Thank you for getting to this point. This repository was created for a project to learn Python. "2022 Complete Python Bootcamp From Zero to Hero in Python " from UDEMY.

Quick note: The trainer (Jose Portilla) uses Anaconda, Jupyter Notebooks. I tried to follow along using VSCode.

Topics Covered

• Section 1: Course Overview
• Section 2: Python Setup
• Section 3: Python Object and Data Structure Basics
• Section 4: Python Comparison Operators
• Section 5: Python Statements
• Section 6: Methods and Functions
• Section 7: Milestone Project - 1
• Section 8: Object Oriented Programming
• Section 9: Modules and Packages
• Section 10: Errors and Exception Handling
• Section 11: Milestone Project - 2
• Section 12: Python Decorators
• Section 13: Python Generators
• Section 14: Advanced Python Modules
• Section 15: Web-Scraping
• Section 16: Working-with-Images
• Section 17: PDFs-and-Spreadsheets
• Section 18: Emailing-with-Python
• Section 19: Advanced Python Objects and Data Structures
• Section 20: Milestone Project - 3
• Section 21: Bonus Material - Introduction to G

Install / Usage Process (My personal setup)

1. Installed VS Code.
2. Installed Python.
3. Installed several plugins from within VSCode related to Python.+

Setting up Environment Variables in Windows 10 PRO x64

Prerequisites:

• Python

1. Press Start > Write environment > Click Edit the system variables environment
2. Click Environment Variables
3. Under System variables, click New
   • Variable Name = python
   • Variable Value = C:\Users\Ivan\AppData\Local\Programs\Python\Python310\
4. Ok > Ok

Notes from the training per section

Section 2. Python Setup

• CLI Basics (Windows)
• Upgraded current python installation: py -3 -m pip install --upgrade pip

Section 3: Python Object and Data Structure Basics

• When to choose a list or dictionary?
  • Dictionary is OK when, for example, quickly wanting a value without needing to know its exact location--cons is that can't be sorted, sliced.

Section 4: Python Comparison Operator

• Logical operators - Chain operators
  • and or not
  • Ex: 1 < 2 and 2 < 3

Section 6: Methods and Functions

• *args to pass N values into a function in a tuple format
• **kwargs (keywords arguments) to create a dictionary based on the values sent to a function
• LEGB Rule
  • L: Local — Names assigned in any way within a function (def or lambda), and not declared global in that function.
  • E: Enclosing function locals — Names in the local scope of any and all enclosing functions (def or lambda), from inner to outer.
  • G: Global (module) — Names assigned at the top-level of a module file, or declared global in a def within the file.
  • B: Built-in (Python) — Names preassigned in the built-in names module : open, range, SyntaxError,...

Section 8: Object Oriented Programming

• Allows users to create their own objects.
• Allows us to create code that is repeatable and organized.
• Camel Casing for classes
• Syntax sample:
• def when is inside of a class is called a method.
• init is a special type that is always called when creating an instance of the class
• self keyword connects the method to the instance of the class

class NameOfClass():

    def __init__(self, param1, param2):
        self.param1 = param1
        self.param2 = param2

    def some_method(self):
        #perform some action
        print(self.param1)

Section 9: Modules and Packages

• Packages is a collection of modules
• Modules are scripts that you can call from a different .py files.
• init identifies a folder that should be a package or subpackage
• if __name__=="__main__": - original file or actual import
• Code organization

Section 10: Errors and Exception Handling

• Keywords
  • try: attempt
  • except: execute if error
  • finally:
• pylint
• unittest
• pylint myexample.py -r y
• PEP 8

Section 12: Decorators

• On/Off Switch for functions
• @ operators is used and located above the function
• we can pass functions as arguments

Section 13: Generators

• Generate a sequence of values over time
• usage of a yield statement
• range()
• Memory efficiency

Section 14: Advanced Python Modules

• Collections (from collections import...)
  • d = defaultdict(lambda: 0) -- assign default value to dictionary
  • named tuple
• OS
  • os.unlink(path) - delete a file
  • os.rmdir(path) - deletes a folder
  • shutil.rmtree(path) - remove all files and folders contained int he path
  • Better method: send2trash
• Math and Random
• Debugger
  • pdb.set_trace()
• Timeit
• Regular Expressions
• Unzipping and Zip

Section 15: Web Scrapping

• Automate the gathering of data from the web
• Libraries
  • pip install requests
  • pip install lxml
  • pip install bs4
• Sample:

  result = requests.get("http://example.com/")
  soup = bs4.BeautifulSoup(result.text,"lxml")
  print(soup.select('p'))

• Return tags. To remove soup.select('title')[0].getText()

Section 16: Working with images

• pip install pillow
• Image.open
• .rotate
• .save
• .paste

Section 17: Working with CSV and PDF

• Pandas
• Openpyxl
• Google Sheet Python API
• pip install PyPDF2

Section 18: Emails with Python

• import smtplib
• import imaplib