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gd night dev🫠

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What a day 😊😊😊praise God #kingdomsound

 Hi kidus, 👋 Welcome to this week's edition of Mosh Bytes, your weekly dose of programming goodness! Today, let’s chat about the challenges of self-learning. Being a self-taught programmer has its perks, but it also comes with obstacles. Don’t worry, I’ve got some tips to help you tackle these challenges. Self-Learning Challenges Too Many Resources: With so many books, tutorials, and courses out there, it can be overwhelming to figure out where to start and what to trust. No Structure: Without a structured curriculum, it’s easy to get lost and struggle to stay on track. Many end up in tutorial hell, jumping from one tutorial to the next without mastering the material. Staying Motivated: It’s tough to stay motivated without deadlines and accountability. Procrastination can become your biggest enemy. Course Overload: Platforms like Udemy often promote longer courses as they seem to offer more value for money, but most people don’t complete them and constantly jump from one course to another without learning anything. Limited Feedback: Learning on your own means missing out on valuable feedback and code reviews that can help you improve. Feeling Isolated: Solo learning can be lonely, missing out on the collaborative environment that traditional education provides. Knowledge Gaps: Without guidance, it’s easy to miss important foundational concepts and end up with gaps in your knowledge. My Self-Learning Hacks Start with a Roadmap: Check out my roadmaps, which are very structured, practical, and include realistic timelines for learning each skill. If you can't find what you're looking for there, roadmap.sh also offers detailed guides on various career paths.  Set Goals and Deadlines: Break down your learning into manageable chunks and set specific goals and deadlines to stay focused and motivated. Join Learning Communities: Platforms like StackOverflow and Reddit’s programming communities are great places to start. If you're taking any of my courses, be sure to join our forum and get active! Seek Feedback: Share your code on StackOverflow or GitHub and ask for feedback. Participating in open-source projects on GitHub can also provide valuable feedback from experienced developers. Find a Mentor: A mentor can provide guidance, accountability, and valuable insights. Look for experienced professionals willing to help you on your journey. You can find a mentor on websites like MentorCruise and CodingCoach. Build Real Projects: Apply what you’ve learned by working on real projects. This will help solidify your knowledge and give you something tangible to showcase to potential employers. Share your projects on GitHub or Devpost. Stay Consistent: Consistency is key. Make it a habit to code every day, even if it’s just a little each day. Tools like Habitica can gamify your learning process and help you stay consistent. WEEKLY CHALLENGE This week's challenge is a popular interview question at FAANG companies: write a function to find the first non-repeated character in a string. Check out this video for an in-depth explanation of the problem. Stuck on the solution? Check out the solution video here. This is part of my Data Structures & Algorithms course. As a Mosh Bytes reader, you can grab the full course with a huge discount using the coupon code MOSHBYTES.  WEEKLY WISDOM Treat code reviews as opportunities to improve, not as personal attacks. #mosh amedani @code_it_now

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😊hello

Gd night dev 😴😴😴

Check it 1. classcentral.com free courses to learn 2. kashipara.com free programming projects with source code 3. cosmolearning.org online learning and download pdfs 4. wormhole.app share up to 10GB files online 5. wolframalpha.com problem solver 6. bigthink.com best online learning sites for students 7. gradecalculator.mes.fm/ grade calculator 8. litsolutions.org Step by step Textbook solutions. @code_it_now

Intro to GitHub Copilot in Visual Studio https://www.youtube.com/watch?v=z1ycDvspv8U

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10 Python Libraries Every Data Scientist Should Know https://www.kdnuggets.com/10-python-libraries-every-data-scientist-should-know