Introduction to Python

Name: Introduction to Python Course
Price: 36 USD

with Martin Ganchev

4.8/5

(4,797)

Learn to code in Python: the most popular and widely used programming language

2 hours of content 54560 students

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What you get:

2 hours of content
27 Interactive exercises
28 Coding exercises
96 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

Introduction to Python

A course by Martin Ganchev

Start for Free

What you get:

2 hours of content
27 Interactive exercises
28 Coding exercises
96 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

$99.00

Lifetime access

Buy now

Start for Free

What you get:

2 hours of content
27 Interactive exercises
28 Coding exercises
96 Downloadable resources
World-class instructor
Closed captions
Q&A support
Future course updates
Course exam
Certificate of achievement

What You Learn

Get a proper introduction to the world of Python programming
Master key programming concepts such as variables, data types, and conditional statements
Solve practical Python exercises hand-in-hand with the instructor
Build your first Python program and gain the skills to solve real-world tasks
Get a taste of advanced Python programming techniques such as arithmetic, comparison, logical, and identity operators
Learn how to define Python functions

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

Python is one of the most widely used programming languages among data scientists. This course will show you the technical advantages it has over other programming languages. You will start working with its modules for scientific computing, and you will begin to understand why these functionalities make Python the preferred choice in finance, econometrics, economics, data science, and machine learning.

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1.1 Course Introduction

5 min

1.2 Setting Up the Environment

1 min

2.1 Python Variables

5 min

2.4 Understanding Numbers and Boolean Values

3 min

2.8 Strings

6 min

3.1 The Arithmetic Operators of Python

3 min

Curriculum

1. Why Python?

2 Lessons 6 Min

In this lecture, we will explain why we focus on studying Python and describe its key features (it is an open-source, general-purpose, high-level language).

Course Introduction
5 min
Setting Up the Environment Read now
1 min
2. Python Variables and Data Types

5 Lessons 20 Min

This is where you will start coding and learn one of the most fundamental concepts in programming – working with variables.

Python Variables
5 min
Understanding Numbers and Boolean Values
3 min
Strings
6 min
Introduction to Anaconda AI
2 min
Using the Anaconda Assistant: Strings
4 min
3. Basic Python Syntax

7 Lessons 12 Min

If you want to master Python programming, there is no way around learning basic Python syntax operators first. In this section, we will cover the double equality sign, reassigning of values, adding comments, line continuation, indexing elements, arithmetic operators, comparison operators, logical operators, and identity operators.

The Arithmetic Operators of Python
3 min
What is the Double Equality Sign?
2 min
How to Reassign Values
1 min
How to Add Comments
2 min
Understanding Line Continuation
1 min
How to Index Elements
1 min
How to Structure Your Code with Indentation
2 min
4. More on Operators

2 Lessons 8 Min

In this section, we will explore more operators used in Python. More precisely, we will first learn about the comparison operators, which will obviously allow you to compare different values in your code. Then, we will focus on the logical operators AND, OR, and NOT. We will conclude by a few examples with the identity operators IS and IS NOT.

Python's Comparison Operators
2 min
Python's Logical and Identity Operators
6 min
5. Conditional Statements

4 Lessons 14 Min

Conditional statements are the bread and butter of programming. Here, you will start creating your own IF, ELSE, and ELIF statements.

Getting to know the IF Statement
3 min
Adding an ELSE Statement
3 min
Else if, for Brief – ELIF
6 min
An Additional Explanation of Boolean Values
2 min
6. Functions

7 Lessons 19 Min

Python functions are another invaluable tool for programmers. They allow you to carry out pre-defined or specifically-designed operations that manipulate the data you are working with and bring it one step closer to representing a meaningful output.

How to Define a Function in Python
2 min
How to Create a Function with a Parameter
4 min
Another Way to Define a Function
3 min
How to use a Function within a Function
2 min
Use Conditional Statements and Functions Together
3 min
How to Create Functions Which Contain a Few Arguments
1 min
Built-In Functions in Python Worth Knowing
4 min
7. Sequences

5 Lessons 19 Min

Sequences are one of the main building blocks of computer programming. A sequence helps you store and organize different values you are working with. We will teach you how to work with lists, list slicing, tuples, and dictionaries.

Introduction to Lists
4 min
Using Methods in Python
3 min
What is List Slicing?
5 min
Working with Tuples
3 min
Python Dictionaries
4 min
8. Iteration

8 Lessons 25 Min

Iterations are a programming technique which allows you to execute certain code repeatedly. This is one of the instruments letting you to automate repeated tasks and benefit from one of its main strong points.

Using For Loops
3 min
Using While Loops and Incrementing
2 min
Use the range() Function to Create Lists
4 min
Combine Conditional Statements and Loops
3 min
All In – Conditional Statements, Functions, and Loops
2 min
Using the Anaconda Assistant: Several Python Tools
6 min
How to Iterate over Dictionaries
3 min
Using the Anaconda Assistant: Dictionaries
2 min
9. A few important Python concepts and terms

5 Lessons 22 Min

There are a few crucial concepts that everyone working with Python must understand – classes, object, object-oriented programming (OOP), Python standard library, functions, methods, attributes, etc. Although we will pay particular attention to all these terms later in the program, we believe it is very important to have been briefly introduced to them now.

Object-Oriented Programming (OOP)
5 min
Modules, Packages and the Python Standard Library
4 min
Importing Modules in Python
3 min
What is Software Documentation?
4 min
The Python Documentation
6 min

Topics

TheoryJupyterProgrammingPythonProgramming

Tools & Technologies

Course Requirements

No prior experience or knowledge of Python is required. We will start this Python course from the basics and gradually build your understanding. Everything you need is included in the Intro to Python course
You will need to install the Anaconda package, which includes Jupyter Notebook

Who Should Take This Course?

Level of difficulty: Beginner

Aspiring data analysts, data scientists, data engineers, AI engineers
Graduate students who need Python for their studies
Everyone who wants to learn how to code in Python

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Meet Your Instructor

Martin Ganchev

Worked at

15 Courses

37627 Reviews

557853 Students

Martin began working with 365 in 2016 as the company’s second employee. Martin’s resilience, hard-working attitude, attention to detail, and excellent teaching style played an instrumental role in 365’s early days. He authored some of the firm’s most successful courses. And besides teaching, Martin dreams about becoming an actor. In September 2021, he enrolled in an acting school in Paris, France.