What are Libraries in Python?

In coding there are specific tasks are there to complete. These tasks can be done with the help of programming languages. These programming languages must have some tools and features that would help the users to complete the task within time.  The features can be said as libraries, community support, etc. If a programming language provides collection utility methods, classes, and modules to the users, then it can be called a library. In short, libraries include utility methods, classes, and modules. The advantage of libraries is that the user does need not to write functionalities from the scratch. The code once included in a library is reusable. This offers a great advantage to the users. They can save time by getting the help of libraries.

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Back in the 1980s, Python started to roll out. Now python is one of the most extensively used programming languages. It is a multi-purpose programming language. It is used in the fields of Web application development, Machine learning, Web development, etc. Python language is a beginner-friendly language. Many of the aspirants are building a career in python because of its versatility and its popularity. The community support provided by Python is huge. That is also an important factor that attracts aspirants to the Python language. The language helps its users to become productive in all aspects.

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Libraries in Python

When it comes to libraries and community support, python comes first. The community support offered by python is huge. Like that python has an abundance of libraries. These libraries help the users to complete their tasks within a specific time. Python language is easy and simple to learn. That is why it is called a beginner’s language. Python enables its developers to be more productive in development, and maintenance aspects. It is also a portable language. A single code can be used for various platforms. This is done with the help of libraries. The python libraries are diverse. Almost one lakh plus libraries are available for python language. This allows developers to write their codes easily without starting from scratch.

Standard Libraries in Python

There are a lot of libraries available in Python language. These libraries offer enormous support to the developers. Let us look at some standard libraries in python.

1. NumPy

It is one widely used library. NumPy is an open-source library. The main focus of this library is on the field of scientific computation. It supports quick computation with the help of its built-in mathematical features. It also supports big matrices and multidimensional data. NumPy is an interactive library.

2. Keras

Another Python-based open-source library is Keras. It helps in the quick solution of deep neural networks. For deep learning works, Keras is considered the best option. It helps the developers to debug and also explore more models and projects.

3. Pandas

Another open-source library of Python is pandas. It is mainly used in the field of data science. Data analysis, manipulation, and cleaning are the primary functions of Pandas. There is no need to switch to another language when pandas library is used. Pandas help in the process of data conversion also.

4. Scikit Learn

When we want to work with machine learning algorithms run in a python environment, Scikit learn is used. It is also an open-source python library. The music suggestions on Spotify are done with the help of the scikit-learn library. The important uses of scikit-learn include dimensionality reduction, classification, regression, clustering, model selection, etc

5. Eli5

Machine learning gives a predictive forecasting model. These models may be inaccurate. In this instant Eli5 comes to aid the developers. ELi5 assists in countering the difficulty of inaccurate predictions of machine learning. Apart from this, Eli5 contributes to industries that use legacy software and innovative approaches.

6. TensorFlow

TensorFlow is a numerical calculation library. It is also an open-source python language library. It mainly works in deep learning and machine learning algorithms.

7. Theano

Theano also deals with mathematical calculations. Unlike other mathematical libraries, theano gives users the freedom to define, optimize, and evaluate mathematical operations. Theano is the best in case to deal with huge data. It deals with huge data easily and smoothly.

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Conclusion

Standard libraries in python have been explained above. The abundance of libraries is an important feature of Python. It helps in making the projects completed easily and smoothly by the developers.