About Useful Python Tools

1. About Useful Python Tools WWW.STUDYSECTION.COM

2. About Useful Python Tools Among the developers, Python is one of the most popular languages in today’s world. There are numerous reasons behind the popularity of Python but primarily two reasons are easy syntax writing and an exclusive range of libraries, tools for data science, and scientific computing that Python offers to its users. Today, we will discuss the most widely used Python tools by data scientists and developers across the world. If you know how to use them then these tools are very convenient for many different purposes.

3. Let’s divide these tools into some Categories that are mentioned below: • Data Science Python tools • Keras • Scikit learn • Theano • SciPy • Automation Testing Python tools • Selenium • Robot Framework • TestComplete • Web SLXML • Scrapy • Urllib • craping Python tools

4. Data Science Python Tools • Keras - Keras is an open-source, high-level neural network API written in Python. It supports multiple back-ends, neural network models. It is highly convenient for Machine Learning and Deep Learning field. Keras library is user-friendly, easy to extend, modular, and working with Python. It is easy to introduce your new neural network with the help of modules that Keras provides like neural layers, activation function, cost functions, optimizer, etc. Kears supports a wide range of production deployment, integration with back-end engines like Tensorflow, CNTK, Theano, LXNet, and PlaidML.

5. Scikit learn It is an open-source for data science and machine learning used by developers and data scientists for data mining and predictive data analysis operations including classification, regression, clustering, and dimensionality reduction. It includes features like supervised learning algorithm (Support Vector Machines (SVM), Decision Trees to Bayesian methods ), cross-validation, unsupervised learning algorithm clustering, factor analysis, principal component analysis to unsupervised neural networks, feature extraction, and a lot of more.

6. Theano Theano is a completely Python-based library that allows optimizing, defining and evaluating any mathematical expressions of the multidimensional array in a very efficient way. Some key features that make this library very efficient are; integration with NumPy, transparent use of GPU, allow efficient symbolic differentiation, stability optimization, speed, and expensive unit testing.

7. Scipy It is an open-source library ecosystem used for technical and scientific computing. Engineering, Science, and mathematics is the main domain in which this library is extensively used. It leverages other Python packages, including pandas, ipython, and NumPy to make it more general for science and math-oriented programming tasks.

8. Web Scraping Tools • Beautiful SoupThis Python library is used to pull data from HTML and XML files. Some key features of beautiful soup are: It provides a few simple functions and pythonic idioms for searching, navigating, and modifying the parse-tree. It converts incoming documents to Unicode and outgoing documents to UTF-8 automatically. It works on top of Python parsers like html5lib and lxml for different parsing strategies and flexibility. • LXMLIt is the most easy-to-use library for processing HTML and XML in Python. The key features of this library are its extremely fast while parsing a large document, well documented, and easy conversion of data into Python data types, easier file manipulation.

9. Scrapy It’s an open-source Python library used for developing web spiders that crawl websites and extract data from them. Scrapy is a fast web crawling and scraping framework used for many tasks like data mining and automated testing. • Urllib This Python module is designed for collecting and opening URLs. It has many functions to work with URLs. It uses ‘urllib.request’ for opening and reading url most of the time it is HTTP, ‘urllib.error’ for defining the exception class for exceptions that are raised by ‘urllib.request’, ‘urllib.parse’ used to define a standard interface to fragment URL string.

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