Introduction to Python Programming:
Both Python programming and Python programmers are highly in-demand. That makes it one of the oldest languages on this list (and in the world, in general). Python is a powerful and popular programming language that has a wide variety of uses. It’s easy to learn, making it perfect for beginner programmers. Python also has many libraries and tools that make developing software more efficient.
Here are some of the best tools Python programmers should know about as they move forward in their careers in 2022.
PyCharm IDE:
If you’re a Python programmer, then you need to know about PyCharm IDE. It’s one of the best tools out there for coding in Python. PyCharm makes coding in Python easier and more fun. Plus, it has features that make refactoring and debugging your code a breeze. Here are some of the reasons why PyCharm is the best IDE for Python programmers. The advanced Python Training in Hyderabad course by Kelly Technologies will help you develop hands-on skills in Python.
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Editing with Code Completion
There’s nothing like being able to write entire lines of code without actually having to type them. With PyCharm, all you have to do is start typing what you want the code to be and PyCharm will provide an autocomplete list for your needs. You can also see where variables are used throughout the project so if you want to change or add something from any file within your project, it’ll be easy!
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Debugging
One of the worst things as a programmer can be when something goes wrong with your program but there isn’t anything in particular happening on screen because it just crashes before anything shows up on the screen. When this happens, use debuggers!
Jupyter Notebook:
The Jupyter notebook provides an interactive computing environment for exploratory programming and data analysis that combines code execution with textual descriptions for visualization. You will find notebooks hosted all over the internet, with many open-source options available. It’s also a great place to start learning Python!
Keras:
Keras is a deep learning library written in Python and provides easy-to-use high-level building blocks to develop deep learning models.
- Kivy: Kivy enables you to create multi-touch enabled, cross-platform GUI applications with just one code base and enables designing widgets with the Builder toolkit.
- Kivy Designer: You can design your Kivy interface using this powerful UI design tool.
- CoffeeScript: CoffeeScript is a programming language that trans-compiles into JavaScript code and has syntax similar to Ruby.
Pip Package
Pip is a Python package for installing and managing packages. It makes it easy to install new packages, find and use packages from the Python Package Index (PyPI), and keep track of changes to installed packages. Pip is included with the standard Python installation, but can also be installed using the pip command line tool.
- Django – A popular Python-based web framework that is optimized for creating modern Web applications with an Apache server. Django has all the things necessary for developing fully-featured Web applications, from a template system to user authentication and permissions modules
- Celery – An asynchronous task queue/job queue based on distributed message passing. Celery lets you run tasks asynchronously outside of the main request/response loop and collect those results at some point later on when it’s convenient. It is especially well suited to long-running tasks or large tasks where small gains per iteration create significant benefits over time
- Kubernetes – Container cluster manager designed by Google and supported by Red Hat.
Python Anywhere
Imagine you read an article about Python and you want to give it a try, but you don’t want to download the software and try all the different ideas to see what works best. Instead, you could host and run your code on an online service called Python anywhere.
Using this service, you can create a code right away on your browser if you are new and not sure whether Python is right for you or not.
Scikit-Learn
- Scikit-lean’s algorithms are all implemented in pure Python. This makes it easy to extend or modify them to suit your needs.
- The library is well optimized and can take advantage of multicore processors. This makes it fast enough for production use.
- A large number of models are included, including tree-based models, linear models, generalized linear models, support vector machines, etc.
- Scikit-learn has a more unstructured design than other libraries like pandas and Matplotlib which reflects its focus on machine learning tasks.
- It also comes with some data mining capabilities out of the box that you won’t find in other libraries like pandas: pre-processing data into features, splitting data into training and test sets, working with categorical variables (factors), handling missing values via imputation techniques or filling in the missing values with specific values from a distribution (fill value).
Sphinx
Sphinx is a powerful Python programming toolkit that provides an easy way to create well-crafted, Sphinx-ready documentation. What’s more, Sphinx can be customized to fit any specific needs or project. For example, you can add custom templates and filters, or customize the look and feel of your documentation using the sphinx-theme tool.
In addition to being a powerful tool for creating documentation, Sphinx is also a great platform for developing Python projects. It provides all the features you need to build high quality applications, while also providing easy access to some of the best libraries and tools available for Python. Whether you’re looking for a comprehensive development environment or just want to make your documentation look nice, Sphinx is worth considering.
Selenium
Selenium is a powerful tool that can be used for programming in Python. It has the ability to interact with webpages, automate tasks, and collect data. Selenium can also be used for testing purposes, which makes it an essential tool for programmers.
Selenium is a tool that allows developers to automate web browsers for testing purposes. It is an essential tool for any Python programmer who wants to be able to create web applications quickly and efficiently. Developers can use it to automatically test their code across different devices, platforms, and browsers. Selenium even includes the functionality of collecting data about those tests for future analysis.
Sublime Text
Python programmers absolutely love Sublime Text. It’s been voted the #1 code editor by developers on Stack Overflow for four years in a row now. And it’s not hard to see why. Sublime Text is incredibly fast and lightweight, yet still packed with features like multiple selections, split editing, and Go To Anything. Plus, it has an amazing plugin ecosystem that lets you customize the editor to your heart’s content. If you’re not using Sublime Text, you’re missing out. Check out our tutorial on how to get started here!
Beautiful Soup
Python’s Beautiful Soup library is one of the most popular tools for web scraping and parsing HTML. The library is designed to make it easy to navigate, search, and modify HTML documents. In this post, we’ll take a look at some of the best features of Beautiful Soup and how they can be used to help you extract data from the web.
1) HTML being a markup language, it has different rules than regular text. If you need more control over certain aspects like dates or styles, lxml might be better suited for your needs.
2) For specific parsing needs that only need partial support (like XPath queries), then lxml will probably be faster because all necessary components are available without needing extensions as Beautiful Soup does with its extra plug-ins and 3rd party libraries.
Conclusion
This article in the Natives Daily must have given you a clear idea of the Python programming tools. Python is an amazing language with endless possibilities. As a Python programmer, you have access to some of the best tools in the world. From code editors to IDEs, these tools will help you take your Python programming to the next level. You’ll be able to save time and effort by automating tasks that would otherwise require hours or days of work.
