Is pycharm the same as python?

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Release: 2019-06-14 16:08:25
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Is pycharm the same as python? What is Python? What is pycharm? Let’s take a look now.

Is pycharm the same as python?

Python is a computer programming language. It is an object-oriented dynamic type language that was originally designed for writing automated scripts (shells). With the continuous updates of the version and the addition of new language features, it is increasingly used for the development of independent and large-scale projects.

PyCharm is a dedicated IDE for Python, similar to Java's IDE Eclipse. The full-featured integrated development environment provides both paid and free versions, namely Professional Edition and Community Edition. PyCharm is the fastest IDE to install, and the configuration after installation is also very simple, so PyCharm is basically the first choice IDE for data scientists and algorithm engineers.

For those who like IPython or Anaconda distributions, PyCharm can also easily integrate tools such as Matplotlib and NumPy, which means that we can easily use array viewers and interactive tools when working on data science projects. Charts etc. In addition, the IDE has also expanded support for languages ​​such as JavaScript and Angular JS, making it also suitable for web-side development.

After the installation is complete, we can quickly create a Python project and select the interpreter and new code files. We may use tools such as conda to maintain different environments, such as TensorFlow or PyTorch. When establishing a new project, just selecting the Python main program in these environments is equivalent to selecting a new environment. Finally, in addition to providing direct debugging and running functions, PyCharm also provides support for source code and project control.

Advantages:

Active community support

Supports comprehensive Python development, whether it is data science or non-data science projects

Easy to use for both novices and veterans

Fast Reindexing

No additional support is required to run, edit, and debug Python code

Disadvantages:

Loading may be slow

You may need to adjust the default settings before using an existing project

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