PyCharm makes Python development a charm
PyCharm is used as an Integrated Development Environment (IDE) for Python code. We have close to a hundred python micro-services. These …
Starting at $9.90 per month per user
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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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Pricing
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
Product Demos
Hotel Management System Project in Phyton on JetBrains Pycharm IDE live demo with code all informati
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Python : Pycharm Introduction and Demo
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4.3 PyCharm Inspect Demo
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13.4.2020 - Pycharm Installation demo
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PyCharm debug DF Extensions
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Lecture#1 Blockchain Demo using Python in Pycharm Urdu/Hindi
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Product Details
- About
- Tech Details
- FAQs
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 Types | On-premise |
|---|---|
| Operating Systems | Windows |
| Mobile Application | No |
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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- Business Problems Solved
- Pros
- Cons
- Recommendations
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
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PyCharm is the weapon of choice in our organization for the Quality Assurance and the DevOps team in the Engineering department. In combination with plugins for Robot Framework, it helped us manage our projects and increase delivery speed, thanks to all the power features it has, from Version Control to Code Inspection.
- Syntax Highlighting: helps us read-write better code and understand what is going on with a simple glimps
- Version Control: being able to see a history of the file(s) I am working on lets me know straight away who I should contact in case I need it
- Virtual Environments: don't need to get back to the console, I can do whatever I need within my IDE
- Cross Product compatibility: being based on IntelliJ IDEA, it's very easy to move from PyCharm to IntelliJ or WebStorm
- Startup speed: could be faster
- Runtime environment: needs to change the runtime everytime I want to switch from code to test cases
- Updates: on Ubuntu 14.04, updating is a little bit troublesome: must be done manually, cannot be updated automatically
- PyCharm made development in the QA department seamless, making us worry more about the code than formatting, version control, dependencies management, etc.
- The different types of search are a blessing, especially with large projects
- Virtual Environments let us experiment with different configurations
I needed a Python dedicated solution Pycharm is the best suited, giving no hassle in setting up and providing an off the shelf solution for python development. Using Eclipse is cumbersome, some additional plugins must be installed and configured
8
Software Developers in Test
1
In general, PyCharm is so straightforward and documentation is so thorough that anyone can customize it to their wishes
- Implementing Test Cases
- Creating Automation Scripts
- Debugging existing code
- Don't need to "get out" of the IDE anymore: all the functionalities available from the shell are included in PyCharm