PostgreSQL Databases | Python Programming(Build App and API)

PostgreSQL Databases | Python Programming(Build App and API), available at $59.99, has an average rating of 3.67, with 109 lectures, based on 3 reviews, and has 1026 subscribers.

You will learn about Installing and configuring PostgreSQL. Understanding the fundamental concepts of PostgreSQL databases. Creating PostgreSQL databases and tables. Understanding and utilizing PostgreSQL data types. Understanding the concept of CRUD (Create, Read, Update, Delete) operations. Performing CRUD operations in PostgreSQL. Understanding and utilizing table joins in PostgreSQL. Performing various types of PostgreSQL table joins like Inner Join, Left Join, Right Join, and Full Outer Join. Understanding and utilizing PostgreSQL aggregate functions like COUNT, SUM, AVG, MAX, and MIN. Creating and using PostgreSQL triggers for automatic database operations. Basic Python programming syntax and concepts. Understanding and using Python variables and data types. Implementing conditional statements in Python. Understanding and utilizing loops in Python. Writing and calling Python functions. Using Jupyter Notebook for Python coding and testing. Connecting a PostgreSQL database with a Python application. Performing database operations in Python using PostgreSQL. Understanding the structure of a database-driven Python application. Designing and building a database-driven Python application. Introduction to API and their importance. Basics of the Django framework and Django REST Framework. Building APIs using Django and Django REST Framework. Connecting an API to a PostgreSQL database. Making API calls from a Python application. Understanding the principles of the REST architecture. Testing and debugging a Python application connected to a PostgreSQL database. This course is ideal for individuals who are Beginner Programmers: Individuals who are starting their journey in programming and want to learn Python and PostgreSQL. This course provides foundational knowledge in Python and database management with PostgreSQL. or Experienced Programmers: Those already familiar with programming concepts but want to expand their knowledge into Python and PostgreSQL. This course can act as an efficient refresher or skill enhancer. or Database Administrators: Those who want to gain or enhance their understanding of PostgreSQL, including CRUD operations, table joins, triggers, and aggregate functions. or Web Developers: Those looking to build database-driven applications and APIs using Python, Django, and PostgreSQL. This course covers the use of Django REST Framework, which is widely used for API development. or Data Analysts and Data Scientists: Those who work with data regularly and want to enhance their data retrieval and manipulation skills using PostgreSQL. Python is also widely used in data analysis and machine learning, making this a good course for data professionals. or Career Changers: Individuals looking to shift their career into the tech industry, especially into roles such as software development, web development, or database administration. or IT Professionals: Those who wish to upskill by learning a modern programming language like Python and a robust database system like PostgreSQL. or Students: Those studying computer science or a related field, seeking to augment their academic knowledge with practical skills in Python and PostgreSQL. or This course is designed to cater to a broad spectrum of learners, ranging from beginners to experienced professionals looking to upgrade their skills or transition into new roles. It is particularly useful for Beginner Programmers: Individuals who are starting their journey in programming and want to learn Python and PostgreSQL. This course provides foundational knowledge in Python and database management with PostgreSQL. or Experienced Programmers: Those already familiar with programming concepts but want to expand their knowledge into Python and PostgreSQL. This course can act as an efficient refresher or skill enhancer. or Database Administrators: Those who want to gain or enhance their understanding of PostgreSQL, including CRUD operations, table joins, triggers, and aggregate functions. or Web Developers: Those looking to build database-driven applications and APIs using Python, Django, and PostgreSQL. This course covers the use of Django REST Framework, which is widely used for API development. or Data Analysts and Data Scientists: Those who work with data regularly and want to enhance their data retrieval and manipulation skills using PostgreSQL. Python is also widely used in data analysis and machine learning, making this a good course for data professionals. or Career Changers: Individuals looking to shift their career into the tech industry, especially into roles such as software development, web development, or database administration. or IT Professionals: Those who wish to upskill by learning a modern programming language like Python and a robust database system like PostgreSQL. or Students: Those studying computer science or a related field, seeking to augment their academic knowledge with practical skills in Python and PostgreSQL. or This course is designed to cater to a broad spectrum of learners, ranging from beginners to experienced professionals looking to upgrade their skills or transition into new roles.

Enroll now: PostgreSQL Databases | Python Programming(Build App and API)

Summary

Title: PostgreSQL Databases | Python Programming(Build App and API)

Price: $59.99

Average Rating: 3.67

Number of Lectures: 109

Number of Published Lectures: 109

Number of Curriculum Items: 109

Number of Published Curriculum Objects: 109

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

Installing and configuring PostgreSQL.
Understanding the fundamental concepts of PostgreSQL databases.
Creating PostgreSQL databases and tables.
Understanding and utilizing PostgreSQL data types.
Understanding the concept of CRUD (Create, Read, Update, Delete) operations.
Performing CRUD operations in PostgreSQL.
Understanding and utilizing table joins in PostgreSQL.
Performing various types of PostgreSQL table joins like Inner Join, Left Join, Right Join, and Full Outer Join.
Understanding and utilizing PostgreSQL aggregate functions like COUNT, SUM, AVG, MAX, and MIN.
Creating and using PostgreSQL triggers for automatic database operations.
Basic Python programming syntax and concepts.
Understanding and using Python variables and data types.
Implementing conditional statements in Python.
Understanding and utilizing loops in Python.
Writing and calling Python functions.
Using Jupyter Notebook for Python coding and testing.
Connecting a PostgreSQL database with a Python application.
Performing database operations in Python using PostgreSQL.
Understanding the structure of a database-driven Python application.
Designing and building a database-driven Python application.
Introduction to API and their importance.
Basics of the Django framework and Django REST Framework.
Building APIs using Django and Django REST Framework.
Connecting an API to a PostgreSQL database.
Making API calls from a Python application.
Understanding the principles of the REST architecture.
Testing and debugging a Python application connected to a PostgreSQL database.

Who Should Attend

Beginner Programmers: Individuals who are starting their journey in programming and want to learn Python and PostgreSQL. This course provides foundational knowledge in Python and database management with PostgreSQL.
Experienced Programmers: Those already familiar with programming concepts but want to expand their knowledge into Python and PostgreSQL. This course can act as an efficient refresher or skill enhancer.
Database Administrators: Those who want to gain or enhance their understanding of PostgreSQL, including CRUD operations, table joins, triggers, and aggregate functions.
Web Developers: Those looking to build database-driven applications and APIs using Python, Django, and PostgreSQL. This course covers the use of Django REST Framework, which is widely used for API development.
Data Analysts and Data Scientists: Those who work with data regularly and want to enhance their data retrieval and manipulation skills using PostgreSQL. Python is also widely used in data analysis and machine learning, making this a good course for data professionals.
Career Changers: Individuals looking to shift their career into the tech industry, especially into roles such as software development, web development, or database administration.
IT Professionals: Those who wish to upskill by learning a modern programming language like Python and a robust database system like PostgreSQL.
Students: Those studying computer science or a related field, seeking to augment their academic knowledge with practical skills in Python and PostgreSQL.
This course is designed to cater to a broad spectrum of learners, ranging from beginners to experienced professionals looking to upgrade their skills or transition into new roles.

Target Audiences

Beginner Programmers: Individuals who are starting their journey in programming and want to learn Python and PostgreSQL. This course provides foundational knowledge in Python and database management with PostgreSQL.
Experienced Programmers: Those already familiar with programming concepts but want to expand their knowledge into Python and PostgreSQL. This course can act as an efficient refresher or skill enhancer.
Database Administrators: Those who want to gain or enhance their understanding of PostgreSQL, including CRUD operations, table joins, triggers, and aggregate functions.
Web Developers: Those looking to build database-driven applications and APIs using Python, Django, and PostgreSQL. This course covers the use of Django REST Framework, which is widely used for API development.
Data Analysts and Data Scientists: Those who work with data regularly and want to enhance their data retrieval and manipulation skills using PostgreSQL. Python is also widely used in data analysis and machine learning, making this a good course for data professionals.
Career Changers: Individuals looking to shift their career into the tech industry, especially into roles such as software development, web development, or database administration.
IT Professionals: Those who wish to upskill by learning a modern programming language like Python and a robust database system like PostgreSQL.
Students: Those studying computer science or a related field, seeking to augment their academic knowledge with practical skills in Python and PostgreSQL.
This course is designed to cater to a broad spectrum of learners, ranging from beginners to experienced professionals looking to upgrade their skills or transition into new roles.

Dive deep into the world of Python programming and PostgreSQL databases with our comprehensive course designed to take you from beginner to expert. In this dynamic and engaging course, you will learn the essential concepts and practices used by professional programmers and database administrators worldwide.

This course begins by guiding you through the PostgreSQL Setup, introducing you to the world of relational databases. You will gain a solid understanding of PostgreSQL Database Fundamentals, including database schemas, data types, and relationships.

Once you’re comfortable with the basics, we’ll venture into Performing PostgreSQL CRUD Operations, where you’ll learn how to Create, Read, Update, and Delete data in your PostgreSQL databases. You’ll then discover the power of PostgreSQL Table Joins, which allow you to combine data from multiple tables in powerful and insightful ways.

We’ll also delve into advanced SQL concepts, including PostgreSQL Aggregate Functions for summarizing data, and PostgreSQL Triggers which allow automatic actions based on database events.

Shifting gears, we’ll introduce you to Python, one of the world’s most popular and powerful programming languages. You will get hands-on experience with Performing basic Python operations like Loops, conditional statements, Variables, and functions with Jupyter Notebook. This knowledge will form the foundation for all your Python programming.

The course then merges these two powerful tools – Python and PostgreSQL. You will learn how to Build a database-driven application with PostgreSQL and Python, enabling you to create dynamic and interactive web applications.

Lastly, you’ll enter the world of APIs. Building an API with Python, Django, PostgreSQL, and the REST Framework will be the final step in your journey. This will allow your applications to communicate with other applications, providing powerful and flexible functionality.

By the end of the course, you will have a thorough understanding of Python programming and PostgreSQL databases, and you will be able to create sophisticated web applications and APIs. Whether you’re just starting your coding journey or looking to enhance your skills, this course will provide the knowledge and experience you need to succeed.

Course Curriculum

Chapter 1: PostgreSQL Setup

Lecture 1: Introduction

Lecture 2: What is PostgreSQL

Lecture 3: PostgreSQL Installation Requirements

Lecture 4: Install PostgreSQL for Windows

Lecture 5: Install PostgreSQL for Mac

Lecture 6: Installing PgAdmin on Mac

Lecture 7: Connecting PgAdmin to PostgreSQL

Lecture 8: Install Sample Database

Chapter 2: PostgreSQL Fundamentals

Lecture 1: Database Concepts

Lecture 2: PostgreSQL Data Types

Lecture 3: PostgreSQL Unique Constraint

Lecture 4: Filtering data using WHERE Clause

Lecture 5: Retrieving all data from a table

Lecture 6: Retrieving data from a specific column

Lecture 7: Removing duplicate records

Lecture 8: Sorting Data

Lecture 9: Grouping Data

Lecture 10: Using the HAVING Clause

Lecture 11: Truncating a table

Lecture 12: Stored Procedures

Chapter 3: Performing CRUD Operation with PostgreSQL

Lecture 1: What is CRUD

Lecture 2: Create database with pgadmin

Lecture 3: Create a table with pgadmin

Lecture 4: Create a table with SQL Statement

Lecture 5: Inserting records

Lecture 6: Retrieve data with SQL SELECT Statement

Lecture 7: Retrieving data with a subquery

Lecture 8: Updating existing records

Lecture 9: Deleting records

Chapter 4: PostgreSQL Table Joins

Lecture 1: Introduction to table joins

Lecture 2: INNER Table Join

Lecture 3: LEFT Table Join

Lecture 4: FULL OUTER Table Join

Lecture 5: NATURAL Table Join

Lecture 6: CROSS Table Join

Chapter 5: PostgreSQL Aggregate Functions

Lecture 1: Introduction to Aggregate Functions

Lecture 2: AVG Aggregate Functions

Lecture 3: COUNT Aggregate Functions

Lecture 4: MAX Aggregate Functions

Lecture 5: MIN Aggregate Functions

Lecture 6: SUM Aggregate Functions

Chapter 6: PostgreSQL Triggers

Lecture 1: Introduction to triggers

Lecture 2: Creating a trigger – Part 1

Lecture 3: Creating a trigger – Part 2

Lecture 4: Creating a trigger – Part 3

Lecture 5: Managing triggers

Chapter 7: Setting Up Python Programming Environment

Lecture 1: What is Python

Lecture 2: What is Jupyter Notebook

Lecture 3: Installing Jupyter Notebook Server

Lecture 4: Running Jupyter Notebook Server

Lecture 5: Notebook Dashboard

Lecture 6: Jupyter Notebook Interface

Lecture 7: Creating a new Notebook

Chapter 8: Python Programming Fundamentals

Lecture 1: Python Expressions

Lecture 2: Python Statements

Lecture 3: Python Comments

Lecture 4: Python Data Types

Lecture 5: Python Variables

Lecture 6: Python List

Lecture 7: Python Dictionaries

Lecture 8: Python Operators

Lecture 9: Python Conditional Statements

Lecture 10: Python Loops

Lecture 11: Python Functions

Chapter 9: Build a database driven app with PostgreSQL and Python

Lecture 1: What we will create

Lecture 2: Create a database and table

Lecture 3: Create sequence and alter table column

Lecture 4: Installing Python on Windows

Lecture 5: Installing Python on Macs

Lecture 6: Note on text editor

Lecture 7: Installing Text Editor

Lecture 8: Project design

Lecture 9: Create project directory and Python file

Lecture 10: Create the application interface – Part 1

Lecture 11: Create the application interface – Part 2

Lecture 12: Create and activate a virtual environment

Lecture 13: Install Python Database Connector

Lecture 14: Create database configuration file

Lecture 15: Connecting to PostgreSQL Database from Python file

Lecture 16: Create a class and methods

Lecture 17: Create standalone functions

Lecture 18: Binding button widgets to functions

Lecture 19: Testing the application

Lecture 20: Viewing database data with SQL

Lecture 21: Project Code

Chapter 10: Build API Using (Python , Django ,PostgreSQL,REST Framework)

Lecture 1: What is an API

Lecture 2: What is REST Framework

Lecture 3: What is Django

Lecture 4: Creating and activating a virtual environment

Lecture 5: Installing Django

Instructors

Skill Tree
Skill based learning

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5 stars: 1 votes

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