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Python

Using Lists, Dictionaries, Loops, Files, and Modules (Interactive)

Sarah Holderness

Explore more Python basics and use them to help manage our circus and its Spam Van food truck.

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Explore more Python basics and use them to help manage our circus and its Spam Van food truck.

Explore more Python basics and use them to help manage our circus and its Spam Van food truck. This interactive course was formerly known as Flying Through Python on Code School.

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What's inside

Syllabus

Lists and Dictionaries
Loops
Functions
Reading and Writing Files
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Modules

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches Python basics, which are essential for various roles in the tech industry
Employs an interactive learning approach, making it suitable for beginners and those seeking a refresher
Covers topics like data structures, loops, functions, and file handling, providing a solid foundation for Python programming
Taught by Sarah Holderness, who is an experienced instructor in Python and web development
May require students to have some prior coding experience or familiarity with basic programming concepts
Emphasizes Python 3, which is the latest and most widely used version of Python

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Activities

Coming soon We're preparing activities for Python: Using Lists, Dictionaries, Loops, Files, and Modules (Interactive). These are activities you can do either before, during, or after a course.

Career center

Learners who complete Python: Using Lists, Dictionaries, Loops, Files, and Modules (Interactive) will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use their skills in data mining, statistical analysis, and visualization to identify trends and patterns in data. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as a Data Analyst.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their skills in programming languages, data structures, and algorithms to create software that meets the needs of users. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as a Software Engineer.
Web Developer
Web Developers design, develop, and maintain websites. They use their skills in HTML, CSS, JavaScript, and Python to create websites that are both functional and visually appealing. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as a Web Developer.
Data Scientist
Data Scientists use their skills in statistics, machine learning, and data analysis to solve business problems. They use their knowledge of data to create models and algorithms that can predict future outcomes and identify trends. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as a Data Scientist.
Business Analyst
Business Analysts use their skills in business analysis, data analysis, and communication to help businesses improve their performance. They use their knowledge of business processes, data analysis techniques, and communication skills to identify problems and opportunities. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as a Business Analyst.
Financial Analyst
Financial Analysts use their skills in finance, accounting, and data analysis to help businesses make informed financial decisions. They use their knowledge of financial markets, investment strategies, and risk management to identify opportunities and risks. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as a Financial Analyst.
Operations Research Analyst
Operations Research Analysts use their skills in mathematics, statistics, and optimization to solve business problems. They use their knowledge of mathematical modeling, simulation, and data analysis to improve the efficiency and effectiveness of business operations. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as an Operations Research Analyst.
Project Manager
Project Managers plan, execute, and close projects. They use their skills in project management, communication, and leadership to ensure that projects are completed on time, within budget, and to the required quality. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as a Project Manager.
Data Engineer
Data Engineers design, build, and maintain data pipelines. They use their skills in data engineering, big data, and cloud computing to ensure that data is available to businesses in a timely and reliable manner. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as a Data Engineer.
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They use their skills in machine learning, data science, and cloud computing to create models that can learn from data and make predictions. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, will be essential for success in this role. This course can help you build a foundation in Python that will prepare you for a career as a Machine Learning Engineer.
Marketing Analyst
Marketing Analysts use their skills in marketing, data analysis, and communication to help businesses understand their customers and develop marketing campaigns. They use their knowledge of marketing research, data analysis techniques, and communication skills to identify trends and opportunities. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, may be useful in this role. This course can help you build a foundation in Python that will prepare you for a career as a Marketing Analyst.
Product Manager
Product Managers plan, develop, and launch products. They use their skills in product management, marketing, and engineering to create products that meet the needs of users. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, may be useful in this role. This course can help you build a foundation in Python that will prepare you for a career as a Product Manager.
Salesforce Administrator
Salesforce Administrators manage and maintain Salesforce systems. They use their skills in Salesforce administration, data management, and customer relationship management to ensure that Salesforce systems are running smoothly and efficiently. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, may be useful in this role. This course can help you build a foundation in Python that will prepare you for a career as a Salesforce Administrator.
Technical Writer
Technical Writers create and maintain technical documentation. They use their skills in writing, editing, and communication to create documentation that is clear, concise, and accurate. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, may be useful in this role. This course can help you build a foundation in Python that will prepare you for a career as a Technical Writer.
Human Resources Manager
Human Resources Managers plan, develop, and implement human resources policies and programs. They use their skills in human resources management, employee relations, and labor law to ensure that organizations are compliant with all applicable laws and regulations. The Python skills you learn in this course, such as working with lists, dictionaries, and loops, may be useful in this role. This course can help you build a foundation in Python that will prepare you for a career as a Human Resources Manager.

Reading list

We've selected 18 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: Using Lists, Dictionaries, Loops, Files, and Modules (Interactive).
Provides a comprehensive overview of Python's basic data structures, including lists and dictionaries, and covers essential programming concepts such as loops and functions.
This visually engaging book utilizes a unique and interactive approach to teaching Python, making it a potentially effective supplement to the course for learners seeking a more creative and memorable learning experience.
This beginner-friendly book covers the basics of Python programming, including lists, dictionaries, and loops, providing a solid foundation for those new to the language.
While not directly covering lists and dictionaries, this book explores advanced Python concepts and best practices, offering valuable insights for those seeking to enhance their Python skills beyond the basics.
Delves into the more advanced features of Python, including decorators, metaclasses, and generators, providing valuable insights for those seeking to master the language's intricacies.
This practical guide offers a collection of recipes and solutions for common programming tasks in Python, including working with lists, dictionaries, and files, making it a useful reference for those seeking specific solutions.
Focuses specifically on Python's collection types, including lists, dictionaries, and sets, providing a deep dive into their implementation and use cases, making it a valuable resource for those seeking a comprehensive understanding of these data structures.
This textbook provides a comprehensive overview of computing concepts, using Python as the primary programming language, and includes sections on data structures such as lists and dictionaries, making it a suitable choice for those seeking a broader understanding of computer science.
This comprehensive guide to Python offers a detailed exploration of the language's features, including its data structures, and provides valuable insights for those seeking a deeper understanding of Python's inner workings.
This concise reference guide provides a quick and convenient way to look up Python's built-in functions, modules, and syntax, making it a useful tool for those seeking quick answers and reminders.
This comprehensive guide to the Python Standard Library provides detailed documentation and examples for its various modules and functions, making it a valuable resource for those seeking to explore the extensive capabilities offered by Python's ecosystem.
Is an introduction to computer science using Python. It good choice for beginners who want to learn the fundamentals of computer science and how to use Python to solve problems.
This concise and practical guide provides a quick reference to Python's syntax, functions, and modules, making it a useful tool for those seeking quick answers and reminders, as well as for those seeking a compact and portable reference.
This comprehensive textbook provides a thorough introduction to Python, covering its core concepts and features, including data structures such as lists and dictionaries, and offers a solid foundation for those seeking a deep understanding of the language.
This pocket-sized reference guide provides a quick and convenient way to look up Python's syntax, functions, and modules, making it a useful tool for those seeking quick answers and reminders, as well as for those seeking a compact and portable reference.

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