How to access data using Python
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There are various ways to access data using Python, depending on the data structure and location of the data. Some common ways include:
- Variables: Data stored in variables can be accessed directly by calling the variable name. For example, if you have a variable
x
that stores a number, you can access the number by callingx
. - Lists: Data stored in lists can be accessed using indexing. For example, if you have a list
numbers = [1, 2, 3, 4, 5]
, you can access the first number by callingnumbers[0]
. - Tuples: Data stored in tuples can also be accessed using indexing. For example, if you have a tuple
numbers = (1, 2, 3, 4, 5)
, you can access the first number by callingnumbers[0]
. - Dictionaries: Data stored in dictionaries can be accessed using the key. For example, if you have a dictionary
students = {'John': 25, 'Jane': 22, 'Bob': 30}
, you can access John's age by callingstudents['John']
. - Arrays: Data stored in arrays can be accessed using indexing. For example, if you have an array
numbers = array("i", [1, 2, 3, 4, 5])
, you can access the first number by callingnumbers[0]
. - File: Data stored in a file can be accessed using file handling functions in python. For example, you can read data from a file using the
read()
method, and read data from a file using theread()
method.
These are just some examples of how to access data using Python; other methods may be used depending on the specific use case.
7-Day Challenge
Land Your First Data Science Job
A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.
Build portfolios that hiring managers love
Master the Python and SQL essentials to be industry-ready
Practice with real interview questions from tech companies
Access to the $100k/y Data Scientist Cheatsheet
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