Top Python App Development Tools for 2023
Quick Summary: Today,
we will discuss some of the ways Python is used in web development. Python is
among the top languages used by coders for large data science projects. This
comes as no surprise because Python is an easy-to-read and write the language
with minimal syntax. It has a strong support for scientific computing and data
science. Python is also widely used for website applications because of its
rich libraries and high standard code execution speed compared to other
languages.
This article discusses
the best Python development tools that every Python programmer must know to
become a professional Python developer in 2023. The list below will introduce
you to the best and most popular Python Editor, IDE, and Integrated Development
Environment (IDE), which is used by Python developers to create readable,
maintainable, and efficient code, using Python 3.
PyCharm IDE: PyCharm
is one of the top Python IDEs, which is great if you want to get the most out
of your experience with Python. PyCharm is particularly meant for language
developers, but even as a non-developer, this tool can be very beneficial for
you. It allows you to debug code faster and more efficiently and also offers a
powerful editor with auto-completion and other features that will make it
easier to work with Python.
Jupyter Notebook: The Jupyter Notebook is a popular and open-source web application.
It uses a console-based approach for document authoring that enables you to add
notes with your code using Markdown. The Markdown editor works with the
notebook and provides all the capabilities of the Markdown language. It does
not affect the execution of your code. This article gives tips on how to create
Jupyter notebooks running on Apache Zeppelin including installation,
configuration, and importing existing notebooks from GitHub.
Keras: Keras
is an open-source tool written in Python language which is used to design and
train neural networks. It is a high-level library with expressive syntax. The
tool can run on top of other machine learning libraries: TensorFlow, CNTK, and
Theano Microsoft Cognitive Toolkit, PlaidML. Keras characters: – It’s easy to
use and friendly to experiment with since it’s used in Python. – It is a
modular tool, making it extensible and easy to use. – All network
implementations within the package are compatible with each other and support
almost all of the neural network architectures available(LSTM, CNNs, RNNS).
Pip Package: Pip
is a package manager for the Python programming language. It has been designed
to help solve dependency problems in Python applications and extensions. Pip is
available as open-source software as it is released under the ‘MIT license’.
Pip can be downloaded as a Python package or use the bundled Linux version if
your operating system supports it.
Vim: The
Vim text editor is one of the most popular and best software for Linux and UNIX
systems. It is an enhanced version of the Vi editor with plenty of choices to
make certain modifications. Vim has extensions that one can use. To be able to
make this a best-suited tool for Python development, you need to get some time
just to familiarize yourself with it.
Selenium: Selenium
is a browser-based automation tool that you can use to record test cases once,
and then run them repeatedly against any number of local or remote web
browsers. With Selenium, you can also set up an automated testing environment
for these browsers on multiple operating systems and platforms. The instances
can then be run in parallel, allowing for quick automation execution. Selenium
has both a Command-line Interface (CLI) as well as an IDE (integrated
development environment) toolkit interface which you can use.
Sublime Text: Sublime
Text is an excellent code editor that supports many programming languages. From
Python to CSS and JavaScript, Sublime Text has a plugin for everything. The
editor is very fast and comes with powerful features like multi-cursor editing,
split screen editing for syntax coloring, copy and paste edition, X loupe, UI
customizability, etc. Sublime 2 supports the following platforms: Mac OS X
10.6+
Sphinx: Sphinx
is an open-source software that helps developers with documentation of Python
software projects. Both the documentation in Python itself as well as
user-friendly covering pages can be created using Sphinx. As you write code,
Sphinx helps you create the documentation for every function in your program
for free. All there is left to do is edit it to perfection and integrate it
into your website or a third-party platform where users can read and search it.
Thonny: Thonny
is a useful Python IDE (Integrated Development Environment) since it has a lot
of features that will definitely help beginners to learn Python easily.
Learning how to write code and writing the code are two different things, of
course. But with an application like Thonny, a newbie can enhance their coding
skills without having to spend too much time on the software he/she is using.
Scikit-Learn:
One of the most useful libraries in Python for doing machine learning is known
as Scikit-Learn. The library is one of the major development foundations that
allows users to create complex learning algorithms with ease. It’s also
arguably the most important tool for data science, which makes it highly
beneficial for most data science workflows.
Conclusion
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