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James Papademas

Contemporary open-source programming languages and frameworks are presented in this course. Students will consider design and development topics in system, graphical user interface, network, and web programming. Dynamic scripting languages are covered using object-oriented, concurrent, and functional programming paradigms. Concepts gained throughout the course are reinforced with numerous exercises which will culminate in an open-source programming project.

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Contemporary open-source programming languages and frameworks are presented in this course. Students will consider design and development topics in system, graphical user interface, network, and web programming. Dynamic scripting languages are covered using object-oriented, concurrent, and functional programming paradigms. Concepts gained throughout the course are reinforced with numerous exercises which will culminate in an open-source programming project.

As a great learning experience, Python is a versatile and widely used programming language that can be used for a wide range of applications, including data science, machine learning, web development, and more. Learning Python can lead to many career benefits, including increased job opportunities, higher salaries, and the ability to work on exciting and innovative projects. Additionally, adding online courses and certifications to a resume can demonstrate a commitment to professional development and a willingness to learn new skills!

Required Textbook: Starting Out with Python: 5th Edition, Tony Gaddis

Software Requirements: Python, Visual Studio Code

To truly excel in this course and get the most out of it, a solid foundation in several areas is key. Familiarity with computer and peripheral hardware, including their components and functions, will definitely help. Understanding the basics of computer networking, mobile computing, and cloud computing will also provide a strong base. Additionally, a comfortable grasp of Python programming is crucial for success in this course. But don't worry if you're not quite there yet! To help you build the necessary skills, we highly recommend checking out our Performance Based Admission courses, which cover the fundamental topics mentioned above. Additionally, if you need some Python practice, consider taking our Introduction to Open-Source Application Development course. These prior courses will equip you with the essential knowledge and set you up for success in this exciting material.

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What's inside

Syllabus

Module 1: Input, Processing, and Output
Welcome to Open Source Programming! In Module 1, students will be equipped with the ability to execute mathematical calculations using operators. Learners will master the art of annotating code through comments, declaring variables, and employing data conversion functions for robust program functionality. The module culminates in students applying their skills to design programs that solicit user input, process information, and clearly display results using the 'print' function, laying a strong foundation for proficient coding practices.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides a solid foundation for those interested in learning Python fundamentals
Develops skills in working with data structures, databases, and GUIs, which are essential for full-stack development
Covers modern open-source frameworks and tools, such as Python and Visual Studio Code, which are widely used in industry
Provides a comprehensive overview of the Python programming language, covering topics from basic syntax to object-oriented programming
Provides hands-on exercises and a culminating project to reinforce concepts and help learners apply their skills
Assumes basic computer literacy and some familiarity with Python programming

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Reviews summary

Comprehensive python & open source application development

According to learners, this course offers a comprehensive exploration of Python programming, suitable for those seeking master's level knowledge in open-source application development. Students appreciate its strong focus on practical application, including hands-on activities with GUIs and database programming (SQLite3), and coverage of topics like web scraping and unit testing. However, some find the pacing quite demanding, particularly in later modules where multiple advanced topics are introduced. Success crucially depends on a prior comfortable grasp of Python programming, which is a key prerequisite for this course.
Highly relevant for professional development.
"This course offers significant career benefits, deepening my Python skills for open-source roles."
"As a master's level course, it truly expanded my understanding of software design principles in an open-source context."
"I found the material well-suited for professional development, adding valuable skills to my resume."
Emphasizes hands-on application of concepts.
"The focus on practical projects and real-world applications, especially with GUIs and SQLite3, made the learning immediately applicable."
"I appreciate how the course moves beyond theory, teaching me how to build actual software components and interact with databases."
"The inclusion of web scraping and TDD as supplemental topics really enhances the practical utility of this course."
Covers fundamental to advanced Python programming.
"I feel I've gained a very solid and broad understanding of Python, from basic constructs to more complex topics like object-oriented programming."
"The modules truly cover a wide spectrum of Python functionalities, preparing me for diverse programming challenges."
"This course takes you through all essential Python concepts, right up to practical applications like GUIs and database interaction."
Covers many topics, potentially at a high pace.
"While the course is comprehensive, some advanced modules felt a bit rushed, like GUIs and database programming, leaving me wanting more depth."
"I found the pace quite demanding, especially in later modules where multiple significant topics are introduced rapidly."
"It's a broad overview, but some subjects, like TDD and web scraping, were only touched upon briefly rather than explored deeply."
Requires a solid foundational understanding of Python.
"This course truly is for learners with a comfortable grasp of Python; beginners will definitely struggle without prior foundational work."
"I found that having taken the 'Introduction to Open-Source Application Development' course beforehand was invaluable for keeping up."
"If you're not already proficient in Python, be prepared for a steep learning curve, as the course moves quickly into complex areas."

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 Open Source Programming - Master's with these activities:
Review the course syllabus and learning outcomes
Ensure you have a clear understanding of the course expectations and learning goals.
Browse courses on Course Syllabus
Show steps
  • Read the course syllabus thoroughly
  • Identify the key learning outcomes
Review Python programming basics
Refresh your Python programming skills to ensure you have a strong foundation for the course.
Browse courses on Python Programming
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  • Review variables, data types, and operators
  • Practice writing simple Python programs
Read 'Starting Out with Python'
Reinforce your Python knowledge by reading the assigned textbook.
Show steps
  • Read the assigned chapters
  • Take notes on key concepts
Six other activities
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Show all nine activities
Complete Python tutorials on loops and functions
Enhance your understanding of Python loops and functions through guided tutorials.
Browse courses on Loops
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  • Identify reputable Python tutorials
  • Follow the tutorials step-by-step
  • Practice implementing loops and functions
Mentor a beginner in Python programming
Reinforce your Python knowledge and help others by mentoring a beginner in the language.
Browse courses on Teaching
Show steps
  • Identify a beginner who needs guidance
  • Share your Python knowledge and skills
  • Provide feedback and support
Practice writing Python programs on LeetCode
Improve your problem-solving and Python skills by solving LeetCode problems.
Browse courses on Python Programming
Show steps
  • Create a LeetCode account
  • Select appropriate Python problems
  • Attempt to solve problems independently
  • Review solutions and learn from mistakes
Contribute to an open-source Python project
Gain practical experience and contribute to the Python community by contributing to an open-source project.
Browse courses on Python
Show steps
  • Identify a suitable open-source Python project
  • Understand the project's goals and codebase
  • Make meaningful contributions to the project
Develop a Python project to solve a real-world problem
Apply your Python skills to solve a real-world problem and deepen your understanding of the language.
Browse courses on Problem-Solving
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  • Identify a problem that can be solved using Python
  • Design and develop a solution
  • Test and refine your solution
  • Present your solution to others
Participate in a Python coding competition
Challenge yourself and improve your Python skills by participating in a coding competition.
Browse courses on Problem-Solving
Show steps
  • Identify a suitable coding competition
  • Prepare for the competition
  • Participate in the competition
  • Review your performance and learn from the experience

Career center

Learners who complete Open Source Programming - Master's will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists are in high demand as businesses seek to leverage data for strategic decision-making. This course offers a solid foundation in Python, a language commonly used for data analysis and machine learning tasks. By learning object-oriented, concurrent, and functional programming paradigms, you'll enhance your problem-solving abilities and become well-equipped for a successful career in data science.
Web Developer
Web Developers specialize in designing and developing websites and applications. This course offers a comprehensive understanding of web programming concepts, including dynamic scripting languages, system design, and graphical user interface development. Whether you aspire to work on the frontend, backend, or full-stack development, this course will provide a valuable foundation for your career journey.
Python Developer
With a versatile programming language like Python under your belt, becoming a Python Developer may be the perfect next step. They are responsible for crafting the backend and frontend of websites and programs alike. The concepts and skills taught in this Open Source Programming course, including system design and development, will build a solid foundation for a career in this field.
Software Engineer
Software Engineers design, develop, and maintain software systems. The Open Source Programming course aligns well with this role as it introduces contemporary open-source programming languages and frameworks used in the industry. By gaining proficiency in these technologies, you'll be well-equipped to contribute to the creation of robust and scalable software solutions.
Mobile Application Developer
Mobile Application Developers create and maintain applications for smartphones and tablets. The Open Source Programming course offers a solid foundation for this field by introducing students to the concepts of system design, graphical user interface development, and network programming. With the growing popularity of mobile devices, this course can equip you with the skills to succeed in the mobile app development industry.
User Experience Designer
User Experience Designers focus on enhancing the overall user experience of software products. The Open Source Programming course provides a strong foundation for this role by covering topics such as graphical user interface development and system design. By understanding the technical aspects of software development, you'll be well-equipped to design user interfaces that are both visually appealing and highly functional.
Database Administrator
Database Administrators manage and maintain database systems. This course offers an introduction to database programming using SQLite3, which will provide you with a basic understanding of data management concepts. Additionally, the course covers file processing, which is essential for working with data in a real-world setting.
Cloud Architect
Cloud Architects design and manage cloud computing systems. The Open Source Programming course may be useful for aspiring Cloud Architects as it covers concepts such as system design, network programming, and software development. Understanding these concepts will help you build a strong foundation for designing and implementing scalable and efficient cloud solutions.
IT Manager
IT Managers oversee the planning, implementation, and maintenance of computer systems and networks. The Open Source Programming course may be useful for aspiring IT Managers as it provides a broad overview of programming languages, frameworks, and software development concepts. This knowledge will help you better understand the technical aspects of IT systems and make informed decisions about their management.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access or attacks. The Open Source Programming course may be useful for aspiring Information Security Analysts as it provides a basic understanding of system design, network programming, and software development. These concepts are essential for understanding the vulnerabilities and threats that exist in computer systems and networks, and for developing effective security measures.
Technical Writer
Technical Writers create and maintain technical documentation, such as user manuals, training materials, and white papers. The Open Source Programming course may be useful for aspiring Technical Writers as it provides a solid understanding of programming concepts and technologies. This knowledge will enable you to clearly explain technical information to a non-technical audience.
Computer Systems Analyst
Computer Systems Analysts design, implement, and maintain computer systems and networks. The Open Source Programming course may be useful for aspiring Computer Systems Analysts as it provides a basic understanding of system design, network programming, and software development. This knowledge will help you understand the requirements of users and develop effective solutions.
Business Analyst
Business Analysts work with stakeholders to understand their business needs and develop solutions that meet those needs. The Open Source Programming course may be useful for aspiring Business Analysts as it provides a basic understanding of programming concepts and technologies. This knowledge will enable you to better understand the technical aspects of business problems and develop more effective solutions.
Project Manager
Project Managers plan, execute, and close projects. The Open Source Programming course may be useful for aspiring Project Managers as it provides a basic understanding of system design, project management, and software development. This knowledge will help you understand the technical aspects of projects and manage them effectively.
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software products to ensure they meet quality standards. The Open Source Programming course may be useful for aspiring Quality Assurance Analysts as it provides a basic understanding of programming concepts and technologies. This knowledge will enable you to better understand the technical aspects of software products and evaluate their quality.

Reading list

We've selected 12 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 Open Source Programming - Master's.
Comprehensive reference for Python programming. It covers everything from the basics of the language to more advanced topics like object-oriented programming and data structures.
Great resource for learning about Python machine learning. It covers a wide range of topics, from basic machine learning algorithms to advanced deep learning techniques.
Comprehensive introduction to Python programming, covering the basics of the language as well as more advanced topics like object-oriented programming and data structures.
Great choice for intermediate Python programmers who want to improve their coding skills. It covers advanced topics like object-oriented programming, data structures, and algorithms.
Collection of recipes for solving common Python programming problems. It's a great resource for intermediate and advanced Python programmers.
Great resource for learning about deep learning with Python. It covers a wide range of topics, from the basics of deep learning to advanced techniques like convolutional neural networks and recurrent neural networks.
Great resource for learning about the Python standard library. It covers a wide range of topics, from basic data types to advanced modules.
Great resource for learning about Python data science. It covers a wide range of topics, from data cleaning and munging to machine learning and data visualization.
Handy reference for Python programming. It covers the basics of the language as well as more advanced topics like object-oriented programming and data structures.
Great choice for beginners who want to learn how to use Python to automate tasks and make their lives easier.

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