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.
π§΅π
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 π
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 π
3. Password Generator
Create a Simple Python program that can generate a simple password for you.
Here is the Sample Code π
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 π
5. Digital Clock
Create a Digital Clock that Shows real Time.
Here is the Sample Code π
6. Quiz
Ask 4 Questions to the user and Calculate the Percentage at the end.
Here is Sample Code π
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 π
8. Desktop Message Notifier
You can make Digital Clock using *Python.
Make sure to give it a try!
See Below π
9. Quote Bot
Create a Simple Quote Bot that Generates, New Quote Every time when you run the code.
Here is the Sample Code π
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 π
At The end of this Thread Thread
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"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 π§΅
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.
β‘ Statistics is a Mathematical Science related to Data Collection, Analysis, and interpretation. It is used to solve large complex problems while looking for meaningful patterns and trends in Data.
- 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.
2/17
π 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.
πStarting 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.
In this Software Engineering threadπ§΅, you will learn:
β¬ What is Software Engineering?
β¬ Steps to Becoming A Software Engineer
β¬ What Does A Software Engineer Do?
β¬ Different Type of Careers in Software Engineering
Software engineering is a process of analyzing user requirements and then designing, building, and testing software application which will satisfy those requirements.