Locked Python 3: Fundamentals

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Learn Python the right way!

Description

This Course in a Nutshell
Aimed at beginner Python developers, this course will provide you a fundamental understanding of how to program in Python. Your journey will take you from a total Python beginner to an intermediate level Python developer more than ready to tackle your own professional projects.

This course will provide you the solid foundation you will need to continue moving forward in your Python development endeavors. This course is not a "here's how I do it, just type along please" type of course - its goal is to make you understand each and every line of code we are going to write together, why we write it and why it works, giving you the knowledge to apply the same coding techniques to your own situation and problems.

Like any good college level course, this course is fairly lengthy and will require time, not only for watching the videos, but also working on your own to explore the various topics, trying things out, and at the end of each section working on increasingly complex problems. It takes a certain amount of time to master a programming language, and this course is no exception. If you are looking for a quick and superficial intro to Python, then this course is probably not for you.

Course Overview
This course balances theory and coding practice. Most subjects are two-part: a theory (or lecture) video where we cover a specific topic, explain how things work, followed by a practice (or coding) video which takes the lecture material and applies it using real code. I highly encourage you to take notes during the lectures, and code along with me during the coding videos - that's the beauty of online videos - you can pause, rewind, speed up, slow down as you need!

All the course slides (over 900 of them!) are available for download if you prefer that approach over taking your own notes.

We use Jupyter notebooks as the perfect tool for teaching and learning Python.
Jupyter notebooks support both Python code as well as interspersed markdown documentation. You will find that every code video in this course has a corresponding Jupyter notebook available in the course downloads, that not only reproduces all the code we do in the coding videos, but is fully annotated with explanations of the code, basically what I cover in the coding videos, and sometimes more!

All the notebooks and the data files we will work with, are available in the course downloads in the first section of this course as well as in GitHub.

At the end of each section, you will find a set of exercises with solutions. It is imperative that you work through these exercises, and only move on to the next section once you are able to do these exercises on your own. Each section of this course builds on top of the previous one!

The course is broadly broken down into three main parts:

Python Basics

    What is Python
    How to install Python
    How to create and use virtual environments
    How to run Python and Jupyter notebooks
    Basic data types including integers, floats, booleans
    Boolean operators
    Arithmetic and comparison operators, as well as operator precedence
    Conditional execution
    Looping (for and while)
    Sequence types such as lists, tuples and strings
    Working with sequence types (iterating, slicing, manipulating, copying, unpacking)
    More on strings and Unicode
    Dictionaries and sets
    Python's list, dictionary and set comprehensions
    Exceptions and exception handling
    Iterables and iterators, including generators
    Writing user defined functions and different ways of defining and passing arguments
    Lambda functions
    Some of Python's built-in functions (such as zip, sorted, min, max, and round)

Intermediate Python

    Higher order functions (passing and returning functions from functions)
    Maps (dictionaries)
    Closures
    Advanced sorting and filtering
    Decorators - what they are, and how to write your own
    Reading and writing text files
    Python's module and import system
    How to work with dates and times
    How to read and write CSV files
    Random numbers and sampling
    A look at Python Math and Stats modules
    Decimal data type - for when floats aren't precise enough
    How to write your own custom Classes (OOP)

3rd Party Libraries

    the pytz library for dealing with timezones and daylight savings
    the dateutil library for parsing date/time strings
    What is JSON data, and how to read and write JSON
    What are REST APIs
    How to use the requests library for HTTP/s requests (and how to interact with a REST API)
    Fundamentals of the NumPy library for fast numerical computations
    Fundamentals of the Pandas library for working with data sets (including indexing)
    Fundamentals of the matplotlib library for charting data

Who this course is for:

    Beginners who want to learn Python like a software engineer
    Students who want to gain a solid fundamental understanding of the Python language and ecosystem
    Software engineers with knowledge of other languages, but new to Python
    Not intended for students looking for a "quick and light" introduction to Python

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