PyCharm 2019.1

Jupyter Notebooks

• Work with notebooks - It is easier to edit the code in your Notebook: as you’re editing the notebook, the source looks like a regular Python file. This makes light work out of navigating around your code. Of course, round trip editing is supported, and all changes made in either PyCharm or the browser will be reflected immediately.
• Run and debug cells - Jupyter Notebooks are great at helping you explore and interact with your data. With PyCharm, Jupyter Notebooks are now even easier to use, as you can quickly run and debug cells from your notebook in the IDE. Of course, many of the hotkeys from in-browser notebooks also work in PyCharm. For example, use Shift+Enter to run the highlighted cell, and select the one below.
• Server and kernel management - Get started with your notebooks quicker. With PyCharm you don’t need to start your server or kernel manually: just open a notebook and run a cell. PyCharm automatically starts the server and appropriate kernel for the notebook you’ve opened.
• Variable viewer - If you’ve lost track of the current value of a variable, you can use PyCharm’s variable viewer to make sure everything looks right.

IDE Improvements

• Recent Locations - You may often find yourself needing to move back and forth between different locations in the code when you are developing. PyCharm has long had the Recent Files popup (Ctrl+E, or Cmd+E on macOS) to help you navigate between these files quickly. However, you don’t just want to get to a file, you want to be taken to a specific location, so it's introduced the new and improved Recent Locations popup (Ctrl+Shift+E, or Cmd+Shift+E on macOS) to get you to your destination quicker.
• UI theme plugins - Improved support for UI theme plugins. Find one in the plugins marketplace by looking for 'tag: UI', or learn how to make your own.
• Sublime Text keymap - One of the hardest parts of switching to a new tool is having to learn all the new hotkeys.PyCharm added a Sublime Text keymap to make it easier for anyone switching from Sublime Text to PyCharm.
• Further improvements - Native SSH for Git: in previous versions, SSH for Git could be configured to use either built-in or native SSH. Built-in SSH was necessary in case interactive prompts would be required for authentication. In the new version, these prompts can be handled with native SSH. Native SSH supports more features, including better security protocols, so the built-in option has been removed.

Python improvements

• Debugger performance for big collections - The PyCharm debugger can now handle infinitely large collections without slowing down while initially loading the collection.
• Data class inheritance - Python 3.7 Data Classes were already supported in PyCharm, but now this support is extended to make sure that subclasses of Data Classes also get accurate code completion.
• Interpreter in status bar - When you’re developing an application for multiple environments, for example when migrating between Python or framework versions, it makes life easier when you are able to quickly switch between them and see at a glance which version you’re now using.
• Type checking for variable assignments - Python’s optional typing helps you to document your code and prevent mistakes down the line. Now furthered support for it by checking types on variable assignment.

Remote interpreters

• Vagrantfile syntax - PyCharm supports Python interpreters inside Vagrant boxes, and now also makes your Vagrantfile look good.
• SSH with sudo - You need root access to control the GPIO pins on your Raspberry Pi, so to make GPIO development easier PyCharm makes it possible to run code with root privileges over SSH in PyCharm 2019.1.

Web Development

• Improved HTML and CSS quick documentation - Just press Ctrl+Q (or Ctrl+J on macOS) to learn more.
• All new JavaScript debug console - PyCharm Professional Edition comes with the excellent JavaScript support from JetBrains WebStorm. They’ve just created a new and improved JavaScript debug console that works for both Node.JS code and in-browser JavaScript.

Unit Testing

• Multiprocess test runner for pytest - Upgraded pytest integration to support multiprocess test running.

Databases

• New database connection flow - PyCharm bundles all the SQL support from JetBrains DataGrip which has improved the process for configuring a new database connection. After configuring your database, in addition to being able to explore your tables, you’ll also get schema-aware SQL completion when writing queries in your Python code.