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Taught by Meta Staff

Explore how to write database driven applications in Python by creating various types of clients that connect to MySQL databases using Python code and Python-related MySQL features and tools.

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Explore how to write database driven applications in Python by creating various types of clients that connect to MySQL databases using Python code and Python-related MySQL features and tools.

By the end of this course, you’ll be able to:

- Utilize Python code to create, populate and manipulate MySQL databases and tables

- Access advanced functionality in MySQL using custom built Python clients

- Develop working familiarity with advanced topics in MySQL

- Apply the principles of advanced MySQL topics to problem solving using Python

- Develop a working knowledge of the methods by which a MySQL database connects to the web via a Django API

- Create a useful Python application capable of administration of a MySQL database

You’ll gain experience with the following tools and software:

- Python code

- Python-related MySQL features and tools

- Django REST framework

- _meta API

To take this course, you must have completed the previous course Advanced MySQL topics. You must also be eager to continue your journey with coding.

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What's inside

Syllabus

Interacting with a MySQL database using Python
Learn to use Python code to create, populate and manipulate MySQL databases and tables.
Performing queries in MySQL using Python
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Access query functionality in MySQL using Python clients.
Advanced Database Clients
Explore advanced topics in MySQL and apply these principles to problem solving using Python.
Working with a Database Client
Apply the skills you have learned in this course to create a useful Python application capable of administering a MySQL database.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a strong foundation for beginners in working with MySQL database and Python programming
Develops professional skills in advanced MySQL topics and problem-solving using Python programming
Taught by Meta staff, who are recognized for their expertise in MySQL technology and Python programming
Covers unique perspectives and ideas that add color to other topics and subjects related to database management and Python programming
Course requires prior knowledge of advanced MySQL topics and eagerness to continue coding journey, which may pose a barrier for some learners

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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 Database Clients with these activities:
Review Python basics
Refresh your memory on key Python concepts to prepare for the advanced topics covered in this course.
Browse courses on Python Basics
Show steps
  • Review Python data types and their operations.
  • Practice basic Python syntax, including variables, loops, and conditional statements.
  • Set up your Python development environment.
Organize and review course materials
Consolidate and review all provided course materials, including lecture notes, assignments, and readings, to maximize retention.
Show steps
  • Gather all available course materials.
  • Create a system for organizing the materials (e.g., folders, notebooks).
  • Review the materials regularly to enhance understanding.
Solve Python coding challenges
Put your Python skills to the test by solving coding challenges on platforms like LeetCode or HackerRank.
Show steps
  • Identify a coding challenge platform that aligns with your skill level.
  • Start with easier challenges and gradually increase the difficulty.
  • Analyze the problem, design an algorithm, and implement your solution.
  • Review and debug your code to optimize it.
One other activity
Expand to see all activities and additional details
Show all four activities
Assist other students in the course
Offer support to fellow learners by answering questions, providing guidance, and sharing your knowledge.
Show steps
  • Identify opportunities to provide assistance to other students.
  • Prepare yourself by reviewing the course materials and resources.
  • Participate actively in discussion forums or study groups.
  • Offer help to students who are struggling or have questions.

Career center

Learners who complete Database Clients will develop knowledge and skills that may be useful to these careers:
Software Developer
As this course, _Database Clients_, teaches the use of Python code to connect to and connect with MySQL databases, one who wishes to become a Software Developer may find this course to be of use to them. In this career, one is responsible for designing, developing, testing, and maintaining software. The programming languages and tools that one must master depend on the specific systems and applications on which they work. However, courses in computer programming and software development, such as this one, provide a foundation for success in this career.
Database Administrator
This course may be beneficial for aspiring Database Administrators. These professionals are responsible for designing, implementing, and managing an organization's databases. The primary focus of their jobs is to ensure that the organization's data is accurate, accessible, and secure. Many of them are also involved in developing and maintaining database-related applications.
Data Analyst
Those who are pursuing careers as Data Analysts may also benefit from this course. Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use their findings to make recommendations to businesses on how to improve their operations or products.
Data Scientist
Those who are pursuing careers as Data Scientists may also benefit from this course. Data Scientists are responsible for developing and implementing statistical and machine learning models to solve business problems. They work with large datasets to identify trends and patterns, and they use their findings to make recommendations to businesses on how to improve their operations or products.
Machine Learning Engineer
Those who are pursuing careers as Machine Learning Engineers may also benefit from this course. Machine Learning Engineers are responsible for designing and implementing machine learning models to solve business problems. They work with large datasets to identify trends and patterns, and they use their findings to make recommendations to businesses on how to improve their operations or products.
Software Engineer
This course may be of benefit to Software Engineers. These professionals are responsible for designing, developing, testing, and maintaining software systems. They work with a variety of programming languages and tools, and they must have a strong understanding of computer science fundamentals. Courses such as this one, that focus on a particular programming language or software development tool, can be helpful for Software Engineers who want to expand their skillset.
Web Developer
For those who are looking to become Web Developers, this course can provide you with the necessary knowledge to build dynamic and interactive web applications. As a Web Developer, you will be responsible for designing, developing, testing, and maintaining websites and web applications, such as the ones you use everyday. The web applications that you build will run on any device that has a modern web browser.
Application Developer
Application Developers are responsible for designing, developing, testing, and maintaining software applications. The applications that they build can run on a variety of devices, including computers, mobile phones, and tablets. Courses such as this one that focus on a particular programming language or software development tool can help Application Developers expand their skillset.
Full-Stack Developer
Those who aspire to be Full Stack Developers may also find this course to be of benefit to them. These professionals are responsible for designing, developing, and maintaining both the front-end and back-end of web applications. The front-end is the part of the application that users interact with, while the back-end is the part that handles the logic and data processing. Courses such as this one can help Full Stack Developers expand their skillset and enhance their understanding of software development.
IT Consultant
IT Consultants provide advice and guidance to businesses on how to use technology to improve their operations. They work with businesses of all sizes, and they may specialize in a particular area of IT, such as data management or security. Many IT Consultants have a strong background in computer science, and they may hold certifications in specific software or technologies. Courses such as this one can help IT Consultants expand their knowledge and enhance their ability to provide valuable advice to their clients.
Database Designer
Database Designers are responsible for designing and managing an organization's databases. They work with business stakeholders to understand their data needs, and they design and implement database structures and systems to meet those needs. Database Designers must have a strong understanding of data management principles and practices, and they must be able to effectively communicate with people from all walks of life. Courses such as this one can help Database Designers develop the skills and knowledge they need to be successful.
Business Analyst
Business Analysts work with businesses to identify opportunities for improvement. They analyze business processes and data, and they develop recommendations for how to improve efficiency and effectiveness. Business Analysts may also work on projects to implement new systems or technologies. Courses such as this one can help Business Analysts develop the skills and knowledge they need to be successful.
Data Architect
Data Architects are responsible for designing and managing an organization's data architecture. They work with business stakeholders to understand their data needs, and they design and implement data structures and systems to meet those needs. Data Architects must have a strong understanding of data management principles and practices, and they must be able to effectively communicate with people from all walks of life. Courses such as this one can help Data Architects develop the skills and knowledge they need to be successful.
Systems Analyst
Systems Analysts work with businesses to design and implement new systems or technologies. They analyze business processes and data, and they develop recommendations for how to improve efficiency and effectiveness. Systems Analysts may also work on projects to implement new systems or technologies. Courses such as this one can help Systems Analysts develop the skills and knowledge they need to be successful.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with a variety of stakeholders, including clients, team members, and vendors. Project Managers must have a strong understanding of project management principles and practices, and they must be able to effectively communicate with people from all walks of life. Courses such as this one can help Project Managers develop the skills and knowledge they need to be successful.

Reading list

We've selected ten 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 Database Clients.
Provides a comprehensive guide to using Python and MySQL for database development and administration. It covers topics such as connecting to MySQL databases, creating and managing databases and tables, performing queries, and administering MySQL databases.
Comprehensive reference guide to MySQL. It covers all aspects of MySQL, from basic concepts to advanced topics such as replication, performance tuning, and security.
Practical guide to using MySQL. It covers topics such as connecting to MySQL databases, creating and managing databases and tables, performing queries, and administering MySQL databases.
Practical introduction to machine learning with Python. It covers a wide range of topics, including data preprocessing, feature engineering, and model evaluation.
Practical introduction to natural language processing with Python. It covers a wide range of topics, including text preprocessing, feature engineering, and model evaluation.
Practical introduction to data analytics with Python. It covers a wide range of topics, including data preprocessing, feature engineering, and model evaluation.

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