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Yousef Metwally

By the end of this project, you will create personalized Desktop notifications using python. You will be able to effectively use different python libraries to fetch data from the internet, process the data, and present the data as notifications. In this project, we will make a Covid-19 news notification to help to be always updated about the current situation.

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By the end of this project, you will create personalized Desktop notifications using python. You will be able to effectively use different python libraries to fetch data from the internet, process the data, and present the data as notifications. In this project, we will make a Covid-19 news notification to help to be always updated about the current situation.

Python language is one of the most accessible programming languages available because of Its simplified syntax that gives emphasis on natural language. It is highly used in machine learning and data science applications which are some of the biggest trends in computer science right now. It is also supported by many corporations such as Facebook and Amazon. It is specially adapted by Google making it the number one choice for many programmers and engineers.

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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What's inside

Syllabus

Project Overview
By the end of this project, you will create personalized Desktop notifications using python. You will be able to effectively use different python libraries to fetch data from the internet, process the data, and present the data as notifications. In this project, we will make a Covid-19 news notification to help to be always updated about the current situation. Python language is one of the most accessible programming languages available because of Its simplified syntax that gives emphasis on natural language. It is highly used in machine learning and data science applications which are some of the biggest trends in computer science right now. It is also supported by many corporations such as Facebook and Amazon. It is specially adapted by Google making it the number one choice for many programmers and engineers.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides insight into data science applications, a growing field in computer science
Features multiple media formats, enhancing the learning experience
Emphasizes natural language, making it accessible to learners with varying backgrounds
Builds a foundation for beginners in data science
Intended for learners based in the North America region

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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 Personal Desktop Notifier in Python: Covid-19 notifications with these activities:
Seek guidance from experienced Python programmers
Connect with experienced Python programmers who can provide valuable insights, guidance, and support throughout your learning journey.
Show steps
  • Attend industry events or online meetups
  • Reach out to Python programmers on platforms like LinkedIn or GitHub
Organize and review course materials
Stay organized and ensure you have a comprehensive understanding of the course materials by reviewing and compiling them regularly.
Show steps
  • Create a dedicated folder or notebook for course materials
  • Review lecture notes, readings, and assignments regularly
Refresh Python basics
Refresh your understanding of Python syntax and fundamentals to prepare for this course.
Browse courses on Python Basics
Show steps
  • Review online tutorials on Python basics
  • Practice writing simple Python programs
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Python Crash Course' by Eric Matthes
Gain a comprehensive understanding of Python programming fundamentals and practical applications from a highly recommended book in the field.
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  • Read the book thoroughly and take notes
  • Complete the exercises and projects in the book
Join a study group or online forum
Engage with fellow learners to discuss course concepts, share knowledge, and get support.
Show steps
  • Find a study group or online forum related to Python programming or data science
  • Participate in discussions and ask questions
Practice data processing drills
Strengthen your data processing skills by completing exercises that involve manipulating and transforming data using Python libraries.
Browse courses on Data Processing
Show steps
  • Solve online coding challenges related to data processing
  • Create a small project that involves data processing
Explore Python libraries for data visualization
Expand your knowledge of Python libraries for data visualization, enabling you to create informative and engaging data visualizations.
Browse courses on Data Visualization
Show steps
  • Follow tutorials on using matplotlib, seaborn, or other popular data visualization libraries in Python
  • Create data visualizations based on sample datasets

Career center

Learners who complete Personal Desktop Notifier in Python: Covid-19 notifications will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use various tools and techniques to collect, clean, and analyze data in order to help businesses make informed decisions. This course can help aspiring Data Analysts develop the necessary skills to succeed in this role, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a popular programming language in data science, will be particularly valuable for those seeking careers in this field.
Data Scientist
Data Scientists use their expertise in machine learning, statistics, and data analysis to solve complex business problems. This course can provide a foundation for aspiring Data Scientists by introducing them to the basics of data science, including data wrangling, data visualization, and statistical analysis. The course's emphasis on using Python, a widely used programming language in data science, will also be beneficial for those seeking careers in this field.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help aspiring Software Engineers develop the necessary programming skills, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a popular programming language in various industries, will be particularly valuable for those seeking careers in software development.
Business Analyst
Business Analysts use their understanding of business processes, data analysis, and technology to help organizations improve their performance. This course can help aspiring Business Analysts develop the necessary skills for this role, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a programming language that is increasingly used in business analysis, will also be beneficial for those seeking careers in this field.
Web Developer
Web Developers design, create, and maintain websites and web applications. This course can help aspiring Web Developers develop the necessary programming skills, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a popular programming language in web development, will be particularly valuable for those seeking careers in this field.
Database Administrator
Database Administrators ensure that databases are running smoothly and efficiently. This course can help aspiring Database Administrators develop the necessary skills for this role, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a programming language that is increasingly used in database administration, will also be beneficial for those seeking careers in this field.
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course can help aspiring Data Engineers develop the necessary skills for this role, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a popular programming language in data engineering, will be particularly valuable for those seeking careers in this field.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course can provide a foundation for aspiring Machine Learning Engineers by introducing them to the basics of machine learning, including data wrangling, data visualization, and statistical analysis. The course's emphasis on using Python, a widely used programming language in machine learning, will also be beneficial for those seeking careers in this field.
Data Architect
Data Architects design and manage data systems. This course can help aspiring Data Architects develop the necessary skills for this role, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a programming language that is increasingly used in data architecture, will also be beneficial for those seeking careers in this field.
Software Architect
Software Architects design and oversee the development of software systems. This course can help aspiring Software Architects develop the necessary programming skills, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a popular programming language in software architecture, will be particularly valuable for those seeking careers in this field.
Technical Project Manager
Technical Project Managers plan, execute, and manage technical projects. This course can help aspiring Technical Project Managers develop the necessary skills for this role, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a programming language that is increasingly used in project management, will also be beneficial for those seeking careers in this field.
Data Governance Specialist
Data Governance Specialists develop and implement data governance policies and procedures. This course can help aspiring Data Governance Specialists develop the necessary skills for this role, such as data wrangling, data visualization, and statistical analysis. The course's focus on using Python, a programming language that is increasingly used in data governance, will also be beneficial for those seeking careers in this field.
Information Security Analyst
Information Security Analysts protect computer systems and data from unauthorized access or damage. This course may be helpful for aspiring Information Security Analysts by providing a foundation in data analysis and visualization. The course's focus on using Python, a programming language that is increasingly used in information security, may also be beneficial for those seeking careers in this field.
Health Data Analyst
Health Data Analysts use data analysis techniques to improve patient care and outcomes. This course may be helpful for aspiring Health Data Analysts by providing a foundation in data analysis and visualization. The course's focus on using Python, a programming language that is increasingly used in healthcare, may also be beneficial for those seeking careers in this field.
Financial Analyst
Financial Analysts use data analysis techniques to make investment decisions. This course may be helpful for aspiring Financial Analysts by providing a foundation in data analysis and visualization. The course's focus on using Python, a programming language that is increasingly used in finance, may also be beneficial for those seeking careers in this field.

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 Personal Desktop Notifier in Python: Covid-19 notifications.
Provides the definitive documentation for Python, offering a comprehensive and up-to-date resource for understanding the language's syntax and best practices.
Provides a hands-on, project-based approach to learning Python and valuable companion to the course, covering the basics of Python programming and offering practical examples.
Offers insights into idiomatic Python programming, explaining the language's nuances and best practices, which can enhance the understanding gained from the course.
Offers a collection of practical recipes for solving common Python programming problems, serving as a valuable reference for applying the concepts learned in the course.
Provides a practical guide to automating tasks with Python, covering topics such as web scraping, data analysis, and system administration, which can complement the course's focus on data fetching and processing.
A comprehensive guide to Python programming, offering in-depth coverage of the language's features and principles, serving as a valuable reference for the course's topics.
Provides a comprehensive and approachable guide to Python 3, covering topics such as data types, control flow, and object-oriented programming, serving as a solid foundation for the course.
Provides a practical guide to data science using Python, covering topics such as data cleaning, analysis, and visualization, which can complement the course's emphasis on data processing and presentation.
Focuses on data analysis using Python, covering topics such as data cleaning, manipulation, and visualization, which can complement the course's emphasis on data processing.
Covers the fundamentals of Python programming, suitable for beginners who need a solid foundation before delving into the course's more advanced topics.

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