50 Common Mistakes most developers make while starting out

A thread🧵👇

⚡️1. Focusing on completing courses instead of coding (or completing projects) .

⚡️2. Skipping the fundamentals.

⚡️3. Not joining a developer community.

⚡️4. Not creating projects from scratch.

⚡️5. Skipping Data Structures.
⚡️6. Not reading the documentation.

⚡️7. Trying to learn everything in one day.

⚡️8. Blindly following the tutorial and not extending the code or making their own version of code.

⚡️9. Not asking for help when needed.

⚡️10. Never commenting the code (In required places).
⚡️11. Endlessly Planning instead of Building.

⚡️12. Learning different technologies instead of mastering one.

⚡️13. Not reading stuff (books/articles/documentation).

⚡️14. Not maintaining a balance between programming and not programming.

⚡️15. Not finishing what they started
⚡️16. Not building stuff they care about.

⚡️17. Getting overwhelmed by others' progress/headstart

⚡️18. Not knowing when to quite and start over.

⚡️19. Not practising enough.

⚡️20. Endlessly buying Udemy courses.
⚡️21. Not trying new stuff (frameworks etc).

⚡️22. Not sleeping enough.

⚡️23. Getting addicted to caffeine.

⚡️24. Being afraid to experimentation.

⚡️25. Letting Impostor syndrome take over.
⚡️26. Overworking.

⚡️27. Sacrificing Social life.

⚡️28. Rushing through a problem/course/book/project

⚡️29. Not being curious.

⚡️30. Sacrificing Mental Health.
⚡️31. Not having fun.

⚡️32. Getting stuck on one technology because of stubbornness.

⚡️33. Lacking self motivation.

⚡️34. Not talking to other developers.

⚡️35. Quiting after failing.
⚡️36. Not building personal projects.

⚡️37. Not showing your projects to others.

⚡️38. Not asking others for feedback.

⚡️39. Trying to learn everything at once.

⚡️40. Blindly following others advise without researching on your own.
⚡️41. Not having a strategy.

⚡️42. Waiting until everything is perfect.

⚡️43. Not learning from one's mistakes.

⚡️44. Feeling dumb.

⚡️45. Comparing yourself to others.
⚡️46. Not reading theory.

⚡️47. Not maintaining a balance in life.

⚡️48. Being a perfectionist.(Conditions apply)

⚡️49. Not accepting uncertainty.

⚡️50. Not finding mentors/dev friends

Don't make these mistakes.
Happy Coding ♥️🧑‍💻👨‍💻👩‍💻
I am soo sorry everyone😆

Btw follow me for more programming experience/content⚡️
https://t.co/jYdLWemPhu

More from Nirbhay Vashisht

Want to learn JavaScript ?

Here's a Detailed Roadmap for you 🧵👇

1. Start with
https://t.co/LUATAaPiaW's - JavaScript Algorithms and Data Structures Certification and finish the "Basic JavaScript" module.

You'll get a basic understanding of JavaScript and Programming in general.


2. Move to https://t.co/ZDqK2dT8Iz and complete the following parts:
- An Introduction
- JavaScript Fundamentals
You'll start to understand Basic JavaScript concepts and their details.


3. Complete "Objects: the basics" section in https://t.co/ZDqK2dT8Iz

By this point you'll have a decent understanding of JavaScript Objects

4. Time to return to freeCodeCamp. Finish the following sections:
1. Debugging
2. Basic Data Structure

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When the university starts sending out teaching evaluation reminders, I tell all my classes about bias in teaching evals, with links to the evidence. Here's a version of the email I send, in case anyone else wants to poach from it.

1/16


When I say "anyone": needless to say, the people who are benefitting from the bias (like me) are the ones who should helping to correct it. Men in math, this is your job! Of course, it should also be dealt with at the institutional level, not just ad hoc.
OK, on to my email:
2/16

"You may have received automated reminders about course evals this fall. I encourage you to fill the evals out. I'd be particularly grateful for written feedback about what worked for you in the class, what was difficult, & how you ultimately spent your time for this class.

3/16

However, I don't feel comfortable just sending you an email saying: "please take the time to evaluate me". I do think student evaluations of teachers can be valuable: I have made changes to my teaching style as a direct result of comments from student teaching evaluations.
4/16

But teaching evaluations have a weakness: they are not an unbiased estimator of teaching quality. There is strong evidence that teaching evals tend to favour men over women, and that teaching evals tend to favour white instructors over non-white instructors.
5/16

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