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Python Scripting

Dates, Classes and Collections

Aspen Olmsted

This course is the second course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the four main concepts in programming: Advanced String Operations and Dates, Modeling Classes, Development of Classes and Collections. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.

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What's inside

Syllabus

Dates and Advanced Strings

In this module, we continue our adventure coding! We will build on our skills by working with dates and time values. We will expand our abilities by looking at how to work with advance string operations. Lastly, we will explore was to format values for output.

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what should give you pause

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Course is part of a series of courses designed to prepare learners for a programming role

Second in a series of courses aiming to prepare learners for roles as programmers

Uses hands-on labs to help learners apply the material taught in the lectures

Covers advanced string operations, dates, modeling classes, development of classes, and collections

Provides a strong foundation for learners interested in programming

Introduces the four main concepts in programming

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Reviews summary

Python scripting: essential concepts & structures

According to students, this course is a highly practical step for aspiring programmers, offering a strong foundation in Python scripting. Learners praise the incredibly clear explanations from the instructor and find the hands-on labs particularly useful for reinforcing concepts. The modules on advanced string operations, dates, class development, and collections are highlighted as key strengths, preparing them for real-world tasks. While generally well-received, some learners noted that the course might lack sufficient depth for intermediate learners, and the UML section received mixed reviews regarding its practical integration.

Opinions are divided on the practical utility of the UML module.

"I found the UML section a bit dry and detached from the actual Python coding."

"The UML part was interesting but could be integrated better with the coding examples."

"I thought the sections on UML and class development were well-structured."

Thorough coverage of advanced strings, dates, classes, and collections.

"This course significantly improved my understanding of Python's date and time manipulation, as well as complex string operations."

"The content on advanced string operations and dates was particularly useful for real-world scripting."

"I learned so much about breaking down complex topics like classes and collections into manageable parts."

Labs and exercises effectively reinforce concepts for real-world use.

"The practical labs really helped solidify the concepts. I particularly enjoyed the modules on developing classes..."

"The hands-on exercises were perfectly aligned with the lectures."

"I found the labs to be very helpful in practicing the concepts taught."

"This course truly prepares me for practical scripting tasks."

Instructor's delivery makes complex topics accessible and engaging.

"The instructor's explanations were incredibly clear, and the practical labs really helped solidify the concepts."

"I found the instructor's delivery engaging and easy to follow. This course truly prepares you for practical scripting tasks."

"I learned so much from the advanced string and date handling... the instructor makes it all easy to understand."

Some encountered outdated examples and needed extra self-study.

"I also encountered a few outdated syntax examples in the older labs."

"This course requires a lot of self-study to fully grasp some concepts."

"I found some explanations not as clear as they could be, especially for complex topics."

Suitable for beginners but may lack depth for advanced students.

"I felt some parts, especially on collections, could have gone into more depth or provided more challenging examples."

"It's good for beginners, but intermediate learners might find it a bit slow-paced in parts."

"If you have some experience, this course might feel a bit too basic."

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 Python Scripting: Dates, Classes and Collections with these activities:

Review 'Head First Design Patterns'

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Enhance your understanding of class modeling and design patterns by reviewing this seminal work.

View Head First Design Patterns: A Brain-Friendly... on Amazon

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Obtain a copy of 'Head First Design Patterns'
Read through the chapters that align with the course topics on modeling classes.
Take notes and highlight important concepts.
Apply the principles to your own programming projects.

Engage in Peer Study Groups for Modeling Classes

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Deepen your comprehension of modeling classes through collaborative peer study groups.

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Form a study group with classmates who share similar interests.
Choose a specific aspect of modeling classes to focus on for each session.
Review course materials and prepare questions or discussion topics.
Meet regularly to discuss concepts, share insights, and work through problems together.
Provide constructive feedback and support to enhance each other's understanding.

Explore tutorials on Advanced String Operations and Dates

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Enhance your understanding of essential string operations and datetime handling by following guided tutorials.

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Identify reputable resources for programming tutorials.
Search for tutorials specific to advanced string operations and datetime manipulation.
Follow along with the tutorials, applying the concepts to practice exercises.
Experiment with different techniques and explore additional examples.

Five other activities

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Explore Tutorials on Developing Classes

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Expand your knowledge of developing classes by following guided tutorials.

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Identify reputable resources for programming tutorials.
Search for tutorials specific to developing classes, encapsulation, and inheritance.
Follow along with the tutorials, applying the concepts to practice exercises.
Experiment with different techniques and explore additional examples.

Solve Coding Challenges on Advanced String Operations and Dates

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Reinforce your skills in advanced string operations and datetime manipulation by solving coding challenges.

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Find coding platforms or websites that offer challenges on advanced strings and dates.
Select challenges that align with your skill level and interests.
Attempt to solve the challenges independently, referring to course materials and tutorials for guidance.
Analyze your solutions and identify areas for improvement.
Seek feedback or discuss your solutions with peers or mentors.

Implement a Class Hierarchy for Collections

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Solidify your understanding of collections by implementing a class hierarchy that demonstrates inheritance and polymorphism.

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Review the course materials on class hierarchies and collections.
Design a class hierarchy that represents different types of collections (e.g., lists, sets, maps).
Implement the classes and establish relationships between them.
Write test cases to verify the functionality of your class hierarchy.
Document your code and provide clear explanations of your design choices.

Develop a Cheat Sheet for Advanced String Operations and Dates

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Solidify your understanding by creating a comprehensive cheat sheet that summarizes key concepts in advanced string operations and dates.

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Review course materials and lecture notes.
Identify the most important formulas, syntax, and techniques related to advanced strings and dates.
Organize and present the information in a clear and concise manner.
Use bullet points, tables, and diagrams to enhance readability.
Proofread and refine your cheat sheet for accuracy and clarity.

Compile a Toolkit for Collections

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Organize and expand your knowledge of collections by creating a compilation of resources.

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Gather resources on collections, including tutorials, documentation, and code examples.
Organize the resources into categories (e.g., types of collections, algorithms, best practices).
Write summaries or annotations for each resource.
Share your compilation with peers or post it online for others to benefit.

Career center

Learners who complete Python Scripting: Dates, Classes and Collections will develop knowledge and skills that may be useful to these careers:

Software Developer

As a Software Developer, you'll be responsible for designing, developing, testing, deploying, and maintaining software applications. This course will help you build a strong foundation in Python, a popular programming language used in various software development projects. You'll learn how to manipulate dates and time values, model and develop classes, and use collections to store multiple values in a single variable. These skills are essential for any Software Developer seeking to create and manage complex software systems.

See salaries and explore the career path for Software Developer

Data Analyst

Data Analysts are responsible for collecting, cleaning, analyzing, and interpreting data to help businesses make better decisions. This course will provide you with a solid understanding of Python, a powerful tool for data analysis and manipulation. You'll learn how to format values for output, which is crucial for presenting data in a clear and concise manner. Additionally, you'll gain experience using collections to store and manage large datasets, a skill highly sought after by Data Analysts.

See salaries and explore the career path for Data Analyst

Web Developer

Web Developers are responsible for designing, developing, and maintaining websites and web applications. This course will teach you how to use Python for web development. You'll learn how to format values for output, which is essential for creating user-friendly web interfaces. The course also covers collections, a data structure used to store and manage website content, making it a valuable resource for Web Developers.

See salaries and explore the career path for Web Developer

Business Intelligence Analyst

Business Intelligence Analysts are responsible for analyzing data and providing insights to help businesses make better decisions. This course will provide you with a solid understanding of Python, a programming language commonly used for data analysis. You'll learn how to format values for output, a skill essential for presenting data in a clear and concise manner. Additionally, you'll gain experience using collections to store and manage large datasets, a skill highly sought after by Business Intelligence Analysts.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

Data Scientists are responsible for developing and applying statistical and machine learning models to extract insights from data. This course will provide you with a strong foundation in Python, a popular programming language used in data science. You'll learn how to format values for output, which is crucial for presenting data in a clear and concise manner. Additionally, you'll gain experience using collections to store and manage large datasets, a skill highly sought after by Data Scientists.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative Analysts are responsible for developing and applying mathematical and statistical models to financial data. This course will provide you with a strong foundation in Python, a programming language used in quantitative finance. You'll learn how to format values for output, which is crucial for presenting financial data in a clear and concise manner. Additionally, you'll gain experience using collections to store and manage large datasets, a skill highly sought after by Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Software Engineer

Software Engineers are responsible for designing, developing, testing, and deploying software systems. This course will help you build a strong foundation in Python, a programming language widely used in software engineering. You'll learn how to use classes and collections, two fundamental concepts in object-oriented programming, which are essential for developing complex software systems.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. This course will provide you with a solid understanding of Python, a language commonly used in data engineering. You'll learn how to use collections to store and manage large datasets, a skill highly sought after by Data Engineers. Additionally, you'll gain experience with classes and object-oriented programming, which are essential for developing data engineering solutions.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers are responsible for developing and deploying machine learning models. This course will provide you with a strong foundation in Python, a popular programming language used in machine learning. You'll learn how to use collections to store and manage large datasets, a skill highly sought after by Machine Learning Engineers. Additionally, you'll gain experience with classes and object-oriented programming, which are essential for developing machine learning solutions.

See salaries and explore the career path for Machine Learning Engineer

Data Architect

Data Architects are responsible for designing and managing data systems and infrastructure. This course will provide you with a solid understanding of Python, a programming language commonly used in data architecture. You'll learn how to use collections to store and manage large datasets, a skill highly sought after by Data Architects. Additionally, you'll gain experience with classes and object-oriented programming, which are essential for developing data architecture solutions.

See salaries and explore the career path for Data Architect

DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams. This course may be useful for those seeking to become DevOps Engineers, as it provides a foundation in Python, a language commonly used in DevOps. Additionally, you'll gain experience with classes and collections, two fundamental concepts in object-oriented programming, which are useful for developing DevOps solutions.

See salaries and explore the career path for DevOps Engineer

Cloud Architect

Cloud Architects are responsible for designing and managing cloud computing systems. This course may be useful for those seeking to become Cloud Architects, as it provides a foundation in Python, a language commonly used in cloud computing. Additionally, you'll gain experience with classes and collections, two fundamental concepts in object-oriented programming, which are useful for developing cloud architecture solutions.

See salaries and explore the career path for Cloud Architect

IT Consultant

IT Consultants are responsible for providing advice and guidance on IT systems and solutions. This course may be useful for those seeking to become IT Consultants, as it provides a foundation in Python, a language commonly used in IT consulting. Additionally, you'll gain experience with classes and collections, two fundamental concepts in object-oriented programming, which are useful for developing IT consulting solutions.

See salaries and explore the career path for IT Consultant

Systems Analyst

Systems Analysts are responsible for analyzing and designing IT systems. This course may be useful for those seeking to become Systems Analysts, as it provides a foundation in Python, a language commonly used in systems analysis. Additionally, you'll gain experience with classes and collections, two fundamental concepts in object-oriented programming, which are useful for developing systems analysis solutions.

See salaries and explore the career path for Systems Analyst

Information Security Analyst

Information Security Analysts are responsible for protecting IT systems from security threats. This course may be useful for those seeking to become Information Security Analysts, as it provides a foundation in Python, a language commonly used in information security. Additionally, you'll gain experience with classes and collections, two fundamental concepts in object-oriented programming, which are useful for developing information security solutions.

See salaries and explore the career path for Information Security Analyst

Reading list

We've selected 13 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 Python Scripting: Dates, Classes and Collections.

Python Data Science Handbook

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Provides a comprehensive introduction to Python for data science, covering topics such as data manipulation, visualization, and machine learning. It valuable resource for learners who are new to Python or who want to learn more about data science.

Python Scripting

Dates, Classes and Collections

Two deals to help you save

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Python scripting: essential concepts & structures

Activities

Career center

Reading list

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