Python Project Ideas – How to Get Started with Python

Programmers often look for a bit of inspiration before they get started. If you are short of ideas about what program to create and what to do with your skills, there are plenty of sources from where you can gain inspiration.

Many programmers prefer Python for programming because it’s one of the most versatile languages available.

Python is widely used in a variety of different fields and is regarded as a powerful programming language that
is used for design, and a lot more.

Python has become one of the most prominent modern programming languages, and has only evolved with the passage of time.

Before we delve further into different ideas about how Python can be used and the various projects that you can undertake with this language.

It’s important to truly understand what Python is all about.

Python project ideas are a dime a dozen, but not all are a suitable use of your time and effort.

Whether you are a beginner who is only just starting out with Python or a seasoned professional looking to hone their skills and grow your understanding of Python, the following comprehensive guide about different ideas and the language in general will help you get a better understanding of Python and its implications.

Introducing Python

Python is a high-level programming language that was created for general purpose use. It was developed by Guido van Rossum and was released to the world back in 1991.

Python’s design philosophy focuses quite a bit on the readability of the code, and the language makes use of a considerable amount of whitespace.

The constructs provided by Python are able to clear programming on larger and smaller scales, making it a highly versatile language.

Until July 2018, von Rossum was the leader of the Python language community, when he decided
to step down.

Python has automatic memory management and a dynamic type system while also supporting various programming paradigms such as procedural, object-oriented, functional, and imperative.

The standard library of Python is also one of the most comprehensive.

Interpreters for Python are available for a number of different operating systems.

CPython, the software used for reference implementation, is open source and available for use. It has a development model that focuses highly on inputs from the community.

Almost all of Python’s implementations now make use of a community based model.

The nonprofit Python Software Foundation manages CPython and Python.

The History of Python

The concept of Python was conceived by Guido van Rossum in the late 1980s.

He was working at the Centrum Wiskunde & Informatica in the Netherlands and was looking to design a successor to the ABC language.

The implementations began in December 1989.

The programming language has undergone many changes over the past couple of decades.

Python 2.0 was released on October 16, 2000 with a number of enhanced features, along with a cycle detecting garbage collector and support for Unicode.

Python released its third iteration in December 2008, which was a major revision over the previous versions, and wasn’t entirely backward compatible.

Python has undergone a variety of different changes over the years, and has established itself as one of the most prominent
programming languages during its time.

Python released its third iteration in December 2008, which was a major revision over the previous versions, and wasn’t entirely backward compatible.

Python has undergone a variety of different changes over the years, and has established itself as one of the most prominent
programming languages during its time.

Features

Python, as mentioned above, is a very versatile programming language.

Object-oriented programming and structured programming are completely supported, and many of the features provide support for functional programming, as well as aspect-oriented programming.

There are a number of other paradigms which are also supported with the help of extensions and logic programming.

Python is one of the languages that makes use of dynamic typing, and the memory management is handled by the cycle-detecting garbage collector and reference counting.

One of the differences between Python and other languages was the fact that instead of having all of its functionality built into the core, the programming language is highly extensible.

The compact modularity of the programming language has made it one of the most popular methods of adding programmable interfaces to applications that are already in use.

Even though Python offers a considerable amount of flexibility in terms of coding methodology, the language generally rejects more complicated syntax, such as that of PERL, while preferring a simpler mode of grammar.

The developers of Python usually try and avoid premature optimization.

Most developers who use Python are well versed on the community culture, and believe that the language should be fun to use. In fact, the name of the language was inspired by the British comedy group Monty Python.

Libraries

One of the core strengths of Python is the fact that it has a massive standard library.

It’s widely regarded as one of the greatest strengths of the language, giving you access to a range of tools which could be adapted to a variety of tasks.

The application supports standard formats and protocols such as MIME and HTTP for internet-facing applications.

There are modules which could be used for creating graphical user interfaces and for manipulating standard expressions. Even regular testing is supported with the use of exterior modules.

Uses

For over 16 years, Python has been ranked as one of the top 10 programming languages in
the world in the TIOBE Programming Community Index.

Currently, it is regarded as the third most popular language in the world, ranking behind Java and C.

In fact, it was determined that the memory consumption of Python was actually better than Java, and wasn’t far off
when compared with C or C++.

Check if You need assistance in C+ Programming

Some of the world’s largest organizations use Python.

Big names such as Wikipedia, Google, Facebook, NASA, and CERN are all on the list. The language is also used by companies such as Spotify, Instagram, and Amazon.

In fact, the social media website Reddit, which attracts millions of users within a month, was written entirely using Python.

Python was used as a scripting language for a number of web apps.

A number of web frameworks such as Pylons, Tornado, Zope, Django, Pylons web2py, Bottle, and TurboGears
provide extensive support to developers in designing and maintaining different kinds of applications using Python.

There are several libraries that allow Python to be used in scientific computing, such as Matplotlib, NumPy, and SciPy.

A number of operating systems now offer Python as a standard factor. Most of the Linux distributions now ship with Python, macOS, AmigaOS 4, NetBSD, and FreeBSD and are all equipped with Python, which can be used through the
command line terminal.

A number of installers are made using Python in Linux distributions, such as Ubuntu and Fedora.

LibreOffice, one of the free word processing software programs available nowadays, ships with Python.

As you can guess, Python has had a profound impact on the programming community in general, and has influenced many other languages. Some of the languages influenced by Python are as follows:

Boo: makes use of a similar object model, indentation, and a very similar syntax.

Cobra: makes use of a similar syntax and indentation, and if you take a look at the Acknowledgements section, it even says that Python is one of the languages that influenced it.

CoffeeScript: also uses Python-inspired syntax.

Go: makes use of the same syntax for slicing arrays and was designed to work fast in a dynamic language such as Python.

Kotlin: the interactive shell of Kotlin is very similar to Python.

Swift: one of the most powerful programming languages developed by Apple, Inc. to work on its own applications and models, has Python-inspired syntax.

There are a number of other languages that have been inspired by Python, and its development practices have also been inspired by a number of other languages.

The language received awards for the best programming language by TIOBE in 2007, 2010, and 2018.

The TIOBE index is used to measure the recipient of the award.

Now that you have a basic idea about Python and how it functions, it’s important to talk about the different ways Python can be used.

If you have just completed a course on Python and are looking to get started in improving your skills with this language, there are a whole host of different projects that you can undertake.

But, first, it’s important to see what others are doing with this language.

Google, for instance, is one of the world’s largest companies.

Python is a language that Google has used since the beginning of the company, and it’s become a very popular language for Google’s server-side projects.

In fact, during the language’s development, Guido van Rossum, Python’s Benevolent Dictator for Life, even worked there for several years while the project was being developed

Instagram relies on Python because it’s so simple.

In fact, Instagram is widely regarded as the company that runs the world’s largest Django based web framework, which was written in its entirety using Python.

Similarly, Spotify, which is widely regarded as the world’s most popular music streaming app, makes use of Python in its back-end and data analysis services.

Again, the team at Spotify states that the ease of use of Python helps them deliver lightning fast results in a very short
amount of time.

Spotify makes use of a plethora of analytical tools to provide recommendations to users who play music on their app, so they require the use of a language which is not only simple, but also easy to deploy.

Consistency is vital when you start learning any new programming language.

If you really want to stick to learning Python and want to try out new Python project ideas, it’s imperative that you code every day, no matter how little.

It might be a bit hard to believe for some people, but muscle memory plays a very important role in the world of programming.

If you commit that you are going to code every day and then follow through with it, your performance will increase drastically.

Muscle memory will come into play, and you will be able to perform tasks relatively quickly. There’s no need to spend a lot of time learning to code because that will bore you in the beginning.

Instead, start off by practicing small, around 25 minutes a day, and then continue to increase your time as you become more and more adept at coding.

As is obvious to you by now, Python is an incredibly popular language that can be used in a wide variety of different applications.

From web development to machine learning and even data sciences, Python has implications in almost every field.

There are many Python project ideas that you can choose from.

There are a bunch of different Python ideas that you can implement, but you have to be consistent.

Here are a few simple ones that you can use and get started with.

  1. Home Assistant: You can create an open-source home automation platform which runs on Python 3.
    The idea has received considerable tracking on Github, with over 11,357 stars.
    It’s a great way to automate the lights and other electronic equipment in your house.
  2. Create a Pytorch: The Pytorch team allows you to create neural networks and tensors in Python along with robust GPU acceleration.
    With 11,019 stars on Github, the Pytorch team sure has something interesting on its hands.
  3.  Python-fire: Python-fire is a library that is capable of automatically generating command line interfaces from virtually any Python project.
    It has more than 7,500 stars on Github.
  4.  Create a Video Game: You can create a video game like tic tac toe or even 2048 using Python.
  5. Create a Surveillance Robot: Now that robotics is penetrating virtually every field, it only makes sense that you might want to use Python to code and program one of your own.
    These surveillance robots can be used at home for security purposes.
    It’s a simple and elegant way to use Python to create a robot with a camera and program it to detect and alert homeowners of suspicious movement.
  6. Surveillance Monitoring via an Android Phone: Another fantastic way that you can use Python is to create a surveillance monitor through your Android phone.
    You will need the Raspberry Pi computer and a camera to program it and use it for surveillance of your home or office.
  7. Weather Monitoring: The Raspberry Pi computer can be programmed using Python to monitor the weather.
    The modular computer can be connected to sensors, and the data can be sent to your phone if programmed correctly, allowing you to keep a check on the weather.
  8. Pi Phone: One of the coolest things that you can do with the Raspberry Pi and Python is that you can connect a screen on top and then create a mobile phone.
    The Pi Phone is capable of touchscreen inputs and also has basic features like the display of the time and the date. In fact, it also allows you to set up an alarm.
  9. Automatic Gates: You can also create a weight sensing automatic gate.
    This application allows the door to sense the weight of a person or a vehicle, and open automatically.
    You can also boost it with additional features if you want.
  10. SerpentAI: Many online games can be played with bots or AIs.
    This game agent framework is the perfect choice for players who want to create bots that can be used when playing games.
  11. InstaPy: InstaPy is an Instagram Bot, which generally helps you in creating an automation script for liking, commenting, or following different users.
  12. Apistar: Apistar is a powerful and extremely fast API framework that can be used for multiple applications.
  13. MechanicalSoup: MechanicalSoup is a Python library that can be used for automating your interaction with different websites.
  14. Flashtext: Flashtext is a fantastic project for digital marketing aficionados. It allows you to add or remove keywords from a sentence.
  15. Maya: Maya is a fun project for people who want to find out about the date time for humans in Python.
  16. Open-paperless: An incredibly intuitive tool that can be used for scanning and indexing virtually all kinds of paper documents. It’s a fantastic document management system that allows you to go paperless with ease.
  17. Google Finance Currency Calculator API: Using the API from Google Finance, you can program this using the code from Python to get real time currency updates and calculate different currencies.
  18. Surveillance Robot: Do you want to create a fun robot that allows you to remotely surveil your surroundings? Using Raspberry Pi and programming it in a proper manner using Python, you can easily create a surveillance robot. Just use the Raspberry Pi and connect it to a surveillance system, allowing you to control the robot from your phone.
  19. Gain: This is a web crawling framework designed for use by virtually anyone.
  20. College Administration Tool: You can create an entire tool for the college
    administration system.
  21. Online voting system: You can use Python to create an online voting system that can be customized in a myriad of different ways to get feedback from users.
  22. Ultrasonic Radar: Again, with the use of the Raspberry Pi and Python, you can create an ultrasonic radar, as well.
  23. Pipenv: Pipenv is a Python development workflow for humans.
  24. MicroPython: MicroPython is a lean and efficient method for implementing
    constrained systems as well as microcontrollers.
  25. Employee Attendance Monitoring Project: You can use Python and program it for employee attendance monitoring as well, keeping you in check of when your employees are entering or leaving the office.

Write it Out

A lot of new programmers are confused about whether they should be taking notes or not. Most people don’t, and that’s a problem.
Start taking notes regularly, as it will help in your long-term retention of the workings of the language.

This is imperative for people who are working to become full-time developers, as a great number of the interviews focus on writing the code on a whiteboard as well. Moreover, once you start writing smaller programs, writing by hand can help you improve and plan your code accordingly before you write it out.

Take Breaks

It’s imperative that you take breaks when learning a new programming language such as Python, as well.

Python has been dramatically explored in a variety of different ways, and all the new information might get overwhelming to understand. Therefore, it’s important to take breaks and pursue some other activities meanwhile.

If you hit a wall in your coding journey, it’s important that you wait awhile and try something else before approaching the problem with a fresh mind.

Collaborate

Programming is best learned when you collaborate with others around you.

Surround yourself with people who are also learning Python and then try and explore your options.

It’s recommended that you join a few online forums where people discuss their improvements and other updates about their coding journeys.
By collaborating with others on different projects, you will be able to pick up a variety of new tips that will ultimately help you out in the long run.

There are many online schools where you can learn coding as well. You can only work on Python project ideas after you have developed a sound understanding of the language itself,

and the best way to do that is by surrounding yourself with others who are on the same journey as you.

Whether you are learning the language at a local school or whether you are learning online, it’s important that you focus on your progress as well.

Find a partner with whom you can share the progress of your journey so you can further improve your knowledge. By collaborating with others, you will be able to work on different projects as well.

Build Something

The best way to check your understanding of a programming language is to build something.

In the next few paragraphs, we shall talk about a variety of different project ideas that you can take on during your journey with this language.

Python can help you in a plethora of different ways, but it’s important that you hone your skills. Here are a few projects that you can take up using this language.

Automating the Boring Stuff, Python Project Idea

How boring is it when you have to rename files or update spreadsheets on your own? By using Python, you can easily automate all of these menial tasks.

Whether you are working in a company or are simply looking for a way to automate different things in your house, Python can be used for creating multiple programs which can help.

If you want to update tasks on your computer, you can easily do a lot. You will also get a chance to learn a variety of things and put into practice all that you have worked on so far.

For instance, you will be tasked with creating dictionaries, creating classes and multiple objects, as well as working with files.

The guide itself is designed to give you an array of hands-on applications which are going to have real-world implications for you as well.

If you want to save time on doing the boring tasks again and again, it might be a wise idea to create a program using Python for it.

Keep a Check on Crypto Prices

Do you remember back in December 2017, when Bitcoin went over the $20,000 mark? It was a time where investment managers were rubbing their heads and wondering what was going wrong.

Bitcoin defied expectations from everyone to become one of the most popular investment options for many people. However, while it may have fallen quite a bit, many people still like to keep up to date with all the latest Bitcoin prices.

Instead of checking the prices on your own, you can use Python to create a notification service that will update you with the prices of Bitcoin on a regular basis.

The main foundation of the project lies in the IFTTT (If this, then that) applets, so you will also get to learn how to use the requests library to send HTTP requests.

Moreover, you will also get to learn how to use a webhook to connect your application to various external services.

For many people who are just starting out with Python and have an interest in crypto markets, or even have investments in crypto, this is a fantastic project.

Moreover, the same method can be used to keep yourself up to date with prices of other currencies such as Ethereum or Monero as well.

It’s really a fantastic method that can help you in a myriad of different ways, helping you keep a check on your investment portfolio and remaining up to date with the latest price differences.

In case the prices fall or increase, you will be notified right away, which allows you to make decisions to buy and sell accordingly.

Creating a Calculator

Another fantastic idea for beginners is to create a calculator. For many people who are getting into GUI programming, this is a fantastic way to get into this field without feeling too overwhelmed. One of the most important parts of deployment is to create relevant back- end services.

However, you have to balance your time between the front-end as well, because that is equally important too.

Most importantly, creating applications with which any user can interact is of vital importance. Without that, your experience with GUI programming will always suffer.

If you are interested in creating a UX or UI design that is good looking, there are a number of different tutorials available. Keep in mind that the “tkinter” module is used. It’s the standard graphical user interface that comes bundled with your average iteration of Python.

The “tkinter” module is a wrapper that works around Tcl/Tk, which combines elements of the Tcl scripting language and the Tk, which is a GUI framework extension.

If you have Python installed in your computer, then the tkinter framework will already be installed in your computer as well, giving you access to a majority of different elements that you could use when creating the calculator.

You will just need to practice quite a bit with the help of the tkinter module, and slowly and gradually, your calculator will appear on the screen.

It’s one of the best ways to start programming. Once you understand how the programming works and the basics of the Python language, you can then start experimenting with a host of other toolkits that come packaged with Python.

Mine Data From Twitter

Twitter is the largest micro blogging platform on the Internet. The company has amassed a massive number of users and is widely regarded by many as one of the most influential news dissemination platforms available.

People can share information in the form of Tweets, which appear on their followers’ timelines. More importantly, you can also follow influential people or send Tweets to them in a way to connect with them one on one.

Thanks to the Internet, the average person now has access to a plethora of content that was not available before.

As long as you have the right tools, you can mine thousands of gigabytes of data which wasn’t even available just a mere decade or so ago.

Analytics is a huge implication in the field of data mining and many companies are taking this seriously. What do most people talk about frequently? What are the patterns that influence their behavior?

Twitter is a fantastic place to get answers about questions.

If you are interested in pursuing the field of data analysis and want to learn more about what people generally think about different things, then this is a great place to get started.

The Twitter data mining project is widely regarded by many as one of the best Python project ideas that you can take up.
There are numerous tutorials and guides available that will teach you the Twitter sentiment analysis with the help of the “docker” environment.

You will get to learn how you can register an application with Twitter. This is important if you want to mine data from Twitter, as it will help you get access to their streaming API.

Once you learn how to mine data from Twitter, you should be mentally ready to start using Python to take on projects that focus on speech recognition, as well as processing text.

Build Your Own Blockchain

You can also build your own blockchain with the help of Python.

This might come as a huge surprise to many, since most people do not have a sound understanding of blockchain in general.

The Blockchain was originally developed as a technology for use in the financial sector, but it has quickly been adapted for use in a variety of other applications.

Blockchains can now be used in a variety of different transactions, ranging from deals in real estate to transferring medical records. Basically, blockchain offers unprecedented security that you don’t get with other modules.

The best way to learn about blockchain is to build one of your own. There are tutorials that you can use to build an entire blockchain by yourself. Once the project comes to an end, you will have a detailed idea about how Blockchain really works and how the financial technology has developed.

You will primarily be making use of HTTP clients and also the requests library. However, once the installation of the Flask web based framework is completed, you will be able to make use of HTTP requests to send commands and generally communicate with the blockchain while using the Internet.

Many people are under the impression that blockchain is only for those who are enthusiastic about crypto. However, there are a number of different fields in which blockchain can be used. Once you learn how to build your own blockchain, try and see if you can’t come up with a new way to use the technology in your field of interest.

Play Different PyGames

If you are in the mood for having a bit of fun, you can easily code Python to create a variety of PyGames. There are a whole bunch of different arcade and adventure games that you can code using Python.

These games can be deployed within a matter of a few days only, so it’s a great way to get started. If you want to get into game development later on, learning Python is a fantastic choice.

There is an entire Pygame library that you can use when building your own games. It’s a great way to get started and will help you gain access to almost every single resource that you need to get started in building your own game.

Ideally, it’s best to get started with simple games such as hangman or tic tac toe, and then start with more complex variants.

Your newly acquired programming skills could greatly come in handy when it comes to building video games.

The PyGames library is widely regarded as one of the biggest resources available for building video games.

It is completely free and open source, and will give you access to a bunch of textures, computer graphics, as well as a bunch of sound libraries which can be used to add a host of interactive functions to your application.

There are practically thousands of different games that you can create with the help of the PyGames library. There’s an entire Pygames community with which you can share your games as well. It’s a great way to track your progress and keep in touch with the latest developments in the industry.

Start with Machine Learning

Machine learning and artificial intelligence are here to stay, and you would be a fool to ignore it, especially if you are thinking of pursuing a career in this field.

Anyone who is interested in artificial intelligence should consider learning the basics of machine learning if they want to pursue the former. But, for many people, it’s difficult to get started, because the field is so dynamic and changes so quickly.

Python will give you access to this field as there are a number of different resources available online that will allow you to get to grips with the basics before you decide to truly immerse yourself in the world of data science.

There are numerous online tutorials that will walk you through the basics of data sciences and then expose you to the world of different libraries for Python which will make it easy for you to generate predictions.

Funnily enough, a lot of people are under the impression that the tutorial is difficult, but that’s not the case. It’s actually pretty easy to follow, and can be completed within a few hours.

It’s a great way to get a quick understanding of how Python is used in the artificial intelligence and machine learning industries.

These are just a few of the many different projects that you can start off with once you get a basic understanding of Python in general. In some cases, certain libraries will be difficult for you to understand, but as long as you are consistent and follow the techniques listed above, you will be able to succeed.

Now, there are a number of different projects and ideas that haven’t been discussed on this list as yet. Obviously, as you begin to learn the language in general, you will end up opening a bunch of different avenues for yourself.

The list given above is by no means exhaustive, and there are a whole host of different things that you can do once you learn the language.

If you get stuck in any part of the coding process, there are hundreds of coding sources available for you to contact. It’s a great way to talk about your problems and then find a proper solution.

No matter which project you start with first, there are hundreds of Python project ideas that are going to come to your head as you progress. Python is one of the most flexible programming languages in the world, so it can be used in almost any field.

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