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@eyobcodes · channel · indexed since 2026-07-22
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🔥 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 Upgrade your career with one of the most in-demand tech skills of 2026! ✔ Artificial Intelligence ✔ Machine Learning ✔ Python for Data Science ✔ Real-World Projects 🎓 Get Certified & Build Your Tech Career 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇 :-  https://pdlink.in/4qHVFkI 🚀 Perfect for Students ,Freshers & Working Professionals
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Rust free courses and learning materials Non-Video tutorials: Rust Tutorial by University of Virginia (cs4414 Spring 2014.) Authors: Alex Lamana, Rob Michaels, Wil Thomason, and David Evans for http://aml3.github.io/RustTutorial/html/toc.html 24daysofrust by Zbigniew Siciarz http://zsiciarz.github.io/24daysofrust/index.html Introduction to Rust Tutorial by CoderHQ https://www.koderhq.com/tutorial/rust/#tutorial-list Take your first steps with Rust by Microsoft ⏰ 5 hr 31 min 📚 11 Modules https://docs.microsoft.com/en-us/learn/paths/rust-first-steps/
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🎯 7 best YouTube channels to learn AI from scratch 👇 1/ DeepLearning AI: https://www.youtube.com/c/DeepLearningAI 2/ Krish Naik: https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig 3/ StatQuest with Josh Starmer: https://www.youtube.com/c/joshstarmer 4/ 3Blue1Brown: https://www.youtube.com/c/3blue1brown 5/ FreeCodeCamp https://www.youtube.com/c/Freecodecamp 6/ Yannic Kilcher: https://www.youtube.com/c/YannicKilcher 7/ IBM Technology: https://www.youtube.com/c/IBMTechnology
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A lot of folks on X have been asking how I’m shipping every day… this is how I get ideas btw 👉👈 @selfmadecoder
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Harvard University offers a ton of FREE online courses. From Computer Science to Artificial Intelligence. Here are 10 FREE courses you don't want to miss 1. Introduction to Computer Science An introduction to the intellectual enterprises of computer science and the art of programming. Check here 👇 https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0 2. Web Programming with Python and JavaScript This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap. Check here 👇 https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0 3. Introduction to Programming with Scratch A gentle introduction to programming that prepares you for subsequent courses in coding. Check here 👇 https://pll.harvard.edu/course/cs50s-introduction-programming-scratch?delta=0 4. Introduction to Programming with Python An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more. Check here 👇 https://edx.org/course/cs50s-introduction-to-programming-with-python 5. Understanding Technology This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons. Check here 👇 https://pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0 6. Introduction to Artificial Intelligence with Python Learn to use machine learning in Python in this introductory course on artificial intelligence. Check here 👇 https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0 7. Introduction to Game Development Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more. Check here 👇 https://pll.harvard.edu/course/cs50s-introduction-game-development?delta=0 8. CS50's Computer Science for Business Profes
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Artificial Neural Networks with Java - 2019.pdf · 12.1 MB · click to show
Artificial Neural Networks with Java Igor Livshin, 2019
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Machine Learning in Microservices - 2023.pdf · 12.4 MB · click to show
Machine Learning in Microservices Mohamed Abouahmed, 2023
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Software Engineer Company: Tholons Inc. “Software Developer – Python & AI Agent Development (Entry-Level). We are seeking a highly skilled Python Developer specializing in AI agent architecture to drive immediate innovation. You will lead... ” - Experience level: Entry-Level Source: josad_software #software #engineer #AI #Python #LinkedIn
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Get 6 months of Claude Code for free 🚀 Anthropic has launched a limited offer where you can access Claude Max, worth $1200, at no cost. You'll get: ✅ 6 months free access ✅ Up to 20x higher usage limits ✅ Faster responses ✅ Access to the most advanced Claude models Just fill out a simple form to get started 👇 https://claude.com/contact-sales/claude-for-oss
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🛠 DAILY DEV COMMANDS CHEAT SHEET # ============================================ # Start / Stop # ============================================ docker compose up # Start all services (foreground) docker compose up -d # Start in background docker compose down # Stop all services docker compose down -v # Stop + delete volumes (fresh DB) docker compose restart web # Restart specific service # ============================================ # Logs # ============================================ docker compose logs -f web # Follow web logs docker compose logs -f # Follow all logs docker compose logs --tail 100 web # Last 100 lines # ============================================ # Django Commands # ============================================ docker compose exec web uv run python manage.py shell docker compose exec web uv run python manage.py makemigrations docker compose exec web uv run python manage.py migrate docker compose exec web uv run python manage.py createsuperuser docker compose exec web uv run python manage.py test # ============================================ # Database # ============================================ docker compose exec db psql -U postgres -d habsify_db # Then: \dt (list tables), \q (quit) # ============================================ # Container Shell # ============================================ docker compose exec web bash # Get into web container docker compose exec db bash # Get into postgres container # ============================================ # Status # ============================================ docker compose ps # See running containers docker compose top # See processes in containers # ============================================ # Clean Slate # ============================================ docker compose down -v # Delete everything docker system prune -a # Delete unused i
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Python Strings Strings are used to store text data in Python. A string is a sequence of characters enclosed in single quotes or double quotes. name = "Python" message = 'Hello World' 1. Basic Syntax  Strings can be created using single or double quotes. name = "Alex" city = 'Mumbai' Both are valid strings. 2. Access Characters using Indexing  Each character has an index starting from 0. text = "Python" print(text[0]) print(text[3]) Output:  P  h Negative indexing starts from the end. print(text[-1]) Output:  n 3. String Slicing  Extract part of a string using slicing. text = "Python" print(text[0:3]) print(text[2:6]) Output:  Pyt  thon 4. String Length  Use len() to find the number of characters. text = "Python" print(len(text)) Output:  6 5. Convert Case  text = "Python Programming" print(text.upper()) print(text.lower()) print(text.title()) Output:  PYTHON PROGRAMMING  python programming  Python Programming 6. Remove Spaces  Use strip() to remove leading and trailing spaces. text = " Python " print(text.strip()) Output:  Python 7. Replace Text  text = "I love Java" print(text.replace("Java", "Python")) Output:  I love Python 8. Split a String  Convert a string into a list. text = "Python SQL Excel" print(text.split()) Output:  ['Python', 'SQL', 'Excel'] 9. Join Strings  Join list elements into a single string. words = ["Python", "SQL", "Excel"] print(" | ".join(words)) Output:  Python | SQL | Excel 10. Check String Methods text = "Python" print(text.startswith("Py")) print(text.endswith("on")) print("th" in text) Output:  True  True  True 11. String Concatenation  Combine multiple strings using +. first = "Hello" second = "World" print(first + " " + second) Output:  Hello World 12. f-Strings Recommended  The easiest way to format strings. name = "Alex" age = 25 print(f"My name is {name} and I am {age} years old.") Output:  My name is Alex and I am 25 years old. Note:
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35 free courses for you: 🎓 Data Science: Machine Learning 🤖 Link: https://lnkd.in/gUNVYgGB Introduction to computer science 💻 Link: https://lnkd.in/gR66-htH Introduction to programming with scratch 🧩 Link: https://lnkd.in/gBDUf_Wx Computer science for business professionals 💼 Link: https://lnkd.in/g8gQ6N-H How to conduct and write a literature review 📝 Link: https://lnkd.in/gsh63GET Software Construction 🛠 Link: https://lnkd.in/ghtwpNFJ Machine Learning with Python: from linear models to deep learning 🐍🧠 Link: https://lnkd.in/g_T7tAdm Startup Success: How to launch a technology company in 6 steps 🚀 Link: https://lnkd.in/gN3-_Utz Data analysis: statistical modeling and computation in applications 📊 Link: https://lnkd.in/gCeihcZN The art and science of searching in systematic reviews 🔎 Link: https://lnkd.in/giFW5q4y Introduction to conducting systematic review 📋 Link: https://lnkd.in/g6EEgCkW Introduction to computer science and programming using python 🖥 Link: https://lnkd.in/gwhMpWck Introduction to computational thinking and data science 💡 Link: https://lnkd.in/gfjuDp5y Becoming an Entrepreneur 💸 Link: https://lnkd.in/gqkYmVAW High-dimensional data analysis 📈 Link: https://lnkd.in/gv9RV9Zc Statistics and R 📉 Link: https://lnkd.in/gUY3jd8v Conduct a literature review 📚 Link: https://lnkd.in/g4au3w2j Systematic Literature Review: An Introduction 🧐 Link: https://lnkd.in/gVwGAzzY Introduction to systematic review and meta-analysis 🧮 Link: https://lnkd.in/gnpN9ivf Creating a systematic literature review ✍️ Link: https://lnkd.in/gbevCuy6 Systematic reviews and meta-analysis 📊 Link: https://lnkd.in/ggnNeX5j Research methodologies 🕵️‍♂️ Link: https://lnkd.in/gqh3VKCC Quantitative and Qualitative research for beginners 📊💬 Link: https://shorturl.at/uNT58 Writing case studies: science of delivery 📑 Link: https://shorturl.at/ejnMY research methodology: complete research project blueprint 🗺 Link: https://lnkd.in/gFU8Nbrv How to write a successful research paper 📜 Link: https://
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