Question: How do you differentiate a Junior from a Senior?

Victor Inojosa — Sun, 23 Feb 2020 16:36:12 +0000

Recently I joined a company and they cataloged me as Junior Advanced (almost a semi-senior).

Although I know I'm not a senior, I feel like semi senior and I'd like to be re-cataloged soon.

I know all these are non standardized levels and I want to make a presentation about how a Junior can become a Senior Developer.

Can you give me ideas about this?
I want to help others (and myself) to clarify this.

Use defaultdict() to handle missing keys in a dictionary

Victor Inojosa — Mon, 02 Dec 2019 14:45:27 +0000

Sometimes you have a bunch of data into a dictionary and you don't know for sure if all the keys will be in there.

... and you'll be handling this with:

data_dict.get('key1', 'missing')
data_dict.get('key2', 'missing')
data_dict.get('key3', 'missing')
data_dict.get('key4', 'missing')
...
...
...

In the code above, if any of those keys does not exist in the dictionary it will return a missing string.

A better approach for this could be the use of collections.defaultdict()

from collections import defaultdict

data = {'name': 'Victor', 'lastname': 'Inojosa', 'year': 1985}

def _get_default_error():
    return "Oops! MISSING"

#data = (lambda: "MISSING", data)
data = defaultdict(_get_default_error, data)

if __name__ == "__main__":
    print(data['name'])
    print(data['gender']) # Oops! MISSING
    print(data['city']) # Oops! MISSING

defaultdict requires a callable object (a method without invoke). As you can see you could also use an anonymous lambda function to return a simple string.

I hope this could help you in your projects! Bye!

DEV Community: Victor Inojosa

Question: How do you differentiate a Junior from a Senior?

Use defaultdict() to handle missing keys in a dictionary