安装pycharm，选择 Activate new license with License server （用license server 激活） 在 License sever address 处填入 点击 Activate 进行认证 二、激活码激活. 修改hosts文件： 添加下面一行到hosts文件，目的是屏蔽掉Pycharm对激活码的验证. 0.0.0.0 account.jetbrains.com.
- You must have the solid professional knowledge to take advantage of all the features. The PyCharm license key also comes with many plug-ins that make it more useful to its users. You can integrate different types of plug-ins, including additional tools, VCS support, more web frameworks, and any other editing enhancements you need.
- Student license holders can get a 25% Graduation discount, which can be used towards the purchase of a new personal subscription for any single JetBrains product or for the All Products pack. The same 25% Graduation discount is offered to students of coding bootcamps and training courses who have used free coupon codes during their training.
According to a survey done by JetBrains, “Python is the primary language used by 84% of programmers who use Python. Furthermore, almost 58% of developers use Python for data analysis while 52% use it for web development. The use of Python for DevOps, machine learning, and web crawling or web scraping follow close behind along with a multitude of other uses.”
PyCharm – a Cross-Platform IDE for Python Developers
In order to get the most out of Python, especially in terms of data analysis, it is important to find an integrated development environment that offers the most in terms of editing code and visualizing results. PyCharm is an IDE developed by JetBrains, the brains behind big development tools like PhpStorm.
The primary component of PyCharm, its code editor, offers intelligent context-based auto-completion of code, code suggestions, and code snippets. It allows programmers to create logical code blocks to separate program modules. The editor is efficient in identifying and highlighting errors as code is written. Code navigation has never been easier as PyCharm allows programmers to quickly jump to a particular snippet, object, or class in the source code. PyCharm also has tons of refactoring features which makes it easy for developers to make organized changes. Support for web technologies like HTML, CSS, JavaScript, and more combined with PyCharm’s live edit and view webpage environment makes it a powerful tool for web development in Python.
“Literate Programming” with Jupyter Notebook
Another IDE that comes into play when talking about Python is Jupyter Notebook, formerly known as IPython Notebook. Jupyter Notebook is especially important in giving shape to what Donald Knuth, a computer scientist from Stanford, famously called “literate programming”. Literate programming is a standard form of programming that focuses on the human readability of code. It allows programmers to give shape to the logical units of their code, the meaning of those code units, and their results. Compiled, a notebook presents code as a complete and understandable thought process and its technological manifestation.
To support literate programming, Jupyter Notebook has a multitude of tools available which provide complete liberty to edit code with its relevant supporting prose. Starting at the basic level, notebooks (the files in which code is written) have the ability to separate code into “cells”. Cells make it easy to differentiate between specific functionality. Apart from code cells, there are markup cells available where it is easy to type code descriptions, significance, or results. Editing options for markup cells are endless; you can play around with text formats, images, and even mathematical equations and diagrams.
With the extensive support for integrating Jupyter Notebook in PyCharm, developers have found it a whole lot of easier to create, execute and debug source codes while examining their outputs simultaneously.
What features are included for Jupyter Notebooks in PyCharm?
PyCharm allows you to make changes to your source document in a number of ways:
- Editing and making previews
- Use notebook as source code with definitions in form of texts
- Live previews along with debugging
- Options for Auto-saving your code
- Highlighting of all types of Error and syntax mistakes
- Ability to add line comments
- Ability to execute and preview results simultaneously
- Allows using the dedicated Jupyter Notebook Debugger
Let’s you recognize .ipynb files with the icon
Jupyter Notebook in PyCharm
Jupyter Notebook’s powerful code writing and editing capabilities and PyCharm’s elite dedicated debugging module for Jupyter, code navigation, framework support, plugin support, and error detection combined can form a development environment which lacks little.
Now the question is how to achieve an integrated development environment that combines the functionalities of PyCharm and Jupyter Notebook. The short answer is that this is currently only possible with a licensed version of PyCharm Professional. PyCharm Professional is not free. However, you can get a free license if you are affiliated with an educational institute and have a .edu email address.
The long answer to the aforementioned question of how to integrate Jupyter Notebook with PyCharm is given below:
- First, you should create a new project.
- In that project, create a new ipynb file by going to File > New… > Jupyter Notebook.This should open up a new notebook file.
- If you don’t have the Jupyter Notebook package installed, an error will appear above the newly opened ipynb file. The error reads “Jupyter package is not installed” and next to it you will have the option to “Install jupyter package”. Click on “Install jupyter package”. This will start the installation process which you can view by clicking on the running processes in the bottom right corner of the PyCharm window.
- To start exploring Jupyter Notebook in PyCharm, create code cells and execute them.
- To launch the Jupyter server, execute the code cell.The Jupyter server is then launched using 8888 port by default on the localhost. You can view these configurations in the server’s tool window.Once launched, you can view the server above your source code window and next to it you can view the kernel created as “Python 2” or “Python 3”.
- You can now access the variables tab in PyCharm to view how the values of your variables change as you execute code cells. This helps in debugging.
- You can even set breakpoints at lines of code and then click on the Run icon, , and select “Debug Cell” (or alternatively use the shortcut Alt + Shift + Enter) to begin debugging.
- The following tabs at the bottom of the PyCharm window are essential to using Jupyter Notebook: The “TODO” tab is where you can view TODO comments and easily navigate to them by double-clicking on them in the TODO tab. The “Jupyter” tab is the Jupyter Server log. The “Terminal” is the python terminal where you can write python commands. The “Python Console” is the console where you can view code and its output line by line.
Getting along with the User Interface
Out of the many components of the user interface, let us begin exploring the ones you can work with.
Viewing Modes
PyCharm offers three viewing modes to edit your Jupyter notebook files:
1. Editor Only Mode
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This allows adding and editing notebook cells.
2. Split View Mode
The split view mode lets you both add cells and preview their output. This is also the default-viewing mode for all Jupyter notebooks in PyCharm.
3. Preview Only Mode
Here you can preview your code execution results, raw cells and code markdown.
Toolbar
The toolbar provides a number of shortcuts that provide quick access to all basic operations you are going to work with.
The Server Log
The Server log appears when you launch any of the Jupyter Servers. It shows the current state of the server and link to the notebook that you are currently working on.
The Variables Tab
This tab provides a detailed report on the variable values present in the executed cell.
Now that you are familiar with the basics of editing and debugging Jupyter Notebooks in PyCharm, you can go ahead and install the Jupyter package in PyCharm for yourself. From here on, you can fully explore its features and use them to your satisfaction!
Be More Productive
Save time while PyCharm takes care of the routine. Focus on the bigger things and embrace the keyboard-centric approach to get the most of PyCharm's many productivity features.
Get Smart Assistance
PyCharm knows everything about your code. Rely on it for intelligent code completion, on-the-fly error checking and quick-fixes, easy project navigation, and much more.
Boost Code Quality
Write neat and maintainable code while the IDE helps you keep control of the quality with PEP8 checks, testing assistance, smart refactorings, and a host of inspections.
Simply All You Need
PyCharm is designed by programmers, for programmers, to provide all the tools you need for productive Python development.
Intelligent Python Assistance
PyCharm provides smart code completion, code inspections, on-the-fly error highlighting and quick-fixes, along with automated code refactorings and rich navigation capabilities.
Web Development Frameworks
PyCharm offers great framework-specific support for modern web development frameworks such as Django, Flask, Google App Engine, Pyramid, and web2py.
Scientific Tools
PyCharm integrates with IPython Notebook, has an interactive Python console, and supports Anaconda as well as multiple scientific packages including matplotlib and NumPy.
Cross-technology Development
In addition to Python, PyCharm supports JavaScript, CoffeeScript, TypeScript, Cython, SQL, HTML/CSS, template languages, AngularJS, Node.js, and more.
Remote Development Capabilities
Run, debug, test, and deploy applications on remote hosts or virtual machines, with remote interpreters, an integrated ssh terminal, and Docker and Vagrant integration.
Built-in Developer Tools
A huge collection of tools out of the box: an integrated debugger and test runner; Python profiler; a built-in terminal; and integration with major VCS and built-in Database Tools.
| PyCharm Professional Edition | PyCharm Community Edition |
| Intelligent Python editor | |
| Graphical debugger and test runner | |
| Navigation and Refactorings | |
| Code inspections | |
| VCS support | |
| Scientific tools | |
| Web development | |
| Python web frameworks | |
| Python Profiler | |
| Remote development capabilities | |
| Database & SQL support |
PyCharm Educational Edition
What Is Professional License
Have you ever wanted to learn programming with Python? Or maybe you're using Python to teach programming?
Then we have the perfect tool for you.
Michael Kennedy
Host, Talk Python to Me Podcast
Founder Talk Python Training
I'm in the unique position of asking over 100 industry experts the following question on my Talk Python To Me podcast. 'When you write some Python code, what editor do you open up?' While the answers vary, it is frequently PyCharm. The reasons the guests give are usually the same reasons I've been a PyCharm advocate for years.
PyCharm deeply understands your project, not just individual files
Refactoring is a breeze across an entire project
The built-in SQL tooling is amazing
Autocomplete works better than any other editor, by far
That's just a few reasons I open PyCharm daily to build my web properties and manage the software that runs my business.
Cory Althoff
Author of The Self-Taught Programmer: The Definitive Guide to Programming Professionally
PyCharm is the best IDE I've ever used. With PyCharm, you can access the command line, connect to a database, create a virtual environment, and manage your version control system all in one place, saving time by avoiding constantly switching between windows. I couldn't imagine going back to programming without PyCharm's local history feature and debugger. Add the rest of its convenient shortcuts and features, and you have the perfect IDE.
Collaborative development
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Code With Me connects remote teams in a feature-rich collaborative coding environment.
Your peers do not need to have an IDE of their own installed to collaborate with you. Code With Me includes embedded audio and video calls.
Auto import on module member completion
PyCharm now automatically adds an import statement when you refer to a module or package name in your code and invoke code completion for available module members. Auto-import also works for popular package name aliases, such as np for NumPy or pd for pandas.
Work directly with WSL projects
You can now work directly with projects located in the WSL filesystem. With PyCharm you can now open any directory in wsl$. For version control, you can use the version of Git installed on your WSL instance.
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