Today, Python is one of the most popular programming languages. Although it is a general-purpose language, it is used in various areas of applications such as Machine Learning, Artificial Intelligence, web development, IoT, and more.
This Python tutorial has been written for the beginners to help them understand the basic to advanced concepts of Python Programming Language. After completing this tutorial, you will find yourself at a great level of expertise in Python, from where you can take yourself to the next levels to become a world class Software Engineer.
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Python is a very popular general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python is dynamically-typed and garbage-collected programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL).
This tutorial gives a complete understanding of Python programming language starting from basic conceopts to advanced concepts. This tutorial will take you through simple and practical approaches while learning Python Programming language.
Today, Python is very high in demand and all the major companies are looking for great Python Programmers to develop websites, software components, and applications or to work with Data Science, AI, and ML technologies. When we are developing this tutorial in 2022, there is a high shortage of Python Programmers where as market demands more number of Python Programmers due to it's application in Machine Learning, Artificial Intelligence etc.
Today a Python Programmer with 3-5 years of experience is asking for around $150,000 annual package and this is the most demanding programming language in America. Though it can vary depending on the location of the Job. It's impossible to list all of the companies using Python, to name a few big companies are:
So, you could be the next potential employee for any of these major companies. We have developed a great learning material for you to learn Python Programming which will help you prepare for the technical interviews and certification exams based on Python. So, start learning Python using this simple and effective tutorial from anywhere and anytime absolutely at your pace.
Python is consistently rated as one of the world's most popular programming languages. Python is fairly easy to learn, so if you are starting to learn any programming language then Python could be your great choice. Today various Schools, Colleges and Universities are teaching Python as their primary programming language. There are many other good reasons which makes Python as the top choice of any programmer:
Python is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Web Development Domain. I will list down some of the key advantages of learning Python:
Our Python programming tutorial provides various examples to explain different concepts. We have provided Online Python Compiler/Interpreter. You can Edit and Execute almost all the examples directly from your browser without the need to set up your development environment.
This tutorial has been prepared for the beginners to help them understand the basics to advanced concepts of Python programming language. After completing this tutorial, you will find yourself at a great level of expertise in Python programming, from where you can take yourself to the next levels.
Python was designed to be concise and easy to read and it provides English like syntax all of which makes it more easy to understand to the first-time coders than many other languages. Python is also easy to learn because it is an interpreted programming language.
(a) Python is free and open source (b) Python is community driven and has expert leadership (c) Python is fast and high-performance. (d) Python is High-level language and easy to learn. (e) Python provides lot of third-party modules.(f) Portable across Operating systems (g) Libraries for Machine Learning, Data Science and other modern technologies.
You can use our simple and the best Python tutorial to learn Python. We have removed all the unnecessary complexity while teaching you Python concepts. You can start learning it now Start Learning Python.
The Python interpreter and the extensive standard library are freely availablein source or binary form for all major platforms from the Python web site, , and may be freely distributed. The same site alsocontains distributions of and pointers to many free third party Python modules,programs and tools, and additional documentation.
The Python interpreter is easily extended with new functions and data typesimplemented in C or C++ (or other languages callable from C). Python is alsosuitable as an extension language for customizable applications.
This tutorial introduces the reader informally to the basic concepts andfeatures of the Python language and system. It helps to have a Pythoninterpreter handy for hands-on experience, but all examples are self-contained,so the tutorial can be read off-line as well.
For a description of standard objects and modules, see The Python Standard Library.The Python Language Reference gives a more formal definition of the language. To writeextensions in C or C++, read Extending and Embedding the Python Interpreter andPython/C API Reference Manual. There are also several books covering Python in depth.
Welcome! Are you completely new to programming?If not then we presume you will be looking for information aboutwhy and how to get started with Python.Fortunately anexperienced programmer in any programming language (whatever it may be)can pick up Python very quickly.It's also easy for beginners to use and learn, sojump in!
Installing Python is generally easy, and nowadaysmany Linux and UNIX distributions include a recent Python.Evensome Windows computers (notably those from HP) now come with Pythonalready installed.If you do need to install Python and aren't confident about thetask you can finda few notes on theBeginnersGuide/Downloadwiki page, but installation is unremarkable on most platforms.
Before getting started, you may want to find out which IDEs and texteditors are tailored to makePython editing easy, browse the list of introductory books, or look at code samples that you might findhelpful.
There is a list of tutorials suitable for experienced programmers on theBeginnersGuide/Tutorialspage. There is also a list ofresources in other languageswhich might be useful if English is not your first language.
The online documentationis your first port of call for definitive information.There is a fairly brieftutorialthat gives you basic information about the language andgets you started. You can follow this by looking at thelibrary referencefor a full description of Python's many libraries and thelanguage reference fora complete (though somewhat dry) explanation of Python's syntax.If you are looking for common Python recipes and patterns, youcan browse the ActiveState Python Cookbook
If you want to know whether a particular application, or a librarywith particular functionality, is available in Python there are anumber of possible sources of information. The Python web siteprovides aPython Package Index(also known as the Cheese Shop, a reference to the Monty Pythonscript of that name).There is also asearch page for a number of sources of Python-relatedinformation. Failing that, justGoogle for a phrase including the word ''python''and you may well get the result you need.If all else fails, ask on thepython newsgroupand there's a good chance someone will put you on the right track.
If you want to help to develop Python, take a look at thedeveloper area for further information.Please note that you don't have to be an expert programmerto help. The documentation is just as important as thecompiler, and still needs plenty of work!
This tutorial walks you through how to package a simple Python project. It willshow you how to add the necessary files and structure to create the package, howto build the package, and how to upload it to the Python Package Index (PyPI).
Creating the file __init__.py is recommended because the existence of an__init__.py file allows users to import the directory as a regular package,even if (as is the case in this tutorial) __init__.py is empty.[1]
Tools like pip and build do not actually convert your sourcesinto a distribution package (like a wheel);that job is performed by a build backend. The build backend determines howyour project will specify its configuration, including metadata (informationabout the project, for example, the name and tags that are displayed on PyPI)and input files. Build backends have different levels of functionality, such aswhether they support building extension modules, andyou should choose one that suits your needs and preferences.
Some build backends are part of larger tools that provide a command-lineinterface with additional features like project initialization and versionmanagement, as well as building, uploading, and installing packages. Thistutorial uses single-purpose tools that work independently.
Additional configuration of the build tool will either be in a tool sectionof the pyproject.toml, or in a special file defined by the build tool. Forexample, when using setuptools as your build backend, additional configurationmay be added to a setup.py or setup.cfg file, and specifyingsetuptools.build_meta in your build allows the tools to locate and use theseautomatically.
readme is a path to a file containing a detailed description of thepackage. This is shown on the package detail page on PyPI.In this case, the description is loaded from README.md (which is acommon pattern). There also is a more advanced table form described in thepyproject.toml guide.
classifiers gives the index and pip some additional metadataabout your package. In this case, the package is only compatible with Python3, is licensed under the MIT license, and is OS-independent. You shouldalways include at least which version(s) of Python your package works on,which license your package is available under, and which operating systemsyour package will work on. For a complete list of classifiers, see 152ee80cbc
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