Learn to code with an Introduction to Python 3

An introduction to Python 3 and interactive programming with Jupyter Notebooks

What you'll learn
The basics of the python programming language.
How to code.
How to think critically and think like a programmer.
How to write code and markdown in Jupyter Notebooks.
Setting up Pycharm IDE and Virtual Environments
Control Flow in Python
Data Structures in Python
Functions in Python
Classes in Python
Requirements
Basic computer knowledge
Patience and willingness to learn.
Description
This course is for beginners who are interested in learning to code. This course begins with teaching Python 3 in an interactive style through the use of Jupyter Notebooks. You will also learn to write programs within the integrated development environment (IDE) Pycharm.

In the setup videos for the course you will be told how to access the Github Repo which has all the content for the course additional to the videos hosted on Udemy. This additional content contains all the Python code files, the practice questions and solutions, as well as all the material in a nicely formatted online book.

Chapter 1: Intro To Python

interactive Python

Jupyter Notebooks

print

strings

variables

numerical data types (integers and floats)

string formating with f-strings

indexing and slicing strings

getting input from a user

Chapter 2: Control Flow

boolean data type (True and False)

operators

comparison operators (==, !=, >, <, >=, <=)

logical operators (and, or, not)

membership operators (in, not in)

if, elif, and else statements

lists

indexing and slicing

getting length of a list with len()

appending to a list with append() and extend() methods

list concatenation with + operator

intro to mutable and immutable objects

for loops and while loops

range() function

break and continue and pass statements

more Python basic operators

% modulus

+=, -=, *=, /=

Chapter 3: Functions

What are functions and why do we use them?

Examples of functions that are built into Python.

Defining your own functions.

Function arguments

positional arguments

keyword arguments

default arguments

return statement

Local and global scope

Chapter 4: Data Structures

lists

more list methods

list comprehensions

tuples

dictionaries

keys and values

ways of iterating over dictionaries

sets

using *args and **kwargs in function definitions

Chapter 5: Virtual Environments, Packages, Pycharm IDE

importing libraries in your Python code with import statements

creating virtual environments for projects

installing packages/libraries into those projects with pip

creating your own modules for importing

Setting up an integrated development environment (IDE) with the use of the popular IDE, Pycharm

Chapter 6: Truthy and Falsy Values, None Value, Exception Handling, Reading and Writing Files

Truthy and Falsy values

The None value

About different Python errors and how to do exception handling with try and Except

How to read data from a file and write data back to a file

Chapter 7: Intro to Classes and Object Oriented Programming

defining and creating classes

instantiate an object from a class

instance methods and attributes

class methods and attributes

subclassing and inheritance

Who this course is for
Anyone looking for an introduction to coding.
Anyone looking for an introduction to python programming language.
Anyone looking for some foundations in Python so they can then look into more advanced topics after learning the basics.