One Week Python

One Week Python, available at $94.99, has an average rating of 4.71, with 194 lectures, 60 quizzes, based on 4112 reviews, and has 19440 subscribers.

You will learn about Master modern Python fundamentals as quickly as possible Learn the Python you need to move on to Data Science or Web Development Work with 3rd party Python libraries and modules Complete dozens of exercises, quizzes, and projects You'll learn to code with Python while staying sane! This course is ideal for individuals who are Anyone who wants to learn Python in as little time as possible or Busy people who can't spend months completing a Python course or Anyone who plans on learning Data Science or Machine Learning but first needs a Python foundation It is particularly useful for Anyone who wants to learn Python in as little time as possible or Busy people who can't spend months completing a Python course or Anyone who plans on learning Data Science or Machine Learning but first needs a Python foundation.

Enroll now: One Week Python

Summary

Title: One Week Python

Price: $94.99

Average Rating: 4.71

Number of Lectures: 194

Number of Quizzes: 60

Number of Published Lectures: 190

Number of Published Quizzes: 60

Number of Curriculum Items: 254

Number of Published Curriculum Objects: 250

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Master modern Python fundamentals as quickly as possible
Learn the Python you need to move on to Data Science or Web Development
Work with 3rd party Python libraries and modules
Complete dozens of exercises, quizzes, and projects
You'll learn to code with Python while staying sane!

Who Should Attend

Anyone who wants to learn Python in as little time as possible
Busy people who can't spend months completing a Python course
Anyone who plans on learning Data Science or Machine Learning but first needs a Python foundation

Target Audiences

Anyone who wants to learn Python in as little time as possible
Busy people who can't spend months completing a Python course
Anyone who plans on learning Data Science or Machine Learning but first needs a Python foundation

Don’t waste your time with 60+ hour behemoth courses that you never finish! Instead, try this quick and effective pathway to Python that was designed with your sanity in mind. This course is the p1erfect first step into the world of data science, web dev, machine learning, or any other discipline that requires Python knowledge.

As an-person coding bootcamp instructor, I created this course to keep you engaged the entire way through. It’s full of exercises, quizzes, challenges, and projects. The slides, diagrams, and cheatsheets were painstakingly designed to help you visualize the tricky concepts. There are no 20-minute monster videos in this course; the average video is only 4 minutes long. Everything about this course has been designed to make it actually completable!

This course covers all the Python essentials you need: everything from variables to data structures to object oriented programming and modules. You’ll fill up your Python toolbox so you can go on and tackle libraries like pandas, flask, scikitlearn, django, and more.

What this course is not: This course is not a complete guide to every single possible feature in the Python language. It focuses on the 80% that is absolutely critical and worth your time, but there are other (much longer) courses that are more akin to Python textbooks that take the time to cover every feature. In fact, I created one of those courses, and it happens to be 40 hours long!

As someone who has both created and purchased massive Udemy mega bootcamp courses, I know they are still the standard format on the platform, but maybe it’s time for something a bit more human and engaging. I thought it was worth a try at least.

Here’s a detailed breakdown of what we cover:

Painless installation for all platforms and users
Working with numbers
Python variables
Strings and string methods
Booleans
Conditional Logic
Boolean Logic
Loops
Functions
Scope
Lists
Dictionaries
Sets
Tuples
*args and **kwargs
Working with errors
Custom modules
3rd party modules
PIP
Object Oriented Programming
Classes

Course Curriculum

Chapter 1: Welcome & Introduction

Lecture 1: Welcome To The Course!

Lecture 2: Join The Community!

Lecture 3: What This Course IS NOT

Lecture 4: Why You Should Learn Python

Lecture 5: What We Can Do With Python

Lecture 6: Download All Slides Here!

Chapter 2: Installation & Setup

Lecture 1: Python Versions: They Actually Matter!

Lecture 2: 2 Ways of Running Python

Lecture 3: Installation For Mac Users

Lecture 4: Installation For Windows Users

Lecture 5: The "No-Installation" Option: REPL.it

Chapter 3: Python Numbers

Lecture 1: Intro to Data Types

Lecture 2: Integers and Floats

Lecture 3: OPTIONAL: Numeric Notations

Lecture 4: Basic Operators

Lecture 5: Lesser Known Operators

Lecture 6: Python Comments

Chapter 4: Variables Basics

Lecture 1: Introducing Variables

Lecture 2: Variable Naming

Lecture 3: Assignment Operators

Lecture 4: Numbers & Variables In The Wild

Lecture 5: The Print() Function

Lecture 6: ★ Magic Trick Exercise

Chapter 5: Strings Basics

Lecture 1: Introducing Strings

Lecture 2: String Variables

Lecture 3: String Operators

Lecture 4: String Indexing

Lecture 5: The Special Value None

Chapter 6: A Little More On Strings

Lecture 1: String Slices

Lecture 2: Revisiting Print()

Lecture 3: Escape Characters

Lecture 4: Triple Quoted Strings

Lecture 5: Strings In The Wild

Lecture 6: ★ Nico Hülkenberg Exercise

Chapter 7: Strings & Built-Ins

Lecture 1: Introducing Functions!

Lecture 2: The Len Function

Lecture 3: The Input Function

Lecture 4: Type Casting

Lecture 5: ★ Age Calculator Exercise

Lecture 6: F Strings

Lecture 7: F-Strings and Type Casting In The Wild

Lecture 8: ★ Shopping Cart Exercise

Chapter 8: The World Of Methods

Lecture 1: Introducing Methods: Upper and Lower

Lecture 2: Navigating The Docs

Lecture 3: Help() & ipython '?'

Lecture 4: Reading Function Signatures + Strip Methods

Lecture 5: Replace

Lecture 6: Other String Methods

Lecture 7: Method Chaining

Lecture 8: String Methods In The Wild

Lecture 9: ★ Press Release Exercise

Chapter 9: Booleans

Lecture 1: Introducing Booleans

Lecture 2: Comparison Operators

Lecture 3: Equality Operators

Lecture 4: Comparing Across Types

Lecture 5: Truthiness & Falseyness

Lecture 6: The "in" Operator

Lecture 7: OPTIONAL: Comparing Strings

Lecture 8: Booleans In The Wild

Chapter 10: Conditionals Basics

Lecture 1: Introducing Conditionals

Lecture 2: The If Keyword

Lecture 3: The Elif Keyword

Lecture 4: The Else Keyword

Lecture 5: ★ Name Length Codealong

Lecture 6: Generating Random Numbers With Randint()

Lecture 7: ★ Tweet Checker Exercise

Chapter 11: A Little More On Conditionals

Instructors

Colt Steele
Developer and Bootcamp Instructor

Rating Distribution

1 stars: 12 votes
2 stars: 19 votes
3 stars: 139 votes
4 stars: 1020 votes
5 stars: 2927 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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