Yes, I am aware I misspelled New Delhi 🤦♂ # dictionary = A changeable, *ordered collection of unique key:value pairs # Fast because they use hashing, allow us to access a value quickly # *dictionaries are now ordered as of Python version 3.7 capitals = {'USA':'Washington DC', 'India':'New Delhi', 'China':'Beijing', 'Russia':'Moscow'} # capitals.update({'Germany':'Berlin'}) # capitals.update({'USA':'Las Vegas'}) # capitals.pop('China') # capitals.clear() # print(capitals['Germany']) # print(capitals.get('Germany')) # print(capitals.keys()) # print(capitals.values()) # print(capitals.items()) for key,value in capitals.items(): print(key, value)
Me : while simultaneously codding with him. He : lets take INDIA next... Me : Felt Proud I shared his channel to all available social media. :-) Bro Code
As of Python version 3.7, dictionaries are *ordered.* In Python 3.6 and earlier, dictionaries are unordered. source: www.w3schools.com/python/python_dictionaries.asp
The difference is mostly in how it's used and how you can combine them with other code. If what you want to do is more complex than just printing all the items, being in a for loop and having access to each individual key-value-pair can be an advantage. You can check if the key and/or value fulfil certain conditions, and only then execute additional code.
How can I customize my pycharm as yours? I like when you get the output with lighter green and other text more darker color. Can you just do a short tutorial about that?
When you ask for the value associated with key "Russia", the dictionary doesn't have to go perform a search over every possible key in the dictionary until it finds "Russia", like it does with a list. Instead, the hash of the key is used so that the dictionary knows exactly where to look for the value associated with "Russia" - no searching means that reading a value from a dictionary is always the same speed, no matter how many entries the dictionary has. To compare, with a list, to find the entry "Russia", you have to search, so it's slower in a 1000 element list than a 10 element list.
