Python Programming

Introduction

Working with Lists & Tuples in Python

Working with Dictionaries and Sets

Shallow & Deep Copies

If-else Control Structures

The Basics of for Loops in Python

Advanced Operations Using for Loops

While Loops

Functions in Python: Introduction

Gaining a Deeper Understanding of Python Functions

Working with Advanced Features of Python Functions

Final Exam: Python Novice

File Operations in Python

Exceptions and Command Line Arguments

Python Modules & Virtual Environments

Migrating from Python 2 to Python 3

Python Classes & Inheritance: Introduction

Working with Inheritance in Python

Advanced Functionality Using Python Classes

Fundamental Data Structures

Implementing Data Structures

Sorting Algorithms

Implementing Sorting Algorithms

Trees & Graphs

Implementing Trees & Graphs

Final Exam: Python Apprentice

An Introduction to Python’s Unittest Frame

Advanced Python Testing Using the Unittest Framework

Testing Python Code Using Pytest

Testing Python Code Using Doctest

HTTP Requests with Python

An Introduction to Web Frameworks & Flask

Building a Simple Web Site Using Flask

User Interactions in Flask Applications

User Authentication in a Flask Application

Introduction to Concurrent Programming

Multithreading in Python

Multiprocessing in Python

Asynchronous Executions in Python

Final Exam: Python Journeyman

Introduction to Using PyCharm IDE

Working with Excel Spreadsheets from Python

Performing Advanced Operations

Constructing Data Visualizations

Socket Programming in Python: Introduction

Socket Programming in Python: Advanced Topics

Python Design Patterns: Principles of Good Design

Working with Creational Design Patterns

Working with Structural Design Patterns

Working with Behavioral Design Patterns

Final Exam: Pythonista

Developing and Supporting an Agile Mindset

Encouraging Team Communication & Collaboration

The Essential Role of the Agile Product Owner

Using Strategic Thinking to Consider the Big Picture

Getting to the Root of the Problem

Unleashing Personal and Team Creativity

Contributing as a Virtual Team Member

Developing a Growth Mindset

Developing a Successful Team

Reaching Sound Conclusions

Python Novice Practice Lab – 8 Hours

Python Apprentice Practice Lab – 8 Hours

Python Journeyman Practice Lab – 8 Hours

Pythonista Practice Lab – 8 Hours

Creating Infographics and Data Visualization with Python Practice Lab – 8 Hours

Architecting Advanced ML/DL Apps with Python – 6 Hours

Get into Programming with Python Bootcamp – 12 hours

Data Visualization in Python Bootcamp – 12 hours

Data Wangling in Python Bootcamp – 10 hours

Python for DevOps Bootcamp – 4 hours

Python Best Practices Bootcamp – 12 hours

Python Development: Getting Started with Programming in Python

Python Development: Performing Operations with Complex Data Types

Python Development: Working with If Statements, Loops, & Comprehensions

Python Development: Defining, Configuring, & Invoking Functions

Python Development: Leveraging Functions with Lambdas, Generators, Closures, & Decorators

Python Development: Creating Classes, Handling Errors, & Importing Modules

Final Exam: Python for Developers

Python Statistical Plots: Visualizing & Analyzing Data Using Seaborn

Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn

Python with Altair: An Introduction to Altair

Python with Altair: Plotting Fundamental Graphs

Python with Altair: Working with Specialized Graphs

Dash Python Framework: Dash for Interactive Web Apps

Dash Python Framework: Leveraging Dash with User Input & Dash DataTable

Dash Python Framework: Creating Widgets in Dash Apps

Final Exam: Data Visualization for Web App Using Python

SQL Databases Using SQLAlchemy: Getting Started

SQL Databases Using SQLAlchemy: Manipulating Data

SQL Databases Using SQLAlchemy: Querying Data

SQL Databases Using SQLAlchemy: Chaining Joins, Views, & Indexes

SQL Databases Using SQLAlchemy: Using Triggers, Stored Procedures, & Transactions

SQL Databases Using SQLAlchemy: Using the SQLAlchemy ORM

Operations with petl: Introduction

Operations with petl: Basic Data Transformations

Operations with petl: Advanced Extractions & Transformations

HTTP Requests with HTTPX: Introduction

HTTP Requests with HTTPX: Ad

Final Exam: Dynamic Data Handling with Python

Flask-RESTful: Getting Started with Flask-RESTful to build APIs

Flask-RESTful: Parsing & Validating Input Requests

Flask-RESTful: Integrating the API Server with a MySQL Database

Molten Framework: Building HTTP APIs

Molten Framework: Advanced Features

Web Applications with Django: Introducing the Django Web Framework

Web Applications with Django: Using Built-in & Custom Applications

Web Applications with Django: Working with Models

Web Applications with Django: Models & Class-based Views

Web Applications with Django: Building Multiple Apps in a Project

Web Applications with Django: Developing REST APIs

Final Exam: Building Restful Web Services with Python

Open CV: Introduction

Open CV: Manipulating Images

Open CV: Advanced Image Operations

Faust: Getting Started with Stream Processing

Faust: Stream Processing Using Models, Agents, & Channels

Faust: Performing Operations & Maintaining State Using Tables

Faust: Stream Processing Using Windowing Operations

Final Exam: Resource Optimization with Python

Analyzing Data with Python – 8 Hours

Data Wangling with Python – 8 Hours

Implementing Data Ops with Python – 8 Hours

Data Visualization with Python – 8 hours

Creating Infographics and Data Visualization with Python Practice Lab – 8 Hours

Python for DevOps Bootcamp – 4 hours

Python Best Practices Bootcamp – 12 hours