List of 5 Essential Python Developer Tools

Everyone is aware that Python is considered one of the most powerful programming languages all around the world. Its easy syntax, vast community, sponsorship support, and versatility enable it to spread at the mass level. We have witnessed a huge growth of Python developers in the past couple of years at an incredible rate of 27% year-on-year.

Last year Python completed 30 years of success and It is going to disrupt the market in the next few years. Python can be used for almost every task that a common programming language can perform. It can be used for Data Visualization, Artificial Intelligence, Machine Learning, Deep Learning, Task Automation, Analysis of Data, Developing software and websites, and whatnot.

Moreover, python’s simplicity is attracting programmers to switch their careers and learn the most attractive programming language. If you want to kickstart your career in this domain enrolling in the best Python course in Delhi could be your first step to becoming a successful Python developer.

Today, we are going to explore the top 5 Python Developer tools that might be helpful for you and you should be aware of these Python programming tools to make your journey fluent as Python Programmer.

List of 5 Essential Python Developer Tools

1. Scipy

Scipy is an open-source free Python developer tool that can be accessed by anyone. This tool is used by Python developers to solve Mathematical, scientific, and engineering calculations. Scipy was introduced in 2001 by Travis Oliphant, Eric Jones, and Pearu Peterson. It is mostly used for data processing. As this Python programming tool is open source, it has large community groups all across the world. It supports all operating systems, and here is how to install it.

Windows: Python3 -m pip install –user numpy scipy
Linux: sudo apt-get install python-scipy python-numpy
Mac: sudo port install py35-scipy py35-numpy

2. Scikit-learn

Scikit-learn is a well know, most-used open-source Python developer tool. It is also known as scikit-learn and sk-learn was introduced in late 2007 by David Cournapeau during Google Summer of Code (GSoC) and was published in 2010. Additionally, although being mostly written in Python, some of scikit-learn's core algorithms were supported by Cython, a superset of Python, to improve speed. It is a demanding Python programming tool that offers a variety of features, including classification, regression, clustering, etc., that are widely employed in statistical modeling and machine learning. Below is a list of the procedures to install them in any of your operating systems.

Windows: pip install -U scikit-learn
Mac: pip install -U numpy scipy scikit-learn

3. Keras

Keras is one of the best Python developer tools that is an open-source neural network library written in Python and built on top of some of the most popular libraries such as theano, and TensorFlow. The concept of designing Keras is reliable, fast, and should be easy to use. It also uses a special library called “Backend” to deal with low-level computations. It can run independently on Theano or TensorFlow thanks to the "Backend" module, which serves as a high-level API wrapper (for low-level API).

Also read: Top 6 Python developer skills that you must have

4. Selenium

Selenium is a popular Python developer tool, you can use it for writing test scripts in a certain language like Java, C# or PHP, and many more. You can combine it with multiple languages and perform tests from any web browser (like Chrome, explorer, safari, etc.). It was first introduced in 2004 by Simon Stewart. It is an open-source Python dev tool that can be accessed by anyone.

5. Pip Package

pip package is also a Python developer tool that is actually a package manager for Python that is used to install and manage Python packages (also known as modules or libraries) written in Python. It is a command-line tool that can be used to install, uninstall, and upgrade packages. Pip makes it easy to manage dependencies in your Python projects by automatically installing the required packages and their dependencies.

To use this Python programming tool, you need to have Python installed on your computer. Pip is included with Python 2.7.9 and later versions, and it can also be installed separately for older versions of Python.

Overall, pip is an essential programming tool for Python developers as it makes it easy to manage dependencies and keep track of which packages are installed in your Python environment. 

Also read: 

1. Top 5 Python training institutes in GTB Nagar

2. List of Top 5 Python Training Institute In Pitampura