![]() PyQt is a multi-licensed cross-platform framework.It handles everything from widgets to animations. It's an event-driven framework and largely implemented for game-based development. Kivy is a very powerful cross-platform GUI development library which includes the native multi-touch feature for Android and iOS platform.The common frameworks like Kivy, PyQt, gui2Py, libavg, and wxPython are widely accepted by the Python graphical user interface development community. Python has support for multiple cross-platform frameworks. StatsModels is yet another library which helps in statistical modeling, testing, and analysis. With the introduction of Pandas, Python has become very effective in performing faster and accurate operations on structured data and it is one of the most effective tools for all mid-size data analysis. The Scikit-learn library is used for machine learning and data mining. The Matplotlib library assists in plotting and visualization techniques. The common libraries for analytics include NumPy and SciPy, which are used for fundamental scientific computing. Python has in-built scientific libraries and functions to support most of the statistical operations and models. The debugging tools available with the Python downloader package are easy to use and are extremely useful for developers. With simple syntax, strict indentation enforcement, Python is more readable than other popular programming languages. The Python architecture makes it a well-designed and robust language. These frameworks adhere to the MVC design principles and help in the easy development of complex and database-driven websites. There are other MVC web frameworks for Python such as Flask and Django which are popular and are being widely used. ![]() To name a few, there is Webapp2, which is a simple framework that can be used for developing web-based content with support for cloud services. There are a variety of frameworks available for creating robust websites using Python. Below are a few instances where Python is extensively used in the real world Web Development: The use of Python as the language for software development spans across several applications. Python was also tagged as the most popular coding languages for the year 2016. It can be interpreted by a number of operating systems like UNIX, Mac OS, MS-DOS, OS/2, and Windows. Python is relatively easy to learn, making it a great language for beginners. It also closely resembles the English language. Python in an open source, dynamic, and object-oriented programming language that has gained wide popularity in the programming world primarily due to its simple syntax and readability. We have added an Axes to the Figure we created earlier.Guido van Rossum, the creator of one of the most powerful programming languages in recent times - Python - came up with this unique and interesting name from his favorite comedy group Monty Python's Flying Circus. We need to add one or more Axes to Figure to be able to create an actual plot. Think of it as a container that hold the components of a plot together. We have created a figure but it does not have anything to show. Let’s create a Figure: #importing matplotlib import matplotlib.pyplot as plt %matplotlib inline #creating a figure artist fig = plt.figure(figsize=(10,6)) Figure is the main Artist object that holds everything together. Titles, lines, texts, axis labels are all instances of Artist. Artist LayerĪrtist layer is composed of one object which is Artist.Įverything that we see on a plot produced by matplotlib is an Artist instance. You ask your friend what to draw (Event). You get a blank paper (FigureCanvas) and a brush (Renderer). It is similar to how we do drawing on paper.
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