PyCharm Blog
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PyCharm Blog
4d ago
I learn so much from watching conference talks, especially live, when I’m vibing with the crowd. But sometimes I watch and think: “Wow, I wish I could show you how awesome that would be in PyCharm.” That just happened. Here’s the explainer, with a little special something at the end. Hello, DjangoConf I recently attended ..read more
PyCharm Blog
1w ago
With PyCharm, you now have the support of AI Assistant at your fingertips. You can interact with it right where you do most of your work – in the editor. Stuck with an error in your code? Need to add documentation or tests? Just start typing your request on a new line in the editor ..read more
PyCharm Blog
1w ago
We invite you to join us in just two days time, on October 3 at 5:00 pm CEST (11:00 am EDT), for a livestream shining a spotlight on Python 3.13 and the trends shaping its development. Our speakers: They will discuss the most notable features of Python 3.13 and examine the industry trends likely to ..read more
PyCharm Blog
2w ago
Data cleaning, exploration, and visualization are some of the most time-consuming tasks for data scientists. Nearly 50% of data specialists dedicate 30% or more of their time to data preparation. The pandas and Polars libraries are widely used for these purposes, each offering unique advantages. PyCharm supports both libraries, enabling users to efficiently explore, clean ..read more
PyCharm Blog
2w ago
Python has almost 30 years of history doing Python web development. Can you believe it? But 3-tier web projects have gotten really complicated and stressful. You’re busy, everything is all over the place – it’s hard! But PyCharm is here to help: bring your work together with the Endpoints tool window. I just made a ..read more
PyCharm Blog
2w ago
Ready to get started on your Django project? Whether you want to build a personal project, improve your portfolio, or just experiment with a new technology, Django provides the perfect foundation. We’ve compiled a list of Django project ideas that will help you expand your competence, whether you’re new to the framework or looking to ..read more
PyCharm Blog
3w ago
Jupyter notebooks are an important tool for data scientists, providing an easy option for conducting experiments and presenting results. According to our Developer Ecosystem Survey 2023, at least 35% of data professionals use Jupyter notebooks. Furthermore, over 40% of these users spend more than 20% of their working time using these resources. There are several ..read more
PyCharm Blog
3w ago
PyCharm 2024.2.2 is here with many key updates, including Python support improvements, new Django features, and enhancements to the Data View tool window! Visit our What’s New page for more details on all these features and to explore many others. You can download the latest version from our download page or update your current version ..read more
PyCharm Blog
3w ago
This is a guest post from Cheuk Ting Ho, a data scientist who contributes to multiple open-source libraries, such as pandas, Polars, and Jupyter Notebook. FastAPI provides a quick way to build a backend service with Python. With a few decorators, you can turn your Python function into an API application. It is widely used ..read more
PyCharm Blog
1M ago
Jupyter notebooks allow you to tell stories by creating and sharing data, equations, and visualizations sequentially, with a supporting narrative as you go through the notebook. Jupyter notebooks in PyCharm Professional provide functionality above and beyond that of browser-based Jupyter notebooks, such as code completion, dynamic plots, and quick statistics, to help you explore and ..read more