Learn Python Coding

✨ Project Layout | Python Best Practices ✨

📖 Guidelines and best practices for structuring and organizing your Python projects effectively.

🏷️ #Python

✨ Public API Surface | Python Best Practices ✨

📖 Guidelines and recommendations for using public and non-public names in your Python code.

🏷️ #Python

👩‍💻 FREE 2026 IT Learning Kits Giveaway

🔥Whether you're preparing for #Cisco #AWS #PMP #Python #Excel #Google #Microsoft #AI or any other in-demand certification – SPOTO has got you covered!

🎁 Explore Our FREE Study Resources
·IT Certs E-book : https://bit.ly/3YvSMHL
·IT exams skill Test : https://bit.ly/4r4VHnd
·Python, ITIL, PMP, Excel, Cyber Security, cloud, SQL Courses : https://bit.ly/4qNWl8r
·Free AI online preparation material and support tools : https://bit.ly/4qKiKTN

🔗 Need IT Certs Exam Help？ contact: wa.link/dm4kyz
📲 Join IT Study Group for insider tips & expert support:
https://chat.whatsapp.com/BEQ9WrfLnpg1SgzGQw69oM

✨ Object Mutability | Python Best Practices ✨

📖 Guidelines and best practices that will help you use mutable and immutable data types in Python.

🏷️ #Python

✨ Loops | Python Best Practices ✨

📖 Guidelines and best practices for writing efficient and Pythonic loops.

🏷️ #Python

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/Codeprogrammer

✨ Code Formatting | Python Best Practices ✨

📖 Guidelines and best practices for formatting your Python code.

🏷️ #Python

✨ Generator Expressions | Python Best Practices ✨

📖 Guidelines and best practices for using generator expressions for memory-efficient data transformation.

🏷️ #Python

Master the os Library in Python

https://t.me/DataScience4

Python Tip:

Concatenating strings with += in a loop has a complexity of O(n²), because a new string is created with each addition.
Use join() — it gives O(n).

👉 @DataScience4

✨ Logging | Python Best Practices ✨

📖 Guidelines and best practices for logging in Python.

🏷️ #Python

✨ Imports | Python Best Practices ✨

📖 Guidelines and best practices for leveraging the power of the Python import system.

🏷️ #Python

A great app for building and programming desktop, Android, and Telegram bots using only prompts

Just send what you want and it will design everything for you and the possibility to make money from your app 👍

✨ Quiz: How to Convert Bytes to Strings in Python ✨

📖 Decode bytes into readable strings in Python. Test your skills working with data from files, APIs, and databases.

🏷️ #basics

✨ Quiz: How to Properly Indent Python Code ✨

📖 Practice proper Python indentation. Take a quiz on using spaces, editor settings, and autoformatting correctly.

🏷️ #basics #best-practices #python

🚀 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

Python Tip:

itertools.dropwhile skips elements of the sequence, until the condition returns True, and then returns the rest, starting from the first, for which the condition became False

Note: no element will be returned until the predicate returns False at least once

Example:

>>> import itertools
>>> purchase_price = 99.00
>>> daily_prices = [95, 97, 94, 96, 100, 102, 99]
>>> prices_after_gain = list(itertools.dropwhile(lambda price: price <= purchase_price, daily_prices))
prices_after_gain
[100, 102, 99]


https://t.me/DataScience4 🌟

✨ Exception Handling | Python Best Practices ✨

📖 Guidelines and best practices for handling exceptions and errors in your Python code.

🏷️ #Python

✨ Functions | Python Best Practices ✨

📖 Guidelines and best practices for writing robust functions in Python.

🏷️ #Python

Learn Python Coding pinned a video