PyCharm Reviews and Ratings

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

Likelihood to Recommend

For GenAi and LLM projects using PyCharm it's a well suited IDE and in some scenario like where we used different languages then in that case might be less appropriate for some developers. We could use PyCharm everywhere but for small projects i would not suggest to use PyCharm paid version.

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.

Likelihood to Recommend

PyCharm is well suited to developing and deploying Python applications in the cloud using Kubernetes or serverless pipelines. The integration with GitLab is great; merges and rebates are easily done and help the developer move quickly. The search engine that allows you to search inside your code is also great. It is less appropriate for other languages.

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

Likelihood to Recommend

it excels in working with web framewors like Django or flask. Builtin templates and plugins make the process easier.

And I dont recommend Pycharm for small scripts or quick coding

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.

Likelihood to Recommend

Pycharm is well suited for Python development with small or large teams using standard tools for source control. It works well for both server side development (backend) and for web and client development, so you can use it for your Django projects, we well as for your AI and ML projects.

Use Cases and Deployment Scope

PyCharm is used as an Integrated Development Environment (IDE) for Python code. We have close to a hundred python micro-services. These micro-services are quite complicated with millions of lines of code. We tried many IDE(s) however none of those was able to handle the complicated services we have. PyCharm makes it quite easy to develop, refactor, test, and maintain the Python code. Managing different virtual environments is very easy with PyCharm as well. Built-in version control tools help with the day-to-day task of comparing/merging. Above all, it has increased developer productivity significantly.

Likelihood to Recommend

PyCharm is an excellent IDE that helps with increasing developer productivity by abstracting the complexities of Python development from developers. It is suitable for the development of Python micro-services using frameworks like Flask/Django. It allows developers to develop/re-factor/test and deploy the micro-services. It is quite suitable for the development of small-large Python projects with more than 2 Python files. Although I can confidently recommend PyCharm for any team, it would not be suitable for writing independent (isolated) scripts. There are other tools available to solve that problem

Use Cases and Deployment Scope

We use PyCharm for doing machine learning experiments and quickly writing task-specific scripts in python, it is very useful when we want to perform multiple experiments with minor changes as it is very fast to do code changes and run experiments in PyCharm because it gives us useful suggestions whenever we need them.

Likelihood to Recommend

It's easy to create virtual environments and install packages for different projects as we may need project-specific packages for doing our experiments, also it's easy to see what changes we have made and create pull requests faster. But sometimes we want some light python editor like Jupiter notebook as PyCharm is relatively heavier, also Jupiter notebooks are a good option when we need to run remote code on local machines.

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.

Likelihood to Recommend

The best thing about PyCharm is that it is simple to use which makes it beginner-friendly. It is interactive and has many features like auto-completion of code and suggestions. The programmer feels very convenient and comfortable working on a project which is bug-free. It also provides add-ons or plugins that make you more productive which is a great advantage.

Use Cases and Deployment Scope

This environment was selected for use by the back-end software developers at Strata, developing an AWS application. It was selected because of its versatility and ability to effortlessly synthesize all the project files and software relationships, and its flexibility for working in different development environments, user permission levels, etc. It is a full-featured development suite!

Likelihood to Recommend

PyCharm is a great tool, and once you start to learn how to leverage its features for your daily activities and testing, it simply becomes more and more indispensable. It's a very well-designed, fully-featured environment available for every major OS, and would be my first choice for any large-scale development project. However, if working with single files, this environment is likely overkill.

Use Cases and Deployment Scope

I use PyCharm professional edition mainly for my school work and some office work to program in python for data science and other needs. It's a great idea from Jetbrains it seems to be built on Eclipse from the look and feel of it. I think it's like Eclipse on steroids.

Likelihood to Recommend

I think python programs can best be written and managed in PyCharm. As part of my school work, I use PyCharm extensively when I am not using Jupyter notebooks. We can manage packages and unit the code easily from PyCharm.

Use Cases and Deployment Scope

Most of the Python Developers across my organization and Data Scientists use Pycharm as Integrated Development Environment for developing python abased applications. It has so many built-in functionalities that make developer life a lot easier.

Likelihood to Recommend

It improves the productivity of developers when writing code for application development. The tool is intuitive and is packed with very powerful features that makes developer life so easy. Many available themes and colors make it perfect to distinguish small nuances of code. It clearly shows errors and helps fix those with recommendations. Lot of add ons again make it perfect for python developers.

Improveme[n]ts:

Free version has most of the features but not all. VS code is free and offers more features.