How to start writting python 🐍 programming language for just 5 days

How to start writting python 🐍 programming language for just 5 days

Python 🐍 🐍 🐍 🐍 🐍 🐍 🐍 🐍 🐍 🐍

 Python  is an easy to learn, powerful programming language. It has efficient high-level data structures and
a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic
typing, together with its interpreted nature, make it an ideal language for scripting and rapid application
development in many areas on most platforms.

The Python interpreter and the extensive standard library are freely available in source or binary form for all
major platforms from the Python Web site, Download Python IDE here and may be freely distributed. The
same site also contains 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 types implemented in C or C++
(or other languages callable from C). Python is also suitable as an extension language for customizable
applications.

This tutorial introduces the reader informally to the basic concepts and features of the Python language
and system. It helps to have a Python interpreter 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 library-index. reference-index gives a more formal
definition of the language. To write extensions in C or C++, read extending-index and c-api-index. There
are also several books covering Python in depth.

This tutorial does not attempt to be comprehensive and cover every single feature, or even every commonly
used feature. Instead, it introduces many of Python’s most noteworthy features, and will give you a good
idea of the language’s flavor and style. After reading it, you will be able to read and write Python modules
and programs, and you will be ready to learn more about the various Python library modules described in
library-index.


The Glossary is also worth going through.If you do much work on computers, eventually you find that there’s some task you’d like to automate. For
example, you may wish to perform a search-and-replace over a large number of text files, or rename and
rearrange a bunch of photo files in a complicated way. Perhaps you’d like to write a small custom database,
or a specialized GUI application, or a simple game.


If you’re a professional software developer, you may have to work with several C/C++/Java libraries but
find the usual write/compile/test/re-compile cycle is too slow. Perhaps you’re writing a test suite for such
a library and find writing the testing code a tedious task. Or maybe you’ve written a program that could
use an extension language, and you don’t want to design and implement a whole new language for your
application.


Python is just the language for you.
You could write a Unix shell script or Windows batch files for some of these tasks, but shell scripts are best
at moving around files and changing text data, not well-suited for GUI applications or games. You could
write a C/C++/Java program, but it can take a lot of development time to get even a first-draft program.
Python is simpler to use, available on Windows, Mac OS X, and Unix operating systems, and will help you
get the job done more quickly.
Python is simple to use, but it is a real programming language, offering much more structure and support
for large programs than shell scripts or batch files can offer. On the other hand, Python also offers much
more error checking than C, and, being a very-high-level language, it has high-level data types built in, such
as flexible arrays and dictionaries. Because of its more general data types Python is applicable to a much
larger problem domain than Awk or even Perl, yet many things are at least as easy in Python as in those
languages.


Python allows you to split your program into modules that can be reused in other Python programs. It
comes with a large collection of standard modules that you can use as the basis of your programs — or as
examples to start learning to program in Python. Some of these modules provide things like file I/O, system
calls, sockets, and even interfaces to graphical user interface toolkits like Tk.
Python is an interpreted language, which can save you considerable time during program development
because no compilation and linking is necessary. The interpreter can be used interactively, which makes it
easy to experiment with features of the language, to write throw-away programs, or to test functions during
bottom-up program development. It is also a handy desk calculator.
Python enables programs to be written compactly and readably. Programs written in Python are typically
much shorter than equivalent C, C++, or Java

 programs, for several reasons:
• the high-level data types allow you to express complex operations in a single statement;
• statement grouping is done by indentation instead of beginning and ending brackets;
• no variable or argument declarations are necessary.

Python is extensible: if you know how to program in C it is easy to add a new built-in function or module
to the interpreter, either to perform critical operations at maximum speed, or to link Python programs to
libraries that may only be available in binary form (such as a vendor-specific graphics library). Once youare really hooked, you can link the Python interpreter into an application written in C and use it as an
extension or command language for that application.


By the way, the language is named after the BBC show “Monty Python’s Flying Circus” and has nothing
to do with reptiles. Making references to Monty Python skits in documentation is not only allowed, it is
encouraged!
Now that you are all excited about Python, you’ll want to examine it in some more detail. Since the best
way to learn a language is to use it, the tutorial invites you to play with the Python interpreter as you read.
In the next chapter, the mechanics of using the interpreter are explained. This is rather mundane information,
but essential for trying out the examples shown later.
The rest of the tutorial introduces various features of the Python language and system through examples,
beginning with simple expressions, statements and data types, through functions and modules, and finally
touching upon advanced concepts like exceptions and us.

Please if you have any question or comment below.