Code With Python – Telegram
Code With Python
38.9K subscribers
824 photos
24 videos
22 files
740 links
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.
Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
A collection of useful built-in Python functions that most juniors haven't touched

1️⃣ all and any: a mini rule engine
— all(iterable) returns True if all elements are true
— any(iterable) returns True if at least one is true
Example:
password = "P@ssw0rd123"
checks = [
    len(password) >= 8,
    any(c.isdigit() for c in password),
    any(c.isupper() for c in password),
]

if all(checks):
    print("password is ok")

— You can quickly build readable policy checks without a forest of ifs

2️⃣ enumerate: a handy counter instead of manual indexing
Instead of for i in range(len(list)):
users = ["alice", "bob", "charlie"]
for idx, user in enumerate(users, start=1):
    print(idx, user)

— You get both the index and the value at once. Less chance to shoot yourself in the foot with off-by-one errors

3️⃣ zip: linking multiple sequences
names  = ["alice", "bob", "charlie"]
scores = [10, 20, 15]
for name, score in zip(names, scores):
    print(name, score)

— You can glue several lists into one stream of tuples, do parallel iteration, nicely combine data without manual indices

4️⃣ reversed: reverse without copying
data = [1, 2, 3, 4]
for x in reversed(data):
    print(x)

reversed returns an iterator, not a new list, which is convenient when you don't want to allocate extra memory

5️⃣ set and frozenset: uniqueness and fast lookup
items = ["a", "b", "a", "c"]
unique = set(items)  # {'a', 'b', 'c'}
if "b" in unique:
    ...

— A great way to kill duplicates and speed up membership checks, plus frozenset is hashable

👩‍💻 @DataScience4
Please open Telegram to view this post
VIEW IN TELEGRAM
13
Sphinx | Python Tools

📖 A documentation generator for Python.

🏷️ #Python
6
🐍 Fun Illustration of Python List Methods 🎯

https://news.1rj.ru/str/DataScience4
Please open Telegram to view this post
VIEW IN TELEGRAM
6👏4
I'm pleased to invite you to join my private Signal group.

All my resources will be free and unrestricted there. My goal is to build a clean community exclusively for smart programmers, and I believe Signal is the most suitable platform for this (Signal is the second most popular app after WhatsApp in the US), making it particularly suitable for us as programmers.

https://signal.group/#CjQKIPcpEqLQow53AG7RHjeVk-4sc1TFxyym3r0gQQzV-OPpEhCPw_-kRmJ8LlC13l0WiEfp
Conda | Python Tools

📖 A cross-platform package and environment manager for Python.

🏷️ #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://news.1rj.ru/str/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://news.1rj.ru/str/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://news.1rj.ru/str/DataScience4

🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://news.1rj.ru/str/DataScienceQ

💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://news.1rj.ru/str/datasets1

🧑‍🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://news.1rj.ru/str/DataScienceC

😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://news.1rj.ru/str/DataScienceT

💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://news.1rj.ru/str/DataScience9

🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://news.1rj.ru/str/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://news.1rj.ru/str/DataScienceN

📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://news.1rj.ru/str/DataScienceV

📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://news.1rj.ru/str/DataAnalyticsX

🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://news.1rj.ru/str/Python53

⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://news.1rj.ru/str/DataScienceY

━━━━━━━━━━━━━━━━━━
Admin: @HusseinSheikho
Please open Telegram to view this post
VIEW IN TELEGRAM
6
setuptools | Python Tools

📖 A packaging library and build backend for Python.

🏷️ #Python
Quiz: Python Inner Functions: What Are They Good For?

📖 Test inner functions, closures, nonlocal, and decorators in Python. Build confidence and learn to keep state across calls. Try the quiz now.

🏷️ #intermediate #python
❗️LISA HELPS EVERYONE EARN MONEY!$29,000 HE'S GIVING AWAY TODAY!

Everyone can join his channel and make money! He gives away from $200 to $5.000 every day in his channel

https://news.1rj.ru/str/+YDWOxSLvMfQ2MGNi

⚡️FREE ONLY FOR THE FIRST 500 SUBSCRIBERS! FURTHER ENTRY IS PAID! 👆👇

https://news.1rj.ru/str/+YDWOxSLvMfQ2MGNi
1
Python Inner Functions: What Are They Good For?

📖 Learn how to create inner functions in Python to access nonlocal names, build stateful closures, and create decorators.

🏷️ #intermediate #python
1👎1
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://news.1rj.ru/str/addlist/8_rRW2scgfRhOTc0

https://news.1rj.ru/str/Codeprogrammer
Please open Telegram to view this post
VIEW IN TELEGRAM
2
abstract method | Python Glossary

📖 A method that is marked with @abstractmethod.

🏷️ #Python
dependency | Python Glossary

📖 An external package that your project needs in order to run, build, or be developed.

🏷️ #Python
Git | Python Tools

📖 A distributed version control system.

🏷️ #Python
An incredibly short book, but with a deep analysis of the internal mechanisms of Python, which we use every day. ❤️

Each chapter contains an explanation of a specific language feature, such as working with *args/**kwargs, mutable arguments, generators, decorators, context managers, enumerate/zip, exceptions, dunder methods, and other clever constructs.

Link: https://book.pythontips.com/en/latest/

👉 @DataScience4
Please open Telegram to view this post
VIEW IN TELEGRAM
7
flake8 | Python Tools

📖 A command-line Python linter.

🏷️ #Python
Please open Telegram to view this post
VIEW IN TELEGRAM
6
pytest | Python Tools

📖 A test runner and framework for Python.

🏷️ #Python
Pylint | Python Tools

📖 A static code checker for Python.

🏷️ #Python
Quiz: Writing DataFrame-Agnostic Python Code With Narwhals

📖 If you're a Python library developer wondering how to write DataFrame-agnostic code, the Narwhals library is the solution you're looking for.

🏷️ #advanced #data-science #python
1