Start your data science journey with Python. Learn practical Python programming skills for basic data manipulation and analysis.

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- Python Essentials for Data Analysis I
- 1.1 Getting started - Hello, World!
- 1.2 Variables
- 1.3 Data types
- 1.4 Printing
- 1.5 Lists
- 1.6 Dictionaries
- 1.7 Input function
- 1.8 Arithmetic operators
- 1.9 Comparison operators
- 1.10 Logical operators
- 1.11 Identity operators
- 1.12 Membership operators
- 1.13 Conditional statements (if-elif-else)
- 1.14 Importing modules
- 1.15 For loops
- 1.16 While loops

- Python Essentials for Data Analysis IIToggle Dropdown
- 2.1 Introduction to Functions in Python
- 2.2 Functions - Arguments
- 2.3 Functions with Return Values
- 2.4 Functions - A Fun Exercise!
- 2.5 Functions - Arbitrary Arguments (*args)
- 2.6 Functions - Arbitrary Keyword Arguments (**kwargs)
- 2.7 Recursive Functions
- 2.8 Lambda Expressions
- 2.9 Functions - More Exercises

- Data Analysis with PandasToggle Dropdown
- PD.1 Introduction to Pandas
- PD.2 Basics of Pandas
- PD.3 Finding and Describing data
- PD.4 Assigning Data
- PD.5 Manipulating Data
- PD.6 Handling Missing Data
- PD.7 Removing and adding data
- PD.8 Renaming data
- PD.9 Combining data
- PD.10 Using Pandas with other functions/mods
- PD.11 Data classification and summary
- PD.12 Data visualisation

- Data Analysis with NumPyToggle Dropdown
- NP.1 Introduction to NumPy
- NP.2 Create Arrays Using lists
- NP.3 Creating Arrays with NumPy Functions
- NP.4 Array Slicing
- NP.5 Array Reshaping
- NP.6 Math with NumPy I
- NP.7 Combining 2 arrays
- NP.8 Adding elements to arrays
- NP.9 Inserting elements into arrays
- NP.10 Deleting elements from arrays
- NP.11 Finding unique elements and sorting
- NP.12 Math with NumPy II
- NP.13 Analysing data across arrays
- NP.14 NumPy Exercises

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With the ** for ** loop, we can execute a set of statements - once for each item in a list, tuple, set etc.

**Syntax**

fruits = ["apples", "bananas", "cherries"] for x in fruits: print(x)

This shows that a ** for ** loop iteration is made, and it runs through each item in the list called fruits.

Here, the** x** refers to a temporary variable used to store the value of the current position in the range of the for loop that only has scope within its for loop. You could use any other variable name in place of "i" such as "count" or "x" or "number".

Below, i used **fruit **as the temporary variable** **instead of **x**.

fruits = ["apples", "bananas", "cherries"] for fruit in fruits: print(x)

**Examples**

Even strings are iterable objects as they contain a sequence of characters.

**Syntax**

for x in banana: print(x)

**Example**

With the ** break ** statement, we can stop the loop before it loops through all the items.

**Syntax**

fruits = ["apples", "bananas", "cherries"] for x in fruits: print(x) if x == "bananas": break

**Examples**

With the ** continue ** statement, we can skip over a part of the loop where an additional condition is set, and then go on to complete the rest of the loop.

**Syntax **

fruits = ["apples", "bananas", "cherries"] for x in fruits: if x == "bananas": continue print(x)

**Examples**

- Last Updated: Jun 24, 2024 9:14 AM
- URL: https://libguides.ntu.edu.sg/python
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