Learn Python with Examples
In this Python Tutorial, you will learn basic and advanced concepts of Python, its advantages, usage with machine learning, and data science with examples. All Python examples provided in this Python Tutorial are basic, simple, and easy to practice for beginners who are enthusiastic to learn Python, and these sample examples were tested in our development environment.
Note: In case you can’t find the Python sample code example you are looking for on this tutorial page, I would recommend using the Search option from the menu bar to find your tutorial.
1. What is Python and its Advantages
2. Python Types
3. Python Keywords & Operators
4. Python Statements
if Statement
ternary Operator
The Ternary Operator is a simple alternative to the if-else statement in certain situations, especially when you need to make a simple decision and assign a value based on that decision.
for Loop
The for loop in Python is a control flow statement that is used to execute code repeatedly over a sequence like a string, list, tuple, set, range, or dictionary(dict) type.
5. Python Objects
Python List
Python list is an ordered collection of items that can contain elements of any data type, including other lists. It is a mutable data structure, meaning its contents can be modified after they have been created. Lists are typically used to store data that needs to be sorted, searched, or altered in some way.
Python Set
Sets are useful for storing a collection of elements when the order of the elements is not important, and you only need to know if an element is or is not in the set.
Python set is a collection of unique elements and it is an unordered data structure, which means that the elements in a set are not stored in a particular order, and they cannot be accessed by their index.
Python Tuple
Python Dictionary
Python dictionary is a collection of unordered elements. Elements in the dictionary are in the form of key-value pairs each key having its corresponding value.
Python Built-in Functions
- sorted() – To sort iterable objects in ascending or descending order
- map() – transform iterable objects
- reduce()
- filter()
- slice()
