π 7 Best Websites to Learn Computer Science Subjects for Free
Struggling with subjects like DSA, DBMS, OS or Computer Networks? These free resources can make learning much easier
1. GeeksforGeeks π§βπ»
β’ DSA, DBMS, OS, CN and more
β’ Notes, articles, problems and tutorials
π https://www.geeksforgeeks.org/
2. freeCodeCamp π
β’ Programming, web development, Python and more
β’ Free courses with hands-on learning
π https://www.freecodecamp.org/
3. CS50 by Harvard π§
β’ Excellent introduction to computer science
β’ Covers programming, algorithms, memory, databases and more
π https://cs50.harvard.edu/
4. Neso Academy π
β’ Detailed lectures on OS, CN, DBMS, DSA and other CSE subjects
β’ Great for concept-based learning
π https://www.youtube.com/@nesoacademy
5. W3Schools π
β’ Learn HTML, CSS, JavaScript, SQL, Python and more
β’ Simple explanations with interactive examples
π https://www.w3schools.com/
6. MIT OpenCourseWare π
β’ University-level computer science courses
β’ Lectures, assignments and study material
π https://ocw.mit.edu/
7. roadmap.sh πΊ
β’ Structured roadmaps for different tech careers
β’ Useful for planning what to learn next
π https://roadmap.sh/
πΎ Save this list for your next semester
Struggling with subjects like DSA, DBMS, OS or Computer Networks? These free resources can make learning much easier
1. GeeksforGeeks π§βπ»
β’ DSA, DBMS, OS, CN and more
β’ Notes, articles, problems and tutorials
π https://www.geeksforgeeks.org/
2. freeCodeCamp π
β’ Programming, web development, Python and more
β’ Free courses with hands-on learning
π https://www.freecodecamp.org/
3. CS50 by Harvard π§
β’ Excellent introduction to computer science
β’ Covers programming, algorithms, memory, databases and more
π https://cs50.harvard.edu/
4. Neso Academy π
β’ Detailed lectures on OS, CN, DBMS, DSA and other CSE subjects
β’ Great for concept-based learning
π https://www.youtube.com/@nesoacademy
5. W3Schools π
β’ Learn HTML, CSS, JavaScript, SQL, Python and more
β’ Simple explanations with interactive examples
π https://www.w3schools.com/
6. MIT OpenCourseWare π
β’ University-level computer science courses
β’ Lectures, assignments and study material
π https://ocw.mit.edu/
7. roadmap.sh πΊ
β’ Structured roadmaps for different tech careers
β’ Useful for planning what to learn next
π https://roadmap.sh/
πΎ Save this list for your next semester
GeeksforGeeks
Your All-in-One Learning Portal. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
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Forwarded from Learn Python Coding
Here's a small fact about Python π
The
It was introduced in Python 3.8 and allows you to assign a value to a variable and use it directly within the expression at the same time.
For example:
Without it, you would have to retrieve the value separately using
Have you ever used the
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The
:= operator is called the "walrus" because the symbols resemble the eyes and tusks of a walrus π¦It was introduced in Python 3.8 and allows you to assign a value to a variable and use it directly within the expression at the same time.
For example:
while (line := input("Say something: ")) != "quit":
print(f"You said: {line}")Without it, you would have to retrieve the value separately using
input(), and then check it.Have you ever used the
:= operator in your code?#Python #Programming #WalrusOperator #Coding #TechFacts #Python3
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OpenAI researcher Alice Liu went through 57 interviews before being hired, and then openly shared her entire preparation and job search journey.
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You can use her notes directly, or simply use the list of topics to study them yourself. This kind of information is rarely published.
Notes on LLMs:
https://alisawuffles.notion.site/alisa-s-book-of-llms
Mathematics:
https://alisawuffles.notion.site/math-notes
Analysis of the job search and interview process:
https://alisawuffles.github.io/blog/job-search/
https://t.iss.one/MachineLearning9π«
If you're preparing for Research Scientist or MTS positions, this is one of the most comprehensive resources available.
You can use her notes directly, or simply use the list of topics to study them yourself. This kind of information is rarely published.
Notes on LLMs:
https://alisawuffles.notion.site/alisa-s-book-of-llms
Mathematics:
https://alisawuffles.notion.site/math-notes
Analysis of the job search and interview process:
https://alisawuffles.github.io/blog/job-search/
https://t.iss.one/MachineLearning9
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Automate face detection, recognition, and analysis of key facial landmarks with the Uniface Python library.
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Automate face detection, recognition, and analysis of key facial landmarks with the Uniface Python library.
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π "A Little Book on the Fundamentals of Generative AI" - an intuitive introduction to the mathematics:
arxiv.org/pdf/2605.29713
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