51280
Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho
Python Data Visualization: Create impactful visuals, animations and dashboards [EN]
⚡ tags: #python #datascience #ai
🖥 By: /channel/Python53
⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
There is a repository on GitHub free-programming-books that contains over 4000 free books, 2000 courses, and other useful programming resources
For convenient searching, you can use this tool
This project is a vivid example of the power of the open source community, which evolved from a clone of a StackOverflow list into one of the most popular on GitHub ✌️
🔸 English-language version of the resources
👉 @codeprogrammer
⭐️ Hello my advertiser friend!
I’m Eng. Hussein Sheikho 👋 and I’m excited to share our special promotional offer with you! 🎯
💥 Promo Offer:
Promote your ad across all our listed channels for only $35! 💰
📢 We accept all types and formats of advertisements.
✅ Publishing Plan:
Your ad will be published for 20 days across all our channels,
plus it will be pinned for 7 days 🔝
🧑💻 For Programming Channel Owners Only:
Want your tech channel to grow fast? 🚀
You can add your channel to our promo folder for just $20/month —
average growth rate 2000+ subscribers/month 📈
📩 Contact me for more details:
👉 t.me/HusseinSheikho
🌱 Let’s grow together!
Our Share folder (our channels) 👇
/channel/addlist/8_rRW2scgfRhOTc0
👩💻 Course on Design Patterns in Python
What's inside?
A practical course on SOLID principles and design patterns in Python. Learn how to professionally design application architecture, refactor, and apply best development practices.
☄️ Top 12 YouTube Channels to Learn Python
💐 Python will include 57% of data scientist job ads in 2024 . It is still the number one programming language for data scientists.
✅ Now, if you are looking for the best resources to improve your Python skills, after searching and reviewing various resources, I have prepared a list of 12 top channels that provide first-class Python training, which can turn beginners into professional Python programmers. convert
🎬 Python Programmer channel
┤ 📈 211 videos / 465K SUB
┘ 🔴 Link: gilesmcmullen">Python Programmer
🎬 Luke Barousse channel
┤ 📈 157 videos / 429K SUB
┘ 🔴 Link: LukeBarousse">Luke Barousse
🎬 codebasics channel
┤ 📈 837 videos / 990K SUB
┘ 🔴 link: codebasics">codebasics
🎬 StatQuest channel with Josh Starmer
┤ 📈 271 videos / 1.14M SUB
┘ 🔴 Link: statquest">StatQuest with Josh Starmer
🎬 Sundas Khalid channel
┤ 📈 143 videos / 203K SUB
┘ 🔴 Link: SundasKhalid">Sundas Khalid
🎬 Shashank Kalanithi channel
┤ 📈 152 videos / 148K SUB
┘ 🔴 Link: ShashankData">Shashank Kalanithi
🎬 Programming with Mosh channel
┤ 📈 203 videos / 3.85M SUB
┘ 🔴 Link: programmingwithmosh">Programming with Mosh
🎬 Corey Schafer channel
┤ 📈 233 videos / 129K SUB
┘ 🔴 Link: coreyms">Corey Schafer
🎬 sentdex channel
┤ 📈 1254 videos / 1.3M SUB
┘ 🔴 link: sentdex">sentdex
🎬 Patrick Loeber channel
┤ 📈 206 videos / 264K SUB
┘ 🔴 Link: patloeber">Patrick Loeber
🎬 Socratica channel
┤ 📈 659 videos / 876K SUB
┘ 🔴 Link: Socratica">Socratica
🎬 Tech With Tim channel
┤ 📈 983 videos / 1.48M SUB
┘ 🔴 Link: TechWithTim">Tech With Tim
😠 More likes 😠 ➡️ more posts
✈️ http://t.me/codeprogrammer ✅
🐍 How to run a FastAPI application in a Docker container
🖥 By: /channel/Python53
⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
Cyber Security Full course in 8 hours
✅ By: /channel/Python53
Human Activity Recognition using TensorFlow (CNN + LSTM) | 2 Methods
🖥 By: /channel/Python53
⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
📌 Extracting Structured Vehicle Data from Images
🗂 Category:
🕒 Date: 2025-01-27 | ⏱️ Read time: 10 min read
Build an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API,…
This GitHub repository is a real treasure trove of free programming books.
Here you'll find hundreds of books on topics like #AI, #blockchain, app development, #game development, #Python #webdevelopment, #promptengineering, and many more ✋
GitHub: https://github.com/EbookFoundation/free-programming-books
/channel/CodeProgrammer ⭐
Today I am 3️⃣0️⃣ years old, I am excited to make more successes and achievements
My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward
Best regards
Eng. @HusseinSheikho 🔤
Full course available here
/channel/+r_Tcx2c-oVU1OWNi
07. Databases in Python & Milestone Project 2
Читать полностью…
🙏💸 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! 🙏💸
Join our channel today for free! Tomorrow it will cost 500$!
/channel/+Cl8uwGkD0l5lMGNl
You can join at this link! 👆👇
/channel/+Cl8uwGkD0l5lMGNl
Python Data Visualization: Create impactful visuals, animations and dashboards [EN]
What you will learn :
The Sneak Peek program provides early access to Pearson video courses, allowing subscribers to study materials as they are being developed. Content can be updated throughout the entire creation cycle, including editing and post-production.
⚡ tags: #python #datascience
🖥 By: /channel/Python53
⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
Free MIT course for beginners on the basics of computer science. These classic lectures cover concepts such as programming language design, abstraction, and recursion.
🔸 link: https://bit.ly/46zVDEy
👉 @python53
🇸🇾 Course on Design Patterns in Python
⚡ tags: #python
🖥 By: /channel/Python53
⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
🌟 Join @DeepLearning_ai & @MachineLearning_Programming! 🌟
Explore AI, ML, Data Science, and Computer Vision with us. 🚀
💡 Stay Updated: Latest trends & tutorials.
🌐 Grow Your Network: Engage with experts.
📈 Boost Your Career: Unlock tech mastery.
Subscribe Now!
➡️ @DeepLearning_ai
➡️ @MachineLearning_Programming
Step into the future—today! ✨
🖥 What’s New in Python 3.14 and Why You Should Upgrade
Python 3.14 was released on October 7, 2025. This is a new stable release that includes changes in the language itself as well as improvements in implementation, standard library, debugging, and multithreading interaction.
Below is an overview of key innovations, their meaning, applicability, and possible pitfalls.
🟠Main Innovations (Release highlights)
- Deferred (lazy) evaluation of annotations — now annotations are not evaluated immediately, reducing overhead.
- Support for multiple interpreters within a single process via a new module.
- New syntax for template strings (t-strings), giving more control over static and interpolated parts.
- More informative error messages (e.g., hints for typos in keywords).
- Support for Zstandard compression format in the standard library.
- Improved debugging and profiling capabilities, including attaching to a live process without stopping it.
- Enhancements in asyncio — commands for visualizing and diagnosing tasks, wait stacks, and dependencies.
- Reduced garbage collector (gc) pauses via incremental collection.
- Syntax highlighting and module autocompletion in interactive mode (REPL) by default.
🟠 Details and Examples
Deferred evaluation of annotations
Previously, annotations (for types, documentation, hints) could trigger computations immediately when defining a function or class. Now they are stored as "lazy" structures and evaluated on demand. This reduces overhead on code loading, especially if annotations are complex or contain many forward references.
There is a module annotationlib that allows programmatic inspection of annotations and choosing their retrieval format — strings, objects, or deferred references.
When this is especially helpful:
- large frameworks, code generation, ORM, libraries with many annotations;
- speeding up imports at application startup;
- reducing overhead when working with types.
What to check when migrating:
- code that uses __annotations__ directly may require adaptation;
- ensure third-party libraries working with annotations support the new format.
Multiple interpreters (subinterpreters)
Now Python can run multiple independent interpreters inside a single process (module concurrent.interpreters).
Advantages:
- isolation between interpreters (separate memory, separate GIL);
- parallelism on multi-core systems;
- less overhead than using multiprocessing.
Limitations:
- not all C extensions support multi-interpretation;
- communication between interpreters requires explicit channels (queues, messages).
This provides a real opportunity for CPU task parallelization without launching separate processes.
Template string literals (t-strings)
A new syntactic feature — prefix t before a string, similar to f'...'.
The result is a Template object that stores text and insertions separately.
variety = 'Stilton'
template = t'Try some {variety} cheese!'
📺 12 comprehensive playlists to master
⬅️ machine learning, deep learning, and GenAI!
👨🏻💻 Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics.
😉 Machine Learning Basics (39 videos)
😉 Python for ML (9 videos)
😉 Optimization for ML (5 videos)
😉 Machine Learning with Practical Exercises (37 videos)
😉 Building Decision Trees from Scratch (13 videos)
😉 Building Neural Networks from Scratch (35 videos)
😉 Graph Neural Networks (6 videos)
😉 Computer Vision from Scratch (19 videos)
😉 Building LLM from Scratch (43 videos)
😉 Reasoning in LLMs from Scratch (22 videos)
😉 Building DeepSeek from Scratch (29 videos)
😉 Machine Learning in Production Environment (6 videos)
🌐 #Data_Science #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖➖
/channel/CodeProgrammer ❤️
🔅 Docker Tutorial For Beginners - How To Containerize Python Applications
In this Docker Tutorial I show how to get started with Docker for your Python Scripts and Python Web Apps. We look at two different...
✅ By: /channel/Python53
LIST OF OUR CHANNELS HERE
Big surprise in our channels on Discord
https://discord.gg/PGZku7DrSz
🔔 Subscribe now
Boost your learning journey🚀
Found a free platform where you can study any topics in the form of knowledge maps. Build your own routes, visualize connections between concepts, and enhance what interests you the most. #python
Try it here: https://learn-anything.xyz/
👉 @python53
Our paid channel contains more than 9000 books and 500 paid courses
With a $3 monthly subscription, you can cancel whenever you want
/channel/+r_Tcx2c-oVU1OWNi
Big surprise in our channels on Discord
https://discord.gg/PGZku7DrSz
Send unlimited SMS and Text Messages using Excel!
#ExcelAutomation #SendSMS #ExcelHacks #TextMessaging #ExcelWithVBA #SMSTool #ExcelProductivity #BulkSMS #ExcelIntegration #ExcelTips
✉️ Our Telegram channels: /channel/addlist/0f6vfFbEMdAwODBkЧитать полностью…
📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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
✅ /channel/addlist/8_rRW2scgfRhOTc0
✅ /channel/Codeprogrammer