Would you like to become a successful Python developer?

Yes of course if you landed on this blog.

For this, You need to know why python is used and what makes it the most popular language.

1)Python is a very powerful scripting language that runs on every operating system, such as Linux, macOS, or Windows.

2)Python is easy to learn and user-friendly, even if you're a beginner in programming you can start with python now.

3)Python Package Index(PyPI) organizes thousands of python modules. Standard Libraries and Community contributed modules are both supported by PyPI, which allows endless possibilities such as Web Development, Game Development, Desktop GUI, Network Programming, and so on.

4)Python is developed under an OSI-approved open source license that makes it free to use and easy to maintain.

Now let's get back to the most important Python Developer tools without any delay: 

We're going to cover three main areas in this blog: 

1)Data Science Python Tools:

2)Automation Testing Python Tools:

3)Web Scraping Python Tools:

1)Data Science Python Tools:

a)Scikit-Learn: 

Scikit-learn is a free machine learning library for Python initiated by David Cournapeau back in 2007 as a Google Summer code project.It contains multiple support - vector machines, random forests, and k-neighbors, and also supports Python numerical and scientific libraries including NumPy and SciPy.

b)Keras: 

Keras is a user-friendly API developed for humans and not computers. It is an open-source neural network library written in python. It is compatible with Tensorflow, etc. It is intended for easier testing of neural-networks.

c)Theano:

Theano is a Python library that enables one to test mathematical operations, like multi-dimensional arrays, so efficiently. It is mainly used for developing Deep Learning Applications. It operates better on the Graphics Processing Unit ( GPU) than on the CPU.

D)Scipy:

SciPy is a library that uses NumPy to execute more mathematical functions. SciPy uses NumPy arrays as the core data structure and comes with modules for various widely used tasks in scientific programming, including linear algebra, integration (calculus), ordinary differential equation resolution, and signal processing.

2)Automation Testing  Python Tools:

a)The selenium: 

Selenium is a powerful tool to monitor web browsers by programs and perform server emulation. It's available for all plugins, runs on all big Platforms, and the scripts are written in different languages, i.e. Python, Java, C #, etc.

b)Robot Framework:

The Robot Framework is a popular open-source software platform for acceptance checking, acceptance testing (ATDD), and robotic process automation ( RPA). It has simple plain text syntax and can be easily expanded to libraries implemented using Python or Java.

c)TestComplete:

TestComplete supports several test automation scripting languages-JavaScript, JScript, Python, VBScript, DelphiScript, C#Script, and C++Script. These languages have different syntax and different engines, and their use has some specific features described in this section.

3)Web Scraping Python Tools:

a)Beautiful Soup:

Beautiful Soup is a Python library for extracting data from HTML, XML, and other markup languages. Say that you have found some web pages that show data related to your study, such as date or address information, but that do not have any means of accessing the data directly.

b)LXML:

LXML is a Python library that enables quick handling of XML and HTML formats, and can also be used for web scraping.

There's a lot of off-the-shelf XML parsers out there, but for better performance, developers often choose to write their own XML

and HTML parsers.

c)Scrapy:

Scrapy is a Python web scraping application that offers a full kit for developers without caring about preserving the code. Beautiful Soup is also commonly used for browsing the internet. It is a Python program for scanning HTML and XML documents and extracting data from them.

Aside from these, there are a lot of tools that you'll explore in your Python Development Journey.

Thank you for Reading!

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