Working with Python on Windows and SQL Server Databases

Working with Python on Windows and SQL Server Databases, available at $64.99, has an average rating of 4.8, with 58 lectures, 8 quizzes, based on 143 reviews, and has 770 subscribers.

You will learn about How to access and work with SQL Server databases from within your Python programs How to run T-SQL queries against your SQL Server databases from within your Python programs How to Call Dynamic Management Views (DMVs), Aggregation Functions and global system variables How to execute SQL Server functions and stored procedures from within your Python programs How to use parameters and exception handling in all database operations in your Python code How to set up your Python development environment on Windows How to work with Visual Studio Code for Python development This course is ideal for individuals who are Python developers who want to learn how to work with SQL Server via their Python programs or Data Scientists who want to learn more about SQL Server database access via Python programming or Technology enthusiasts who want to learn more about Python programming and SQL Server database access or Programmers who want to get started with Python programming focused on data access topics It is particularly useful for Python developers who want to learn how to work with SQL Server via their Python programs or Data Scientists who want to learn more about SQL Server database access via Python programming or Technology enthusiasts who want to learn more about Python programming and SQL Server database access or Programmers who want to get started with Python programming focused on data access topics.

Enroll now: Working with Python on Windows and SQL Server Databases

Summary

Title: Working with Python on Windows and SQL Server Databases

Price: $64.99

Average Rating: 4.8

Number of Lectures: 58

Number of Quizzes: 8

Number of Published Lectures: 58

Number of Published Quizzes: 8

Number of Curriculum Items: 66

Number of Published Curriculum Objects: 66

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

How to access and work with SQL Server databases from within your Python programs

How to run T-SQL queries against your SQL Server databases from within your Python programs

How to Call Dynamic Management Views (DMVs), Aggregation Functions and global system variables

How to execute SQL Server functions and stored procedures from within your Python programs

How to use parameters and exception handling in all database operations in your Python code

How to set up your Python development environment on Windows

How to work with Visual Studio Code for Python development

Who Should Attend

Python developers who want to learn how to work with SQL Server via their Python programs

Data Scientists who want to learn more about SQL Server database access via Python programming

Technology enthusiasts who want to learn more about Python programming and SQL Server database access

Programmers who want to get started with Python programming focused on data access topics

Target Audiences

Python developers who want to learn how to work with SQL Server via their Python programs

Data Scientists who want to learn more about SQL Server database access via Python programming

Technology enthusiasts who want to learn more about Python programming and SQL Server database access

Programmers who want to get started with Python programming focused on data access topics

Python is one of the world’s most popular programming languages. Its simplified syntax, helps Programmers to easily develop different types of applications fast and easy. From Data Science and Machine Learning applications, to general purpose applications, Python makes it easy for the Developer, to build these applications. Additionally, when you combine the Python programming language, with the popular SQL Server Data Platform, you have a  powerful software development setup, via which you can build just about anything!

This course does exactly that: it helps you learn how to access and work with SQL Server databases, directly from your Python programs, by teaching you how to perform all the major database development operations from within your Python code.

With my course, among other, you will learn how to set up your Python development environment on Windows using Visual Studio Code and the Python extension, you will refresh your memory on the basic Python data structures and commands, learn how to connect to SQL Server from within your Python programs, learn how to run SQL Server SELECT, INSERT, UPDATE and DELETE T-SQL statements from within your Python code using parameters and exception handling, learn how to create and call SQL Server stored procedures, functions, DMVs, global system variables, and much more!

WHAT OTHER STUDENTS SAY ABOUT THE COURSE:

“Really amazing course. I never thought it was so easy and interesting to work with Python on SQL server. If you want to work Python on SQL server, I am sure after this course you will be able to work, even you have no prior knowledge of Python.”

“Thorough explanation and examples led to my being able to write and execute queries in SQL server with Python.”

“Great quality and relevance to my job!”

“The course explains in simple words how I can work with SQL Server from my Python programs.”

“Excellent course! Just what I needed to use Python with SQL Server!”

WHAT IS THIS COURSE ALL ABOUT?

Python is a very popular programming language. Due to its simplified syntax, Programmers can develop a wide range of software applications, fast and easy. With Python, you can easily build Data Science and Machine Learning projects, as well as general purpose applications. When combined with the popular SQL Server Data Platform, it provides Software Developers and Data Scientists, with a powerful software development setup, that can be used for building just about anything!

This course has been carefully designed, in order to help you get started with Python programming for SQL Server data access. Via a well-structured curriculum, it starts with helping you set up your Python development environment on Windows, using Visual Studio code and the proper extensions, then explains the different options for connecting to SQL Server databases and then deep dives into a comprehensive set of live demonstrations, via which you will learn how to execute SQL Server SELECT, INSERT, UPDATE and DELETE SQL statements, as well as, work with SQL Server stored procedures and functions and all that, via your Python programs. Last but not least, the course helps you get started with SQL Server Machine Learning Services, and more specifically, it helps you get started with executing Python scripts, directly in SQL Server, in-database.

So join me into a 6-hour journey and learn all about working with SQL Server databases, from within your Python programs!

AFTER THE COURSE:

You will know how to install Python on Windows and set your development environment with Visual Studio Code and the proper extensions.

You will know how to connect your Python programs to SQL Server instances and databases.

You will know how to run different types of T-SQL queries against your SQL Server databases, from within your Python Programs:

Execute and process SELECT, INSERT, UPDATE and DELETE T-SQL statements

Call Dynamic Management Views (DMVs)

Call aggregation functions

Call SQL Server global system variables

You will know how to execute SQL Server functions and stored procedures, from within your Python Programs.

You will know how to use parameters and exception handling for all the above database operations within your Python code.

You will know how to directly execute Python scripts in SQL Server, in-database, using SQL Server Machine Learning Services.

PREREQUISITES FOR ATTENDING THE COURSE:

Basic knowledge of the Python programming language

Basic knowledge of the SQL Server fundamentals

PREREQUISITES FOR SETTING UP THE DEMO ENVIRONMENT:

A Windows 10 computer with at least 4GB of RAM and a modern CPU with SQL Server installed (Express Edition works fine as well)

Note: The use of a Virtual Machine is completely optional. You just need a Windows 10 computer with SQL Server, onto which, by following the courses demos, you will be installing Python with pyodbc and Visual Studio Code. Then, using this environment, you will be able to reproduce all demos.

THIS COURSE CONTAINS/OFFERS:

6+ hours of high-quality video lectures and guides

Step by step live demonstrations and guides that can help you get started with SQL Server database programming from within your Python programs

Downloadable source code examples

Downloadable resources with useful information and links

Useful quizzes for testing your knowledge on each section

A major practice test in the end of the course

Ability to ask the instructor questions via the Q&A section

Certificate on course completion

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Let’s Talk About Python on Windows

Lecture 3: Python Integrated Development Environments (IDEs)

Lecture 4: This Course’s Demo Environment

Lecture 5: Section Recap

Chapter 2: Basic Python Knowledge

Lecture 1: Section Overview

Lecture 2: Installing Python on Windows

Lecture 3: Installing and Setting up the IDE to be Used in the Demos – Visual Studio Code

Lecture 4: Writing, Compiling and Running Python Programs

Lecture 5: Basic Python Commands and Data Structures

Lecture 6: Section Recap

Chapter 3: Basic Interaction with SQL Server

Lecture 1: Section Overview

Lecture 2: About the pyodbc Module

Lecture 3: Setting up the Connection String

Lecture 4: Connecting to SQL Server

Lecture 5: Exception Handling

Lecture 6: Running a Simple SQL Server Query and Display the Results

Lecture 7: Section Recap

Chapter 4: Running SQL Server Queries from within a Python Program

Lecture 1: Section Overview

Lecture 2: Running SELECT T-SQL Statements

Lecture 3: Running INSERT T-SQL Statements

Lecture 4: Running UPDATE T-SQL Statements

Lecture 5: Running DELETE T-SQL Statements

Lecture 6: Running Other SQL Server T-SQL Statements

Lecture 7: Section Recap

Chapter 5: Working with SQL Server Stored Procedures

Lecture 1: Section Overview

Lecture 2: Let’s Create a SQL Server Stored Procedure from within a Python Program

Lecture 3: Let’s Execute the Stored Procedure and Get the Results

Lecture 4: Executing Stored Procedures that do not Return a Result

Lecture 5: Section Recap

Chapter 6: Working with SQL Server Functions

Lecture 1: Section Overview

Lecture 2: Let’s Create a SQL Server Function from within a Python Program

Lecture 3: Let’s Execute the Function and Get the Results

Lecture 4: Calling SQL Server System Functions

Lecture 5: Section Recap

Chapter 7: Advanced Topics (Updated)

Lecture 1: About Advanced Topics

Lecture 2: How to Import Data from a CSV File to SQL Server via a Python Program

Lecture 3: How to Convert a Python Script to a Windows Executable

Lecture 4: How to Create a Basic GUI Dialog in Python and Connect to SQL Server

Lecture 5: How to Run the SQL Server BULK INSERT Command from Within a Python Program

Lecture 6: How to Run Multiple .SQL Scripts from a Folder on SQL Server using Python and PS

Lecture 7: Mastering Python & SQL Server: Best Practices

Chapter 8: Special Database Development Topics (Updated)

Lecture 1: About Special Database Topics

Lecture 2: SQL Server Installation Best Practices

Lecture 3: Benefits of Primary Keys in Database Tables

Lecture 4: Benefits of Using Stored Procedures in Databases

Lecture 5: Useful T-SQL Scripts for SQL Development

Lecture 6: How to Find the Version of a SQL Server Instance

Lecture 7: What are T-SQL Snippets in SSMS?

Lecture 8: Operating Systems Supported by SQL Server

Lecture 9: How to Install SQL Server 2019 Express and the Latest SSMS Version

Chapter 9: Python and SQL Server Machine Learning Services (New)

Lecture 1: Overview

Lecture 2: What are SQL Server Machine Learning Services?

Lecture 3: How to Install SQL Server Machine Learning Services

Lecture 4: Python and R Packages Included in SQL Server Machine Learning Services

Lecture 5: Executing Python Scripts via SQL Server Machine Learning Services

Chapter 10: Putting it All Together

Lecture 1: What Have you Learned in this Course?

Chapter 11: Learning More

Lecture 1: Bonus Lecture

Instructors

Artemakis Artemiou
Award-Winning Database & AI Expert, Trainer, Author, Speaker

Rating Distribution

1 stars: 3 votes

2 stars: 2 votes

3 stars: 11 votes

4 stars: 54 votes

5 stars: 73 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!