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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
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 GithubRepo 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
Overview
