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This article focuses on "what are the tools suitable for getting started with Python". Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn what tools are suitable for getting started with Python.

IDLE

When you install Python, IDLE is also installed by default. This is one of the best Python tools. It can lower the threshold for getting started with Python. Its main functions include Python Shell window (interactive interpreter), auto-completion, highlighting syntax and basic integrated debugger. IDLE is light and easy to use and easy to learn. However, it does not apply to large projects. Many programmers regard it as the best Python tool.

Scikit-learn

Scikit-learn is one of the most commonly used Python tools in data science. This is a Python tool designed for machine learning and data science. The tool is mainly used to deal with classification, regression, clustering, model selection, preprocessing and other tasks. The best feature of scikit-Learn is the amazing speed with which benchmarking is performed on the test dataset. Therefore, Scikit-learn is one of the best Python tools for programmers and students.

Theano

Theano is a Python tool for data science, which is a very reliable tool for programmers and students. It is the best Python tool for deep learning, so it is very suitable for deep learning. Theano is designed to be user-friendly, modular, easy to extend, and can be used with Python. It can express neural network in the best way. Theano can run on popular neural networks such as TensorFlow and CNTK.

Selenium

Selenium is one of the best Python automation tools. It is suitable for the automation of Python testing and is often used as an automation framework for Web applications. We can use Selenium to write test scripts in many programming languages, including Java, C #, Python, ruby, and many other languages used by programmers and students. You can also integrate tools such as Junit and TestNG in Selenium to manage test cases and generate reports.

Test complete

Testcomplete is another excellent Python automation tool. Support for Web, mobile, and desktop automation testing. More advanced applications require a commercial license, and it can also help students improve their academic performance. Test complete can also perform keyword-driven tests like a robot framework. It has the best recording and playback functions, and is very practical.

Beautiful soup

Beautifulsoup is a Python tool for network crawling. This Python library can extract data from HTML and XML files and is a Python tool for navigating, searching, and modifying analysis trees. In addition, Beautiful soup can automatically convert incoming documents to Unicode and outgoing documents to UTF-8. It is the best Web crawling tool and can save a lot of time.

Pandas

Pandas is one of the most commonly used Python tools in data analysis. Pandas is an open source library licensed by BSD, which provides high-performance and easy-to-use data structures and data analysis tools for Python programming language. Python has long been well suited for data preparation. Pandas fills this gap, you don't have to switch to another domain to execute the entire data analysis workflow in Python, and Pandas is the best Python tool for data analysis.

PuLP

PuLP is one of the Python tools of linear programming. It is a type of optimization that can maximize the objective function under some given constraints. PuLP is a linear programming modeler written in Python.

PuLP can generate LP files and call highly optimized solvers GLPK, COIN CLP/CBC, CPLEX, and GUROBI to solve these linear problems. Students can use this tool to conduct regular research, and programmers can also use this tool at work.

At this point, I believe you have a deeper understanding of "what are the tools suitable for getting started with Python?" you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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