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Dalya Faizy

By the end of this project, you will be able to code a fully functioning supermarket system using Python programming language. Throughout this guided project, you will be able to identify and apply more intermediate concepts in Python, such as dictionaries and exception handling, to be used with the basic python concepts, such as if conditions and loops. Each part of this project will prepare you to code on your own in Python language, whether to construct a supermarket system or simple coding.

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By the end of this project, you will be able to code a fully functioning supermarket system using Python programming language. Throughout this guided project, you will be able to identify and apply more intermediate concepts in Python, such as dictionaries and exception handling, to be used with the basic python concepts, such as if conditions and loops. Each part of this project will prepare you to code on your own in Python language, whether to construct a supermarket system or simple coding.

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.

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Syllabus

Project Overview
By the end of this project, you will be able to code a fully functioning supermarket system using Python programming language. Throughout this guided project, you will be able to identify and apply more intermediate concepts in Python, such as dictionaries and exception handling, to be used with the basic python concepts, such as if conditions and loops. Each part of this project will prepare you to code on your own in Python language, whether to construct a supermarket system or simple coding. Python programming is one of the easiest programming languages, since its syntax is English-like. It is used in many applications and mastering it will definitely pave a way for you to start a career in any programming-based field. Python is also the base for the machine learning and deep learning field.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines how syntaxes take inspiration from natural languages, which is imperative to learn any programming language
Course uses Python, one of the most beginner-friendly programming languages
Taught by an experienced instructor in the field who provides expert-level insights
Develops the foundation necessary for building a fully functioning supermarket management system, directly applicable to real-world scenarios
Introduces an in-demand, high-growth tech skill that can enhance career prospects
Guided project approach provides hands-on experience and practical application of concepts

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Reviews summary

App creation with python

Learners say that Creating a Supermarket App Using Python is a course that has some flaws in its code. They recommend modifications to the project to make it better use of Python's features. Despite its defects, learners say that the project is an opportunity for hands-on code editing.
Fun, hands-on course project
"best"
Hidden code defects cause program errors
"The project uses older Python code, which can be modified with better utilization of new features available"
"There are defects in the code itself that are hidden until you add more than one item to the program. You realize that the search functions are poorly programmed once you have more than one item and try to execute a search - this is because the loop that was programmed doesn't operate properly."
"In the video, the instructor only uses one item in all of the demonstrations which hides this."

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 Creating a Supermarket App Using Python with these activities:
Review Python syntax
Brush up on Python syntax to strengthen understanding before diving into intermediate concepts.
Browse courses on Python Syntax
Show steps
  • Review Python syntax documentation
  • Solve simple coding exercises to practice syntax
Python syntax basics
Revisit Python basics to ensure a solid foundation for intermediate Python concepts.
Browse courses on Python Basics
Show steps
  • Review if conditions and loops
  • Practice simple Python exercises involving basic syntax
Organize course materials
Enhance retention by organizing notes, assignments, and quizzes.
Show steps
  • Create a dedicated folder for course materials
  • Systematically file notes, assignments, and quizzes
Three other activities
Expand to see all activities and additional details
Show all six activities
Intermediate Python concepts
Follow tutorials to enhance understanding of dictionaries and error handling in Python.
Browse courses on Dictionaries
Show steps
  • Find and follow online tutorials on Python dictionaries
  • Practice using dictionaries in Python code examples
  • Similarly, explore tutorials and practice exception handling
Practice Python coding
Enhance coding proficiency by practicing Python coding exercises.
Show steps
  • Solve coding problems on platforms like LeetCode or HackerRank
  • Work on personal projects to apply Python skills
Python coding portfolio
Showcase your Python coding abilities by creating a portfolio of projects and exercises.
Show steps
  • Decide on the projects to include in the portfolio
  • Develop and refine your projects
  • Document and present your portfolio

Career center

Learners who complete Creating a Supermarket App Using Python will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to solve business problems. Python is a popular programming language for data science, and this course can help build a strong foundation in the language. The course covers topics such as data cleaning, data analysis, and machine learning, all of which are essential for success as a data scientist.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. Python is a popular programming language for machine learning, and this course can help build a strong foundation in the language. The course covers topics such as supervised learning, unsupervised learning, and deep learning, all of which are essential for success as a machine learning engineer.
Data Analyst
Data Analysts collect and analyze data to help businesses make informed decisions. Python is a popular programming language for data analysis, and this course can help build a strong foundation in the language. The course covers topics such as data cleaning, data visualization, and statistical analysis, all of which are essential for success as a data analyst.
Web Developer
Web Developers create and maintain websites and web applications. Python is a popular programming language for web development, and this course can help build a strong foundation in the language. The course covers topics such as HTML, CSS, JavaScript, and Python frameworks, all of which are essential for success as a web developer.
Software Engineer
Software Engineers create and maintain software for companies, playing a vital role in the development of new products and services. This course can help build a foundation in Python programming, a necessary skill for software engineers. The course covers topics such as data structures, algorithms, and object-oriented programming, all of which are essential for success as a software engineer.
Software Developer
Software Developers create and maintain software for companies, playing a vital role in the development of new products and services. This course can help build a foundation in Python programming, a necessary skill for software developers. The course covers topics such as data structures, algorithms, and object-oriented programming, all of which are essential for success as a software developer.

Reading list

We've selected 14 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 Creating a Supermarket App Using Python.
Comprehensive guide to Python programming, covering essential concepts like variables, data structures, functions, and object-oriented programming. It includes hands-on projects to help you apply your knowledge and build practical skills.
Teaches you how to use Python to automate tasks and solve problems, from sending emails to scraping websites. It's a great resource for learning practical Python skills that you can use in the supermarket app project.
Practical guide to using Python for data analysis. It covers essential topics like data cleaning, data visualization, and machine learning. It's a valuable resource for anyone who wants to use Python for data-driven decision-making.
Provides a collection of ready-to-use Python recipes that solve common programming problems. It's a valuable reference tool for Python developers of all levels.
Provides a deep dive into the Python language, covering advanced topics like decorators, generators, and metaprogramming. It's a valuable resource for anyone who wants to master Python.
Comprehensive reference guide to the Python language. It covers all aspects of Python, from syntax to standard library.
Provides a deep dive into advanced Python techniques for data science and machine learning. It covers topics like data preprocessing, model selection, and deployment.
Provides a comprehensive overview of machine learning in Python. It covers a wide range of topics, from basic concepts to advanced techniques.
Provides a comprehensive overview of deep learning in Python. It covers a wide range of topics, from the basics of deep learning to advanced techniques.
Provides a comprehensive overview of natural language processing in Python. It covers a wide range of topics, from the basics of NLP to advanced techniques.

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