Data Science is a growing sector all over the world and people are earning a handsome income with this field. Today, we will talk about the Top Python Libraries for Data Science which you can learn and understand to use by joining our Data Science Institute in Delhi.
Python is one of the top programming languages used worldwide. And, if we talk about solving projects or challenges of data science, python always surprises us. Most of the Data scientists across the world are utilizing the power of this programming language.
The reason for being a popular language for data scientists includes the benefits of being easy-to-use, object-oriented, easy-to-debug and open-source.
Top Python Libraries for Data Science
You can use this open-source free platform for your Data Science projects. It comes with numerous tools, resources and libraries for AI (Artificial Intelligence). By using some high-level APIs like Keras from TensorFlow, you can build as well as train the Machine Learning Models. Also, you can select any level of abstraction as per your model’s need. With TensorFlow, you can deploy your model of Machine Learning anywhere, either browser, cloud or you can use your device too.
This one also tops the list and is a free library which allows you to perform technical and scientific computing of your data because it has significantly high computational powers. However, this library is actually built with the NumPy array object. It has many options for different applications in the form of sub-packages.
So, SciPy can be said to be a well-featured and advanced version of the previous NumPy library. It has various additional features, for instance, it has an advanced featured version for Linear Algebra.
This free software Python Library is majorly used in numerical computation of data which is present in the form of multi-dimensional or large array matrices. The main objects of NumPy are multi-dimensional matrices which have dimensions (named axes) and a number of axes (called rank).
This library has various tools with which you can work with these arrays and it also has mathematical functions of high level for your data to be manipulated with the help of linear functions, random number crunching, Fourier transforms and so on. It has functions for operating both, basic as well as advanced computations.
This is a free software for Data science which allows you to perform Data Handling and Data Analysis. It has various easy-to-use and high-level operations and data structures with which you can manipulate data as time series and numerical tables.
In Pandas, you get various tools also for writing and reading data amongst different file formats and different data structures. So, we can say that this library is a perfect blend for your needs of data aggregation, data manipulation, data visualization and for reading and writing your data. This library is able to take your data also from different files like excel, CSV etc.
It is a 2-D plotting and data visualization library. In the Python community, this plotting library is widely used and is very popular. It comes with an interactive environment which you can use over multiple platforms. You can use this Python Library in the Python and IPython shells, Python scripts, web application servers, Jupyter Notebook and much more. Also, you can use this library for embedding the plots into applications with the use of different GUI toolkits such as Tkinter, wxPython, GTK+, Qt etc.
So, Matplotlib can be used easily for creating bar graphs, plots, histograms, pie charts, scatterplots, power spectra, error charts, stemplots and many other charts which you want. Its Pyplot module gives you an interface somewhat similar to MATLAB which is open-source and completely free to use.
In addition to the above discussed top 5 Python Libraries for Data Science, there are plenty of such libraries. If you find Data Science your preferred field, you can join the course with us which will teach you everything about the field and will also prepare you for Data Science Interview Questions.