Cheuk Ting Ho    In recent years, many of our applications have been driven by the high volume of data that we are able to collect and process. Some may refer to us being in the age of data. One of the essential aspects of handling such a large amount of data is anomaly detection processes that enable

Helen Scott    In this Data Science blog post series, we’ve talked about where to get data from and how to explore that data using pandas, but whilst that data is excellent for learning, it’s not similar to what we will term real world data. Data for learning has often already been cleaned and curated to allow...

Stanislav Garkusha    dbt Core is a modern data transformation framework. It doesn’t extract or load data and is only responsible for the T in the ELT extract load transform process. dbt connects to your data warehouse and helps you prepare your data so it can later be used to answer business questions. In this blog...

Jodie Burchell    Sentiment analysis is one of the most popular ways to analyze text. It allows us to see at a glance how people are feeling across a wide range of areas and has useful applications in fields like customer service, market and product research, and competitive analysis. Like any area of natural...

Evgenia Verbina    This is a guest post from Michael Kennedy, the founder of Talk Python and a PSF Fellow. Hey there. I’m Michael Kennedy, the founder of Talk Python and a Python Software Foundation PSF Fellow. I’m thrilled that the PyCharm team invited me to share my thoughts on the state of Python in . If you...

Jodie Burchell    Sentiment analysis is a powerful tool for understanding emotions in text. While there are many ways to approach sentiment analysis, including more traditional lexicon based and machine learning approaches, today we’ll be focusing on one of the most cutting edge ways of working with text large...

Cheuk Ting Ho    Generative AI and LLMs have been hot topics this year, but are they affecting trends in data science and machine learning What new trends in data science are worth following Every year, JetBrains collaborates with the Python Software Foundation to carry out the Python Developer Survey, which can...

Evgenia Verbina    Ready to boost your workflows with pre trained ML models PyCharm s integration with Hugging Face is designed to bring a new level of productivity to your machine learning and development workflows. This integration helps you seamlessly find and use the best fit model from the Hugging Face...

Helen Scott    PyCharm . comes with many improvements to JetBrains AI to help you code faster. I’m going to walk you through some of these updates in this blog post. Natural language inline AI prompt You can now use JetBrains AI by typing straight into your editor in natural language without opening the AI...

Maha Taqi    Code smarter, optimize performance, and stay focused on what matters most with the latest updates in PyCharm . . From enhanced support for AI Assistant and Jupyter notebooks to new features like no code data filtering, there’s so much to explore. Learn about all the updates on our What’s New...

Anna Maltseva    JetBrains AI Assistant . is here A highlight of this release is the flexibility to choose your preferred chat model. Select between Google Gemini, OpenAI, or local models to tailor interactions for a more customized experience. This update also brings advanced code completion for all major...

Helen Scott    Maybe you’ve heard complicated sounding phrases such as Students t test, regression models, support vector machines, and so on. You might think there’s so much you need to learn before you can explore and understand your data, but I am going to show you two tools to help you go faster....