Python Projects
Learn Python Projects for free and understand the way to solve complex problems with source codes
Skills you’ll Learn
About this course
Working on simple python projects and later, working on complex projects is the best way to get expertise in python. Understanding this, we have brought this course on "Python Projects” that will teach you various standards with source code.
We shall also work on Word Counter using Python, Word Game using Python, Calculator with Python, Uber Data Analysis. In all the projects, the language used is Python. After completing this course, you can take an intermediate-level course based on python project ideas.
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Course Outline
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Skill & tools
64% of learners found all the desired skills & tools
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Frequently Asked Questions
What projects can I do with Python?
Following are some of the beginner-friendly python project ideas for beginners:
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Word Counter using Python
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Word Game using Python
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Calculator with Python
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Uber Data Analysis
Where can I learn Python projects for free?
You can learn python projects for beginners for free from Great Learning Academy. Great Learning provides free web-based courses in different spaces, empowers experts and beginners to get familiar with the most popular abilities to assist them in accomplishing professional success. We offer free endorsement courses like simple python projects for beginners with 1000+ long content periods across 800+ courses. These courses are offered in data science, Machine Learning, Artificial Intelligence, IT and Software, Cloud Computing, Marketing and Finance, and Big Data.
Who can learn python projects?
Anybody with Computer Science knowledge and basics in Python can learn Python projects courses. If you are not already familiar with the Python programming language, enroll in the Python course today for free online.
Why are python projects so popular?
Python is a programming language that is developers' first choice since it provides all the developer-friendly elements, is sophisticated and reduces a lot of effort, and saves time. So it is used by most developers and in many organizations, which is why Python projects are popular.
How to run a python project?
To run a Python project, follow these simple steps:
- Open command prompt > click on windows and R keys simultaneously. Type your command and click on the Enter key.
- Navigate to .py file in your folder. You can use "cd" to navigate to a folder and "cd folderName" command to enter the folder name.
- Enter command "python filename.py".
Popular Upskilling Programs
Learn Python with Projects
Python is a dynamic, high-level, free open source, and deciphered programming language. It upholds object-oriented programming just as procedural-oriented programming. We don't have to pronounce the sort of factor in Python since it is a progressively composed language. Also, learn python for machine learning by taking our free online course.
Features in Python:
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Simple to code: Python is a high-level programming language. Python is extremely simple to become familiar with when contrasted with languages like C, C#, Javascript, Java, etc. It is straightforward to code in the python language, and anyone can learn python basics in a couple of hours or days. It is likewise a beginner-friendly language.
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Free and Open Source: Python language is unreservedly accessible at the authority site, and you can download it from the given download connect beneath click on the Download Python option. Download Python. Since it is open-source, this suggests that source code is similarly open to general society. So, you can download it as using it to offer it.
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Object-Oriented Language: One of the critical components of Python is Object-Oriented programming. Python maintains object-oriented language and concepts of classes, objects epitome, etc.
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GUI Programming Support: Graphical User interfaces can be made utilizing a module like PyQt5, PyQt4, wxPython, or Tk in Python. PyQt5 is the most favorite choice for making graphical applications with Python.
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High-Level Language: Python is a high-level language. When we compose programs in Python, we don't have to recall the framework design, nor do we need to deal with the memory.
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Extensible Element: Python is an Extensible language. We can think of some Python code into C or C++ and aggregate that code in the C/C++ language.
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Python is a Portable Language: Python language is likewise a convenient language. We can run this code at any stage. For instance, if we have python code for windows and assume we need to run this code on different stages, such as Linux, Unix, and Mac, we don't have to transform it.
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Python is an Integrated language: Python is also an integrated language since we can undoubtedly incorporate Python with different languages like C, C++, etc.
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Deciphered Language: Python is an Interpreted Language since Python code is executed line by line at a time. There is no compelling reason to accumulate python code like different languages C, C++, Java, etc. As Python is deciphered language, therefore, it is simpler to investigate the code. The source code of Python is changed over into a prompt structure called bytecode.
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Huge Standard Library: Python has a substantial standard library that gives a rich arrangement of modules and capacities, so for the Python projects for beginners, you don't need to compose your code for each and everything. There are various libraries present in Python, similar to standard verbalizations, unit-testing, web programs, and so on.
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Dynamically Typed Language: Python is a dynamically composed language. That implies the sort (for instance, int, double, long, and so on) for a variable is chosen at run time, not ahead of time. On account of this element, we don't have to determine the kind of factor.
Application of Python:
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Web Applications : We can utilize Python to foster web applications. Python has numerous libraries that deal with web applications, including HTML and XML, JSON, Email preparing, request, Feedparser, etc. Instagram uses one of the Python web application framework named Django. Python gives numerous valuable structures, and these are given beneath:
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Django and Pyramid framework(Use for weighty applications)
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Carafe and Bottle (Micro-system)
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Plone and Django CMS (Advance Content administration)
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Desktop GUI Applications Python provides a Tk with a GUI library to foster a UI. The GUI addresses the Graphical User Interface, which gives a smooth relationship to any application. Some famous GUI libraries are given below.
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Tkinter or Tk
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wxWidgetM
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Kivy (utilized for composing multitouch applications )
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PyQt or Pyside
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Console-based Application : Console-based applications run from the order line or shell. These applications are PC programs that are utilized orders to execute. This sort of utilization was more famous in the old age of PCs. Python can foster this sort of utilization successfully. It has REPL, which implies the Read-Eval-Print Loop, making it the most appropriate language for order line applications. Python gives many free library or module which assists with building the order line applications. The IO Python libraries are used to peruse and compose. It assists with parsing contention and makes console help text out-of-the-case. There are likewise advanced libraries that can foster free control center applications.
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Software Development : Python is valuable for the product improvement measure. It fills in as a help language and can be utilized to assemble control and the board, testing, and so forth.
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SCons is utilized to fabricate control.
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Buildbot and Apache Gumps are utilized for consistent computerized arrangement and testing.
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Round or Trac for bug following and task the board.
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Scientific and Numeric
This is the time of Artificial insight where the machine can play out the errand equivalent to the human. Python language is the most appropriate language for Artificial Intelligence or AI. It comprises numerous logical and numerical libraries, which makes it simple to settle complex estimations. Executing AI calculations require complicated numerical computation. Python has innumerable logical and numeric libraries, such as Numpy, Pandas, Scipy, Scikit-learn, etc. If you have some essential information on Python, you need to import libraries at the highest point of the code. Barely any famous structures of machine libraries are given beneath.
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SciPy
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Scikit-learn
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NumPy
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Pandas
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Matplotlib
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Business Applications
Business Applications contrast from standard applications. Some business applications are eCommerce and ERPs. This sort of use requires wide versatility and lucidness, and Python gives this load of components. Oddo is an illustration of the widespread Python-based application, which offers a scope of business applications. Python provides a Tryton with stage, which is utilized to foster the business application.
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Audio or Video-based Applications : Python is adaptable to play out various undertakings and can be utilized to make interactive media applications. Some sight and sound applications created by using Python are TimPlayer, cplay, and so forth. A couple of interactive media libraries are given below.
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Gstreamer
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Pyglet
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QT Phonon
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3D CAD Applications : The CAD (Computer-supported plan) is utilized to configuration designing related engineering. It is used to foster the 3D portrayal of a piece of a framework. Python can make a 3D CAD application by using the going with functionalities.
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Fandango (Popular )
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CAMVOX
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HeeksCNC
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AnyCAD
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RCAM
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Enterprise Applications : Python can be used to make applications that can be used inside an Enterprise or an Organization. There are famous enterprise applications that are used a lot, and they are OpenERP, Tryton, Picalo, and so on.
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Image Processing Application : Python contains various libraries that are used to work with the image. Our necessities can control the image. A few libraries of picture handling are given underneath.
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OpenCV
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Pad
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SimpleITK