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Top 10 Python Libraries For 2018

What Are The Most Used Libraries For Python In 2018?

Python language is getting famous day by day and it's being used broadly. In order to make it reliable and up to date. Many tools were created to enhance Python experience. Today, let’s highlight the most famous Python libraries.

 1- NumPy


When it comes to scientific tasks, NumPy is the best tool. It contributes to Python for metrics and multi-dimensional arrays. It provides fast precompiles functions used in numerical routine

 2- SciPy

It’s powerful library which contains modules for linear algebra, integration, signal and image processing, and optimization.

    3- Pandas

It’s useful library for data manipulations, data analysis, data structure and numeric tables manipulation. It is fast, flexible, and expressive. It works with easy and intuitive labeled data.

    4- Matplotlib

It is an important library for any visualizations such as:
-          Scatter Plots
-          Pie charts
-          Spectrograms
-          Line plots
-          Bar charts
-          Histograms

     5- TensorFlow

It is one of the new libraries in Python that made it to the top. TensorFlow used for numerical computation using data flow graphs. The graph edge represent multidimensional arrays.

     6- Scrapy


It can be used for a wide range of purposes such as automated testing, data mining and monitoring. Scrapy is high-level web scraping and web crawling framework. It helps to extract structured data and crawl websites.

     7- SciKit-Learn

It is an extended package of Scipy. SciKit is used in machine learning and image processing due to its high performance and good documentation.

      8- Zappa


It is the next evolution of Python web applications. Zappa makes it easy to deploy Web Server Gateway Interface (WSGI) applications on AWS Lambda. Zappa made serverless architecture possible.


  9- Theano

Theano is useful when you deal with mathematical expressions and multidimensional arrays. With Theano, defining and optimizing those mathematical expressions becomes a doddle.

 10- OpenAI universe

It is used for measuring and training AI machines. It can be used for games, websites and other applications.

With these libraries, you can make a good use of Python. There are many other libraries we didn't mention, that doesn’t make them less important. You enhance your programming skills by reading Python tricks book, you will discover Python’s best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative

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