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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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:

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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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.

# 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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✅ 13 courses live + 40+ coming soon
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