Like so many other companies, Disney appeared destined to exit 2020 with a trail of disappointments, disasters, and cris

To me, this is the biggest productivity booster for data scientists. It enables you to work faster and make less mistakes. Plus, by writing packages, you also improve your coding skills. — Adam Votava

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r that night, after this happened, that I came across our life insurance policy in the “mailbox” we keep at the top of the basement stairs for important bills. And, in the middle of the basement floor, pulled from the dregs of boxes stored in the back closet, I found our bin of important files — birth certificates, marriage license, social security cards, passports, and so on.

A startup called Generated Media has released a tool called Anonymizer, which uses an A.I. system to analyze your face and synthesize a new portrait that’s mathematically similar. This doesn’t mean it actually looks like you, just that the algorithm thinks so.

If you were creeped out by the news of Clearview AI vacuuming more than 3 billion pictures off the internet to build a facial recognition database, then OneZero writer Thomas Smith has the tool for you.

We’ve already covered how to clean up packages you’ve pip installed — here are instructions for removing conda installed packages. If you’ve been using the conda package manager, you can free up space by removing unused packages and caches using this code:

Step 3— Using a Python IDE like atom, create modules greet_visitors.py (which will provide code for welcoming visitors as they enter the park), functions.py (which provides code to operate various rides and games), and classes.py (which will provide the templates from which we can instantiate new objects such as amusements, shops, promotions, etc.)

Linting highlights any syntactical or stylistic problems in your Python code, making it less error prone and more readable to your colleagues. Linting tools were first introduced by frustrated debuggers in 1978, and the practice does indeed get its name from the act of removing small bits of stray fabric from your clothes coming out of the dryer.

After pip installing all the dependencies for the libraries required to run your theme park, it’s possible your SSD may be a bit cluttered. Checking the size of installed package will help you understand which packages are taking up the most space. From here, you can make choices about which packages “spark joy,” and proceed to KonMari appropriately.

First, a quick note about the difference between pip and conda. pip is the Python Packaging Authority’s recommended tool for installing packages from the Python Package Index, PyPI. conda is a cross-platform package and environment manager from Anaconda.

A startup called Generated Media has released a tool called Anonymizer, which uses an A.I. system to analyze your face and synthesize a new portrait that’s mathematically similar. This doesn’t mean it actually looks like you, just that the algorithm thinks so.

Generally speaking, it is a bad idea to mix pip and conda package managers. This is because the two managers don’t speak to each other — this can create package conflicts. Consider exclusively using pip within virtual environments unless you are ready to commit to conda.

Click is a command line tool for Python that enables you to create intuitive programs and interfaces for the bash shell. Click supports options dialogues, user prompts, requests for confirmation, values from environment variables, and more.

Modules help to compartmentalize reusable code, such as Python functions, variables, and classes. Getting organized in this way can make code easier to understand and use.

As with optimizing your workspace, it may also be useful to examine the memory usage of code components. You can do this using Python’s sys.getsizeof method by implementing the following code:

We’ve already covered how to clean up packages you’ve pip installed — here are instructions for removing conda installed packages. If you’ve been using the conda package manager, you can free up space by removing unused packages and caches using this code: