📂 Reminder on Python set — set methods!
For example,
In the picture — the main methods and operations for working with set: addition, removal, union, intersection, difference, and set checks.
Save it to not lose it!
#Python #SetMethods #Coding #DataScience #Programming #HelloEncyclo
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For example,
add() adds an element to the set, update() combines several elements, and intersection() helps quickly find common values between data sets.In the picture — the main methods and operations for working with set: addition, removal, union, intersection, difference, and set checks.
Save it to not lose it!
#Python #SetMethods #Coding #DataScience #Programming #HelloEncyclo
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10 GitHub Repositories for Web Development in Python 🐍
Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces. 🔥
https://www.kdnuggets.com/10-github-repositories-for-web-development-in-python
#Python #WebDevelopment #GitHub #Coding #API #Tech
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Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces. 🔥
https://www.kdnuggets.com/10-github-repositories-for-web-development-in-python
#Python #WebDevelopment #GitHub #Coding #API #Tech
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Guessing numbers
This project for beginners in Python is a fun game that generates a random number (within a certain range) that the user must guess after receiving hints.
For each incorrect guess, the user receives additional hints, but at the cost of reducing their overall score.
💡🐍🎮 #Python #Coding #Beginners #Game #Learning #Tech
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This project for beginners in Python is a fun game that generates a random number (within a certain range) that the user must guess after receiving hints.
For each incorrect guess, the user receives additional hints, but at the cost of reducing their overall score.
💡🐍🎮 #Python #Coding #Beginners #Game #Learning #Tech
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❤2
Forwarded from Machine Learning with Python
I often see people say that it's impossible to enter the IT field without expensive courses.
However, there's a huge amount of high-quality materials available for free:
📚 Computer Science
https://github.com/ossu/computer-science
📚 Data Structures & Algorithms
https://github.com/jwasham/coding-interview-university
📚 System Design
https://github.com/donnemartin/system-design-primer
📚 Web Development
https://github.com/TheOdinProject/curriculum
📚 Frontend / Backend / DevOps / Cloud
https://github.com/kamranahmedse/developer-roadmap
📚 Data Engineering
https://github.com/DataTalksClub/data-engineering-zoomcamp
📚 Machine Learning & AI
https://github.com/microsoft/ML-For-Beginners
📚 MLOps
https://github.com/DataTalksClub/mlops-zoomcamp
📚 Cybersecurity
https://github.com/OWASP/CheatSheetSeries
📚 Linux
https://github.com/trimstray/the-book-of-secret-knowledge
📚 Free Programming Books
https://github.com/EbookFoundation/free-programming-books
If you have internet and a bit of free time, you can learn computer science, algorithms, system design, DevOps, clouds, security, and machine learning for free.
The problem now isn't a lack of information. The problem is regularly opening these repositories and actually working on them.
#FreeLearning #ITCareer #CodingResources #TechEducation #OpenSource #DevCommunity
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👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO
However, there's a huge amount of high-quality materials available for free:
📚 Computer Science
https://github.com/ossu/computer-science
📚 Data Structures & Algorithms
https://github.com/jwasham/coding-interview-university
📚 System Design
https://github.com/donnemartin/system-design-primer
📚 Web Development
https://github.com/TheOdinProject/curriculum
📚 Frontend / Backend / DevOps / Cloud
https://github.com/kamranahmedse/developer-roadmap
📚 Data Engineering
https://github.com/DataTalksClub/data-engineering-zoomcamp
📚 Machine Learning & AI
https://github.com/microsoft/ML-For-Beginners
📚 MLOps
https://github.com/DataTalksClub/mlops-zoomcamp
📚 Cybersecurity
https://github.com/OWASP/CheatSheetSeries
📚 Linux
https://github.com/trimstray/the-book-of-secret-knowledge
📚 Free Programming Books
https://github.com/EbookFoundation/free-programming-books
If you have internet and a bit of free time, you can learn computer science, algorithms, system design, DevOps, clouds, security, and machine learning for free.
The problem now isn't a lack of information. The problem is regularly opening these repositories and actually working on them.
#FreeLearning #ITCareer #CodingResources #TechEducation #OpenSource #DevCommunity
✨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO
GitHub
GitHub - ossu/computer-science: 🎓 Path to a free self-taught education in Computer Science!
🎓 Path to a free self-taught education in Computer Science! - ossu/computer-science
❤1
How to create an object from a dictionary with dot access — without classes and dataclasses?
When you're working with JSON, configurations, or APIs, constant access via dict['key'] clutters the code and worsens readability:
SimpleNamespace gives the same result, but with dot access:
In this case, the object remains dynamic, and you can add fields:
However, the keys must be valid attribute names, and this only works for flat dictionaries (nesting is not converted).
🔥Convenient for prototyping, testing, and simple data.
#Python #DataStructures #SimpleNamespace #CodingTips #DevTools #Programming
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When you're working with JSON, configurations, or APIs, constant access via dict['key'] clutters the code and worsens readability:
data = {"host": "localhost", "port": 5432}
data["host"]SimpleNamespace gives the same result, but with dot access:
cfg = SimpleNamespace(**data)
print(cfg.host)
In this case, the object remains dynamic, and you can add fields:
cfg.debug = True
However, the keys must be valid attribute names, and this only works for flat dictionaries (nesting is not converted).
🔥Convenient for prototyping, testing, and simple data.
#Python #DataStructures #SimpleNamespace #CodingTips #DevTools #Programming
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❤3
What are lambda functions in Python?
Lambda functions — are anonymous functions, which are created using the lambda keyword. They can accept any number of arguments, but contain only one expression, the result of which is automatically returned.
They are most often used for short operations, for example during sorting, filtering or data processing.
#Python #LambdaFunctions #DataScience #Coding #Programming #TechTips
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Lambda functions — are anonymous functions, which are created using the lambda keyword. They can accept any number of arguments, but contain only one expression, the result of which is automatically returned.
They are most often used for short operations, for example during sorting, filtering or data processing.
# Example:
sorted_data = sorted(data, key=lambda x: x[1])
filtered_data = list(filter(lambda x: x > 0, numbers))
#Python #LambdaFunctions #DataScience #Coding #Programming #TechTips
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Telegram
AI PYTHON 🌟
You’ve been invited to add the folder “AI PYTHON 🌟”, which includes 14 chats.
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