These Top 5 Python Libraries in this article, which are the advance language used for machine learning programming. So in this article we are talking about Most Functional Top 5 Python Libraries their definitions and features.
1. Numpy
What is Numpy?
Numpy is one of the Top 5 Python Libraries, which considered as one of the most popular machine learning library in Python. Others libraries uses Numpy internally for performing multiple operations. Array interface is the best and the most important feature of Numpy.
Characteristics of Numpy
- Mathematics: Makes complex mathematical implementations very simple.
- Interactive: Numpy is very interactive and easy to use.
- Intuitive: Makes coding real easy and grasping the concepts is easy.
- Lot of Interaction: Widely used, hence a lot of open source contribution.
2. SciPy
What is SciPy?
SciPy is a machine learning library for application developers and engineers. SciPy library contains modules for optimization, linear algebra, integration, and statistics.
Characteristics of SciPy
- The main feature of SciPy library is that it is developed using NumPy, and its array makes the most use of NumPy.
- In addition, SciPy provides all the efficient numerical routines like optimization, numerical integration, and many others using its specific submodules.
3. Pandas
What is Pandas?
Pandas is a machine learning library in Python that provides data structures of high-level and a wide variety of tools for analysis. One of the great features of this library is the ability to translate complex operations with data using one or two commands..
Characteristics of Pandas
- Pandas make sure that the entire process of manipulating data will be easier. Support for operations such as Re-indexing, Iteration, Sorting, Aggregations, Concatenations and Visualizations are among the feature highlights of Pandas.
4. PyTorch
PyTorch is a Python package which gives the user a blend of 2 high-level features – Tensor computation (like NumPy) with strong GPU acceleration and developing Deep Neural Networks on a tape-based auto diff system.
PyTorch provides a great platform to execute Deep Learning models with increased flexibility and speed built to be integrated deeply with Python.
5. Matplotlib
All the libraries that we have discussed are capable of array of numeric operations but when it comes to dimensional plotting, Matplotlib steals the show.
This open-source library in Python is widely used for publication of quality figures in a variety of hard copy formats and interactive environments across platforms. You can design charts, graphs, pie charts, scatterplots, histograms, error charts, etc. with just a few lines of code.
Hope these Most Functional Top 5 Python Libraries is fruitful for you.
Below are the few more chart can be created in tableau, steps wise guide for easy to design.