I try to read the best writing I can. The better quality I take in, the better I’ll put out. I try to read stories that

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.

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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ment: The shorthand technique (JSON.parse(JSON.stringify(obj))) doesn’t work if your object property contains function, undefined or NaN as value. Because when you JSON.stringify the object, the property containing function, undefined or NaN as value gets removed from the object.

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:

Where am I today compared to where I was when I started? I’m infinitely higher as a writer. I can either look at all my bad writing as a worthless waste of time, or I can look at it as a pile I’m standing on that elevates me to a level I’d never have reached without it.

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.

Moreover, correlation lacks the capability to provide information about asymmetry of a relationship. For example, knowing a customer’s favorite part of the park might not predict their favorite ride, but knowing their favorite ride would have much stronger predictive power for evaluating their favorite part of the park.

Having good taste coupled with a desire to work is the path to reaching your potential. Not loving your work means you are closing that gap between where you are and your potential.

“All of us who do creative work, we get into it because we have good taste. But there is this gap. For the first couple years you make stuff, it’s just not that good. It’s trying to be good, it has potential, but it’s not. But your taste, the thing that got you into the game, is still killer. And your taste is why your work disappoints you.

On line 15, pandas creates a new column (‘sheet’) containing the last word of the sheet name as its value. If the sheets in Ticket_Sales_Total.xlsx are named Ticket Sales 2017, Ticket Sales 2018, and Ticket Sales 2019, then the read_excel_sheets() function will append each row with the relevant year from the sheet name.

I can imagine the perfect article in my head, I just don’t have the chops to write it yet. I know how some writing from other authors has made me feel. Someday I want to write in a way to make others feel the same way. Inspired. Amazed. Like I’m sitting alone with that author and they are talking directly to me.

Correlation is limited because it will miss non-linear relationships (for example, a quadratic relationship charting daily temperature and theme park ticket sales, a step function that represents the ticket price of an amusement against the number of people waiting in line, or the gaussian function used at the “Guess Your Weight” carnival game). Any relationships related to categorical variables will also be missed by a correlation matrix.

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.

By contrast, the Predictive Power Score can detect non-linear effects, automatically encodes categorical variables, and quantifies asymmetry. It computes predictive relationships between pairs of columns and provides a score ranging from 0 to 1.

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.)