8 Python Projects for Absolute beginners to learn Programming

8 Python Projects for Absolute beginners to learn Programming

Programming is something which can be learnt only through practice and discovering. It can’t be mastered just by remembering the definitions and syntax. 

8 Best Python Projects

 

If you code regularly, the syntax will automatically stick to your memory. And the most important thing – Programming requires the ability to think not the ability to remember or write/type.

reading computer code

 

It is essential to know the right course of action and projects that can help developers to thrive in their learning journey. The developers can start their career with a basic project that can give them a fair understanding of Python.

 

What is Python?

logo of Python

 

Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.

Why Python?

Python is easy to use, powerful, and versatile, making it a great choice for beginners and experts alike. Python’s readability makes it a great first programming language — it allows you to think like a programmer and not waste time with confusing syntax. It has simplified syntax, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages.

Some reasons as given below-

1) Easy to Learn and Use –

 

Python language is incredibly easy to use and learn for new beginners and newcomers. The python language is one of the most accessible programming languages available because it has simplified syntax and not complicated, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages.

2) Versatility, Efficiency, Reliability, and Speed –

 

Ask any python developer, and they will wholeheartedly agree that the python language is efficient, reliable, and much faster than most modern languages. Python can be used in nearly any kind of environment, and one will not face any kind of performance loss issue irrespective of the platform one is working.
One more best thing about versatility of python language is that it can be used in many varieties of environments such as mobile applications, desktop applications, web development, hardware programming, and many more. The versatility of python makes it more attractive to use due to its high number of applications.

3) Hundreds of Python Libraries and Frameworks –

 

Due to its corporate sponsorship and big supportive community of python, python has excellent libraries that you can use to select and save your time and effort on the initial cycle of development. There are also lots of cloud media services that offer cross-platform support through library-like tools, which can be extremely beneficial.
Libraries with specific focus are also available like nltk for natural language processing or scikit-learn for machine learning applications.

4) Mature and Supportive Python Community –

Python was created more than 30 years ago, which is a lot of time for any community of programming language to grow and mature adequately to support developers ranging from beginner to expert levels. There are plenty of documentation, guides and Video Tutorials for Python language are available that learner and developer of any skill level or ages can use and receive the support required to enhance their knowledge in python programming language.

5) popular used tool for Big data, Machine Learning and Cloud Computing –

 

Cloud Computing, Machine Learning, and Big Data are some of the hottest trends in the computer science world right now, which helps lots of organizations to transform and improve their processes and workflows.

6) Automation –

 

Python language can help a lot in automation of tasks as there are lots of tools and modules available, which makes things much more comfortable. It is incredible to know that one can reach an advanced level of automation easily by just using necessary python codes.

Python Version –

The most recent major version of Python is Python 3. However, Python 2, although not being updated with anything other than security updates, is still quite popular.

Python is used for:
⦁ web development (server-side),
⦁ software development,
⦁ mathematics,
⦁ system scripting and e.t.c

Is Python good for projects?

The great fascination with Python

It’s not surprising, since it’s the fastest growing and the most loved programming language. It’s versatile, which means it can be used in a variety of projects and across multiple industries, including data science, machine learning, blockchain, etc.

Here are some of the most basic yet informative Python projects for beginners.

⦁ Stone Paper scissor

 

Build a cool game using python for fun to play Stone paper scissor

⦁ Password generator

 

Build a secure password generator in Python.

⦁ Alarm Clock

 

The basic alarm clock can be helpful as the first project for the developers. Software developers can demonstrate the skills and use them to notify the time of the users.

⦁ Guess the number

 

Here user will guess the number with system generated number and winner will be declared using scorecard.

⦁ Alphabet printing using *

 

Using pattern method to print every alphabet using ‘*’.

⦁ Build a “countdown calculator”

 

Write some code that can take two dates as input, and calculate the amount of time between them. This will be a great way to familiarize yourself with Python’s datetime module.

⦁ Write a Sorting Method without using sort()

 

Given a list, can you write some code that sorts it alphabetically, or numerically? Yes, Python has this functionality built-in, but see if you can do it without using sort()!

⦁ Build a calculator

 

Using functions and some methods to create our own developed calculator without using inbuilt functions for calculation.

Conclusion:

I hope this article has provided you with a good foundation for incorporating closures and higher order functions into your python code, as well as giving you a glimpse of the beauty and effectiveness of functional programming.