How it started?

Make sure you have Python 3 installed. As of right now, Python 3.8.3 is the latest version of Python.

During this tutorial we’re also going to use:

a hosted Sentry instance on sentry.io, which we’ll need an account to access
the Sentry Python helper library to send exception data to our Sentry instance
Install the above code libraries into a new Python virtual environment using the following commands:

python -m venv sentryscript
source sentryscript/bin/activate

pip install sentry-sdk>=0.14.4

Our development environment is now ready and we can write some code that will throw exceptions to demonstrate how to use Sentry.

Note that all of the code for this tutorial can be found within the blog-code-examples Git repository on GitHub under the python-script-sentry directory.

Applications

Our development environment is now ready and we can write some code that will throw exceptions to demonstrate how to use Sentry.

Note that all of the code for this tutorial can be found within the blog-code-examples Git repository on GitHub under the python-script-sentry directory.

![Image 10.jpg](https://kuragedev.s3.ap-south-1.amazonaws.com/Image_10_cea582f5f6.jpg)

Future

Our development environment is now ready and we can write some code that will throw exceptions to demonstrate how to use Sentry.

Note that all of the code for this tutorial can be found within the blog-code-examples Git repository on GitHub under the python-script-sentry directory.

![Image 12.jpg](https://kuragedev.s3.ap-south-1.amazonaws.com/Image_12_224aa9a073.jpg)

Before you start diving into learning Python online, it’s worth asking yourself why you want to learn it. This is because it’s going to be a long and sometimes painful journey. Without enough motivation, you probably won’t make it through. For example, I slept through high school and college programming classes when I had to memorize syntax and I wasn’t motivated. On the other hand, when I needed to use Python to build a website to automatically score essays, I stayed up nights to finish it.

Figuring out what motivates you will help you figure out an end goal, and a path that gets you there without boredom. You don’t have to figure out an exact project, just a general area you’re interested in as you prepare to learn Python.

Pick an area you’re interested in, such as:

- Data science / Machine learning - Mobile apps - Websites - Games - Hardware / Sensors / Robots - Scripts to automate your work

![Image 11.jpg](https://kuragedev.s3.ap-south-1.amazonaws.com/Image_11_f1f76325f2.jpg)

Make Structured Projects

Once you’ve learned the basic syntax, it’s possible to start making projects on your own. Projects are a great way to learn, because they let you apply your knowledge. Unless you apply your knowledge, it will be hard to retain it. Projects will push your capabilities, help you learn new things, and help you build a portfolio to show to potential employers.

However, very freeform projects at this point will be painful — you’ll get stuck a lot, and need to refer to the documentation. Because of this, it’s usually better to make more structured projects until you feel comfortable enough to make projects completely on your own. Many learning resources offer structured projects, and these projects let you build interesting things in the areas you care about while still preventing you from getting stuck.