Python Programming For Beginners: Learn Python In 9 Days

Python Programming For Beginners: Learn Python In 9 Days, available at $74.99, has an average rating of 4.6, with 88 lectures, 2 quizzes, based on 301 reviews, and has 1013 subscribers.

You will learn about You will be able to program You will learn logical thinking You will learn problem solving skills You will learn a sought-after and in-demand programming language You will build your confidence through being successful at every step, learning by doing This course is ideal for individuals who are Anyone who wants to learn to program. or Anyone who wants to learn Python. or Anyone who has tried to learn programming but has found other courses too fast-moving. or Anyone who is willing to give it a go. or Anyone who wants to learn an amazing, marketable, desirable skill. It is particularly useful for Anyone who wants to learn to program. or Anyone who wants to learn Python. or Anyone who has tried to learn programming but has found other courses too fast-moving. or Anyone who is willing to give it a go. or Anyone who wants to learn an amazing, marketable, desirable skill.

Enroll now: Python Programming For Beginners: Learn Python In 9 Days

Summary

Title: Python Programming For Beginners: Learn Python In 9 Days

Price: $74.99

Average Rating: 4.6

Number of Lectures: 88

Number of Quizzes: 2

Number of Published Lectures: 88

Number of Published Quizzes: 2

Number of Curriculum Items: 90

Number of Published Curriculum Objects: 90

Original Price: £99.99

Quality Status: approved

Status: Live

What You Will Learn

You will be able to program
You will learn logical thinking
You will learn problem solving skills
You will learn a sought-after and in-demand programming language
You will build your confidence through being successful at every step, learning by doing

Who Should Attend

Anyone who wants to learn to program.
Anyone who wants to learn Python.
Anyone who has tried to learn programming but has found other courses too fast-moving.
Anyone who is willing to give it a go.
Anyone who wants to learn an amazing, marketable, desirable skill.

Target Audiences

Anyone who wants to learn to program.
Anyone who wants to learn Python.
Anyone who has tried to learn programming but has found other courses too fast-moving.
Anyone who is willing to give it a go.
Anyone who wants to learn an amazing, marketable, desirable skill.

Python programmers are in demand.

Python programmers are well paid.

Python is an awesome language to learn.

Have you tried to learn to program but have found it hard going?

Have you tried other courses but they have gone too fast, too soon?

I know how you feel. It’s frustrating to get to a certain stage and then get left behind as new concepts whizz by. I hate not understanding stuff – I want to grasp it properly and be able to use it in my own life for my own purposes.

That’s why I’ve created this course.

You will learn how to code if you follow the instructions step by step, one at a time.

Take your time and do it your own way. You can learn this stuff in 9 days or you can learn it in 90 days – it really is up to you. Take my ideas and turn them into your own. Ask why I did things a certain way and try it your own way. This is your journey and I am here to help you succeed.

Imagine how it is going to feel when you encounter a problem and you can solve it by writing a program in Python. Then you can share it with your friends and colleagues to make their lives easier too.

Programming really is a superpower and it is one that you can possess.

By taking this course you will:

· Become a Python programmer

· Develop your logical thinking skills

· Develop your problem solving skills

· Develop your perseverance

· Build your confidence with computers and coding

· Make yourself more employable

· Open up new avenues of opportunity

I am a trained, qualified teacher with more than 20 years of experience in the classroom and online. I love teaching and getting people excited about coding. I have taught thousands of students either face to face or online and it never gets old. Watching the light of understanding dawn in a student’s eyes is what makes it all worthwhile for me. It is a real privilege that you have chosen me to guide you in your coding journey and I will make every effort to help you succeed.

Maybe you don’t think you have the time for learning this stuff. Do you have 15 minutes free in your day? Watch one video and think about the question I pose when you pause the screen. Keep doing this for a few weeks and, before you realise it, you are a programmer.

Maybe you don’t think it will work for you. It will work if you follow the steps. I know this because I have seen it work for thousands of students from all sorts of backgrounds, with all levels of starting ability, age and ambition.

If you haven’t already done so, please sign up for the course. You really won’t regret it. Even if, in the unlikely scenario that you find it isn’t for you, you have the no quibbles, no-questions-asked guarantee of all your money back within the first 30 days of signing up.

You have nothing to lose and everything to gain. Check out the curriculum for all the things you are going to learn in this course and imagine how you are going to feel when you finish it and you pick up the certificate at the end to show that you are now a Python programmer.

Let’s get started!

Course Curriculum

Chapter 1: Python Fundamentals: Day 1 – Intro, IDEs and dealing with mistakes

Lecture 1: Introduction

Lecture 2: Introduction

Lecture 3: Installing Python

Lecture 4: Integrated Development Environments vs Text Editors

Lecture 5: How to deal with errors

Lecture 6: Finding and fixing errors

Lecture 7: Finding errors challenge walkthrough

Chapter 2: Python Fundamentals: Day 2 – Variables , types and the input function

Lecture 1: Python fundamentals: Variables

Lecture 2: Python fundamentals: Types

Lecture 3: Changing types: Casting

Lecture 4: Naming conventions

Lecture 5: Python fundamentals: The input function

Lecture 6: Coding Challenge 1: Walkthrough

Lecture 7: Progress review

Lecture 8: Coffee break

Chapter 3: Python fundamentals: Day 3 – Controlling the flow of a program with conditionals

Lecture 1: Controlling how programs flow

Lecture 2: Python fundamentals: The 'if' statement

Lecture 3: Python fundamentals: If and else

Lecture 4: Offering other options: If, elif and else

Lecture 5: Conditionals: Common errors

Lecture 6: Indentation and Coding Challenge 2

Lecture 7: Coding Challenge 2: Walkthrough

Lecture 8: Python fundamentals: Comparison operators

Lecture 9: Multiple 'if' blocks

Lecture 10: Nested 'if' statements

Lecture 11: Project 1: Chloe's Classic Coffee

Lecture 12: Project 1: Walkthrough part 1

Lecture 13: Project 1: Walkthrough part 2

Lecture 14: Progress review

Lecture 15: Coffee break

Chapter 4: Python fundamentals: Day 4 – Repeating code with loops

Lecture 1: Introduction to loops

Lecture 2: Python fundamentals: While loops

Lecture 3: Infinite loops

Lecture 4: Using loops to validate input

Lecture 5: Python fundamentals: The 'continue' keyword

Lecture 6: The modulo operator

Lecture 7: Coding Challenge 3

Lecture 8: Coding Challenge 3: Walkthrough

Lecture 9: Progress review

Lecture 10: Coffee break

Chapter 5: Python fundamentals: Day 5 – Loops and lists

Lecture 1: Python fundamentals: For loops

Lecture 2: Python fundamentals: The range function

Lecture 3: For loops and strings

Lecture 4: Coding Challenge 4: Walkthrough

Lecture 5: Coding Challenge 4: Alternative solutions

Lecture 6: Python fundamentals: Indexing strings

Lecture 7: Python fundamentals: Indexes

Lecture 8: Python fundamentals: Lists

Lecture 9: Python fundamentals: List methods

Lecture 10: Project 2

Lecture 11: Project 2: Walkthrough part 1

Lecture 12: Project 2: Walkthrough part 2

Lecture 13: Progress review

Lecture 14: Coffee break

Chapter 6: Python fundamentals: Day 6 – Structuring code with functions

Lecture 1: Python fundamentals: Introduction to functions

Lecture 2: Python fundamentals: The 'return' keyword

Lecture 3: Program flow with functions

Lecture 4: Python fundamentals: Arguments and parameters

Lecture 5: Python fundamentals: Variable scope – part 1

Lecture 6: Python fundamentals: Variable scope – part 2

Lecture 7: Scope and for loops

Lecture 8: Python fundamentals: Error handling

Lecture 9: Coding Challenge 5

Lecture 10: Coding Challenge 5: Walkthrough

Chapter 7: Python fundamentals: Day 7 – Importing modules for additional functionality

Lecture 1: Python fundamentals: Importing modules

Lecture 2: Using the random module to simulate a coin toss

Lecture 3: Coding Challenge 6

Lecture 4: Coding Challenge 6: Walkthrough – part 1

Lecture 5: Coding Challenge 6: Walkthrough – part 2

Lecture 6: Python fundamentals: The time module

Lecture 7: Python fundamentals: More time please

Lecture 8: Random methods and Coding Challenge 7

Lecture 9: Coding Challenge 7: Walkthrough

Chapter 8: Intermediate Python: Day 8 – External files, dictionaries and nested loops

Lecture 1: Intermediate Python: Importing external files – part 1

Lecture 2: Intermediate Python: Importing external files – part 2

Lecture 3: Intermediate Python: Dictionaries – part 1

Lecture 4: Intermediate Python: Dictionaries – part 2

Lecture 5: Intermediate Python: Tuples

Lecture 6: Intermediate Python: 2D lists

Lecture 7: Intermediate Python: Nested for loops – part 1

Lecture 8: Intermediate Python: Nested for loops – part 2

Lecture 9: Intermediate Python: Importing CSV files

Lecture 10: Intermediate Python: Exporting to CSV files

Lecture 11: Intermediate Python: Exporting to text files

Chapter 9: Day 9 – Final project

Lecture 1: Project 3

Lecture 2: Project 3: Walkthrough – part 1

Lecture 3: Project 3: Walkthrough – part 2

Lecture 4: Conclusion and congratulations!

Instructors

Jonathan Martin
Teacher, developer and author

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 17 votes
4 stars: 99 votes
5 stars: 183 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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