Learn Python 3
You might have a question, when there are so many programming languages out there, why one has to learn Python 3. This tutorial explains what makes Python 3 an appealing choice by covering the basics features and applications of Python. This Python 3 tutorial is for anyone, who wants to learn Python basics whether you are an experienced programmer or programmer.
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Python 3 Tutorial
Python Tutorial for Beginners
If you are a beginner in Python then this tutorial is for you. Python 3 is a powerful interpreted programming language that is easy to learn as well. It has efficient high-level data structures and provides a simple as well as an effective approach to object-oriented programming. Python 3 is considered as an ideal language for scripting and rapid application development because of its
Python is also a suitable extension language for customizable applications. We can easily extend the Python interpreter with new functions and data types implemented in C or C++.
Python is developed by Guido van Rossum. Guido van Rossum started implementing Python in the year 1989. Python is free and open-source. If you are new to programming languages, then Python is the easiest language to start with.
Features of Python
Easy to learn and easy to read
We can estimate the complexity of the programming language from the number of keywords in that language. Python 2 and Python 3 have 31 and 33 keywords respectively. Whereas C++ has 62, Java has 53 and Virtual Basic has more than 120 keywords.
Python is a high-level programming and it has a simple and clean structure. These two features make Python easy to learn and easy to read.
Complied language means the code has to be translated into the machine code before it’s run. Whereas interpreted language passes the code to the interpreter which runs the code directly. Hence the interpreted languages have the advantage of a quick development cycle. All the programmer has to do is type the code and run it without the need for intermediate compilation. However, the execution speed of the compiled languages is faster than the interpreted languages.
Python is a cross-platform programming language because it runs on various operating systems such as Mac, Windows, Linux, Unix, etc
Python is an interpreted language, not a compiled language. With Python interpreter installed, code written for one platform works on other platforms as well.
Free and open-source
The Python interpreter is developed under an OSI-approved open-source license. So you can download it for free and use it in your application.
Python is an Object-Oriented programming language. Hence it becomes more applicable to use in real-world application programming.
Large standard library
Python has an extensive library which consists of classes of functions, which we can use while writing code in Python.
What you can do with Python
Here are some of the applications of Python:
In Python, we can develop, secure, and scalable web applications with the help of web frameworks like Django and Flask. With these web frameworks, we can not only write server-side code but also we can write backend programming logic, m managing database, mapping URLs, etc.,
Machine learning is a way to write a logic so that a machine can learn and solve a particular problem on its own. For example, products recommendation in websites like Amazon, Flipkart, eBay, etc. is a machine learning algorithm that recognizes user’s interest. Face recognition and Voice recognition in your phone is another example of machine learning. There are many machine learning applications written in Python.
Python is used in data analysis and data can be visualized in the form of charts.
Python provides numerous python libraries for image processing. With Python, we can analyze any image pixel by pixel. Examples: Pillow, scikit-image, etc.
With libraries like TKinter, QT, etc. we can develop desktop applications in Python.
Some of the real-life applications of Python are Youtube, Instagram, Spotify, Pininterest, DropBox, etc.
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