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    Python3: From Beginner to Pro

    Welcome to the brand new course in Python 3: Beginner to Pro.

    When I started creating this course, I had one objective in mind:

    “Teach like I wish I had been taught”.

    I remember the questions/doubts/hesitations I had when I was learning Python and I have tried very hard to address them in this course. This is why there are many many quizzes and code assignments/problems to solve in this course. No one learns to swim or ride a bicycle by attending lectures on swimming or biking and so it is with coding. You have to write the code, make mistakes, solve those mistakes and repeat. That is the only way to learn.

    A strong foundation is necessary for any new endeavor and if it seems that the course is a bit slow in the beginning, it is a deliberate choice to ensure that students have the requisite knowledge to proceed to the more challenging portions.

    Student feedback is a very important to me. It allows me to change portions of the course if necessary. Please don’t hesitate to ask pertinent questions and I will answer them ASAP.

    Some of the topics:

    Data types, variables, operators.

    Conversions between Data types

    Operators: Arithmetic, Assignment, Comparison

    Operators: Logical, Identity, Membership, Bitwise

    for loops, while loops and if-else branching

    Functions: Parameters, arguments, return values

    Functions: Positional and Keyword Argument

    Functions: Default Values for parameters

    Functions: Variable positional and Keyword arguments

    Functions: Local and Global Scope of variables

    Functions: Enumerate, Map, Filter, Reduce, Zip, Lambda

    Functions: Closures and Decorators

    Functions: List and Dictionary comprehensions

    Modules and Packages

    Built-in modules: os, sys, random, datetime, logging, math

    try-catch error handling

    Unit tests

    File handling: Text, CSV and JSON

    Regular Expressions (regex)

    Object Oriented Programming: Classes, Instances

    OOP: Class and Instance attributes, class and instance methods

    OOP: Instance creation step-by-step and the concept of self

    OOP: Instance Properties and attribute validation

    OOP: Class Inheritance and inherited attributes and methods

    OOP: The concept of super

    OOP: Method Resolution Order(MRO) for multi-level and multiple inheritance

    Web: Using simple HTTP methods via the requests module

    Web: Sending and receiving SMS messages using Twilio

    Web: Setting up a web server using Flask micro-framework

    Web: Dynamic HTML websites using Jinja2 templates

    Web: Connecting to a SQL database

    Web: Using Bootstrap4 in the website

    Web: Putting it all together to create a frontend and a backend.

    Data Analysis: Basics and Numpy

    Data Analysis: Numpy nD arrays and characteristics

    Data Analysis: Pandas dataframes

    Data Analysis: Dataframe manipulations, groupby and conditional extraction

    Data Analysis: Visualization of data using matplotlib and pandas

    Data Analysis: Visualization of data using Seaborn.

    There are ~80 quiz questions and ~35 programming exercises with the solutions in this course.

    Who this course is for:
    Beginner Python students and developers

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