| Expiry period |
Lifetime |
|
|
| Made in |
English |
|
|
| Last updated at |
Sun May 2024 |
|
|
| Level |
Beginner |
|
|
| Total lectures |
6 |
|
|
| Total quizzes |
0 |
|
|
| Total duration |
70:40:00 Hours |
|
|
| Total enrolment |
0 |
|
|
| Number of reviews |
0 |
|
|
| Avg rating |
|
|
|
| Short description |
Python is a high-level, interpreted programming language that is widely used for web development, data analysis, artificial intelligence, and scientific computing. It was created by Guido van Rossum in 1991 and has since become one of the most popular programming languages in the world.
Python is known for its simple and easy-to-learn syntax, making it a great language for beginners. It also has a large standard library and a thriving community, making it easy to find resources and support for any project.
One of the key features of Python is its versatility. It can be used for a wide range of applications, from building simple scripts to creating complex software systems. It also supports multiple programming paradigms, including object-oriented, functional, and procedural programming.
Another advantage of Python is its cross-platform compatibility. It can run on various operating systems such as Windows, Mac, and Linux, making it a popular choice for developers working on different platforms.
In addition to its general-purpose use, Python has also gained popularity in specific fields such as data science and machine learning. Its extensive libraries and frameworks, such as NumPy, Pandas, and TensorFlow, make it a powerful tool for data analysis and AI development.
Overall, Python is a versatile and powerful language that continues to grow in popularity and usage. Its user-friendly syntax, vast community, and wide range of applications make it a valuable skill for any programmer to have. |
|
|
| Outcomes |
- 1. Python: Python is a high-level, general-purpose programming language that is widely used in various fields such as web development, data science, and artificial intelligence. It is known for its simple syntax and powerful libraries, making it a popular choice for beginners and experienced programmers alike.
- 2. Java: Java is a widely used object-oriented programming language that is known for its platform independence, meaning it can run on any operating system. It is commonly used for developing desktop applications, web applications, and Android mobile apps.
- 3. HTML/CSS: HTML (Hypertext Markup Language) and CSS (Cascading Style Sheets) are the building blocks of web development. HTML is used to create the structure and content of a webpage, while CSS is used to style and format the webpage. These languages are essential for anyone interested in web development.
- 4. [removed] JavaScript is a client-side scripting language that is used to add interactivity and dynamic features to websites. It is also used in web development frameworks such as React and Angular, making it a valuable skill for front-end developers.
- 5. SQL: SQL (Structured Query Language) is a programming language used for managing and manipulating data in relational databases. It is essential for anyone working with large datasets, such as data analysts and database administrators.
|
|
|
| Requirements |
- 1. Basic Programming Concepts: A strong foundation in programming concepts such as variables, data types, control structures, and functions is essential for learning any computer language, including Python.
- 2. Object-Oriented Programming (OOP): Python is an object-oriented language, so understanding the principles of OOP is crucial for writing efficient and organized code. This includes concepts such as classes, objects, inheritance, and polymorphism.
- 3. Data Structures and Algorithms: Python is commonly used for data analysis and manipulation, so having a good understanding of data structures like lists, dictionaries, and sets, as well as algorithms for sorting and searching, is important.
- 4. Libraries and Frameworks: Python has a vast collection of libraries and frameworks that can greatly enhance its capabilities. Familiarity with popular libraries such as NumPy, Pandas, and Matplotlib can make data analysis and visualization tasks much easier.
- 5. Problem-Solving Skills: Learning a computer language is not just about memorizing syntax and rules, but also about developing problem-solving skills. Being able to break down a problem into smaller, manageable steps and finding efficient solutions is crucial for writing effective code in any language.
|
|
|
