Python Mastery- A Comprehensive Guide

Python Mastery: A Comprehensive Guide, available at $54.99, with 101 lectures, 4 quizzes.

You will learn about Object-Oriented Programming (OOP) SOLID and Creational Design Patterns practical database integration using SQLAlchemy mini project – SQLAlchemy, Github Action, Docker unit test using pytest This course is ideal for individuals who are Individuals who have a basic understanding of Python and want to deepen their knowledge by exploring Object-Oriented Programming, Design Patterns, and database integration. or Those who are passionate about programming and eager to learn more advanced concepts beyond the basics. or Experienced software engineers who wish to refresh their Python skills and deepen their understanding of key concepts like OOP, Design Patterns, and database integration or Individuals looking to transition into a career in programming or software development who have some basic knowledge but want to build a strong foundation in Python and related concepts or Those interested in databases and want to explore how Python, particularly with SQLAlchemy, can be utilized for effective database integration. or for Test Engineer to write unit test using pytest It is particularly useful for Individuals who have a basic understanding of Python and want to deepen their knowledge by exploring Object-Oriented Programming, Design Patterns, and database integration. or Those who are passionate about programming and eager to learn more advanced concepts beyond the basics. or Experienced software engineers who wish to refresh their Python skills and deepen their understanding of key concepts like OOP, Design Patterns, and database integration or Individuals looking to transition into a career in programming or software development who have some basic knowledge but want to build a strong foundation in Python and related concepts or Those interested in databases and want to explore how Python, particularly with SQLAlchemy, can be utilized for effective database integration. or for Test Engineer to write unit test using pytest.

Enroll now: Python Mastery: A Comprehensive Guide

Summary

Title: Python Mastery: A Comprehensive Guide

Price: $54.99

Number of Lectures: 101

Number of Quizzes: 4

Number of Published Lectures: 101

Number of Published Quizzes: 4

Number of Curriculum Items: 105

Number of Published Curriculum Objects: 105

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

Object-Oriented Programming (OOP)

SOLID and Creational Design Patterns

practical database integration using SQLAlchemy

mini project – SQLAlchemy, Github Action, Docker

unit test using pytest

Who Should Attend

Individuals who have a basic understanding of Python and want to deepen their knowledge by exploring Object-Oriented Programming, Design Patterns, and database integration.

Those who are passionate about programming and eager to learn more advanced concepts beyond the basics.

Experienced software engineers who wish to refresh their Python skills and deepen their understanding of key concepts like OOP, Design Patterns, and database integration

Individuals looking to transition into a career in programming or software development who have some basic knowledge but want to build a strong foundation in Python and related concepts

Those interested in databases and want to explore how Python, particularly with SQLAlchemy, can be utilized for effective database integration.

for Test Engineer to write unit test using pytest

Target Audiences

Individuals who have a basic understanding of Python and want to deepen their knowledge by exploring Object-Oriented Programming, Design Patterns, and database integration.

Those who are passionate about programming and eager to learn more advanced concepts beyond the basics.

Experienced software engineers who wish to refresh their Python skills and deepen their understanding of key concepts like OOP, Design Patterns, and database integration

Individuals looking to transition into a career in programming or software development who have some basic knowledge but want to build a strong foundation in Python and related concepts

Those interested in databases and want to explore how Python, particularly with SQLAlchemy, can be utilized for effective database integration.

for Test Engineer to write unit test using pytest

This course title encapsulates the breadth of your tutorial, emphasizing the progression to advanced topics like Object-Oriented Programming (OOP), Design Patterns, and practical database integration using SQLAlchemy. It communicates a clear learning path for students interested in mastering Python and its applications in real-world scenarios.

The course you’ve outlined, covering Object-Oriented Concepts, Design Patterns, and Database integration using SQLAlchemy, Git, unit test using Pytest and CICD with mini project, is well-suited for the following audience:

Beginner to Intermediate Python Developers:

Individuals who have a basic understanding of Python and want to deepen their knowledge by exploring Object-Oriented Programming, Design Patterns, and database integration.

Computer Science Students:

Students pursuing computer science or related fields can benefit from a comprehensive course that covers foundational Python concepts, OOP principles, design patterns, and practical database integration.

Web Developers:

Web developers who want to expand their skills by understanding not only Python basics but also how to implement Object-Oriented Design, apply Design Patterns, and integrate databases using SQLAlchemy in web development projects.

Career Switchers:

Individuals looking to transition into a career in programming or software development who have some basic knowledge but want to build a strong foundation in Python and related concepts.

We provide a well-rounded learning experience in the specified Python-related topics.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction and Motivation

Lecture 2: Course Breakdown

Lecture 3: What to expect from this course

Lecture 4: Whats included in this course

Chapter 2: Object-Oriented Programming (OOP)

Lecture 1: Create Class with Attribute and Method

Lecture 2: How Class Help to Create Complex Solution

Lecture 3: Check Instance Type of Class

Lecture 4: Class Method and Attribute

Lecture 5: Callable Object

Lecture 6: Compare Class Object using Magic Method

Lecture 7: Magic Method str and repr

Lecture 8: Magic Method to Access Attribute

Lecture 9: Abstract Base Class

Lecture 10: Interface

Lecture 11: Inheritance

Lecture 12: Multiple Inheritance

Lecture 13: Composite Class

Chapter 3: SOLID Overview

Lecture 1: SOLID Design Pattern Overview

Lecture 2: Single Responsibility

Lecture 3: Open/Close Principle

Lecture 4: Liskov Substitution Principle – SOLID

Lecture 5: Interface Segregation Principle ISP – SOLID

Lecture 6: Dependency Inversion – SOLID

Chapter 4: Creational Design Patterns

Lecture 1: Factory Method

Lecture 2: Code Along – Factory Method(1) – interface requirement

Lecture 3: Code Along – Factory Method(2) – Object Creation using Factory

Lecture 4: Code Along – Factory Method(2) – Apply Open Close Principle

Lecture 5: Builder Pattern Introduction

Lecture 6: Builder Pattern Demo

Lecture 7: Singleton Pattern – Mind Map Story

Lecture 8: Singleton Pattern

Lecture 9: Singleton Pattern – Summary

Lecture 10: Prototype Pattern

Chapter 5: Database Integration using SQLAlchemy

Lecture 1: Introduction SQLAlchemy

Lecture 2: Version Check

Lecture 3: Install SQLAlchemy

Lecture 4: Insert data into table – Core

Lecture 5: Create table – Core

Lecture 6: Read data from table – Core

Lecture 7: Read data from table using Pandas

Lecture 8: Load data to table using Pandas

Lecture 9: Update table data – Core

Lecture 10: Delete records from table – Core

Lecture 11: Delete table – Core

Lecture 12: Advantages of SQLAlchemy Core

Lecture 13: SQLAlchemy Core – Summary

Lecture 14: SQLAlchemy ORM – Introduction

Lecture 15: Classical Mapping – ORM

Lecture 16: Declarative API – ORM

Lecture 17: Declarative API Model Demo

Lecture 18: Create table and load data – ORM

Lecture 19: Read data from table – ORM

Lecture 20: Read data with filter – ORM

Lecture 21: Update table data – ORM

Lecture 22: Delete records from table – ORM

Lecture 23: Advantages of SQLAlchemy ORM

Lecture 24: Mini Project(SQLAlchemy) – Problem Statement

Lecture 25: Mini Project Demo using Docker – Preview

Lecture 26: Mini Project(SQLAlchemy) – Solution

Chapter 6: Git

Lecture 1: git clone

Lecture 2: git add and commit

Lecture 3: git push

Lecture 4: gitignore file

Lecture 5: git pull

Chapter 7: Unit Test using Pytest

Lecture 1: pytest Introduction

Lecture 2: Install pytest

Lecture 3: PyCharm Test Runner Configuration

Lecture 4: Version Check

Lecture 5: What is TDD

Lecture 6: TDD Example

Lecture 7: pytest assert

Lecture 8: Exceptions

Lecture 9: Command line arguments

Lecture 10: Command line arguments – Demo (Directory and -k)

Lecture 11: Command line arguments – Demo (mark and maxfail)

Lecture 12: Command line arguments – Demo (verbose, quite and ignore)

Lecture 13: Approx Numeric Value

Lecture 14: Test Fixtures

Lecture 15: Test Fixtures Example – Setup

Lecture 16: Test Fixture Example – Teardown

Lecture 17: Test Fixture Scope – Session and Function

Lecture 18: Test Fixture Scope – Module

Lecture 19: Test Fixture Scope – Class

Lecture 20: Test Fixture Param Example

Lecture 21: Test Fixture parametrized tests

Lecture 22: Pytest Coverage

Lecture 23: doctest

Lecture 24: pytest.ini file – configurations

Lecture 25: pytest log filename with timestamp

Instructors

NITISH MAHATO
Python Expert

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