- Python Dictionaries
- Comparison Operators in Python
- Logical Operators in Python
- Conditional Statements in Python
- For Loop in Python
- While Loop in Python
- How to loop over python dictionaries and Numpy arrays
- What is NumPy in Python
- ndarray - Methods and Data Type
- NumPy - Methods to Create Arrays
- Python NumPy - Numerical Operations on Arrays
- Python NumPy - Indexing and Slicing Arrays
For Loop in Python
In Python, we will learn about the two statements that provide explicit looping. They are
There are two statements that can be used to explicitly control looping. They are
break statement causes an exit from the innermost loop that is currently being executed. The
continue statement immediately causes control to return to the start of the loop. The next iteration of the loop (if there is one) is then executed. No statement below
continue in the current loop is evaluated.
In this lesson, we will discuss the
for loop. The syntax of the for loop is
for name in object : statement1
Here object can be a list, a Numpy array, or any other data structure such as a Pandas data frame. For each element in object the variable name is set to the value of that element and statement1 is evaluated. Basically, the loop iterates over the object.
Example: Stock Prices
Let's say we have a list of the prices of a stock over the past 5 days. Also assume that we are holding 5 units of this stock.
stock_prices = [10, 8, 9, 11, 12]
If you want to calculate the value of your holding in this stock for each of the days, you can use the for loop to do so.
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