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Python Basic Libraries - You Should learn about them!

Python has a rich set of libraries that can be used for various purposes ranging from data analysis and visualization to machine learning and artificial intelligence. In this article, we will take a look at some of the most popular Python libraries that you should learn about.

1. NumPy: NumPy is a powerful library for numerical computing in Python. It provides a robust and efficient multidimensional array object, as well as tools for working with these arrays. NumPy is the foundation of the scientific Python ecosystem and is used in many popular Python libraries, such as pandas and scikit-learn.

2. pandas: pandas is a library for working with tabular data. It provides a powerful dataframe object that can be used for data manipulation and analysis. pandas is often used in conjunction with NumPy and matplotlib for data visualisation.

3. matplotlib: matplotlib is a popular plotting library for Python. It provides a convenient API for creating a variety of plots, including line charts, bar charts, histograms, scatter plots, etc. matplotlib can be used in conjunction with NumPy and pandas for data visualisation.


Python Basic Libraries You Should learn about them

Python is a high-level, interpreted, general-purpose programming language, created on December 3, 1989, by Guido van Rossum, with a design philosophy entitled, "There's only one way to do it, and that's why it works."

In the Python language, that means explicit is better than implicit. It also gives rise to the infamous Python telegraph pole analogy attributed to creator Guido van Rossum, which goes like this:

There is beauty in π, elegance in an all-numeric telephone keypad . . . I am attracted to the simpleness of a perfect poker face, and the serenity of perfect punctuation mark placement. Just as art to be appreciated, comments to be enjoyed, and data to be played with, I enjoy reading Python philosophy.


 Python philosophy is summarized by the following principles:

There should be one-- and preferably only one --obvious way to do it.

Although that way may not be obvious at first unless you're Dutch.

Now is better than never.

Although never is often better than *right* now.

If the implementation is hard to explain, it's a bad idea.

If the implementation is easy to explain, it may be a good idea.

Namespaces are one honking great idea -- let's do more of those!


In addition to the philosophy, Python has an extensive standard library that covers everything from asynchronous programming to zip files. The standard library is very portable and cross-platform compatible on most major operating systems.

Some of the most popular and useful modules in the Python standard library are:

The "os" and "os.path" modules for interacting with the operating system.

The "sys" module for interacting with the Python interpreter.

The "math" module for mathematical functions.

The "re" module for regular expressions.

The "random" module for random number generation.

The "urllib" module for fetching data from URLs.

The "csv" module for reading and writing CSV files.


These are just a few of the modules in the Python standard library. There are many more, and you


1. Python Basic Libraries – Introduction

Python is a high-level, interpreted, general-purpose programming language, created on December 3, 1989, by Guido van Rossum, with a design philosophy entitled, "There's only one way to do it, and that's why it works."

In the Python language, that means explicit is better than implicit. It also gives rise to the infamous Python telegraph pole analogy attributed to creator Guido van Rossum, which goes like this:

There is beauty in π, elegance in an all-numeric telephone keypad . . . I am attracted to the simpleness of a perfect poker face, and the serenity of perfect punctuation mark placement. Just as art to be appreciated, comments to be enjoyed, and data to be played with, I enjoy reading Python philosophy.

The Python philosophy embraces a simple aesthetic pleasure in design and programming. It also gives rise to the infamous Python telegraph pole analogy attributed to creator Guido van Rossum, which goes like this:

There is beauty in π, elegance in an all-numeric telephone keypad . . . I am attracted to the simpleness of a perfect poker face, and the serenity of perfect punctuation mark placement. Just as art to be appreciated, comments to be enjoyed, and data to be played with, I enjoy reading Python philosophy.

In the Python language, that means explicit is better than implicit.


2. What are the Basic Libraries?

Python has a wide range of libraries that you can use for your projects. In this blog, we will be discussing the basic libraries that you should learn about. These libraries are essential for any Python programmer and will help you in your projects.

The first library that we will be discussing is the os library. This library provides functions for interacting with the operating system. It is used for accessing files and directories, creating and deleting files, and executing system commands. The os library is essential for any Python programmer.

The next library is the sys library. This library provides functions for interacting with the Python interpreter. It is used for accessing command line arguments, exiting the interpreter, and accessing the standard streams. The sys library is also essential for any Python programmer.

The next library is the math library. This library provides functions for mathematical operations. It is used for performing basic mathematical operations such as addition, subtraction, multiplication, and division. The math library is also essential for any Python programmer.

The next library is the time library. This library provides functions for interacting with the system clock. It is used for accessing the current time, converting time values to different formats, and calculating time values. The time library is also essential for any Python programmer.

The next library is the random library. This library provides functions for generating random numbers. It is used for generating random numbers for use in simulations and games. The random library is also essential for any Python programmer.

The next library is the pickle library. This library provides functions for serializing and deserializing Python objects. It is used for storing Python objects in a file and for retrieving them from a file. The pickle library is also essential for any Python programmer.

The next library is the urllib library. This library provides functions for retrieving data from URLs. It is used for fetching web pages, downloading files, and submitting form data. The urllib library is also essential for any Python programmer.

The next library is the xmlrpclib library. This library provides functions for accessing XML-RPC servers. It is used for accessing remote data and services. The xmlrpclib


3. Why Should You learn about them?

Python is a programming language with many features and a very active development community. Python libraries are a great way to get started with coding in Python. Here are three Python libraries you should learn about.


1. The Python Standard Library

The Python Standard Library is a collection of modules that are part of the Python programming language. These modules are available for use in your Python code. The Standard Library is well documented and includes a tutorial.

2. The Python Imaging Library

The Python Imaging Library (PIL) is a library for working with images. PIL provides support for a wide range of image file formats, including JPEG, PNG, and TIFF. PIL also provides several image processing functions, such as resizing, cropping, and converting between formats.

3. The Python NumPy Library

The Python NumPy library is a library for working with numerical data. NumPy provides support for large arrays and matrices of data. NumPy also provides a range of mathematical functions that can be applied to data.

4. How to get started?

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales. In July 2018, Van Rossum stepped down as the leader in the language community after 30 years.

Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented, and functional programming. Python is often described as a "batteries included" language due to its comprehensive standard library.

Python was conceived in the late 1980s as a successor to the ABC language. Python 2.0, released 2000, introduced features like list comprehensions and a garbage collector. Python 3.0, released 2008, was a major revision of the language that is not completely backward-compatible, and much Python 2 code does not run unmodified on Python 3.

The Python 2 language was officially discontinued on January 1, 2020 (first planned for 2015), and "Python 2.7.18 is the last Python 2.7 release and therefore the last release of Python 2.7."

Python has gained popularity for scientific computing in recent years with tools such as NumPy and SciPy and for machine learning with libraries like sci-kit-learn.

 Python syntax is very clean, with an emphasis on readability, and uses standard English keywords. Fewer lines of code are required to express a concept than in languages such as C++ or Java. Python adopts a "there is only one way to do it" approach to language design, meaning there is generally only one way, or at least one obvious way, to code something. This can lead to more readable code than languages that provide multiple ways to do the same thing.


5. Conclusion

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales.

In July 2018, Van Rossum stepped down as the leader in the language community after 30 years.

Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented, and functional programming.

Python interpreters are available for many operating systems. CPython, the reference implementation of Python, is open source software and has a community-based development model, as do nearly all of its variant implementations. Python and CPython are managed by the non-profit Python Software Foundation.

Python was conceived in the late 1980s[27] by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands as a successor to the ABC language (itself inspired by SETL)[28][29] capable of exception handling and interfacing with the Amoeba operating system. Its implementation began in December 1989.[30] Van Rossum's goal was to create a language that was "open source",[31] "uncluttered"[32] with "well-specified semantics".[23]

Python 2.0 was released on 16 October 2000, with many major new features including a full garbage collector and support for Unicode.

Python 3.0, a major, backwards-incompatible release, was released on 3 December 2008 after a long period of testing. Many of its major features have been backported to the backwards-compatible Python 2.6 and 2.7.

Python 2.7's end-of-life date was initially set at 2015, then postponed to 2020 out of concern that a large body of existing code could not easily be ported to Python 3.[33][34]

Python interpreters are offered for many operating systems. A notable feature ofCPython is the inclusion of a bytecode compiler, which generates executable code from


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