So What’s With the Salary Gap?
The Truth About Starting Out
Most people spend way too much time thinking about where to start and whether they are doing it wrong. But all they really need to do is begin.
Programming is just a way to tell the computer exactly what to do in a language it understands. You cannot tell it something vague like add these numbers. It needs very specific instructions.
Getting stuck at the beginning is completely normal. The biggest mistake people make is not starting at all.
Use Cheat Sheets to Stay Sane
At the beginning, remembering every piece of syntax can feel like too much. A cheat sheet makes it easier. You do not have to memorize everything. Just keep the basics nearby while coding.
And this works for any language or tech. It saves time, keeps things simple, and helps you build real understanding without pressure.
Setting Up Environment Should Not Be a Nightmare
A lot of beginners give up because they cannot set up the environment. If the code just does not run, it gets really frustrating.
That is why using an online editor like Replit can help. It works on your phone and removes all the setup issues. Sure, it is not the same as using a laptop, but something is better than nothing.
Planning code during travel or on the go becomes possible. And yes, it may not feel as good as typing on a big screen, but it works.
Forget the AI Panic and Just Learn
AI is everywhere now. But that does not mean it is the end of programming jobs. AI entering a field does not mean humans are no longer needed.
If you have decided to learn coding, do not let fear stop you. Excuses and worries will only slow you down.
What really matters now is staying consistent.
The 20 Day Rule That Actually Works
Here is a small trick. Do something for 20 days and it starts becoming a habit.
Like going to the gym or taking a walk in the morning. Most people do not enjoy the first few days. But around the 21st day, not doing it feels odd. That is when you start enjoying it.
Apply that to coding. Just stick to it for 20 days. Do not think too much. Don’t worry about AI or salaries or whether everything is perfect. Just give 20 days of full focus and things will start to click.
Build Small Projects and Push Them to GitHub
Once the basics are clear, build small projects. Try things like a Snake Water Gun game or a simple calculator. Something that takes input and gives output.
And do not feel weird about uploading small things to GitHub. That habit is important. It helps you stay organized and gives you something to look back on later.
Plus, it teaches you to treat every small bit of work like progress.
It Is Okay to Take Breaks Just Do Not Quit
You do not need to complete all 100 days of code perfectly. Life is busy. Things happen.
If you miss a few days, that is totally fine. Missing two to four days is way better than giving up completely. Give yourself time and just aim to finish the journey.
Try Different Styles If Something Is Not Clicking
Sometimes a course just does not work for you. Maybe the teaching style or the language is not helping. That is normal.
If a Hindi explanation is not working, try one in English. The goal is to understand. Not to stick with something just because you started it.
Trying a different style is not quitting. It is actually a smart move.
Tools That Make Things Easier
Use something like Replit if your computer is not that great. Install a coding app on your phone. Just make sure you have a way to code easily.
Also, learn Git and GitHub. You do not need to go deep. Just learn how to push code. That alone makes a big difference.
Once you are deeper into the journey, maybe after 50 days, you can explore tools like GitHub Copilot for suggestions. But only after building a solid base first.
Bringing It All Together
Start coding. Keep a cheat sheet. Stick to the 20 day habit. Upload your code. Take breaks when needed. Try a different method if something is not working.
Learning Python is not about being perfect. It is about showing up and moving forward one step at a time. That is how real progress happens.
