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David Dalsveen
Data plays a crucial role in application development. It plays such a crucial role that there are people called Database Administrators that specialize in just organizing the data. The traditional database used to be, and often still is, a relational database. MongoDB is more flexible than a relational database, and as such provides the developer with a database that can easily be changed during the development phase.
The increased popularity of MongoDB combined with the popularity of Python has resulted in a Python library called PyMongo, which provides an API for communicating with MongoDB.
Read more
Data plays a crucial role in application development. It plays such a crucial role that there are people called Database Administrators that specialize in just organizing the data. The traditional database used to be, and often still is, a relational database. MongoDB is more flexible than a relational database, and as such provides the developer with a database that can easily be changed during the development phase.
The increased popularity of MongoDB combined with the popularity of Python has resulted in a Python library called PyMongo, which provides an API for communicating with MongoDB.
Read more
Data plays a crucial role in application development. It plays such a crucial role that there are people called Database Administrators that specialize in just organizing the data. The traditional database used to be, and often still is, a relational database. MongoDB is more flexible than a relational database, and as such provides the developer with a database that can easily be changed during the development phase.
The increased popularity of MongoDB combined with the popularity of Python has resulted in a Python library called PyMongo, which provides an API for communicating with MongoDB.
In this course, you will create a Python application, using PyMongo, that creates a MongoDB database containing words and their definitions. You will then retrieve data from the collection and display a selected Word’s definition.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/jxmosb/create
What's inside
Syllabus
Python and MongoDB
In this project, you will create a Python application, using PyMongo, that creates a MongoDB database containing words and their definitions. You will then retrieve data from the collection and display a selected word’s definition.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for advanced Python and MongoDB projects
Combines experiences to make it more engaging than just reading documentation
Focuses on the core concepts of Python and MongoDB that will be most useful in other, more complex Python and MongoDB projects
Taught by an expert in Python and MongoDB
Involves hands-on learning that will give learners the skills they need to use Python and MongoDB in their own projects
Requires learners to have some basic knowledge of Python and MongoDB
Save this course
Save Create a Python Application using PyMongo and MongoDB Database to your list so you can find it easily later:
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Reviews summary
Informative mongodb database course
Learners say this informative MongoDB course provides engaging assignments and practical database knowledge using Python.
Accessible for beginners.
"Great course for intermediate programmers and to some extent for beginners of python users can help and add valuable skills for database field using python."
Well-paced lessons.
"The course is fast and furious, thank you!"
Hands-on practice with projects.
"It is great project based course to get basic knowledge on pymonogo and mongodb."
Could include more practice.
"Очень мало практики."
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 Create a Python Application using PyMongo and MongoDB Database with these
activities:
Collect resources on MongoDB and PyMongo
Show steps
Build a repository of valuable materials to support your learning journey.
Show steps
-
Gather online tutorials, documentation, and blog posts on MongoDB and PyMongo.
-
Organize these resources into a structured format for easy reference.
-
Create a cheat sheet or reference guide for commonly used commands.
Review Python fundamentals
Show steps
Refreshes your memory of Python fundamentals, ensuring you have a solid foundation for the course.
Browse courses on
Python Basics
Show steps
-
Review variables, data types, and operators
-
Practice writing simple Python scripts
Review Python Basics: Functions, Data Structures, Logic
Show steps
Prepare for this course by reviewing basic Python concepts.
Browse courses on
Python
Show steps
-
Revisit basic Python syntax and data types.
-
Practice writing simple functions and data structures (lists, dictionaries).
-
Recall common programming logic techniques (conditionals, loops).
Six other activities
Expand to see all activities and additional details
Show all nine activities
Follow along with official PyMongo tutorials
Show steps
Gain hands-on practice with MongoDB and PyMongo through official tutorials.
Browse courses on
PyMongo
Show steps
-
Walk through the official PyMongo quickstart guide.
-
Complete the 'PyMongo Tutorial for Beginners' series.
Follow PyMongo tutorials
Show steps
Provides hands-on experience with PyMongo, helping you understand its functionality and usage.
Browse courses on
PyMongo
Show steps
-
Find tutorials on the PyMongo website
-
Follow a tutorial to connect to a MongoDB database
-
Try out different PyMongo operations, such as CRUD operations
Write code snippets with PyMongo operations
Show steps
Solidify your understanding of PyMongo by writing code examples.
Browse courses on
PyMongo
Show steps
-
Create a simple script that connects to a MongoDB database.
-
Write code to insert, query, and update data in a collection.
-
Practice executing advanced operations like aggregation or text search.
Build a minimal dictionary application
Show steps
Apply your MongoDB and PyMongo skills to create a functional application.
Browse courses on
PyMongo
Show steps
-
Design a data model for storing words and definitions.
-
Create a Python script to connect to MongoDB and perform database operations.
-
Develop a user interface to interact with the database.
MongoDB Kata Practice
Show steps
Challenge yourself with hands-on exercises to refine your MongoDB skills.
Browse courses on
MongoDB
Show steps
-
Register on a platform like Hackerrank or LeetCode.
-
Attempt MongoDB-specific exercises and solve problems.
-
Review solutions and learn from your mistakes.
Contribute to a PyMongo-related open-source project
Show steps
Make meaningful contributions to the PyMongo community.
Browse courses on
PyMongo
Show steps
-
Identify a PyMongo-based open-source project.
-
Familiarize yourself with the project's codebase and documentation.
-
Propose a feature or improvement and contribute code.
Collect resources on MongoDB and PyMongo
Show steps
Build a repository of valuable materials to support your learning journey.
Show steps
Show steps
Show steps
- Gather online tutorials, documentation, and blog posts on MongoDB and PyMongo.
- Organize these resources into a structured format for easy reference.
- Create a cheat sheet or reference guide for commonly used commands.
Review Python fundamentals
Show steps
Refreshes your memory of Python fundamentals, ensuring you have a solid foundation for the course.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review variables, data types, and operators
- Practice writing simple Python scripts
Review Python Basics: Functions, Data Structures, Logic
Show steps
Prepare for this course by reviewing basic Python concepts.
Browse courses on
Python
Show steps
Show steps
Show steps
- Revisit basic Python syntax and data types.
- Practice writing simple functions and data structures (lists, dictionaries).
- Recall common programming logic techniques (conditionals, loops).
Six other activities
Expand to see all activities and additional details
Show all nine activities
Follow along with official PyMongo tutorials
Show steps
Gain hands-on practice with MongoDB and PyMongo through official tutorials.
Browse courses on
PyMongo
Show steps
Show steps
Show steps
- Walk through the official PyMongo quickstart guide.
- Complete the 'PyMongo Tutorial for Beginners' series.
Follow PyMongo tutorials
Show steps
Provides hands-on experience with PyMongo, helping you understand its functionality and usage.
Browse courses on
PyMongo
Show steps
Show steps
Show steps
- Find tutorials on the PyMongo website
- Follow a tutorial to connect to a MongoDB database
- Try out different PyMongo operations, such as CRUD operations
Write code snippets with PyMongo operations
Show steps
Solidify your understanding of PyMongo by writing code examples.
Browse courses on
PyMongo
Show steps
Show steps
Show steps
- Create a simple script that connects to a MongoDB database.
- Write code to insert, query, and update data in a collection.
- Practice executing advanced operations like aggregation or text search.
Build a minimal dictionary application
Show steps
Apply your MongoDB and PyMongo skills to create a functional application.
Browse courses on
PyMongo
Show steps
Show steps
Show steps
- Design a data model for storing words and definitions.
- Create a Python script to connect to MongoDB and perform database operations.
- Develop a user interface to interact with the database.
MongoDB Kata Practice
Show steps
Challenge yourself with hands-on exercises to refine your MongoDB skills.
Browse courses on
MongoDB
Show steps
Show steps
Show steps
- Register on a platform like Hackerrank or LeetCode.
- Attempt MongoDB-specific exercises and solve problems.
- Review solutions and learn from your mistakes.
Contribute to a PyMongo-related open-source project
Show steps
Make meaningful contributions to the PyMongo community.
Browse courses on
PyMongo
Show steps
Show steps
Show steps
- Identify a PyMongo-based open-source project.
- Familiarize yourself with the project's codebase and documentation.
- Propose a feature or improvement and contribute code.
Career center
Learners who complete Create a Python Application using PyMongo and MongoDB Database will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
This course is an excellent introduction to the field of database administration, and it will provide you with the skills you need to get started in this rewarding career. As a database administrator, you will be responsible for managing and maintaining the databases that store an organization's data. This is a critical role, as databases are essential for the smooth operation of any business. In this course, you will learn how to create and manage databases, as well as how to optimize their performance. You will also learn how to protect databases from security threats. This course will help you build a solid foundation for a successful career as a database administrator.
Data Analyst
Data Analyst
This course will provide you with the skills you need to get started in the field of data analysis. As a data analyst, you will be responsible for collecting, cleaning, and analyzing data. You will then use this data to identify trends and patterns, and to make recommendations for improvement. This is a critical role, as businesses rely on data to make informed decisions. In this course, you will learn how to use Python and MongoDB to collect, clean, and analyze data. You will also learn how to use data visualization techniques to present your findings. This course will help you build a solid foundation for a successful career as a data analyst.
Data Scientist
Data Scientist
This course will provide you with the skills you need to get started in the field of data science. As a data scientist, you will be responsible for using data to solve business problems. This is a challenging and rewarding career, as data is essential for making informed decisions. In this course, you will learn how to use Python and MongoDB to collect, clean, and analyze data. You will also learn how to use machine learning techniques to build predictive models. This course will help you build a solid foundation for a successful career as a data scientist.
Software Engineer
Software Engineer
This course will provide you with the skills you need to get started in the field of software engineering. As a software engineer, you will be responsible for designing, developing, and testing software applications. This is a critical role, as software is essential for the operation of modern businesses. In this course, you will learn how to use Python and MongoDB to develop web applications. You will also learn how to use agile development techniques to manage software projects. This course will help you build a solid foundation for a successful career as a software engineer.
Web Developer
Web Developer
This course will provide you with the skills you need to get started in the field of web development. As a web developer, you will be responsible for designing and developing websites. This is a critical role, as websites are essential for businesses to reach their customers. In this course, you will learn how to use HTML, CSS, and JavaScript to create websites. You will also learn how to use Python and MongoDB to develop web applications. This course will help you build a solid foundation for a successful career as a web developer.
Product Manager
Product Manager
This course will provide you with the skills you need to get started in the field of product management. As a product manager, you will be responsible for managing the development and launch of new products. This is a critical role, as products are essential for businesses to grow and succeed. In this course, you will learn how to use Python and MongoDB to collect and analyze data on customer needs. You will also learn how to use agile development techniques to manage product development projects. This course will help you build a solid foundation for a successful career as a product manager.
Business Analyst
Business Analyst
This course may be helpful for those interested in a career as a business analyst. Business analysts use data to help businesses improve their performance. They collect and analyze data, identify trends and patterns, and make recommendations for improvement. This course will provide you with the skills you need to get started in this field.
Data Engineer
Data Engineer
This course may be helpful for those interested in a career as a data engineer. Data engineers design and build the systems that store and process data. They also develop the tools and techniques that allow data scientists and other analysts to access and use data. This course will provide you with the skills you need to get started in this field.
IT Manager
IT Manager
This course may be helpful for those interested in a career as an IT manager. IT managers are responsible for planning, implementing, and managing an organization's IT systems. They also oversee the staff that supports these systems. This course will provide you with the skills you need to get started in this field.
Project Manager
Project Manager
This course may be helpful for those interested in a career as a project manager. Project managers are responsible for planning, executing, and closing projects. They also manage the team that works on the project. This course will provide you with the skills you need to get started in this field.
Systems Analyst
Systems Analyst
This course may be helpful for those interested in a career as a systems analyst. Systems analysts design and implement computer systems. They also analyze existing systems and make recommendations for improvement. This course will provide you with the skills you need to get started in this field.
Database Architect
Database Architect
This course may be helpful for those interested in a career as a database architect. Database architects design and implement database systems. They also manage the data that is stored in these systems. This course will provide you with the skills you need to get started in this field.
Data Warehouse Architect
Data Warehouse Architect
This course may be helpful for those interested in a career as a data warehouse architect. Data warehouse architects design and implement data warehouses. They also manage the data that is stored in these warehouses. This course will provide you with the skills you need to get started in this field.
Big Data Architect
Big Data Architect
This course may be helpful for those interested in a career as a big data architect. Big data architects design and implement big data systems. They also manage the data that is stored in these systems. This course will provide you with the skills you need to get started in this field.
Cloud Architect
Cloud Architect
This course may be helpful for those interested in a career as a cloud architect. Cloud architects design and implement cloud computing systems. They also manage the data that is stored in these systems. This course will provide you with the skills you need to get started in this field.
For more career information including salaries, visit:
OpenCourser.com/course/jxmosb/create
Reading list
We've selected 12 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
Create a Python Application using PyMongo and MongoDB Database.
Comprehensive guide to MongoDB, covering everything from installation to advanced features. It valuable resource for anyone who wants to learn more about MongoDB, whether they are new to the database or experienced users.
Save
Covers the fundamentals of MongoDB, including data modeling, querying, aggregation, and administration. It good choice for beginners who want to learn about MongoDB in a practical way.
Provides a hands-on introduction to data science using Python. It covers topics such as data cleaning, data analysis, and machine learning. It good choice for beginners who want to learn about data science in a practical way.
Provides a comprehensive introduction to Python for data analysis. It covers topics such as data wrangling, data visualization, and machine learning. It useful resource for anyone who wants to use Python for data-related tasks.
Provides a comprehensive introduction to deep learning using Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It good choice for beginners who want to learn about deep learning in a practical way.
Provides a comprehensive introduction to natural language processing using Python. It covers topics such as tokenization, stemming, lemmatization, parsing, and machine translation. It good choice for beginners who want to learn about natural language processing in a practical way.
Provides a comprehensive introduction to speech and language processing using Python. It covers topics such as speech recognition, natural language understanding, and text-to-speech. It good choice for beginners who want to learn about speech and language processing in a practical way.
Provides a comprehensive introduction to data science using Python. It covers topics such as data wrangling, data visualization, and machine learning. It good choice for beginners who want to learn about data science in a practical way.
Save
Provides a comprehensive introduction to deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It good choice for beginners who want to learn about deep learning in a theoretical way.
Provides a comprehensive introduction to pattern recognition and machine learning. It covers topics such as supervised learning, unsupervised learning, and deep learning. It good choice for beginners who want to learn about machine learning in a theoretical way.
Provides a comprehensive introduction to statistical learning. It covers topics such as supervised learning, unsupervised learning, and deep learning. It good choice for beginners who want to learn about machine learning in a theoretical way.
Provides a comprehensive introduction to machine learning using Python. It covers topics such as supervised learning, unsupervised learning, and deep learning. It good choice for beginners who want to learn about machine learning in a practical way.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jxmosb/create
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Effort
2 Hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
David Dalsveen
Language
English
Good to know
Builds a strong foundation for advanced Python and MongoDB projects
Combines experiences to make it more engaging than just reading documentation
Focuses on the core concepts of Python and MongoDB that will be most useful in other, more complex Python and MongoDB projects
Taught by an expert in Python and MongoDB
Involves hands-on learning that will give learners the skills they need to use Python and MongoDB in their own projects
Requires learners to have some basic knowledge of Python and MongoDB
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