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Overview

What is PyCharm?

According to the vendor, PyCharm is an extensive Integrated Development Environment (IDE) specifically designed 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 endeavors to support programmers in composing…

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Recent Reviews

TrustRadius Insights

PyCharm, a widely used IDE for Python development, has gained recognition from various users and organizations for its versatility and …
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My review on PyChram

10 out of 10
August 27, 2022
Incentivized
We use PyCharm for doing machine learning experiments and quickly writing task-specific scripts in python, it is very useful when we want …
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PyCharm for Python

9 out of 10
August 16, 2021
Incentivized
I use PyCharm professional edition mainly for my school work and some office work to program in python for data science and other needs. …
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Extensive Python IDE

9 out of 10
March 11, 2020
Incentivized
It is used by several departments in the organization to develop Web applications, and machine learning algorithms/pipelines. For the case …
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PyCharm

9 out of 10
February 22, 2020
Incentivized
We use it for software development. It is used only by the Engineering dept and a few folks from other departments who code regularly. It …
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Awards

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Reviewer Pros & Cons

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Pricing

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For Individuals

$99

On Premise
per year per user

All Products Pack for Organizations

$249

On Premise
per year per user

All Products Pack for Individuals

$289

On Premise
per year per user

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.jetbrains.com/store/#person…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $9.90 per month per user
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Product Demos

Hotel Management System Project in Phyton on JetBrains Pycharm IDE live demo with code all informati

YouTube

Python : Pycharm Introduction and Demo

YouTube

4.3 PyCharm Inspect Demo

YouTube

13.4.2020 - Pycharm Installation demo

YouTube

PyCharm debug DF Extensions

YouTube

Lecture#1 Blockchain Demo using Python in Pycharm Urdu/Hindi

YouTube
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Product Details

What is PyCharm?

According to the vendor, PyCharm is an extensive Integrated Development Environment (IDE) specifically designed 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 endeavors to support programmers in composing orderly and easily 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. The vendor asserts that PyCharm is suitable for industries or professions engaged with Python programming. It also boasts remote development capabilities alongside integration with prominent tools such as IPython Notebook and Anaconda. According to them, industry experts highly favor PyCharm with a global recognition within numerous companies.

Framework-Specific Support

The product aims to offer a variety of features such as debugging capabilities for Django templates, integration with manage.py and appcfg.py tools, special autocompletion and navigation functionalities. Additionally, PyCharm provides extensive support for various Python web development frameworks, specific template languages, as well as JavaScript, CoffeeScript, TypeScript, HTML/CSS, AngularJS, Node.js, among others. This comprehensive framework-specific support facilitates efficient workflow within preferred frameworks and enhances the overall development process.

Intelligent Code Completion

The PyCharm tool includes an intelligent code completion feature that claims to provide developers with accurate suggestions as they write their code. This functionality is intended to increase productivity and reduce errors in software development projects. Leveraging its understanding of the codebase, PyCharm offers context-sensitive, schema-aware code completion which considers factors such as table structure and foreign keys in database-driven applications. It also supports multiple programming languages including Python, JavaScript, CoffeeScript, TypeScript, CSS, and popular template languages. Additionally, PyCharm provides time-saving features such as automatic code formatting and indentation, code snippets/live templates, braces matching, code commenting capabilities, and autocompletion with type inference. Overall, the product aims to simplify the coding process for developers through its extensive intelligent code completion capabilities.

Remote Development Capabilities

PyCharm offers a unified user interface (UI) for version control systems, including Git, SVN, and Mercurial, with the goal of improving efficiency in full-stack development. The product enables developers to streamline remote deployments to virtual machines or remote hosts by integrating Vagrant and Docker infrastructure management capabilities. Additionally, PyCharm provides a comprehensive suite of tools such as an integrated debugger, test runner, Python profiler, built-in terminal, integration with major version control system (VCS) and database tools, support for remote interpreters via an integrated SSH terminal, and seamless integration with Docker and Vagrant for running and debugging local code in remote or container environments. These features facilitate effortless project configuration using SFTP or FTP scenarios for deployment while also enabling IDE-based terminal access to remote systems via SSH. Overall, PyCharm's functionality around VCS, Deployment, and Remote Development significantly contributes to enhancing developer productivity.

SQL Support

The product offers features such as editing tables and schemas, refactoring capabilities, import/export functionalities, and more. Its main objective is to improve productivity by providing direct access to popular SQL databases like Oracle, SQL Server, PostgreSQL, MySQL, etc., from the integrated development environment (IDE). It assists users in editing SQL code, executing queries, browsing data, and modifying schemas. The tool enables seamless data movement into and out of databases using formats like CSV/JSON/XML or through programming-based Data Extractor utilities. PyCharm Professional also incorporates intelligent code editor functions for integrating SQL with Python strings. Autocomplete functionality is available for both SQL commands and schema definitions of the specified datasource. Visualizing database objects organized within folders by schemas is supported as well. The tool's user-friendly interface facilitates adding/editing tables, columns, indexes, constraints, etc. Additionally, it supports introspection of shared databases along with their contents while considering any datashares associated with these databases.

PyCharm Technical Details

Deployment TypesOn-premise
Operating SystemsWindows
Mobile ApplicationNo

Frequently Asked Questions

PyCharm starts at $9.9.

Reviewers rate Support Rating highest, with a score of 8.3.

The most common users of PyCharm are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(203)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

PyCharm, a widely used IDE for Python development, has gained recognition from various users and organizations for its versatility and user-friendly interface. Quality Assurance and DevOps teams in the Engineering department rely on PyCharm to effectively manage projects and enhance delivery speed. Additionally, LinkedIn recommends PyCharm as a valuable tool for all Python development tasks.

Furthermore, PyCharm has proven to be an excellent choice for data analysis applications. Users have found it to be versatile for tasks such as descriptive stats, visualization, cleaning, prepping, and other data analysis activities. Its plugin support, tooling capabilities, and simple user interface make PyCharm the default IDE for Python development in many organizations.

Back-end software developers highly appreciate PyCharm's ability to synthesize project files and software relationships, as well as its flexibility in different development environments. This IDE is also favored by employees who engage in code development and reproducible research. The Business Intelligence department relies on PyCharm for their Python-based big data analytics tasks.

PyCharm's effectiveness extends beyond Python development alone. It is often used alongside other JetBrains development software for unit tests and applications based on Python. With its integration with the Django Framework and support for additional packages, PyCharm proves to be beginner-friendly while catering to the needs of experienced developers.

Furthermore, data scientists and analysts utilize PyCharm extensively in their data science and analytics endeavors. Its adoption as the de facto standard for Python development in organizations speaks volumes about its capabilities. Users have found PyCharm invaluable for developing web applications, machine learning algorithms/pipelines, UI test automation, API test automation, data scraping and parsing, converting data formats, implementing machine learning projects, and developing desktop applications in various engineering fields.

Developers appreciate PyCharm not only for its ease of installation but also for its suggestions and package/plugin management. This IDE empowers Python developers and data scientists to gain velocity in development and eliminate boilerplate code. With its extensive range of use cases, PyCharm proves to be a valuable tool for the development of machine learning solutions, including preprocessing datasets, implementing algorithms, and API development.

Syntax Highlighting: Users have found Syntax Highlighting in PyCharm to be extremely helpful for understanding code with just a glimpse. They appreciate how it improves their code reading and writing experience by providing visual cues and color-coded formatting. This feature allows them to quickly identify syntax errors, variable references, and function calls, ultimately enhancing their overall productivity.

Version Control: Many users praise Version Control in PyCharm for its ability to provide a comprehensive history of files they are working on. It allows them to easily track changes, compare revisions, and collaborate with other team members effectively. The integration of version control within the IDE streamlines their workflow and ensures efficient project management.

Virtual Environments: Several reviewers highly value the convenience of Virtual Environments within PyCharm. By enabling them to create isolated environments for different projects, it eliminates conflicts between dependencies and makes it easier to manage package installations. Users can seamlessly switch between environments without leaving the IDE, thereby improving their efficiency and focus during development tasks.

Slow Startup Speed: Some users have mentioned that PyCharm has a slow startup speed and can take a while to load, causing annoyance for users.

Inconvenient Runtime Environment: Users found the runtime environment in PyCharm to be inconvenient as they had to manually change the runtime every time they wanted to switch from code to test cases, which added extra steps and could disrupt their workflow.

Troublesome Updates: Updating PyCharm on Ubuntu 14.04 was reported to be troublesome for some users, as it had to be done manually and could not be updated automatically. This manual process caused inconvenience and frustration for these users.

Users commonly recommend PyCharm for Python development, suggesting it to anyone working with Python. They advise trying the free version before purchasing the professional one, as PyCharm has a learning curve but is worth getting used to. Users suggest utilizing PyCharm for complex data analysis and implementing machine learning algorithms. Another common recommendation is to try out the community edition of PyCharm before investing in the full product. Users also suggest taking advantage of PyCharm's intelligent code completion feature and exploring other development frameworks like Django. Finally, users highly recommend taking the time to learn PyCharm's features, especially debugging, as it is a powerful and useful IDE. They emphasize that PyCharm is suitable for developers of all levels, as it is considered the most enterprise-level IDE available.

Attribute Ratings

Reviews

(1-25 of 38)
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Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Manage Python virtual environments
  • Easy development of Python code, refactoring, and auto-indentation
  • Integration with Docker
  • Integration with GitLab and Git
  • PyCharm text editor automatically inserts whitespace at the end of each line which can cause issues when doing text comparisons.
  • The package requirement checker and installer does not work well all the time and can be improved
  • Integration with GitLab pipelines can be made better.
August 27, 2022

My review on PyChram

Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Good code completion suggestions.
  • Better git support.
  • Easy to create virtual environments.
  • It will be better if Jupyter Notebook can be integrated with it.
  • Some ready-made frequently used python code can be provided for quickly doing machine learning experiments.
  • Git support can be improved.
Jonathan Warren | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Synthesizes large projects (lots of files, references, etc.)
  • Provides code testing, stop points, and integration with venvs
  • Excellent cross-referencing functionality for tracking variables and workflows
  • Allows nearly all development work to be contained within its environment
  • Can run pretty slow on older hardware
  • Feature-dense - hard to know how to unlock value immediately, big learning curve
  • Somewhat confusing git integration - merging is very confusing
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Very intuitive and Simple IDE for developers.
  • So many plugins are available and are free to use which improves the productivity.
  • Inbuilt virtual environment creation makes dependency management very easy.
  • Terminal is inbuilt and again improves the productivity.
  • Source control management is baked in to easily resolve any code conflicts.
  • Some time add ons don't work as expected.
  • It takes up lot of memory when 2 or more projects are open at the same time.
  • Setting up proxies is not straight forward.
  • Most of the features in paid version are now available in VS code for free.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • It's really intuitive and easy to use
  • It's easy to switch between versions of Python, which is something pretty useful in this language
  • The syntax highlights help us when writing code, making our time more efficient
  • Even though it is meant for Python, it works really well with other languages, which makes it a very versatile tool.
  • It can be a little slow to startup
  • It's expensive for amateur work, so if you are a freelancer DevOp this probably won't be affordable
March 11, 2020

Extensive Python IDE

Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Software development.
  • Debugging.
  • Code completion.
  • Git visualization.
  • Package management.
  • Python.
  • Its great and huge feature set comes at the cost of space, complexity and speed.
February 28, 2020

Best IDE tool for Python

Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Default indentation picks up, which helps developers a lot as most of them (who are new to Python) makes an error while creating a method, using a loop or such thing.
  • Switch between one project to the other is done very easily using Pycharm when compared with other tools.
  • Syntax highlighting and printing different colors for a method, variable, code, and comment also helps in concluding what is what.
  • One can create a java file, can connect to DB, can connect to different servers with Unix, and can also create an automation framework using a robotic framework, which in turn makes it an RPA tool.
  • Light and dark theme also helps a lot while working at late nights and during the daytime.
  • Copy-paste does not work correctly. The default printing is in the form of Insert. I always need to press the enter button to come out of the insert mode and also have to right-click and select copy or paste instead of default CNTRL c and CNTRL V. It is working good for some others in the team, and I am not able to fix this.
  • Too much of underlining the code considering negligible errors make the code look bad.
  • Auto suggestions sometimes does not work as expected.
February 22, 2020

PyCharm

Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Searching files
  • Search content inside files
  • Shortcuts for navigation
  • Auto re-load
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • You can debug easily.
  • We can execute code directly from PyCharm.
  • It also can install packages.
  • It gives suggestions while scripting.
  • It can commit code on Git through PyCharm.
  • I don't see any issues whatsoever.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Connectivity with various databases, to perform queries in the IDE itself.
  • Integration with major version controllers. Performing all commands in the IDE itself.
  • Quickly and conveniently install, update and remove plugins in the IDE itself using the repositories.
  • Real-time coding verification to warn of misuse of methods and/or functions.
  • Process of searching for files by name or by source code snippets.
  • Access to files that refer to their encoding as a native file that contains one class declaration being used in another by clicking on the class name, for example.
  • The process of upgrading IDE versions can be improved for the Linux environment as we need to download a new version and use it. This does not happen when it works on Windows.
  • Failure to learn to learn all the features of the IDE, making the most of all its functions. At least I didn't find this description.
  • The value of the full version is very expensive, thinking about the location I am in.
  • These new versions use a lot of machine feature. Java consuming a lot of memory.
November 16, 2019

Best Python IDE

Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Support for multiple frameworks.
  • You can easily manage virtual environments, including choosing different instances of Python.
  • Embedded package manager (pip).
  • Pricing is too high.
  • In the community edition lack of framework support.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Auto code-complete suggestions are very useful.
  • Debugging breakpoints enable quick debug.
  • integrated python interpreter allows one to test code immediately.
  • The IDE project environment setup is not intuitive and can be difficult for a naive user.
  • It does not have good integration with Jupyter notebooks.
  • The integrated python interpreter runs in a virtual environment which needs to be maintained separately when using new imports .
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Auto completion which is great for Python projects.
  • Shows errors on the fly.
  • Exploring the codes in different modules.
  • Fixing of code errors is easy.
  • A lot of keyboard shortcuts to jump to different sections of code, find/replace things in file whole module or path.
  • Paid version is needed to better support HTML/Javascript.
  • Programming in R is not fully supported.
  • It's a bit more bulky then other IDE's but I guess that's needed for complete software development.
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