Hello Devs, If you want to become a better Python developer in 2023 and looking for the best Python tools, libraries, and best IDEs for Python development then you have come to the right place.
Python is considered one of the most popular and powerful programming languages and its popularity and demand is growing every passing days. I must say that Python is currently fueling a revolution to bringing more people into coding and programming.
It becomes much popular these couple last of years because of its simplicity and a hundred of thousands of what's known as libraries that make it multi-purpose programming languages like creating data visualization, GUI application, web application, artificial intelligence, deep learning, and much more.
Many reasons made python so popular such as its simplicity in creating complex codes with few lines of code another thing made Python so popular it is a high-level programming language so you need to worry about memory management like C/C++ do as well the huge community that support python so if you get stuck with something you will find someone can help you.
Because of its simplicity, many developers have changed their careers to be python developers and since it's an open-source programming language many programmers have created tools that facilitate the use of this language.
In this article, I have shared may useful python tools, libraries and IDEs that Python developers should know and use in their daily life while using this wonderful language.
This is a small introduction about Python and its capabilities and now you will see some of the development tools to help you create more efficient code and facilitate the process of programming as well as help you find your errors in the syntax.
There is a common saying that a craftsman is as good as their tools and Python developers are no exception.
Knowing these tools will make you more productive in your coding life and help you in becoming a better Python developer in 2023. Without wasting any more of your time, here is the list of tools Python developers should learn in 2023.
1. PyCharm IDE
This integrated development environment (IDE) is probably the best one ever available online for a python developer created by JetBrains which is one of the best known company for creating developer tools and IDEs for many programming languages, not just python.
This IDE lets you create your code efficiently and save you time by a feature called autocomplete which essentially suggests available keywords in python while you writing your code, and it knows everything about your code link the intending when you write some keywords like the "if" statement and highlighting your code syntax and much more that you can explore.
Also, it tells you where the error is when you make a typo or forget something inside your program, and as well as the installation of the packages made easy when you consider using PyCharm as your default IDE.
If you want to learn Python development using PyCharm then I highly recommend you to join Complete Python Developer in 2023: Zero to Mastery course by Andrei Negaoie which will teach you how to set up your professional workspace with Jupyter Notebooks, PyCharm, VS Code, the best IDEs and Editors for Python developers.
In short, PyCharm from JetBrains is the most used and favorite integrated development environment (IDE) for python developers since it has many tools to help you make clean code and the autocomplete feature that makes it the best choice among the developers.
Jupyter notebook is an IDE that is famous among data scientist and machine learning engineer since it facilitates the creation and execution of your code and you only have to execute one cell to test the code instead of running the whole program like the other IDEs.
The IDE works on the browser and you can add notes to your code and titles and export them as pdf or .ipynp files as well it is a good option if you are going to make 3D visualization.
In short, one of the best Python tools for code collaboration. If you want to learn Python coding with Jupytor notebook, Andrei Negaoi's Complete Python Developer in 2023: Zero to Mastery course on Udemy is a great resource.
Keras is an artificial intelligence tool or an API built-in top of TensorFlow and many other libraries such as Theano and CNTK to create a deep neural network and mimic the human brain in some way and simplify the creation of these deep neural networks.
Since Keras is open-source it attracts the contributors to develop it more and making the creation of neural networks as easy as typing some commands and stacking layers.
If you want to learn more about Keras and other deep learning concepts, I highly recommend you to check out Deep Learning with Python and Keras course by Jose Portilla on Udemy.
4. Pip Package
Let's say that you have learned the Python programming language and you want to be a specialist in one of the fields like data science, artificial intelligence, or data analysis. At that time you have to install some packages to do that and here comes a smart tool called Pip.
Pip is one of the most useful python tools and every developer should have since it used to install any python package that you want to use in your python program.
All you have to do is type pip and then the name of that package and this smart tool will download it and install it for you so it needs an internet connection in order to do that, also you have to keep it updated always to make sure it works in a more efficient way.
If you want to learn more about the Pip package and how to use Pip to install and uninstall python modules and packages then you can also check the Learn to Code with Python course on Udemy which has a couple of lectures on Pip pancakes.
Let's say that you have read an article about python and you want to give it a try but also you don't want to download python and trying different ideas to see which one is the best. Instead, you can host and run your code on an online service called python anywhere.
So if you are new and you didn't decide yet whether python is right for you or not you can create a code by this service right away from your browser.
It give you free access to their platform but if you need more power you have to upgrade your plan which will code you 5$ each month.
Alternatively, you can also join an interactive course like Learn Python 3 from CodeCademy which allows you to practice Python from the browser itself. Btw, you would need a CodeCademy membership to access this course which costs around $15 per month on the annual plan.
Scikit-Learn is an open-source machine learning library built on top of many other libraries such as matplotlib for data visualization, NumPy for mathematic calculation and scipy for scientific computing and many more libraries to make Scikit-Learn much powerful.
Let's assume that you have some knowledge of python and you want to be a specialist in data science or machine learning you can use a simple and efficient tool called Scikit-learn.
This tool has some built is packages for performing machine learning algorithms on your data such as classification and linear regression and much more.
You can also use their built-in data to perform your data science or analysis libraries on them without searching the web and downloading these data.
If you want to learn more about Scikit-Learn and other Python Data Science libraries like NumPy, Pandas, Seaborn, Matplotlib, Plotly, Tensorflow, and more then I recommend you to join Python for Data Science and Machine Learning Bootcamp course by Jose Portilla on Udemy.
In short, a fabulous tool for data scientists and machine learning engineers to perform many tasks related to data analysis and machine learning such as classification regression clustering and more. This is a Python library that should be in the Python developers toolset
One such thing that makes Python so successful is the variety of codes that you can find online let's say in GitHub or the other hosting code websites.
Many developers build their own open-source programs and let others use them and in order to do that, you have to generate documentation for your code, and here come the benefits of Sphinx.
Sphinx is the most useful tool when it comes to generating documentation for your programs, it works on the terminal or cmd for windows and it begins asking you a bunch of questions about your name, what your code does, code name, release date, and much more question.
After that, it will generate many different files like an HTML file that you can publish as a web page on your website or a pdf file that you can include alongside your open-source code and many formats that are useful in such cases.
Selenium is a tool or framework to experiment with a web application such as WordPress across various and multiple browsers.
Python also can be utilized to design a simple script or automation testing as well as many other languages such as java for instance.
Many reasons made this tool popular such as can be used with many programming languages like C#, Java, Ruby, and more as well it supports multiple platforms like Linux Mac Windows, and many browsers such as chrome and Firefox, and safari.
If you want to learn Python Automation from basic to advance with live projects then I highly recommend you to check out Selenium Webdriver with PYTHON from Scratch + Frameworks course on Udemy. This 18-hour long course is perfect to learn Automation with Python and Selenium in 2021.
9. Sublime Text
The last developer tool in this article is a lite text editor called sublime that can be used to create cleaning and nice python code just like the previous ones PyCharm and Jupyter notebook but very fast and supporting many languages not only python.
This code editor has something called plugins which is a small software that can be added to your editor and add some functionalities such as the autocomplete feature and much more.
Beautiful-soup is a tool or python module for parsing HTML documents from websites as well as XML and it can be used also to extract data from HTML files so you can create a python script to do this job easily.
This tool is widely used among data scientists to create s simple script that can extract large data from websites than apply visualization or pass that data to machine learning programs for AI research.
If you want to learn more about BeautfiulSoup and web scrapping using python then Web Scraping with Python: BeautifulSoup, Requests & Selenium course eon Udemy is a good course to start with.
That's all about the best tools, IDEs, and Libraries for Python developers to learn in 2023 If you are learning Python or already know Python then learning these tools can improve your skills and productivity and make you a better Python Developer.
Many Python Programmers and Software Engineers are using these tools and libraries to make their code faster and cleaner than ever before and can make your job easy such as auto-completing your code or downloading large data and organizing it for your research or development.
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Thanks for reading this article so far. If you find these best Python tools, IDES, and libraries useful then please share them with your friends and colleagues. If you have any questions or feedback then please drop a note.
P. S. - If you are new to Python and looking for a comprehensive course to learn Python in depth then I also recommend you check out The Complete Python Bootcamp course by Jose Portilla on Udemy. This course is trusted by more than 1 million python developers and it's one of the best courses to learn Python online.