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Course, complete with personal notes & scripts completed in Q1 2020.

License: MIT License

Python 100.00%
python functional-programming object-oriented-programming

python-zero-to-mastery-course's Introduction

Zero To Mastery Python Course

                                                                           Python Python

I completed this course in Q1 2020, with the aim to refresh my python skills in preparation for learning and applying ML/AI libraries such as scikit-learn, tensorflow/keras etc. See below a brief summary I've put together of what was covered.

Course Contents

Section 3 Python Basics

  • Learning different class types and methods on those classes to structure our data appropriately as well as some basic functions.

Section 4 Python Basics 2

  • if statements and for loops as well as some new functions such as enumerate
  • Parameters (name) and arguments (matt).
  • Defining functions.
  • Scope - what does the function have access to.

Section 5 Developer Environment

  • Terminal, code editors, IDE's and notebooks explained.

Section 6 Object Oriented Programming

  • Generating our own classes and methods on those classes.
  • 4 pillars of OOP: encapsulation, abstraction, inheritance, and polymorphism.
  • Introspection and dunder methods.
  • Super inheritance and method resolution order.

Section 7 Functional Programming

  • map, filter, zip and reduce (all higher order functions).
  • Lambda expressions.
  • Comprehension, list, set and dict.

Section 8 Decorators

  • Higher order functions.
  • Passing in parameters and decorator syntax.
  • Performance decorator & authenticate decorator.

Section 9 Error (Exception) Handling

  • while true, try, except, else (break), finally - syntax.
  • raise & exception statement.

Section 10 Generators

  • for i in range(n) .. yield.
  • Allows the user to pass through a range one at a time without having a list in memory.

Section 11 Modules in Python

  • Installing packages from pypi with pip.
  • Importing build in modules and installed modules as well as individual functions, including sys.

Section 12 Debugging in Python

  • pdb python debugger.

Section 13 File I/O

  • File input/output.
  • with statement and r(+), w(+) or a(+) modes. Main difference is where the stream is positions and ability to truncate.

Section 14 Regular Expressions

  • These are used to test the contents of a string, useful for things like password or email validation.

Section 15 Testing in Python

  • Looked at unittest and how to use it to spot areas for improvement in your code.

Section 16 Career of a Python Developer

  • Brief section on what career options are available.

Section 17 Scripting with Python

  • Image_processing -> using PIL and Pillow to filter, resize and convert images from JPG to PNG.
  • PDF_Processing -> using PyPDF2 to combine, rotate and merge PDF's. Learned how to open a PDF by using instantiating it as a PdfFileReader or PdfFileWriter class.

Section 18 Scraping Data with Python

  • Using the beautiful soup api to scrape web data.

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