As we all know, computer and programming skills have become highly sought after in many fields during this digital age. In university, C++ and Python courses provide students with the opportunity to learn and master two important programming languages.
Whether for computer science majors or students from other disciplines, learning C++ and Python is of significant importance and value. So what exactly are the true faces of these two programming languages and their courses?
In today’s article, we will give everyone a brief understanding of the C++ and Python courses, allowing students who have the opportunity to study these courses to have a heads-up and get ahead of the game~
In universities, C++ is typically set as a core course for majors such as computer science, computer engineering, and software engineering.
The university C++ course aims to help students grasp the syntax, semantics, and programming paradigms of C++, cultivating their ability to develop software in a C++ environment. We will learn the following core content:
Learn the syntax rules, data types, variables and expressions, control flow statements, and other basic concepts of C++, mastering the skills of writing and debugging C++ programs.
Object-Oriented Programming (OOP)
Learn the concepts and principles of object-oriented programming, including classes, objects, inheritance, polymorphism, etc. With C++’s class and object mechanisms, students can design and implement complex software systems.
Data Structures and Algorithms
Learn how to implement various data structures (such as arrays, linked lists, trees, graphs, etc.) and basic algorithms (such as sorting, searching, graph algorithms, etc.) using C++, to solve practical problems and optimize program performance.
Learn how to perform file read/write and input/output operations in C++, including file streams, character streams, formatted output, etc.
Learn how to handle exceptions in programs, including throwing, catching, and handling exceptions to enhance program robustness and reliability.
The C++ course aims to cultivate students’ programming skills, software design thinking, and problem-solving abilities. Through learning, students can further broaden their knowledge of computer science, laying a solid foundation for future career development.
Compared to the more difficult C++, Python is relatively easier to learn. Python is a high-level, interpreted programming language that is widely used in various fields due to its concise, readable, and flexible syntax.
The university Python course aims to help students master the basic knowledge and programming skills of Python, and cultivate their ability to develop software and perform data analysis in a Python environment.
For the university Python course, we will cover the following main content:
Learn the basic syntax, data types, variables, and operators of Python, mastering basic programming concepts and paradigms.
Control Flow and Functions
Learn the use of conditional statements, loops, and functions, mastering techniques for program flow control and modular programming.
Data Structures and Algorithms
Learn to implement various common data structures (such as lists, dictionaries, etc.) and basic algorithms (such as sorting, searching, etc.) using Python to solve practical problems and optimize program performance.
File Operations and Input/Output
Learn how to perform file read/write and input/output operations in Python, including opening, reading, writing, closing files, as well as standard input/output and formatted output.
Object-Oriented Programming (OOP)
Learn the concepts and principles of object-oriented programming, including classes, objects, inheritance, polymorphism, etc. Through Python’s class and object mechanisms, students can design and implement complex software systems.
Data Analysis and Scientific Computing
Learn the tools and libraries for data analysis and scientific computing using Python, such as NumPy, Pandas, and Matplotlib.
Learn the technologies and frameworks for web development using Python. Students will be able to develop dynamic websites and web applications.
By learning Python, students can master a concise yet powerful programming language, gaining the ability to solve practical problems and develop applications. Its simple syntax and strong code readability allow students to quickly get started and experience the joy of programming!
C++ and Python, as two commonly used programming languages, have wide applicability across different majors. If students are considering choosing the following majors, they can choose to master C++ or Python programming languages!
Majors Suitable for Learning C++:
· Computer Science and Engineering:C++ is a general-purpose high-level programming language widely used in the fields of computer science and engineering, including system development, network programming, algorithm design and analysis, etc.
· Software Engineering:C++ is an important programming language in the field of software engineering, particularly suitable for the development and maintenance of large software systems.
· Embedded Systems:C++ is widely used in the development of embedded systems, which can be used to write drivers, operating systems, and embedded applications.
· Game Development:C++ is one of the most commonly used programming languages in the field of game development, offering high performance and low-level control advantages.
Majors Suitable for Learning Python:
· Artificial Intelligence and Machine Learning:Python is the primary programming language in the fields of artificial intelligence and machine learning, with popular deep learning frameworks such as TensorFlow and PyTorch.
· Web Development:Python’s web frameworks (such as Django and Flask) make it an ideal choice for web development, enabling the rapid construction of powerful web applications.
· Scientific Computing and Engineering:Python’s scientific computing libraries and engineering computing tools are widely used in scientific research, engineering modeling, and simulation, such as SciPy and Matplotlib.
· Data Science and Analysis:Python is very popular in the field of data science and analysis, equipped with rich data processing, statistical analysis, and machine learning libraries such as NumPy, Pandas, and Scikit-learn.
However, students should note that C++ and Python are not limited to the above majors, they have wide applications in other fields as well.
Choosing a programming language that suits one’s major needs and interests will help enhance career competitiveness and adapt to industry development demands.
Importance of Learning
Importance
The C++ programming language is very important for developing operating systems, drivers, and real-time systems. Meanwhile, Python is simple and easy to learn, making it accessible even for non-computer science majors.
Studying Python and C++ in university not only enhances programming skills and problem-solving abilities but also helps broaden career development opportunities.
Both have wide applications in different fields, adapting to the needs of various industries, and mastering multiple programming languages also helps to adapt to technological changes and grasp new programming paradigms.
Finally, if students are interested in C++ and Python, or if the fields they wish to choose in the future require these professional skills and knowledge, they can check their university’s course requirements in advance and communicate with seniors to better plan their studies~
TD University Preparatory Courses
To help students master essential university courses in advance and lay a solid foundation for their major studies, TD will offer two sessions of university preparatory courses during the summer of 2023. The two courses will cover a total of 11 subjects including multivariable calculus, linear algebra, discrete mathematics, mathematical statistics, probability theory, data structures (Java), C++, Python, intermediate macroeconomics, intermediate microeconomics, and academic writing.
Each subject in multivariable calculus, linear algebra, discrete mathematics, mathematical statistics, probability theory, data structures (Java), C++, Python, intermediate macroeconomics, and intermediate microeconomics includes:30 hours of live classes + 10 hours of assistant classes + a complete post-class exercise system + full assistant Q&A + recording retention for 1 year, helping students solidly grasp the course content and smoothly transition to university studies.
Academic writing includes:12 hours of live classes + 10 hours of assistant classes + a complete post-class exercise system + 3 articles with detailed feedback + full assistant Q&A + recording retention for 1 year, helping to enhance writing skills and smoothly transition to university studies.
Among them, the summer class the first session will start on June 17, 2023, and the second session will start on July 15, 2023. For more details about the university preparatory courses, please click below “Read the Original”, or add the WeChat account below for more information~
