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Most commonly used python libraries you must know & learn about

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Muhammad Asim
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Most commonly used python libraries you must know & learn about

Table of contents

Python libraries

Python is the sea of libraries you must learn. There are lots of python libraries nowadays on the internet. Following are some important libraries.

  1. TensorFlow
  2. Scikit-Learn
  3. Numpy
  4. Keras
  5. PyTorch

TensorFlow

pngwing.com.png TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.

Features of TensorFlow

  • responsive Construct
  • flexible
  • easily Trainable
  • parallel Neural Network Training
  • large Community
  • pen Source

Scikit-Learn

pngegg (1).png Scikit-learn is an indispensable part of the Python machine learning toolkit at JPMorgan. It is very widely used across all parts of the bank for classification, predictive analytics, and very many other machine learning tasks.

Features Of Scikit-Learn

  • Cross-validation
  • Unsupervised learning algorithms
  • Feature extraction

Numpy

PngItem_4651848.png

NumPy is a Python library used for working with arrays. It also has functions for working in the domain of linear algebra, Fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open-source project and you can use it freely.

Features Of Numpy

  • Interactive
  • Mathematics
  • Intuitive
  • Lot of Interaction

Keras

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Keras is used for creating deep models which can be productized on smartphones. Keras is also used for distributed training of deep learning models. Keras is used by companies such as Netflix, Yelp, Uber, etc.

Features Of Keras

  • It runs smoothly on both CPU and GPU.
  • Keras supports almost all the models of a neural network – fully connected, convolutional, pooling, recurrent, embedding, etc. Furthermore, these models can be combined to build more complex models.
  • Keras, being modular in nature, is incredibly expressive, flexible, and apt for innovative research.
  • Keras is a completely Python-based framework, which makes it easy to debug and explore.

PyTorch

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PyTorch is an open source machine learning (ML) framework based on the Python programming language and the Torch library. It is one of the preferred platforms for deep learning research. The framework is built to speed up the process between research prototyping and deployment.

Features Of PyTorch

  • Hybrid Front-End
  • Distributed Training
  • Python First
  • Libraries And Tools
Pythonpython librariespython beginnerTensorFlownumpy