Overview

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 typesOperators: Arithmetic, Assignment, ComparisonOperators: Logical, Identity, Membership, Bitwisefor loops, while loops and if-else branchingFunctions: Parameters, arguments, return valuesFunctions: Positional and Keyword ArgumentFunctions: Default Values for parametersFunctions: Variable positional and Keyword argumentsFunctions: Local and Global Scope of variablesFunctions: Enumerate, Map, Filter, Reduce, Zip, LambdaFunctions: Closures and DecoratorsFunctions: List and Dictionary comprehensionsModules and PackagesBuilt-in modules: os, sys, random, datetime, logging, mathtry-catch error handlingUnit testsFile handling: Text, CSV and JSONRegular Expressions (regex)Object Oriented Programming: Classes, InstancesOOP: Class and Instance attributes, class and instance methodsOOP: Instance creation step-by-step and the concept of selfOOP: Instance Properties and attribute validationOOP: Class Inheritance and inherited attributes and methodsOOP: The concept of superOOP: Method Resolution Order(MRO) for multi-level and multiple inheritanceWeb: Using simple HTTP methods via the requests moduleWeb: Sending and receiving SMS messages using TwilioWeb: Setting up a web server using Flask micro-frameworkWeb: Dynamic HTML websites using Jinja2 templatesWeb: Connecting to a SQL databaseWeb: Using Bootstrap4 in the websiteWeb: Putting it all together to create a frontend and a backend.Data Analysis: Basics and NumpyData Analysis: Numpy nD arrays and characteristicsData Analysis: Pandas dataframesData Analysis: Dataframe manipulations, groupby and conditional extractionData Analysis: Visualization of data using matplotlib and pandasData Analysis: Visualization of data using Seaborn.There are ~80 quiz questions and ~35 programming exercises with the solutions in this course.

Skills

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