Python was recently declared the Programming Language of the Year 2020 by TIOBE. The popularity of the Python programming language lies in its simplicity, ease of use, and multi-purpose nature. Developers from all around the world have adopted Python for writing robust code for their applications. What makes Python strong are the packages that simplify the work of coders by providing readymade solutions.
A Python package is basically a directory with Python files and a file with the name initi. Py. There are more than 200,000 python packages across the world. Here are the top 10 most downloaded Python packages by developers as per Python Package Index (PyPI), a repository of software for the Python Programming language.
NumpY is considered one of the most popular machine learning in Python. It is used for performing multiple operations. This interference can be utilized for expressing images, sound waves, and other binary raw streams as an array of real numbers in N-dimensional.
SciPy is a machine learning library for application developers and engineers. SciPy library contains modules for optimization, linear algebra, integration , and statistics. The main feature of SciPy is that it is developed using NumPy.
Pandas is a machine learning library in Python that provides data structures of high level and a wide variety of tools for analysis. It has the ability to translate complex operations with data using one or two commands. Pandas make sure that the entire process of manipulating data will be easier.
Pip is the standard way to installing and managing packages in python. It allows for installation from multiple sources and is not limited to installing packages maintained on the PyPI. Pip comes standard with every Python distribution, allowing one to accomplish installs, uninstalls, updates, etc from the command line.
Six is a Python 2 and 3 library, which is especially relevant given the amount of application migration from python 2 to 3 organizations. Six makes adjustments based on which version is running locally. This allows Python programmers to write code that is compatible with both versions of Python.
It provides a number of date and time manipulation capabilities. It builds on the datetime module that is built into Python and is simple and easy to use. The package is simple, but can dramatically improve your Python experience when handling time series data.
It is built on top of urllib3 but has a much simpler and more elegant syntax. It also integrates a few other Python libraries in order to maximize functionality while still managing to minimize complexity.
Keras is considered one of the coolest machine learning libraries in Python. It provides an easier mechanism to express neural networks. Keras is comparatively slow when we compare it with other machine learning libraries, because it creates a computational graph by using back end infrastructure and makes use of it to perform operations.
GBM, which is gradient boosting, is one of the best and most popular machine learning libraries, which helps developers in building new algorithms by redefining elementary models and namely decision trees. It has very fast computation, ensures high production efficiency.
Theano is a computational framework machine learning library in Python for computing multidimensional arrays. It can also be used in distributed or parallel environments.