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Learn Python from Scratch

Start your python journey here. You will be able to build on these foundations to achieve what you want with python.
Rating: 4.4 out of 5 (326 ratings)
10,791 students
Created by Giles McMullen-Klein
English
English [Auto]
You will understand the syntax of python and how to structure python. It will provide the basics to move onto other topics such as data science

Requirements

  • Have access to a computer

Description

Python the way I wish I'd been taught! This python course will teach you the foundations of python. It starts in python 2 and explains the difference between Python 2 and 3 so that you have the most thorough understanding possible. Each lesson has example code that takes you through the syntax of python step by step. You will learn how to install python, how and why to use jupyter notebooks in python, it covers variables, lists, dictionaries, flow control and functions. Once complete you will have a thorough understanding of what python is capable of and how to use it and importantly, how to build on your new skills to reach your programming goals.

Who this course is for:

  • Beginners who want to learn python and have no previous experience

Course content

5 sections • 37 lectures • 2h 36m total length

  • Introduction
    03:23
  • Jupyter Notebook
    04:04
  • Variables in Python
    07:41
  • Python Strings
    06:34
  • String Methods
    08:42
  • String Replace
    04:15
  • String Formatting and Functions
    07:31

Instructor

Giles McMullen-Klein
Python YouTuber & Former Researcher at Oxford University
Giles McMullen-Klein
  • 4.7 Instructor Rating
  • 3,324 Reviews
  • 21,577 Students
  • 2 Courses

Giles has a First-class honours degree in physics and was a researcher at the University of Oxford. In his work, he uses python for modelling and image analysis. Giles has used python in research that has been published in journals and has also helped to teach python to students new to the language.  Giles is particularly interested in the applications of python to data, machine learning, modelling and artificial intelligence.