Pycharm is a popular open-source development environment (IDE) for the Python programming language. It has a number of features that make it a great choice for programmers who are interested in a high-level of productivity while developing their software. This post will walk you through the process of installing TensorFlow, a neural network framework built on the Google Cloud Platform, in Pycharm. If you are already familiar with the Python programming language and want to see how TensorFlow can be integrated into your existing Python application, then keep reading. If you are just starting out with Python and want to learn the basics of Machine Learning and AI, then skip to the end.
What is TensorFlow?
TensorFlow is an open-source software that enables you to create AI algorithms using a high-level language interface. It has been developed by Google as an extension of its Cloud AI framework. The TensorFlow software was developed to be used with the Google Cloud Platform. It offers an easy-to-use interface for creating and managing AI algorithms, which can be deployed to Google Cloud Platform or another cloud provider. Google uses the technology to power its machine learning services like Google Cloud Trot, which allows users to train neural networks on a massive scale. The data is stored on their own cloud server farms.
What is Pycharm?
Pycharm is an open-source development environment (IDE) for the Python programming language. It was originally developed by JetBrains as an extension of its IDEA software franchise. It is focused on being highly accessible to programmers of all skill levels. It aims to make it very easy for them to create software that uses the language features of Python. Pycharm features an integrated code editor, a debugger, a code generator, a code navigation tool, a shell, integrated language support for certain platforms (e.g. Windows), and much more. It can be used as a static code review tool, code conversion tool, and even as a coding school.
What is Pycharm Extension system?
The Pycharm Extension system is a collection of utilities that allow you to integrate functionality from other software packages into your Pycharm application. For example, you can integrate any number of code review tools with your system. Alternatively, you can extend the functionality of your IDEA software by installing the Extension system.
Install TensorFlow with Pycharm | How to Install TensorFlow in PyCharm
First, you need to install pip on your computer. You can find it in the Python installation folder (e.g. /usr/local/bin/python). Next, let’s assume that you want to install TensorFlow in a program called pythia. To do this, type the following in the command line and enter Pythia to start the IDE: pip install tensorflow
- Open
File > Settings > Projectfrom the PyCharm menu. - Select your current project.
- Click the
Python Interpretertab within your project tab. - Click the small
+symbol to add a new library to the project. - Now type in the library to be installed, in your example
"tensorflow"without quotes, and clickInstall Package. - Wait for the installation to terminate and close all popup windows.
Use TensorFlow with Pycharm
After installing TensorFlow, you can use it in your Pycharm projects just as you would with other technologies. You can use it in your code editor, in your debugger, on your code generation tool, and so on. To use TensorFlow in your Pycharm project, add the path to the location where you stored the TensorFlow library andrower.
For example, if you stored the TensorFlow library in the directory called TensorFlow, then your Pycharm project would look like this: from tensorflow import distribution import pycharm # Set up the API key and token from the documentation token = ‘XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX’ doc = ‘https://tensorflow.org/ key = token.split(‘.’) key = key[key[0]] # Create a new project called ‘TensorFlow’ project = pycharm.new project(key)
Conclusion
After following this guide, you should be able to install and use TensorFlow in your Pycharm projects. TensorFlow is a machine learning framework that enables developers to create AI algorithms using a high-level language interface. It was originally developed by Google as an extension of its Cloud AI framework. To use TensorFlow in your Pycharm projects, you need to install it and add the location where the library is located to your project. Afterward, you can use it just as you would other technologies using the same IDE.
