#1 most frequent
United States of America
53.2%868 installations of 1,632
What is PyCharm?
PyCharm is an extensive Integrated
Development Environment (IDE) for Python developers. Its
arsenal includes intelligent code completion, error detection, and rapid
problem-solving features, all of which aim to bolster efficiency. The product supports programmers in composing orderly and maintainable
code by offering PEP8 checks, testing assistance, intelligent refactorings, and
inspections. Moreover, it caters to web development frameworks like Django and
Flask by providing framework-specific aid. PyCharm also
boasts remote development capabilities alongside integration with prominent
tools such as IPython Notebook and Anaconda.
Categories & Use Cases
Product Demos
Who Buys & Uses PyCharm
#2 most frequent
India
6.4%105 installations of 1,632
#3 most frequent
Canada
5.1%84 installations of 1,632
PyCharm is last stop for Python and GenAi Developer
Use Cases and Deployment Scope
I am a Backend Developer and writing most of code or building project is main part in my day to day life as a SWE, So for these all at our organization we preferred PyCharm IDE. It's easy to use and for a developer & it's give easy to Debug the code feature with several ways to add on extension. Like PyCharm solve problem to code and Debug at one place and easy to get in. Currently for Any API development or stuff we could easily merged and deliver. For me developing LLM based application seamlessly without taking second thoughts PyCharm giving all features to all free and paid users
Pros
- Debugging
- Latest extension support
- Community edition
- Project structure
Cons
- Remote development for community users also
- Support other languages also
Return on Investment
- As a developer improved our speed of coding and due to that project maintenance and deliver become smooth
Usability
Alternatives Considered
Microsoft Visual Studio, Sublime Text, Eclipse and Atom
Other Software Used
Sublime Text, Microsoft Visual Studio, Atom
A Robust Development Environment for Python
Use Cases and Deployment Scope
We are using PyCharm as our main development IDE for all Python development. It has proven to be a fast, robust, and reliable development platform that facilitates the day-to-day work of the development team. It has good syntax highlighting capabilities, a fast and strong code completion system, and simple integration to docker running processes. We are happy with it and will continue using it as long as possible.
Pros
- Code completion and suggestions
- Error detection with static code analysis
- Integration to docker
- AI powered code generation
Cons
- Pricing is a bit high compared to alternatives, but I am happy to pay for a good product
Return on Investment
- Speed up development time
- Allows better error detection
- Speed up unit testing time
Usability
Alternatives Considered
Microsoft Visual Studio Code and Vim
Other Software Used
Vim, DBeaver
Pycharm review from Pharma.
Use Cases and Deployment Scope
We use PyCharm to code data workflows, generate Python applications, and write in Terraform the necessary infrastructure for the data platform we are building in GCP. It allows us to develop faster due to the ease of adding widgets and extensions, the GitLab collaboration, and the console inside the IDE. The development of Python, bash, debt, and Kubernetes tools are all made in PyCharm.
Pros
- Console integration.
- Git Integration.
- Jupyter notebooks inside the IDE.
- Multiple projects.
Cons
- Connection to LLms to help us code.
- Merge commits.
- Google integration.
Return on Investment
- PyCharm for code quality.
- Automated tests.
- Integration with clouds.
Usability
Alternatives Considered
Microsoft Visual Studio Code
Other Software Used
Microsoft Visual Studio Code, Jupyter Notebook, Vertex AI, dbt
Perfect for Python projects
Use Cases and Deployment Scope
I used pycharm for a python project and it really helpful in terms of dealing with code and python environment
Pros
- pycharm analyze my code and auto suggestion really helpful to align with current content
- it automatically import necessary modules
- we can navigate to the project structure effortlessly with a clear view of modules and package
Cons
- if im working in robocorp/ robot framework code, it need some improvements in terms if keyboard shortcuts and customizations
- Git integration is a bit complex by comparing with other IDE
- sometimes continues usage make system clash even if system have recommended requirements
Return on Investment
- it increase product productivity
- improve code quality
- enhance collaboration and reduce training code
- Negatives : licensing cost
Usability
Alternatives Considered
Microsoft Visual Studio Code
Best IDE for Python and Frontend developers with Great Reliability and Features
Use Cases and Deployment Scope
Pycharm is used for Python Development. It was my first ever IDE that I started using for my Python, Machine Learning Projects and it's been the easiest IDE I find using till now. It has a simple User Interface to understand and is very beginner friendly. It can be installed on any Operating System that you use. From a Frontend Developer's perspective if you use Django Framework then PyCharm is the best tool for you as it supports many additional packages to work on. The Code Playground is very interactive and has many features like Code Coloring, auto-completion, etc. Its saves a lot of time for debugging the code too.
Pros
- Auto Code Completion
- Easy debugging Tools
- Fast and Reliable
Cons
- Errors are not clearly stated
- Launch of Application is slow
- It consumes a lot of memory
Most Important Features
- It supports many Python Packages
- Provides free plugins
- Runs code in the terminal
Return on Investment
- Best Coding Experience
- I can code very fast
- Productivity has increased
Alternatives Considered
Microsoft Visual Studio Code, IntelliJ IDEA and NetBeans
Other Software Used
Jupyter Notebook, Microsoft Visual Studio Code, IntelliJ IDEA
