Niggabytes
Slowly but surely, I am making my way up the leetcode ladder. I'd say my progress is pretty much on par with what I expected and I am understanding the problems well. The reason I decided to share this here is because I was talking to some friends who feel…
Well said. We all feel 'slow' when we're actually growing. Don't compare your chapter 1 to someone else's chapter 10, esp when half of people online are exaggerating anyway. Hard work is quiet and slow. If you're struggling, you're exactly where you need to be.
@R0bstack
❤3
Rob Stack
Well said. We all feel 'slow' when we're actually growing. Don't compare your chapter 1 to someone else's chapter 10, esp when half of people online are exaggerating anyway. Hard work is quiet and slow. If you're struggling, you're exactly where you need…
Thanks @niggabyte43 for bringing this up🤓
Uni really shows you how wild some lecturers can be. 😭 Our DSA lecturer had three months to teach us the curriculum, but instead, he waited until the final week to dump
@R0bstack
trees, graph and advanced Algos on us in a single morning. May God fix the part of their brain that thinks this is okay.@R0bstack
😭10
Forwarded from AASTU CSC (Lahi)
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Do you have experience in cybersecurity, web development, or related fields? We invite you to be a part of our vibrant community dedicated to exploring the latest trends, sharing knowledge, and collaborating on exciting projects!
What We’re Looking For:
We are seeking enthusiastic students who are eager to learn, share their expertise, and contribute to our club's activities.
Fields of Interest:
• Cybersecurity: Help us explore the ever-evolving landscape of digital security and share best practices.
• Web Development: Collaborate on projects, learn new frameworks, and enhance your coding skills.
• Other Tech Areas: If you have experience in data science, AI, app development, or any other tech-related field.
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To become a member of our club, please fill out the registration form linked below. Your information will help us tailor our activities to your interests and skills.
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Forwarded from Mr. SeeFun.Dev (Sifen)
⚡2
2025 was cool, achieved some of my goals but can't say it was my best year yet. I meam there were some wins, but still, i don't feel like it was my year.
This year am all in. Improving myself and showing up every single day 2026 is gonna be my year, i promise you guys😎🔥
@R0bstack
This year am all in. Improving myself and showing up every single day 2026 is gonna be my year, i promise you guys😎🔥
@R0bstack
🔥6
We were having a football tournament within the software sections, and today was the final. Our opponents were full of fans and we didn't want to embarrass them in front of their fans, so as you can guess, we gave them the win😎
It's a better way to start the year by giving 😇
@R0bstack
It's a better way to start the year by giving 😇
@R0bstack
😁10👏1
Did you know there is a website called isitnewyearsday.com what it does is displays YES if it is New Year's Day (today) and NO for the rest of the year 😃
@R0bstack
@R0bstack
Forwarded from Edemy
From our last live session, some of you asked me about book recommendations for Python & AI. Here are some books you can check out:
Python Programming (Fundamentals)
1. Automate the Boring Stuff with Python – Al Sweigart
✔ Best for beginners who want practical Python skills fast
✔ Focuses on real automation tasks, great for scripting & data work
2. Python Crash Course – Eric Matthes
✔ Clear introduction with hands-on projects
✔ One of the best first Python books
3. Fluent Python – Luciano Ramalho
✔ For intermediate to advanced developers
✔ Learn to write clean, efficient, idiomatic Python
Machine Learning & AI
4. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow – Aurélien Géron
✔ Practical ML + deep learning with real code
✔ Suitable for beginner → intermediate level
5. Python Machine Learning – Sebastian Raschka & Vahid Mirjalili
✔ Covers classic ML and deep learning
✔ Strong balance between theory and practice
6. Introduction to Machine Learning with Python – Andreas Müller & Sarah Guido
✔ Beginner-friendly entry into machine learning
✔ Strong focus on scikit-learn
Deep Learning (Neural Networks & Modern AI)
7. Deep Learning with Python – François Chollet
✔ Written by the creator of Keras
✔ Highly praised for clarity and practical explanations
8. Deep Learning – Ian Goodfellow, Yoshua Bengio & Aaron Courville
✔ Classic deep learning textbook
✔ Widely used in universities and research
Advanced Books
✔ Pattern Recognition and Machine Learning – Christopher Bishop
✔ The Hundred-Page Machine Learning Book – Andriy Burkov
✔ Deep Reinforcement Learning Hands-On – Maxim Lapan
Start with Python → ML → Deep Learning
Read + code (projects matter more than pages)
Use Jupyter / Colab to practice alongside
@edemy251
Python Programming (Fundamentals)
1. Automate the Boring Stuff with Python – Al Sweigart
✔ Best for beginners who want practical Python skills fast
✔ Focuses on real automation tasks, great for scripting & data work
2. Python Crash Course – Eric Matthes
✔ Clear introduction with hands-on projects
✔ One of the best first Python books
3. Fluent Python – Luciano Ramalho
✔ For intermediate to advanced developers
✔ Learn to write clean, efficient, idiomatic Python
Machine Learning & AI
4. Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow – Aurélien Géron
✔ Practical ML + deep learning with real code
✔ Suitable for beginner → intermediate level
5. Python Machine Learning – Sebastian Raschka & Vahid Mirjalili
✔ Covers classic ML and deep learning
✔ Strong balance between theory and practice
6. Introduction to Machine Learning with Python – Andreas Müller & Sarah Guido
✔ Beginner-friendly entry into machine learning
✔ Strong focus on scikit-learn
Deep Learning (Neural Networks & Modern AI)
7. Deep Learning with Python – François Chollet
✔ Written by the creator of Keras
✔ Highly praised for clarity and practical explanations
8. Deep Learning – Ian Goodfellow, Yoshua Bengio & Aaron Courville
✔ Classic deep learning textbook
✔ Widely used in universities and research
Advanced Books
✔ Pattern Recognition and Machine Learning – Christopher Bishop
✔ The Hundred-Page Machine Learning Book – Andriy Burkov
✔ Deep Reinforcement Learning Hands-On – Maxim Lapan
Start with Python → ML → Deep Learning
Read + code (projects matter more than pages)
Use Jupyter / Colab to practice alongside
@edemy251