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Xavier Morera
Working with databases is a huge part of any data professional's tool belt. In this Playbook we will utilize SQLAlchemy to learn how to use SQL within Python and leverage the object-relational mapper capabilities of SQLAlchemy.
Read more
Working with databases is a huge part of any data professional's tool belt. In this Playbook we will utilize SQLAlchemy to learn how to use SQL within Python and leverage the object-relational mapper capabilities of SQLAlchemy.
Read more
Working with databases is a huge part of any data professional's tool belt. In this Playbook we will utilize SQLAlchemy to learn how to use SQL within Python and leverage the object-relational mapper capabilities of SQLAlchemy.
Databases are an integral part of data science, and every programmer that interacts with data needs to be able to work with a database. In this course, Understanding Databases with SQLAlchemy 1: Python Data Playbook, you will learn foundational knowledge to work with databases using SQLAlchemy. First, you will see how to perform queries. Next, you will discover how to create databases and tables and populate them with data. Finally, you will explore how to manipulate the data you inserted and queried. When you are finished with this course, you will have the skills and knowledge of interacting with databases needed to successfully work with your database using Python with SQLAlchemy.
Register for this course and see more details by visiting:
OpenCourser.com/course/5oiauw/understanding
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What's inside
Syllabus
Course Overview
Up and Running with SQLAlchemy
Querying with SQLAlchemy
Creating Your Database
Read more
Syllabus
Course Overview
Up and Running with SQLAlchemy
Querying with SQLAlchemy
Creating Your Database
Read more
Manipulating Your Database
Final Takeaway
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches foundational principles for interacting with databases using the SQLAlchemy for Python tool
Designed for learners with basic Python programming knowledge and an interest in working with databases
Introduces the basics of querying, creating, and manipulating databases
Provides hands-on practice with SQLAlchemy, a popular Python library for database interaction
Taught by instructors who are experienced in database management and Python programming
Save this course
Save Understanding Databases with SQLAlchemy 1: Python Data Playbook to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Understanding Databases with SQLAlchemy 1: Python Data Playbook with these
activities:
Review Python Basics
Show steps
Strengthen your foundation in Python to better grasp the concepts covered in the course.
Browse courses on
Python Programming
Show steps
-
Review basic Python syntax, data structures, and control flow.
-
Practice writing simple Python scripts to manipulate data.
Revisit SQL Concepts
Show steps
Refresh your memory on essential SQL concepts to enhance your understanding of SQLAlchemy.
Browse courses on
SQL Queries
Show steps
-
Review the basics of SQL, including data types, tables, and relationships.
-
Practice writing simple SQL queries to retrieve and manipulate data.
Practice Python Queries
Show steps
Reinforce your understanding of SQL queries by practicing writing and executing queries using SQLAlchemy.
Browse courses on
Database Queries
Show steps
-
Set up a Python environment with SQLAlchemy installed.
-
Create a database and populate it with sample data.
-
Write simple queries to retrieve data from the database using SQLAlchemy.
-
Practice using various query methods, such as filter(), order_by(), and group_by().
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow Advanced SQLAlchemy Tutorials
Show steps
Expand your knowledge of SQLAlchemy by following in-depth tutorials that cover advanced concepts and techniques.
Browse courses on
Object-Relational Mapping
Show steps
-
Search for reputable tutorials on advanced SQLAlchemy topics.
-
Follow the tutorials step-by-step and experiment with the code examples.
-
Apply the techniques learned from the tutorials to your own projects.
Participate in a SQL Code Challenge
Show steps
Test your SQLAlchemy skills and learn from others by participating in a coding challenge.
Browse courses on
Problem Solving
Show steps
-
Find a reputable SQL code challenge platform or competition.
-
Solve the challenges using SQLAlchemy and other relevant technologies.
-
Analyze the solutions of other participants to learn new techniques.
Build a Database-Driven Web Application
Show steps
Solidify your ability to integrate databases into web applications by building your own using SQLAlchemy.
Browse courses on
Database Applications
Show steps
-
Design the database schema for your application.
-
Create the web application framework and integrate SQLAlchemy.
-
Implement CRUD (Create, Read, Update, Delete) operations using SQLAlchemy.
-
Handle data validation and error handling in your application.
Contribute to an Open-Source SQLAlchemy Project
Show steps
Gain practical experience and contribute to the SQLAlchemy community by contributing to an open-source project.
Browse courses on
Software Development
Show steps
-
Identify an open-source SQLAlchemy project that interests you.
-
Read the project documentation and familiarize yourself with the codebase.
-
Make code contributions, such as bug fixes or feature enhancements.
-
Collaborate with other contributors and participate in project discussions.
Mentor Junior Developers
Show steps
Deepen your understanding of SQLAlchemy by sharing your knowledge with others.
Browse courses on
Mentoring
Show steps
-
Identify junior developers who are interested in learning SQLAlchemy.
-
Provide guidance and mentorship, sharing your knowledge and experience.
-
Review their code and offer constructive feedback.
Review Python Basics
Show steps
Strengthen your foundation in Python to better grasp the concepts covered in the course.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Review basic Python syntax, data structures, and control flow.
- Practice writing simple Python scripts to manipulate data.
Revisit SQL Concepts
Show steps
Refresh your memory on essential SQL concepts to enhance your understanding of SQLAlchemy.
Browse courses on
SQL Queries
Show steps
Show steps
Show steps
- Review the basics of SQL, including data types, tables, and relationships.
- Practice writing simple SQL queries to retrieve and manipulate data.
Practice Python Queries
Show steps
Reinforce your understanding of SQL queries by practicing writing and executing queries using SQLAlchemy.
Browse courses on
Database Queries
Show steps
Show steps
Show steps
- Set up a Python environment with SQLAlchemy installed.
- Create a database and populate it with sample data.
- Write simple queries to retrieve data from the database using SQLAlchemy.
- Practice using various query methods, such as filter(), order_by(), and group_by().
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow Advanced SQLAlchemy Tutorials
Show steps
Expand your knowledge of SQLAlchemy by following in-depth tutorials that cover advanced concepts and techniques.
Browse courses on
Object-Relational Mapping
Show steps
Show steps
Show steps
- Search for reputable tutorials on advanced SQLAlchemy topics.
- Follow the tutorials step-by-step and experiment with the code examples.
- Apply the techniques learned from the tutorials to your own projects.
Participate in a SQL Code Challenge
Show steps
Test your SQLAlchemy skills and learn from others by participating in a coding challenge.
Browse courses on
Problem Solving
Show steps
Show steps
Show steps
- Find a reputable SQL code challenge platform or competition.
- Solve the challenges using SQLAlchemy and other relevant technologies.
- Analyze the solutions of other participants to learn new techniques.
Build a Database-Driven Web Application
Show steps
Solidify your ability to integrate databases into web applications by building your own using SQLAlchemy.
Browse courses on
Database Applications
Show steps
Show steps
Show steps
- Design the database schema for your application.
- Create the web application framework and integrate SQLAlchemy.
- Implement CRUD (Create, Read, Update, Delete) operations using SQLAlchemy.
- Handle data validation and error handling in your application.
Contribute to an Open-Source SQLAlchemy Project
Show steps
Gain practical experience and contribute to the SQLAlchemy community by contributing to an open-source project.
Browse courses on
Software Development
Show steps
Show steps
Show steps
- Identify an open-source SQLAlchemy project that interests you.
- Read the project documentation and familiarize yourself with the codebase.
- Make code contributions, such as bug fixes or feature enhancements.
- Collaborate with other contributors and participate in project discussions.
Mentor Junior Developers
Show steps
Deepen your understanding of SQLAlchemy by sharing your knowledge with others.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify junior developers who are interested in learning SQLAlchemy.
- Provide guidance and mentorship, sharing your knowledge and experience.
- Review their code and offer constructive feedback.
Career center
Learners who complete Understanding Databases with SQLAlchemy 1: Python Data Playbook will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts gather, analyze, interpret, and present data. Understanding Databases with SQLAlchemy 1: Python Data Playbook can help you gain the skills and knowledge necessary to be successful in this field. This course provides instruction on querying and manipulating databases, which are essential tasks for Data Analysts. Coursework that emphasizes SQL within Python can also be advantageous for Data Analysts as Python is a programming language commonly used by professionals in the field.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. The ability to interact with databases is a key skill for Data Scientists, and Understanding Databases with SQLAlchemy 1: Python Data Playbook is an excellent resource for gaining this ability. Coursework about SQL within Python is also relevant as Python is commonly used by professionals in the field.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain software systems. Understanding databases is essential for developing robust and efficient software systems, and Understanding Databases with SQLAlchemy 1: Python Data Playbook can aid in acquiring this understanding.
Database Administrator
Database Administrator
Database Administrators maintain and optimize databases. Understanding Databases with SQLAlchemy 1: Python Data Playbook provides a solid foundation for this role as it covers topics such as creating and manipulating databases. The course's focus on SQL within Python is particularly relevant as Python is increasingly being used for database management.
Data Engineer
Data Engineer
Data Engineers design, build, and manage data pipelines. Understanding databases is a crucial skill for Data Engineers, and Understanding Databases with SQLAlchemy 1: Python Data Playbook can help you acquire this skill.
Business Analyst
Business Analyst
Business Analysts analyze business processes and systems and use data to identify opportunities for improvement. Understanding Databases with SQLAlchemy 1: Python Data Playbook can be useful for Business Analysts as it provides a foundation for querying and manipulating databases. Coursework on SQL within Python may also be advantageous in this field.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. Understanding Databases with SQLAlchemy 1: Python Data Playbook may be helpful for Statisticians as it can help build a foundation for querying and manipulating databases. Coursework on SQL within Python may also be useful as Python is commonly used by professionals in the field.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve decision-making in organizations. Understanding Databases with SQLAlchemy 1: Python Data Playbook can be useful for Operations Research Analysts as it helps develop a foundation for querying and manipulating databases. Coursework on SQL within Python may also be relevant as Python is used in the field.
Computer Scientist
Computer Scientist
Computer Scientists research, design, and develop software systems and applications. Understanding Databases with SQLAlchemy 1: Python Data Playbook may be useful for Computer Scientists as it helps build a foundation for interacting with databases. Coursework on SQL within Python may also be beneficial as Python is used in the field.
Information Security Analyst
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's information systems. Understanding Databases with SQLAlchemy 1: Python Data Playbook may be useful for Information Security Analysts as it provides a basis for understanding how databases work and how to secure them. Coursework on SQL within Python may also be relevant as Python is used in the field.
Computer Programmer
Computer Programmer
Computer Programmers write, test, and maintain software programs and applications. Understanding Databases with SQLAlchemy 1: Python Data Playbook may be useful for Computer Programmers as it helps build a foundation for interacting with databases. Coursework on SQL within Python may also be relevant as Python is commonly used by professionals in the field.
Data Architect
Data Architect
Data Architects design and manage data systems and infrastructure. Understanding Databases with SQLAlchemy 1: Python Data Playbook may be useful for Data Architects as it can help build a foundation for querying and manipulating databases. Coursework on SQL within Python may also be relevant in this field.
Software Tester
Software Tester
Software Testers test software programs and applications to identify and report on potential problems. Understanding Databases with SQLAlchemy 1: Python Data Playbook may be useful for Software Testers as it helps build a foundation for understanding how databases work and interact with software systems.
Network Administrator
Network Administrator
Network Administrators install, maintain, and troubleshoot computer networks. Understanding Databases with SQLAlchemy 1: Python Data Playbook may be useful for Network Administrators as it helps develop a basis for understanding databases. Coursework on SQL within Python may also be beneficial as Python is found in networking applications.
Project Manager
Project Manager
Project Managers plan, organize, and oversee projects. Understanding Databases with SQLAlchemy 1: Python Data Playbook may be useful for Project Managers as it can aid in understanding how data is used and managed in projects. Coursework on SQL within Python may also be helpful as Python is used in project management applications.
For more career information including salaries, visit:
OpenCourser.com/course/5oiauw/understanding
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Understanding Databases with SQLAlchemy 1: Python Data Playbook.
This comprehensive guide covers essential data science concepts and techniques in Python, including database management with SQLAlchemy. It's a valuable resource for learners who want to broaden their knowledge beyond the course's scope.
Covers performance optimization techniques for Python programs, including strategies for efficient database interactions. It can be helpful for learners who want to optimize their SQLAlchemy code.
This comprehensive textbook provides an in-depth understanding of database systems, including concepts relevant to SQLAlchemy. It's a great resource for learners who want a deeper theoretical background.
This beginner-friendly book introduces SQL concepts and provides a good foundation for understanding SQLAlchemy's SQL operations.
Save
This online tutorial provides a hands-on introduction to SQLAlchemy, covering basic to advanced concepts. It's a good resource for learners who prefer an interactive learning experience.
Focuses on rapid development using SQLAlchemy, providing practical tips and code examples. It's a good resource for learners who want to quickly build database applications.
Focuses on data analysis using Python, but it also covers basic database concepts that are relevant to SQLAlchemy.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5oiauw/understanding
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Time
83 hours
Level
Introductory
Via
Pluralsight
Instructor
Xavier Morera
Language
English
This course belongs to a
collection
called
Python for Data Analysts. It's comprised of 11 courses:
- Building Your First Python Analytics Solution
- Create and Share Analytics with Jupyter Notebooks
- Python for Data Analysts
- Programming Python Using an IDE
- Leveraging Online Resources for Python Analytics
- Importing Data: Python Data Playbook
- Cleaning Data: Python Data Playbook
- Pygal 2: Python Data Playbook
- Understanding Databases with SQLAlchemy 1: Python Data Playbook (viewing)
- Web Scraping: Python Data Playbook
- Data Wrangling with Python 3
Good to know
Teaches foundational principles for interacting with databases using the SQLAlchemy for Python tool
Designed for learners with basic Python programming knowledge and an interest in working with databases
Introduces the basics of querying, creating, and manipulating databases
Provides hands-on practice with SQLAlchemy, a popular Python library for database interaction
Taught by instructors who are experienced in database management and Python programming
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