Here are 10 Beginner Python Projects from which you should start.

Before you build any project, learn the basics
If you don't learn the basics, you'll build on a shaky foundation.

πŸ§΅πŸ‘‡
Here are some beginner-friendly projects for you to work on:

- Odd or even
- Mad Lib Generator
- Password Generator
- Biography info
- Digital Clock
- Quiz
- What's my Acronym
- Desktop Message Notifier
- Quote Bot
- Email slicer
1. Odd or Even

When the user gives you the number, you check if it's odd or even and then you print a message letting them know.

Here is the Sample Code πŸ‘‡
2. Mad Lib Generator

This could be anything such as a name, an adjective, a pronoun, or even an action. Once you get the input, you can rearrange it to build up your own story.

Here is the Sample Code πŸ‘‡
3. Password Generator

Create a Simple Python program that can generate a simple password for you.

Here is the Sample Code πŸ‘‡
4. Biography Info

Ask a user for their personal information one question at a time. Then, print a summary of all the information they entered back to them.

Here is the Sample Code πŸ‘‡
5. Digital Clock

Create a Digital Clock that Shows real Time.

Here is the Sample Code πŸ‘‡
6. Quiz

Ask 4 Questions to the user and Calculate the Percentage at the end.

Here is Sample Code πŸ‘‡
7. What's my Acronym?

Ask the user to enter the full meaning of an organization or concept and you'll provide the acronym to the user.

Here is the Sample Code πŸ‘‡
8. Desktop Message Notifier

You can make Digital Clock using *Python.

Make sure to give it a try!
See Below πŸ‘‡
9. Quote Bot

Create a Simple Quote Bot that Generates, New Quote Every time when you run the code.

Here is the Sample Code πŸ‘‡
10. Email Slicer

Collect an email address from the user and then find out if the user has a custom domain name or a popular domain name.

Here is the Sample Code πŸ‘‡
At The end of this Thread Thread

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29 Jun
Introduction Statistics for Data Science.

"It is the mark of a truly intelligent person to be moved by Statistics."

Let's talk about Statistics for "Data Science" in this thread 🧡
The most important aspect of any Data Science approach is how the information is processed. When we talk about Developing insights out of data it is basically digging out the possibilities. Those possibilities in Data Science are known as Statistical Analysis.
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Here are some tips to help you make the new concepts you are learning as a beginner programmer πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» really stick:

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Summary!

- First Cover the Fundamentals
- Make Notes as Required
- Practice
- Contribute to Open Source
- When in Doubt, Use Google to Troubleshoot the code.
- Build Something, Anything.
- Schedule your Learning and Stick to it.

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πŸ‘‰ Make notes as required

As you progress on your journey as a new programmer, you may wonder if you should be taking notes. Yes, you should! In fact, research suggests that taking notes by hand is most beneficial for long-term retention.

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So, you want to *become a "Software Engineer".

πŸ‘‰Starting a new career is not easy. However, when you have a final destination in mind, it helps when you deal with a hurdle in your road. Image
In this Software Engineering thread🧡, you will learn:

⬜ What is Software Engineering?
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#SoftwareEngineer #SoftwareDevelopment
πŸ‘‰What is Software Engineering?

Software engineering is a process of analyzing user requirements and then designing, building, and testing software application which will satisfy those requirements.
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