An introduction to the basic concepts of Python. Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python's basic data types.

Hello Python!

Your first Python code

Any comments?

Python as a calculator

Variables and Types

Variable Assignment

Calculations with variables

Other variable types

Operations with other types

Python Basics

Chapter 1

Learn to store, access, and manipulate data in lists: the first step toward efficiently working with huge amounts of data.

Python Lists

Create a list

Create lists with different types

List of lists

Subsetting Lists

Subset and conquer

Slicing and dicing

Subsetting lists of lists

Manipulating Lists

Replace list elements

Extend a list

Delete list elements

Inner workings of lists

Chapter 2

You'll learn how to use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written. The goal is to reduce the amount of code you need to solve challenging problems!

Functions

Familiar functions

Help!

Multiple arguments

Methods

String Methods

List Methods

List Methods (2)

Packages

Import package

Selective import

Different ways of importing

Functions and Packages

Chapter 3

NumPy is a fundamental Python package to efficiently practice data science. Learn to work with powerful tools in the NumPy array, and get started with data exploration.

NumPy

Your First NumPy Array

Baseball players' height

NumPy Side Effects

Subsetting NumPy Arrays

2D NumPy Arrays

Your First 2D NumPy Array

Baseball data in 2D form

Subsetting 2D NumPy Arrays

2D Arithmetic

NumPy: Basic Statistics

Average versus median

Explore the baseball data

Chapter 4 MLB (baseball)

FIFA (soccer)

Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses. Start DataCamp’s online Python curriculum now.

<h2>An Introduction to Python</h2> 
Python has grown to become the market leader in programming languages and the language of choice for data analysts and data scientists. Demand for data skills is rising because companies want to gain actionable insights from their data.
<br><br> 
<h2>Discover the Python Basics</h2> 
This is a Python course for beginners, and we designed it for people with no prior Python experience. It is even suitable if you have no coding experience at all. You will cover the basics of Python, helping you understand common, everyday functions and applications, including how to use Python as a calculator, understanding variables and types, and building Python lists. The first half of this course prepares you to use Python interactively and teaches you how to store, access, and manipulate data using one of the most popular programming languages in the world.
<br><br> 
<h2>Explore Python Functions and Packages</h2> 
The second half of the course starts with a view of how you can use functions, methods, and packages to use code that other Python developers have written. As an open-source language, Python has plenty of existing packages and libraries that you can use to solve your problems.
<br><br> 
<h2>Get Started with NumPy</h2> 
NumPy is an essential Python package for data science. You’ll finish this course by learning to use some of the most popular tools in the NumPy array and start exploring data in Python.

Discover how to use Python for data science in this four-hour course. Learn how you can use Python to store and manipulate data before you move on to analysis.

Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Associate Data Scientist  in Python

Data Analyst  in Python

Python Data Fundamentals

Likely to Recommend

Your first Python code

“Introduction to Python”

Exercise instructions

Hands-on interactive exercise

Introduction to Python

Chapter 1: Python Basics

Chapter 2: Python Lists

Chapter 3: Functions and Packages

Chapter 4: NumPy

What is DataCamp?