Python for Beginners: Learn Python with Practical Exercises!

Python for Beginners: Learn Python with Practical Exercises!, available at $34.99, has an average rating of 3.75, with 47 lectures, 1 quizzes, based on 266 reviews, and has 9865 subscribers.

You will learn about Practise coding in the most popular Python development environments for data scientists and developers alike Solid understanding of Python Programming Fundamentals Object Oriented Programming Build a Python Game Run Fully Functioning Python Game in your Terminal like a real Python Developer! This course is ideal for individuals who are For People Who want to learn Python Fundamentals and later transition into Data Science, Web Development or Big Data or For Complete Programming Beginners or For People New to Python or Not Intended for Seasoned Developers It is particularly useful for For People Who want to learn Python Fundamentals and later transition into Data Science, Web Development or Big Data or For Complete Programming Beginners or For People New to Python or Not Intended for Seasoned Developers.

Enroll now: Python for Beginners: Learn Python with Practical Exercises!

Summary

Title: Python for Beginners: Learn Python with Practical Exercises!

Price: $34.99

Average Rating: 3.75

Number of Lectures: 47

Number of Quizzes: 1

Number of Published Lectures: 47

Number of Published Quizzes: 1

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 48

Original Price: A$29.99

Quality Status: approved

Status: Live

What You Will Learn

Practise coding in the most popular Python development environments for data scientists and developers alike
Solid understanding of Python Programming Fundamentals
Object Oriented Programming
Build a Python Game
Run Fully Functioning Python Game in your Terminal like a real Python Developer!

Who Should Attend

For People Who want to learn Python Fundamentals and later transition into Data Science, Web Development or Big Data
For Complete Programming Beginners
For People New to Python
Not Intended for Seasoned Developers

Target Audiences

For People Who want to learn Python Fundamentals and later transition into Data Science, Web Development or Big Data
For Complete Programming Beginners
For People New to Python
Not Intended for Seasoned Developers

Hi I’m Sam, a big data engineer and full stack web developer teaching you to program in Python in the most efficient and down to earth approach. I will not only teach you to code but also the environment used to develop python code used by everyday data scientists and big data engineers.

This course is streamlined into 3 hours to fit into a busy schedule. All content in this course will be highly reusable in a real world situation. This course is strictly no ‘fluff’ which means we will get into the core of programming straight away without going through hours of theory which you will never apply on real projects.

So if you want to learn python programming to transition into data science, or the big dataspace and don’t have the luxury of time you have come to the right place!

Course is split up into sections as below:

Environment Setup – Here you learn and install the most popular environments used by data scientists and developers

Data Types and Methods– The abc’s of the coding language.

Control and Looping – Learn how to control the flow of the program and repeat tasks

Functions– Help Automate your tasks

Error Handling– Handles errors in real world applications

Object Oriented Programming – Learn OOP to be even better at programming

File Structure & Running in Terminal – Learn how Python modules work and run in Terminal

Course Curriculum

Chapter 1: Introduction & Environment Setup

Lecture 1: Course Introduction

Lecture 2: Iterm2 Installation

Lecture 3: Installing Python 3

Lecture 4: Installing Jupyter Notebook

Chapter 2: Data Types and Methods

Lecture 1: Data Types

Lecture 2: Int and Float

Lecture 3: Retrieving From a List

Lecture 4: List Methods

Lecture 5: Tuples

Lecture 6: String Methods

Lecture 7: Dictionary Methods

Lecture 8: Print Method

Chapter 3: Control and Looping

Lecture 1: If Else Statements Syntax

Lecture 2: If Else Control Logic Part 1

Lecture 3: If Else Control Logic Part 2

Lecture 4: For Loop and While Loop Syntax and Logic

Lecture 5: For Loop Logic and Quick Exercise

Lecture 6: While Loops Logic

Lecture 7: While Loops with If, Else Statements

Lecture 8: Break and Continue Methods

Lecture 9: Looping Exercise

Lecture 10: Looping Exercise Solution

Chapter 4: Functions

Lecture 1: Function Concept

Lecture 2: Function Examples and Quick Exercise

Lecture 3: Function Scoping

Lecture 4: Function Exercises

Lecture 5: Function Exercise Solution Part 1

Lecture 6: Function Exercise Solution Part 2

Chapter 5: Error Handling

Lecture 1: Error Handling Concept

Lecture 2: Error Handling Examples

Lecture 3: Using While Loops with Error Handling

Lecture 4: Error Handling Exercise

Lecture 5: Error Handling Exercise Solution

Chapter 6: Object Oriented Programming (OOP)

Lecture 1: OOP Concepts

Lecture 2: OOP Examples

Lecture 3: OOP Important Usage

Lecture 4: OOP Exercise and Solution

Chapter 7: Building Game Project

Lecture 1: Game Project Explanation and Hints

Lecture 2: Game Project Solution Part 1

Lecture 3: Game Project Solution Part 2

Lecture 4: Game Project Solution Part 3

Chapter 8: File Structure, Modules and Running in Terminal

Lecture 1: Installing VSCode incl. tips

Lecture 2: Installing Pylint

Lecture 3: File Structure and Modules Explained

Lecture 4: Using Python in VSCode

Lecture 5: Running Python Program in the Terminal

Chapter 9: Bonus Section

Lecture 1: My Other Courses

Instructors

Samuel Lee
Big Data Engineer|Cloud Engineer|ML and AI Enthusiast

Rating Distribution

1 stars: 7 votes
2 stars: 10 votes
3 stars: 49 votes
4 stars: 95 votes
5 stars: 105 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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