csv out for an SQL-style database later if it's not working for you. csv format to store the data initially, and see whether it forces your laptop to grind to a halt while reading and updating the data. One way to start getting this done would be to write a script that uses the. csv files are less convenient if the data doesn't all fit in memory at the same time, if it's important to be able to access random items quickly, or if small bits of the data need to be modified without going through the whole read-write cycle. csv file basically boil down to it being programmatically easy to build up a dictionary and then write it to the file with a few lines of code - look at the csv module in the standard library to get started. If you're building up your data in memory and your laptop suddenly starts working slowly and your hard drive is thrashing, you're probably running out of memory.īenefits of storing all of the data in a. csv files are probably the easier option. ![]() If you have enough memory that all of the data fits in your laptop's memory at the same time. It sounds like you have a relatively simple use case where you read the data in, check to see whether it needs to be updated, and then write the (possibly modified) data back out (possibly skipping this step if it if it hasn't been modified). hashmaps or hashtables) objects by using the csv.DictReader class (the docs are in the csv page, just scroll down a little bit - there's a code example on how to use that). dictionaries - a key-value based data structure a.k.a. You can load the CSV data into dict (i.e. And if you're sticking to CSV, then I recommend using Python's csv package. So, regardless of reading/writing from a RDBMS (like PostgreSQL, sqlite, etc) or from a CSV file, best practices are to use generators to avoid loading massive amount of data into memory. If you have a big list of lists (also called a matrix), you might end up using a lot of memory depending of how much data will be present in each item of your list. The operating system will return the address for that data and whenever you reference the variable in your code, your program will read it from memory. store the data somewhere in the RAM memory for further reading). your program) will ask the operating system to allocate RAM memory to store the data (i.e. ![]() Just to add my two cents here, I'd like to give you an example of memory usage: whenever you declare a variable in your code (like fruits = ) the process (i.e. ![]() Excellent answer from u/shiftybyte about process and memory.
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