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Create a Boggle Word Solver using recursion in Python
Anusha Chheda
Anusha Chheda
In this 1-hour long project-based course, you will have created a Boggle Word Solver in Python by defining various functions that load a 4x4 game board based on input, recursively searches in all allowed directions for plausible words using Depth First Traversal, and then prints out the valid words based on length constraints and by cross-checking whether the word exists in the stored dictionary. You will also learn to store the dictionary in a trie data structure which makes for more efficient lookups.
Read more
In this 1-hour long project-based course, you will have created a Boggle Word Solver in Python by defining various functions that load a 4x4 game board based on input, recursively searches in all allowed directions for plausible words using Depth First Traversal, and then prints out the valid words based on length constraints and by cross-checking whether the word exists in the stored dictionary. You will also learn to store the dictionary in a trie data structure which makes for more efficient lookups.
Read more
In this 1-hour long project-based course, you will have created a Boggle Word Solver in Python by defining various functions that load a 4x4 game board based on input, recursively searches in all allowed directions for plausible words using Depth First Traversal, and then prints out the valid words based on length constraints and by cross-checking whether the word exists in the stored dictionary. You will also learn to store the dictionary in a trie data structure which makes for more efficient lookups.
This guided project is aimed at learners who are wanting to learn or practice recursion and graph traversal concepts in Python by developing a fun game. Understanding DFS and recursion is essential and will greatly expand your programming potential as they are used at the base of various algorithms. Implementing a prefix tree will also help you understand a new efficient data structure.
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/i5y3ud/create
What's inside
Syllabus
Project Overview
By the end of this project, you will have created a Boggle Word Solver in Python by defining various functions that load a 4x4 game board based on input, recursively searches in all allowed directions for plausible words using Depth First Traversal, and then prints out the valid words based on length constraints and by cross-checking whether the word exists in the stored dictionary. You will also learn to store the dictionary in a trie structure which makes for more efficient lookups.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches recursion and graph traversal concepts in Python, which are used at the base of various algorithms
Provides an opportunity to implement a prefix tree data structure, enhancing understanding of efficient lookups
Develops programming potential and expands problem-solving skills through the implementation of Depth First Search
Course duration is suitable for a quick project-based learning experience
Taught by Anusha Chheda, an experienced instructor in the field
Note: This course is currently optimized for learners based in North America
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Reviews summary
Intermediate python: boggle word solver
Learners say this intermediate Python course is well received with clear instructions, a good pace, and engaging assignments. However, several students mentioned that managing the workspace and screen can be difficult.
Good pace and fun project.
"Clear instructions, good pace, fun project"
Instructor was very good at explaining.
"This was a conceptually challenging course for me - I had to comment all the way through the code to document my understanding, but the instructor was very good at explaining as they went along."
Difficult to manage the screen.
"it can be improved, also it's a bit difficult to manage the screen in there and at-time the code visibility drops."
Activities
Coming soon
We're preparing activities for
Create a Boggle Word Solver using recursion in Python.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Create a Boggle Word Solver using recursion in Python will develop knowledge and skills
that may be useful to these careers:
Financial Analyst
Financial Analyst
A Financial Analyst uses financial data to make investment decisions. They work to evaluate the financial performance of companies and make recommendations to investors. This course will help you build a foundation in data structures and algorithms, which are essential skills for a Financial Analyst. You will also learn how to use recursion and graph traversal techniques, which are used in many financial analysis applications.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data. They work to make investment decisions and develop trading strategies. This course will help you build a foundation in data structures and algorithms, which are essential skills for a Quantitative Analyst. You will also learn how to use recursion and graph traversal techniques, which are used in many quantitative finance applications.
Actuary
Actuary
An Actuary uses mathematical and statistical models to assess risk. They work to develop insurance policies and pricing models. This course will help you build a foundation in data structures and algorithms, which are essential skills for an Actuary. You will also learn how to use recursion and graph traversal techniques, which are used in many actuarial applications.
Computer Scientist
Computer Scientist
A Computer Scientist designs and develops computer systems. They work to create efficient and reliable systems that meet the needs of users. This course will help you build a foundation in data structures and algorithms, which are essential skills for a Computer Scientist. You will also learn how to use recursion and graph traversal techniques, which are used in many computer science applications.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical models to solve business problems. They work to improve the efficiency and effectiveness of business operations. This course will help you build a foundation in data structures and algorithms, which are essential skills for an Operations Research Analyst. You will also learn how to use recursion and graph traversal techniques, which are used in many operations research applications.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data. They work to design and conduct statistical studies and develop statistical models. This course will help you build a foundation in data structures and algorithms, which are essential skills for a Statistician. You will also learn how to use recursion and graph traversal techniques, which are used in many statistical applications.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. They work to create efficient and reliable software that meets the needs of users. This course will help you build a foundation in data structures and algorithms, which are essential skills for a Software Engineer. You will also learn how to use recursion and graph traversal techniques, which are used in many software engineering applications.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data. They work to identify trends and patterns in data and communicate their findings to decision-makers. This course will help you build a foundation in data structures and algorithms, which are essential skills for a Data Analyst. You will also learn how to use recursion and graph traversal techniques, which are used in many data analysis applications.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs and builds machine learning models. They work to develop models that can learn from data and make predictions. This course will help you build a foundation in data structures and algorithms, which are essential skills for a Machine Learning Engineer. You will also learn how to use recursion and graph traversal techniques, which are used in many machine learning applications.
Data Scientist
Data Scientist
A Data Scientist designs and uses mathematical models to solve business problems. They work to extract insights from data and build predictive models. This course will help you build a foundation in data structures and algorithms, which are essential skills for a Data Scientist. You will also learn how to use recursion and graph traversal techniques, which are used in many data science applications.
Systems Analyst
Systems Analyst
A Systems Analyst analyzes and designs business systems. They work to improve the efficiency and effectiveness of business processes. This course may help you build a foundation in data structures and algorithms, which are used in many systems analysis applications.
Business Analyst
Business Analyst
A Business Analyst analyzes and designs business processes. They work to improve the efficiency and effectiveness of business operations. This course may help you build a foundation in data structures and algorithms, which are used in many business analysis applications.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They work to ensure that databases are efficient and reliable. This course may help you build a foundation in data structures and algorithms, which are used in many database administration applications.
Web Developer
Web Developer
A Web Developer designs and develops websites. They work to create websites that are user-friendly and efficient. This course may help you build a foundation in data structures and algorithms, which are used in many web development applications.
Project Manager
Project Manager
A Project Manager plans and executes projects. They work to ensure that projects are completed on time, within budget, and to the required quality. This course may help you build a foundation in data structures and algorithms, which are used in many project management applications.
For more career information including salaries, visit:
OpenCourser.com/course/i5y3ud/create
Reading list
We've selected nine 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 Boggle Word Solver using recursion in Python.
This classic textbook provides a comprehensive and rigorous treatment of algorithms, covering a wide range of topics. It valuable reference for advanced students and researchers who seek a deep understanding of algorithms.
Save
Provides a comprehensive introduction to generative adversarial networks (GANs), covering both theoretical concepts and practical applications. It valuable resource for students, researchers, and practitioners interested in this field.
Provides a comprehensive introduction to reinforcement learning, covering both theoretical foundations and practical applications. It valuable resource for students, researchers, and professionals interested in this field.
This textbook provides a comprehensive overview of algorithms, covering both foundational concepts and advanced topics. It valuable resource for students and practitioners alike who wish to deepen their understanding of computer algorithms.
Offers a practical approach to machine learning using popular Python libraries like Scikit-Learn, Keras, and TensorFlow. It provides hands-on examples and exercises, making it suitable for beginners and practitioners seeking to apply machine learning techniques to real-world problems.
This textbook focuses on data structures and algorithms in Python, providing a solid foundation for students and developers. It covers essential topics such as sorting, searching, and graph algorithms, with an emphasis on practical implementation.
Save
Offers a comprehensive overview of computer vision algorithms and their applications in various fields. It covers topics like image processing, feature extraction, and object recognition, making it suitable for students and researchers in computer vision.
Provides a comprehensive overview of natural language processing (NLP) techniques, using Python as the programming language. It covers topics such as text classification, sentiment analysis, and machine translation, making it suitable for beginners and experienced NLP practitioners alike.
Save
Offers a comprehensive guide to deep learning, covering topics like neural networks, convolutional neural networks, and recurrent neural networks. It is an excellent resource for those interested in exploring the fundamentals and applications of deep learning in various domains.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/i5y3ud/create
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Anusha Chheda
Language
English
Good to know
Teaches recursion and graph traversal concepts in Python, which are used at the base of various algorithms
Provides an opportunity to implement a prefix tree data structure, enhancing understanding of efficient lookups
Develops programming potential and expands problem-solving skills through the implementation of Depth First Search
Course duration is suitable for a quick project-based learning experience
Taught by Anusha Chheda, an experienced instructor in the field
Note: This course is currently optimized for learners based in North America
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