Python is named as one of the most popular languages in the data science community. Its popularity is for two reasons:
- Python has simple and very simpler syntax- almost capable to the mathematical syntax and also hence very easy to know
- It has very extensive coverage for scientific computing and data science.
The python tools will be convenient for various purposes
The data science python tools are:
Scikit – Learn : is an open source tool which is employed to style data science and machine learning. This is most employed by developers, ML engineers and data scientists for data processing and also data analysis. The most famous feature of scikit-learn is its speed in performing the benchmarks on toy datasets.
The basic characteristics of these tools are classification, regression, clustering, dimensionality reduction, model selection and also preprocessing. It also offers a user-friendly API together with a grid and also random searches.
This will be an open source, high level neural network library that’s written in programming language python. This is mostly applicable for LM and data science and deep learning. Keras will depend on 4 principles like user friendliness, modularity, and simple extensibility and dealing with the python. It always allows us to clarify neural networks in the simplest way possible. Python oops can run on neural network frameworks like TensorFlow, CNTK and Theano.
Theano is a python tool in the python library that’s designed explicitly for expressing multi-dimensional arrays. It defines, optimizes and evaluates mathematical computations comprising multi-dimensional arrays. Its important features are its tight combination with NumPy, transparent use of GPU, efficient symbolic differentiation, speed and stability optimisations, dynamic code C generations and also extensive unit testing.
This is an open source python based library ecosystem that’s used for any scientific and technical computing. It is used within the field of mathematics, science and engineering. SciPy leverages other python tool packages, that includes NumPy, Ipython or Pandas that make libraries for any common basic math and Science oriented programming tasks. This is an incredible tool for manipulating numbers on a computer, and also generating visualized results.
Automation Testing Python tools:
Selenium is an effective python development tool. It is an open source automation framework for all the net application softwares. With Selenium we may write test scripts in other programming languages that has Java, C#, Python, PHP, Perl, Ruby and .Net.
- Robot Framework:
This will be another open source generic test automation framework designed for acceptance testing and acceptance driven development. It makes use of tabular test data syntax and is key driven. Robot framework integrates with many frameworks for many various test automation requirements.
TestComplete is an open source automation testing software, python tool which supports the online, mobile and desktop automation testing. We must get an advert license to use it. TestComplete should use keyword driven testing, that is Robot Framework. It comes to us in an easy-to-use record and playback feature. It supports various scripting languages, including python, VBScript and C++ script. Software testers will perform keyword driven testing like a robot framework. It is the noteworthy feature of the python tool that GUI visual perception abilities will detect and also update the UI objects.
Web Scraping Python tools
- Beautiful Soup
HTML and XML files use Beautiful soup, a python library for extracting data. We can combine that may be preferred as a parser to manage various pythonic idioms for navigating, searching and also modifying the tree. The tools are automatically converted by the documents to Unicode and also outgoing the documents to UTF-8 and are employed for projects like screen scraping. It’s a good tool that will save hours on tasks.
This exactly is a python based tool built especially for the C libraries- Libxml2 and libxslt. Its highly important feature is, an ease of using libraries for processing XML and HTML in Python. It allows secured and convenient access to libxml2 and libxslt libraries by making use of the ElementTree API.
- What are Python tools?
- Explain about web scraping python tools?