Complete Python Developer in 2020: Zero to Mastery Created by Andrei Neagoie

• Course Outline
• Join Our Online Classroom!
• Discord Community

• Source code (human readable)
  • => interpreter: goes line by line and executes it consecutively
  • => or compiler: takes code all at once, reads the entire file and then translates that to machine code.

• cypthon VM (virtual machine)

• Terminal
• Code Editors: sublime text, visual studio code
• IDEs: PyCharm, Spyder
• Notebooks: jupyter
• python3
• exit()
• python main.py

• Python3 introduced in 2008
• The Story of Python
• Python 2 vs Python 3
• Another Article

• Languages have tradeoffs, so choose depending on purpose
• Python is great for developer code

• Terms
• Data Types
• Actions
• Best Practices

• Numbers
• Math Functions

• Learn a language by using it not by memorizing it.

• Python Keywords
• Best Practices
  • snake_case
  • start with lowercase or underscore
  • letters, numbers, underscores
  • case sensitive
  • don't overwrite keywords
  • CONSTANTS are CAPITALIZED

• expressions: pieces of code that produce a value (right side of equation)
• statements: entire lines of code that perform an action

• e.g., +=, *=

• \ to make next char a string
• \t for a tab
• \n for a new line

• f string (f ...) - recommended
• .format() still used from Python 2

• access different parts of a string by its index

• once created, you cannot reassign part of a string

• Built-in Functions
• Methods

• Writing Comments in Python

• ordered sequence of objects
• like arrays in other languages
• List Slicing
• Lists are mutable
  • copying vs modifying

• an array with another array inside it [multi-dimensional]

• Also known as mappings or hash tables. They are key value pairs that DO NOT retain order dict data type

• has to be immutable (a list cannot be a key because it can change)
• has to be unique, a repeated key will be overwritten

• immutable lists: e.g., children = ('Omi', 'SungOh')
• Tuple Methods
  • count()
  • index()

• unordered collection of unique elements (no duplicates)
• Python Set Methods

• if
• elif
• else

• What is Truthy and Falsy?

condition_if_true if condition else condition_if_false

• and, or, >, <, ==, !=, not, and not, etc.

• list
• dictionary
• tuple
• set
• string

• clean
• readable
• predictable
• DRY - don't repeat yourself

• def define a function
• should do one thing really well
• should return something

• parameters define variables to pass into a function
• arguments are called (invoked) when running a function

• assign a default parameter
• can use keyword arguments to explicitly define the values rather than positional arguments

• functions should return something

• .method has to be owned by something to the left of the period

def test(a)
'''
Info: this function tests and prints param a
'''
  print()

test('!!!')

• Rule order: params, *args, default parameters, **kwargs

1. start with local
2. Parent of local?
3. Global
4. Built in Python functions'

• nonlocal used to refer to the parent local
• generally write clean code and don't use these keywords

• garbage collection

• Test 1: 25 Questions
• Test 2: 51 Questions

• Code Editors: lightweight as they provide editors and linting
• IDEs are full-fledged environments
• Tools
  • Code Editors
    • Sublime Text
    • Visual Studio Code
  • IDEs
    • PyCharm
    • Spyder
  • Notebooks
    • jupyter

• a paradigm for structuring and writing our code
• modeling our code in terms of real world objects
• CLASS => instantiate instances
  • class CamelCase:

• Methods Differences

• the binding of data and functions that manipulate that data into one big object to keep everything in this box for interaction

• hiding information and giving access to only what's necessary

• no true private variables in Python
• but convention to use underscore _variable to indicate it shouldn't be touched

• allows new objects to take on the characteristics of existing objects

• object classes can share the same method name but those method names can act differently based on what object calls them

• introspection: the ability to determine the type of an object at runtime.

• special methods that Python recognizes to modify our classes
• Dunder Methods

• not recommended way to code

• focus on separation of concerns
• separate data and functions
• Goals the same regardless:
  • Clear and Understandable
  • Easy to Extend
  • Easy to Maintain
  • Memory Efficient
  • DRY

• separation between the data of a program and its behavior
• Rules:
  • Given the same input it will always return the same output
  • It should not produce any side effects
• map(), filter(), zip(), reduce()

• one-time anonymous functions
• reduces length of code but makes it less readable

• @classmethod
• @staticmethod

• a function that accepts another function in its parameters or returns another function

• supercharges our functions
• a function that wraps another function and enhances it or changes it

• Built-in Exceptions

• e.g., range() uses yield keyword to pause and resume functions
• generators are a subset of iterables

• Python Programming Exercises

• Modules: file_name.py
• Packages: folders that require an init.py file
• __name__
• if __name__ == '__main__':
• Built-in Modules: Python Module Index
• import only what you need: e.g., from random import shuffle
• Python Package Index
• e.g., search for 'read csv python3 built-in'
• pip install PIP
• virtual environments venv
• Useful Modules
  • Specialized Data Types
  • list vs array

• linting
• IDE or Text Editor
• Read errors
• Python Debugger or pdb (can also test inside pdb)

import pdb

def add(num1, num2):
    pdb.set_trace()
    return num1 + num2

print(add(4, 5))

• open
• Python uses a cursor to read a file
• Read, Write, and Append (mode='r')
• File Paths pathlib
• File I/O Errors

• Python RegEx
• regular expressions 101
• Interactive RegEx RegexOne

• Tools

  • pylint
  • pyflakes
  • AutoPEP 8

• Unit Tests

  • run all tests (-v for verbose): python -m unittest -v

• Software Engineer
• Python developer
• Data Scientist
• Data Analyst
• Research Analyst
• Backend Developer
• Testing/Automation
• Machine Learning

• Pillow forked from PIL
• Python Imaging Library
• JPG to PNG Pokedex Converter

• OpenCV
• OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products.

• PDF Merger
• PDF Watermarker

• email
• SMTP: Simple Email TransferProtocol
• pathlib

• How Hackers Work
  • Have I Been Pawned
• Password API
  • Requests Module
  • SHA1 Hash Generator
  • Pawned Passwords

• Twitter API
• Tweepy

• Twilio
  • Your new Phone Number is +16102981505

• Big List of Web Scraping Uses: Application of Web Scraping to Business
• Web Scraping and APIs
  • /robots.txt e.g., https://www.airbnb.com/robots.txt to check what the site allows you to scrape
• How Googlebot Works

• Beautiful Soup Documentation
• CSS Selectors
• Data Pretty Printer
• Scrapy - Web Scraping Framework

• How Websites Work
• Setting Up Flask
• venv documentation
• Python Virtual Environments
• Where in a virtualenv does the custom code go?
• Flask Quickstart

$ export FLASK_APP=hello.py
$ flask run
 * Running on http://127.0.0.1:5000/

• Flask Templates
• Flask Static Files
• Flask Favicon
• Create dynamic URLs in Flask with url_for()
• Jinja (template engine)
• Variable Rules
• MIME Types

• Mashup Templates
• cruip
• Creative Tim
• hatchful - create stunning logos in seconds

• Python Anywhere
• Python requirements.txt
• Project Code
• Project Link
• My Portfolio Link

• Selenium
• Selenium Easy
• Cheat Sheet

• AI, Machine Learning, Deep Learning, Data Science
• Machine Learning:
  • given input and output, the computer creates the function to manifest the desired output
    • functions, algorithms, models, brains, bots
• History of Data
  • spreadsheets
  • Relational DB
  • "Big Data" NoSQL e.g., mongoDB
  • Machine Learning
• Types of Machine Learning
  • Supervised
    • Classification: e.g., apples or pears
    • Regression: e.g., track stock market prices
  • Unsupervised
    • Clustering: creating groups out of data points
    • Association Rule Learning: associate different things to make predictions (as to what a customer might buy in the future)
  • Reinforcement
    • skill acquisition
    • real time learning

• Facebook ML

• NumPy
• pandas
• scikit-learn
• matplotlib
• jupyter
• kaggle
• seaborn
• bokeh

• Convert to String

1. Import the data - from kaggle.com
2. Clean the data - pandas
3. Split the data: training set, test set (80/20)
4. Create a Model
5. Check the output
6. Improve

• Nearest Neighbors
• K-Nearest Neighbors Demo
• K-Nearest Neighbors Algorithm
• Model Persistence

Finished course on Saturday, February 1, 2020