using new modules without polluting your system
in this exercize we’re going to use pipenv to try out some new modules without polluting your environment
start a new project called cute-python
make a new folder called cute-python
# useful: current directory
import os
os.path.realpath('.')
if not os.path.exists('cute-python'):
os.mkdir('cute-python')
os.chdir('cute-python')
os.path.realpath('.')
function that downloads image from web
remember to use
pipenvfor this step
we want to download a particular image from the web:
why not use an awesome library to perform our HTTP download for us?
lets see if this library is indeed so awesome without affecting our whole system.
1. use `pipenv` to install the `requests` library for the `cute-python` project
2. use the [requests](https://2.python-requests.org/en/master/) library to write a function that downloads the image file mentioned above to a file called `cute-python.jpg`
> hint: you're looking for the `requests.get()` function, <br>
> you need to write the _content_ to a binary file opened like this `open('cute-python.jpg', "wb")`
<div markdown="1" class="cell code_cell">
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```python
# run this in the shell:
"""
>> pipenv install requests
"""
</div>
</div>
code = """
import requests
def download():
url = 'https://inews.co.uk/wp-content/uploads/2018/03/Nobody-expects-the-Spanish-Inquisition_.jpg'
with open('cute-python.jpg', 'wb') as file:
r = requests.get(url, allow_redirects=True)
file.write(r.content)
if __name__ == '__main__':
download()
"""
with open('download.py', 'w') as codefile:
codefile.write(code)
# run this in the shell
"""
>> pipenv shell
(cute-python) >> python download.py
"""
lets also show the file
here’s some code based on matplotlib and pillow modules that can show the image
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
plt.imshow(mpimg.imread('cute-python.jpg'))
plt.show()
- lets use pipenv to get these two modules for our project
- lets add this code to a file called
show.pyand run it
# run this in the shell
"""
>> pipenv install pillow matplotlib
"""
code = """
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
plt.imshow(mpimg.imread('cute-python.jpg'))
plt.show()
"""
with open('show.py', 'w') as codefile:
codefile.write(code)
# run this in the shell
"""
>> pipenv run python show.py
"""
what are our project’s dependencies?
- what libraries we actuall care about did we install
- what sub-dependencies were installed in addition?
!pipenv graph