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Core Python

Hashing and More Collections

Jon Flanders

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Hashing Collections Python __hash__ __eq__

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Builds a strong foundation for those new to Python collections and data structures

Develops professional skills or deep expertise in creating and utilizing Python's collection types

Taught by Jon Flanders, who is an experienced instructor in this field

Examines Python's collections types, which are useful in industry and academics

Teaches essential skills for writing effective Python code

Requires students to come in with some programming experience, which may be a barrier to entry for some

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Learners who complete Core Python: Hashing and More Collections will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They use a variety of tools and techniques, including Python, to build and maintain models that can solve complex problems. This course can help Machine Learning Engineers by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Machine Learning Engineers write more efficient and effective code when working with data and building machine learning models.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. They work in a variety of industries, including finance, insurance, and consulting. This course can benefit Quantitative Analysts by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Quantitative Analysts write more efficient and effective code when working with data and building models.

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Data Scientist

Data Scientists are responsible for the collection, analysis, and interpretation of data to help organizations make decisions. They use a variety of tools and techniques, including Python, to extract insights from data. This course can benefit Data Scientists by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Data Scientists write more efficient and effective code when working with data.

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Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure that stores and processes data. This includes designing and implementing data pipelines, data warehouses, and data lakes. They use a variety of tools and technologies, including Python, to automate data processing tasks and ensure that data is available to users in a timely and reliable manner. This course can benefit Data Engineers by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Data Engineers write more efficient and effective code when working with data.

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Technical Lead

Technical Leads lead teams of developers and engineers in the development and implementation of software products. This course can benefit Technical Leads by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Technical Leads make better decisions about the design and implementation of software products.

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Data Analyst

Data Analysts collect, analyze, interpret, and present data to guide decision-making and provide insights for organizations. They help businesses understand customer behavior, measure the effectiveness of marketing campaigns, and identify trends to make better decisions. Data Analysts can also use Python to manipulate and analyze data, so this course can help them expand their knowledge of Python's collection types, including how to make their own types more useful by implementing __hash__ and __eq__. These skills can help Data Analysts write more effective Python code when working with data.

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Software Engineer

Software Engineers apply computer science principles to design, develop, and maintain software systems. They may be involved in the entire software development process, from requirements gathering to deployment. This course can benefit Software Engineers by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Software Engineers write more efficient and effective code.

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Cloud Engineer

Cloud Engineers are responsible for the design, implementation, and maintenance of cloud computing systems. They use a variety of tools and technologies, including Python, to build and manage cloud infrastructure and applications. This course can benefit Cloud Engineers by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Cloud Engineers write more efficient and effective code when working with cloud computing systems.

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Computer Scientist

Computer Scientists conduct research on computer science theory and develop new technologies. They work in a variety of fields, including artificial intelligence, computer graphics, and cybersecurity. This course can benefit Computer Scientists by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Computer Scientists write more efficient and effective code when developing new technologies.

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Application Architect

Application Architects design and develop the architecture of software applications. They work with developers and other stakeholders to ensure that applications are scalable, reliable, and secure. This course can benefit Application Architects by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Application Architects design and develop more efficient and effective software applications.

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DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams. This includes automating build and deployment processes, monitoring systems, and troubleshooting issues. This course can benefit DevOps Engineers by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help DevOps Engineers write more efficient and effective code when working with build and deployment systems.

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Systems Engineer

Systems Engineers are responsible for the design, implementation, and maintenance of computer systems. This includes hardware, software, and networks. This course can benefit Systems Engineers by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Systems Engineers write more efficient and effective code when working with computer systems.

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Web Developer

Web Developers design, develop, and maintain websites and web applications. They use a variety of tools and technologies, including Python, to create user interfaces, write server-side code, and integrate with databases. This course can benefit Web Developers by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Web Developers write more efficient and effective code when building websites and web applications.

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Database Administrator

Database Administrators are responsible for the maintenance and optimization of databases. They ensure that databases are available, reliable, and secure. This course can benefit Database Administrators by providing them with a deeper understanding of Python's collection types, including how to implement __hash__ and __eq__ to make their own types more useful. This knowledge can help Database Administrators write more efficient and effective code when working with databases.

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Software Developer

Many Software Developers have a background in Computer Science or similar backgrounds. They use their skills to build applications for companies and organizations. Software Developers may work on projects related to the implementation of new features or fixing bugs. This course may be useful to Software Developers who want to expand their understanding of Python collection types, which can be useful when developing and managing complex applications.

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Reading list

We've selected 31 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 Core Python: Hashing and More Collections.

Markov Chains: Models, Algorithms And Applications

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This textbook provides a rigorous treatment of hashing, covering theoretical foundations, algorithmic techniques, and real-world applications. It includes in-depth discussions on collision resolution, perfect hashing, and cryptographic hash functions.

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