: @HusseinSheikho

✨ Quiz: How to Use the OpenRouter API to Access Multiple AI Models via Python ✨ 📖 Test your Python skills with OpenRouter: learn unified API access, model switching, provider routing, and fallback strategies. 🏷️ #intermediate #ai #api

✨ bdb | Python Standard Library ✨ 📖 A Python standard library module that provides a generic debugger framework for setting breakpoints, stepping through code, and managing trace events. 🏷️ #Python

Over 20 free courses are now available on our channel for a very limited time. https://t.me/DataScienceC

⚠ Message was hidden by channel owner

✨ Quiz: Automate Python Data Analysis With YData Profiling ✨ 📖 Test your knowledge of YData Profiling, including report creation, customization, performance optimization, time series analysis, and comparisons. 🏷️ #intermediate #data-science #data-viz

✨ Quiz: Duck Typing in Python: Writing Flexible and Decoupled Code ✨ 📖 Check your grasp of Python's duck typing. Recognize behavior-based interfaces, use protocols and special methods, and know alternatives. Try the quiz. 🏷️ #intermediate #python

✨ base64 | Python Standard Library ✨ 📖 A Python standard library module for encoding binary data as ASCII text using Base16, Base32, Base64, and Base85 schemes. 🏷️ #Python

✨ How to Use Git: A Beginner's Guide ✨ 📖 Learn how to track your code with Git using clear, step-by-step instructions. Use this guide as a reference for managing projects with version control. 🏷️ #basics #devops

Absolute value (module) of a number Let's say you have a negative number and you want to get its absolute value. For this, you can use the abs() function. The abs() function returns the absolute value of any number (positive, negative, and complex). Below is shown how to get a list of absolute values from a list that contains both negative and positive numbers. We use list comprehension.

list1 = [-12, -45, -67, -89, 34, 67, -13]

print([abs(num) for num in list1])

[12, 45, 67, 89, 34, 67, 13] Also, abs() can be applied to a floating-point number, and it will return the absolute value. See below:

num = -23.12

print(abs(num))

23.12 ➡️ Using the math module If you need more advanced mathematical functions, you can use fabs() from the math module. This function always returns a float.

import math

num = -23.12
absolute_value = math.fabs(num)
absolute_value

23.12 ➡️ Using a lambda function You can also use lambda to turn a negative number into its absolute value. The code below checks if x is less than zero (that is, if it's a negative value). If so, it returns -x, essentially removing the minus and making the number positive. If x is not negative (greater than or equal to 0), it returns x as it is.

num = -23.12
absolute_value = (lambda x: -x if x < 0 else x)(num)
absolute_value

23.12