Python Programmer Bootcamp 

What does the course cover

Why code? Why Python?

Installing Python

Introducing Spyder

PRINT function

The solution

Variables

Strings

Let's write a program

Question 1

Question 2

Question 3

Question 4

Question 5

Intro to conditionals

Logical operators

Not TRUE is FALSE

IF statement

More on strings

More strings!

Practice challenge

Intro to For loops

A little more on variables

Lists

The power of lists and loops and working together

Some list methods

While loops

Modulus

Practical challenge

Modules

Dictionaries

Zip function

More string methods

Tuples

More than 1 dimension

Import counters (Part I)

Import counters (Part II)

Files and functions

Appending to a file

More on functions

Fibonacci in a function

Recursion

Objects

Class

__Init__

Class variables

Methods

Inheritance

Practical exercise 1

Practical exercise 2

General tips

_Big_O

O(n)

O(n^2)

O(n!)

Summary

Intro

Caesar cipher

Jupyter notebook intro

Caesar cipher solution

Two sum

Two sum solution

Card class

Playing card class

Playing card class solution

6 Lessons

30 Min

Python is so versatile, there are very few things you can’t do with it. One of its many strengths is data visualization. Matplotlib is a well-known data visualization module in python. We introduce you to it in this section and work through some interesting examples.

Random walk explanation

Simulating a random walk

Sierpinski triangle

Creating the triangle in Matplotlib

Python imaging library

Intro to stacks

Coding a stack in Python

Practical challenge - stacks

Hint on solving the challenge

Solving the stacks challenge

Towers of Hanoi

Some hints

Code for Tower of Hanoi

Enumerate sets & none

Intro to search and sort

Linear search

Binary search

Insertion sort

Intro to cards and coins

Luhn's algorithm

Coins

Coins - Python code

Debugging

Beyond the PRINT function

Debugging in Spyder

A little more on strings

Regular expressions

More regular expressions

Type hints

Introduction to the project

Coin photographs

Introducing OpenCV

Starting to work with Visual Studio

Hough circle transform

Get circle radii

Get brightness values

Performning coin classification

Closing remarks

Further exrecises

Introduction

Downloading Python

Setting up the virtual environment

Sharing a project - requirements file

Downloading and Installing Virtual Box & Setting up a Virtual Machine

Installing Ubuntu on the Virtual Machine

Setting up a virtual environment on Ubuntu

Introduction to the command line

Handling files on in the command line

Copying, moving and deleting files on the command line

Echo, environment variables and path

Section summary

Introduction and installing PyCharm

Setting up PyCharm

Using PyCharm to write code

PyCharm and Git

Exception handling - Introduction

Setting the scene

How Python handles errors

The block stops running as soon as the exception is encountered

When to use tryblock

Exception handling - Conclusion

Farewell