Tech Talks by Her on Instagram: "🚀 Want to build a strong foundation in computer science but don’t know where to start? Harvard’s CS50 course is one of the best free ways to do it! 💻 This course doesn’t just teach you to code — it helps you think like a programmer. ✅ Covers C, Python, algorithms, and data structures ✅ Taught with simple, relatable examples ✅ Builds real problem-solving skills — not just syntax memorization If you’re a beginner or even a mid-level developer who wants to refresh
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Instagramtechtalksbyher
Tech Talks by Her on Instagram: "🚀 Want to build a strong foundation in computer science but don’t know where to start? Harvard’s CS50 course is one of the best free ways to
8 likes, 0 comments - techtalksbyher on October 4, 2025: "🚀 Want to build a strong foundation in computer science but don’t know where to start?Harvard’s CS50 course is one of the best free ways to do it! 💻This course doesn’t just teach you to code — it helps you think like a programmer. Covers C, Python, algorithms, and data ...
已浏览 494 次1 周前
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CS50 Fall 2025 - Lecture 1 - C (live, unedited)
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CS50 Fall 2025 - Lecture 1 - C (live, unedited)
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Harvard CS50 (2023) – Full Computer Science University Course
25:51:23
Harvard CS50 (2023) – Full Computer Science University Course
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CS50x 2024 - Lecture 1 - C
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CS50x 2024 - Lecture 1 - C
YouTubeCS50
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Arsh Goyal on Instagram: "If I were starting AI engineering today from scratch with zero knowledge, here’s my roadmap: 1. Learn Python basics - don’t need to master it, just enough. 2. Get familiar with fundamentals (Harvard’s CS50 or any YouTube playlist). 3. Learn tools like GitHub, VS Code, and Jupyter Notebooks. 4. Study ML basics (Andrew Ng’s course) and build projects - classification, regression - deploy on Streamlit. 5. Dive into deep learning - train models on Hugging Face. 6. Understan
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Arsh Goyal on Instagram: "If I were starting AI engineering today from scratch with zero knowledge, here’s my roadmap: 1. Learn Python basics - don’t need to master it, just enough. 2. Get familiar with fundamentals (Harvard’s CS50 or any YouTube playlist). 3. Learn tools like GitHub, VS Code, and Jupyter Notebooks. 4. Study ML basics (Andrew Ng’s course) and build projects - classification, regression - deploy on Streamlit. 5. Dive into deep learning - train models on Hugging Face. 6. Understan
Instagramarshgoyalyt
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CS50 Projects
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CS50 PSet 10 - Final Project Walkthrough (Step by Step for Beginners)
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CS50 Final Project | Full Walkthrough & Demo by Sobhan Mridha
YouTubeTANVIR MRIDHA
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Developing Your Project Locally with VS Code (Mac) - CS50 Seminars 2021
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Developing Your Project Locally with VS Code (Mac) - CS50 Seminars 2021
YouTubeCS50
已浏览 2.4万 次2021年11月18日