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Updated in [October 07th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation.Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library. We have made these courses accessible for People with Disabilities. Subtitles, audio and sign language interpretation is added to make it accessible. Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platformsSections in the coursesConcepts/ Content1. Introduction & Overview2. Data types in Python3. Conditional Statements4. Control Statements5. Lists6. Tuples7. Dictionaries8. Math functions9. Number functions10. String Functions11.Random functions12.Time functions13.User-defined functions14.Lambda functions15.Modules16.Files I/O17.Exception Handling18.Object-Oriented Programming19.Decorators20.Generators21.Regular ExpressionsThese concepts are divided and briefed in each module of the video. You can take the assessments and tests after the module completion to check the knowledge learnt. A score card will be shared at the end of final assessment.

We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it:
(Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.)
What skills and knowledge will you acquire during this course?
During the course "Learn Python Advanced Part 2: ISL Interpretation Included," learners will acquire the following skills and knowledge:
1. Understanding of advanced data types in Python, including lists, tuples, and dictionaries.
2. Knowledge of conditional and control statements in Python.
3. Familiarity with various mathematical and number functions available in Python.
4. Proficiency in using string functions for manipulating and working with text data.
5. Understanding of random and time functions in Python.
6. Ability to create and use user-defined functions in Python.
7. Knowledge of lambda functions and their applications.
8. Understanding of modules and how to import and use them in Python.
9. Proficiency in reading from and writing to files in Python.
10. Ability to handle exceptions and errors using exception handling techniques.
11. Understanding of object-oriented programming concepts in Python.
12. Knowledge of decorators and their use in Python.
13. Familiarity with generators and their applications in Python.
14. Ability to work with regular expressions for pattern matching and text manipulation.
These concepts are divided into modules in the video course, and learners can take assessments and tests after completing each module to check their understanding. A scorecard will be provided at the end of the final assessment.
Who will benefit from this course?
This course on Python Advanced Part 2: ISL Interpretation Included will benefit individuals who already have a basic understanding of Python and want to further enhance their skills and knowledge in the language.
Specifically, this course will be beneficial for:
1. Programmers and Developers: This course will provide programmers and developers with a deeper understanding of Python's advanced concepts and features. It will enable them to write more efficient and effective code, utilize advanced data structures, and implement object-oriented programming principles.
2. Data Scientists and Analysts: Python is widely used in the field of data science and analysis. This course will cover topics such as working with data types, mathematical functions, and modules, which are essential for data manipulation and analysis. It will also introduce concepts like regular expressions, which are commonly used for data extraction and pattern matching.
3. Software Engineers: Python is a popular language for software development due to its simplicity and versatility. This course will cover topics like control statements, exception handling, and file I/O, which are crucial for building robust and error-free software applications. It will also introduce object-oriented programming and decorators, which are important concepts in software engineering.
4. IT Professionals: Python is widely used in various IT domains, including network programming, web development, and automation. This course will provide IT professionals with the necessary skills to leverage Python for these purposes. Topics like modules, generators, and string functions will be covered, which are relevant to these areas.
5. Students and Learners: This course is suitable for students and learners who want to expand their programming skills and knowledge. Python is often taught as a first programming language in educational institutions, and this course will serve as a valuable resource for those who want to go beyond the basics and explore advanced concepts.

Course Syllabus

Object-Oriented Programming

Decorators

Generators

Regular Expressions

Conclusion