Python Quick Start: 100 Minutes Guide

Python Quick Start: 100 Minutes Guide, available at Free, has an average rating of 4.93, with 13 lectures, based on 15 reviews, and has 342 subscribers.

You will learn about Basic Python programming Creating a foundation quickly for a technology that requires Python A brief introduction to Functional Programming A brief introduction to Object Oriented Programming Using Jupyter Notebook This course is ideal for individuals who are This course is for beginners with no prior knowledge of Python who want to learn the fundamentals of it quickly. It is particularly useful for This course is for beginners with no prior knowledge of Python who want to learn the fundamentals of it quickly.

Enroll now: Python Quick Start: 100 Minutes Guide

Summary

Title: Python Quick Start: 100 Minutes Guide

Price: Free

Average Rating: 4.93

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Basic Python programming
Creating a foundation quickly for a technology that requires Python
A brief introduction to Functional Programming
A brief introduction to Object Oriented Programming
Using Jupyter Notebook

Who Should Attend

This course is for beginners with no prior knowledge of Python who want to learn the fundamentals of it quickly.

Target Audiences

This course is for beginners with no prior knowledge of Python who want to learn the fundamentals of it quickly.

Welcome to the Quick Python Fundamentals Course!

Are you ready to dive into the world of programming with Python? This free course is designed specifically for beginners who want to quickly grasp the fundamentals of Python programming.

What You’ll Learn:

Basic Python Syntax: Understand the core syntax of Python, including variables, data types, and operators.
Data Structures: Learn most commonly used data structures in Python such as Lists, Tuples, Sets and Dictionaries.
Control Structures: Learn how to use conditionals and loops to control the flow of your programs. (if statement, for and while loops)
Functions: Discover how to write reusable functions to organize your code effectively.
Data Structures: Get to know lists and strings, and how to manipulate them to solve real-world problems.
Object-Oriented Programming (OOP): Gain an introduction to classes and objects to create more structured and reusable code.

By the end of this course, you’ll have a foundation in Python and be prepared to tackle basic programming challenges. Whether you’re looking to start learning programming or just explore Python, this course is a great starting point. You’ll gain the essential knowledge to help you approach programming with more confidence.

Enroll now and take your first step towards becoming a Python programmer.

Course Curriculum

Chapter 1: Course Resources

Lecture 1: Course Resources

Chapter 2: Installations

Lecture 1: Install Python and Jupyter Notebook on Windows

Lecture 2: Install Python and Jupyter Notebook on Linux

Lecture 3: Install Python and Jupyter Notebook on MacOS

Chapter 3: Python Quick Start

Lecture 1: Python Basics: Variables, Data Types and Operators

Lecture 2: Data Structures

Lecture 3: Control Flow Statements

Lecture 4: Functions

Lecture 5: Errors, Modules-Libraries, File Operations

Lecture 6: Strings

Lecture 7: Mini Project

Lecture 8: Introduction to Object Oriented Programming (OOP)

Chapter 4: Extra Jupyter Notebook Exercises

Lecture 1: Jupyter Notebook Exercises

Instructors

Alp Can
Data Scientist

Rating Distribution

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4 stars: 2 votes
5 stars: 13 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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