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About Python

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Introduction

Python is a popular high-level programming language and developed by the Python Software Foundation. The use of Python programming language helps developers express concepts in fewer lines of code and the language focuses a lot on code readability. One of the good things about Python programming language is the fact that it has a short learning curve and mastering the language can help you quickly understand other programming languages and frameworks. If you\'re looking to develop a working prototype to demonstrate an idea, then Python is the go-to language because of its simplicity. Python is a preferred programming language for most data mining, data analytics, and automation tasks. One of the biggest benefits of using Python programming language is the fact that it is easy to learn and even if you are not a skilled programmer you can still master it. Python helps developers increase their productivity and stay organised. It is a preferred language even in large development team environments. Bookmark this Practice track on Python and keep revisiting it to improve your skills in this popular programming language.

Strings

Strings are a sequence of characters, which in turn are symbols and even though we see these characters on the screen, the computer stores and processes it in combinations of 0s and 1s. Such a conversion (from character to number) are called encoding, where Unicode is one good example of encoding. Strings in Python are a sequence of Unicode characters.

Basic Data Types

Integers – Integers also known as Ints are whole numbers of unlimited length and can be positive or negative but without any decimal value. In fact, in Python, the value of an int is not restricted by the number of bits but can expand to the limit of the available memory. Floats - Float is a number which could be positive or negative and may contain one or more decimals. Strings – Strings are a sequence of characters where the character is basically as a symbol.

Math

The math module in Python includes some of the most widely used mathematical functions. The module also contains functions for calculating various trigonometric ratios for a given angle.

Itertools

Itertools is an in-built module in Python that helps in creating iterators. Most of the iterators that you create with itertools are not infinite. The tools available in itertools are memory efficient and fast.

Sets

An unordered or unindexed collection of data type is referred to as Sets in Python. Sets have no mutable elements, are iterable and there are no duplicate values in Sets. It is not possible to change the value of a Set once it is created but you can certainly add items to an existing Set. There are several built-in methods in Pythons that can be used on Sets and these include: add(), difference(), pop(), remove(), union(), update(). Thanks to the use of a data structure called hash table, one can quickly find out if a specific element is there in the Set or not.

Collections

Collections is a module in Python that contains different container data types such as namedtuple, counter, deque, OrderedDict.

Regex and Parsing

A regular expression or regex is a special sequence of characters that helps in finding other strings or sets of strings, using a specialized syntax stored inside a pattern. The re module available in Python provides full support for using Perl-like regex.

NumPy

NumPy is an important general-purpose library available in the Python programming language. It provides a high-performance multidimensional array object, and tools for working with arrays.

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