Cheat sheet about Python Tools: contains the main Python libraries and tools for data analysis, machine learning, visualization, working with databases, data engineering, computations, and neural networks
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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
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✅ https://t.iss.one/Codeprogrammer
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✨ Comments | Python Best Practices ✨
📖 Guidelines and best practices for writing useful and relevant comments in Python.
🏷️ #Python
📖 Guidelines and best practices for writing useful and relevant comments in Python.
🏷️ #Python
✨ Coding Style | Python Best Practices ✨
📖 Guidelines and best practices that will help you code like an expert Pythonista.
🏷️ #Python
📖 Guidelines and best practices that will help you code like an expert Pythonista.
🏷️ #Python
✨ Concurrency | Python Best Practices ✨
📖 Guidelines and best practices for writing concurrent code the right way in Python.
🏷️ #Python
📖 Guidelines and best practices for writing concurrent code the right way in Python.
🏷️ #Python
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✨ pre-commit | Python Tools ✨
📖 A multi-language framework that installs and runs code quality checks as Git hooks.
🏷️ #Python
📖 A multi-language framework that installs and runs code quality checks as Git hooks.
🏷️ #Python
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✨ Comprehensions | Python Best Practices ✨
📖 Guidelines and best practices for leveraging the power of Python comprehensions
🏷️ #Python
📖 Guidelines and best practices for leveraging the power of Python comprehensions
🏷️ #Python
✨ Conditionals | Python Best Practices ✨
📖 Guidelines and best practices for writing reliable conditionals and making decisions in your Python code.
🏷️ #Python
📖 Guidelines and best practices for writing reliable conditionals and making decisions in your Python code.
🏷️ #Python
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✨ Distribution | Python Best Practices ✨
📖 Guidelines and best practices for packaging, building, and distributing your Python projects.
🏷️ #Python
📖 Guidelines and best practices for packaging, building, and distributing your Python projects.
🏷️ #Python
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✨ Docstrings | Python Best Practices ✨
📖 Guidelines and best practices that will help you write good docstrings for your Python packages, modules, functions, and classes.
🏷️ #Python
📖 Guidelines and best practices that will help you write good docstrings for your Python packages, modules, functions, and classes.
🏷️ #Python
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OnSpace Mobile App builder: Build AI Apps in minutes
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
✔️ Create app or website by chatting with AI;
✔️ Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
✔️ Download APK,AAB file, publish to AppStore.
✔️ Add payments and monetize like in-app-purchase and Stripe.
✔️ Functional login & signup.
✔️ Database + dashboard in minutes.
✔️ Full tutorial on YouTube and within 1 day customer service
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
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Code With Python
OnSpace Mobile App builder: Build AI Apps in minutes Visit website: https://www.onspace.ai/?via=tg_datas Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish…
I recommend you to use this app for people who want to make software or apps faster
Just send an prompt you want and he will build the program for you
Just send an prompt you want and he will build the program for you
✨ Functions | Python Best Practices ✨
📖 Guidelines and best practices for writing robust functions in Python.
🏷️ #Python
📖 Guidelines and best practices for writing robust functions in Python.
🏷️ #Python
✨ Exception Handling | Python Best Practices ✨
📖 Guidelines and best practices for handling exceptions and errors in your Python code.
🏷️ #Python
📖 Guidelines and best practices for handling exceptions and errors in your Python code.
🏷️ #Python
Python Tip:
Note: no element will be returned until the predicate returns
Example:
https://t.iss.one/DataScience4🌟
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 FalseNote: no element will be returned until the predicate returns
False at least onceExample:
>>> 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.iss.one/DataScience4
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🚀 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.iss.one/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.iss.one/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.iss.one/DataScience4
🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.iss.one/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.iss.one/datasets1
🧑🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://t.iss.one/DataScienceC
😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://t.iss.one/DataScienceT
💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.iss.one/DataScience9
🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.iss.one/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.iss.one/DataScienceN
📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.iss.one/DataScienceV
📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://t.iss.one/DataAnalyticsX
🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://t.iss.one/Python53
⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://t.iss.one/DataScienceY
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Admin: @HusseinSheikho
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!
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.iss.one/CodeProgrammer
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.iss.one/DataScienceM
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.iss.one/DataScience4
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.iss.one/DataScienceQ
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.iss.one/datasets1
The first channel in Telegram that offers free Udemy coupons
https://t.iss.one/DataScienceC
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://t.iss.one/DataScienceT
An active community group for discussing data challenges and networking with peers.
https://t.iss.one/DataScience9
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.iss.one/PythonArab
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.iss.one/DataScienceN
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.iss.one/DataScienceV
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://t.iss.one/DataAnalyticsX
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://t.iss.one/Python53
Professional Academic Writing & Simulation Services
https://t.iss.one/DataScienceY
━━━━━━━━━━━━━━━━━━
Admin: @HusseinSheikho
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200$ to 20k$ SOL Challenge!
As promised, i will do another challenge for those who missed the previous one!
Last one we completed in 6 days, let’s do this one even quicker!
Join my free group Before closing 👇
https://t.iss.one/+DAKLP7eUy9Y3ZjY0
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As promised, i will do another challenge for those who missed the previous one!
Last one we completed in 6 days, let’s do this one even quicker!
Join my free group Before closing 👇
https://t.iss.one/+DAKLP7eUy9Y3ZjY0
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