Learn Python Advanced Part 1: ISL Interpretation Included

Course Overview

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 1: ISL Interpretation Included," learners will acquire the following skills and knowledge:
1. Understanding of Python's high-level, general-purpose programming language.
2. Ability to write code with emphasis on code readability using significant indentation.
3. Knowledge of Python's dynamic typing and garbage collection features.
4. Familiarity with multiple programming paradigms, including structured, object-oriented, and functional programming.
5. Understanding of Python's comprehensive standard library, often referred to as a "batteries included" language.
6. Accessibility features such as subtitles, audio, and sign language interpretation for people with disabilities.
7. Proficiency in using Python's efficient high-level data structures.
8. Ability to apply object-oriented programming principles in Python.
9. Knowledge of various built-in functions for mathematical operations, numbers, and strings.
10. Understanding of modules and their usage in Python.
11. Ability to read and write files using Python's I/O operations.
12. Knowledge of exception handling techniques in Python.
13. Familiarity with decorators and their role in Python programming.
14. Understanding of generators and their usage in Python.
15. Proficiency in working with regular expressions in Python.
These concepts are divided into modules in the video course, and learners can assess their knowledge through assessments and tests after completing each module. A scorecard will be provided at the end of the final assessment.
Who will benefit from this course?
This course on Python Advanced Part 1: ISL Interpretation Included will benefit individuals who have a basic understanding of Python and want to further enhance their skills in the language. It is suitable for:
1. Programmers and Developers: This course will provide programmers and developers with a deeper understanding of Python's advanced concepts and features. It covers topics such as object-oriented programming, decorators, generators, and regular expressions, which are essential for building complex applications.
2. Data Scientists and Analysts: Python is widely used in the field of data science and analysis. This course will help data scientists and analysts to manipulate and analyze data more efficiently using Python's built-in data structures and functions.
3. Web Developers: Python is commonly used in web development frameworks such as Django and Flask. This course will equip web developers with the knowledge and skills to build dynamic and interactive web applications using Python.
4. System Administrators: Python is often used for automating tasks and managing systems. This course covers topics such as file I/O, exception handling, and modules, which are relevant for system administrators who want to automate repetitive tasks and manage systems more effectively.
5. Students and Learners: This course is also suitable for students and learners who are interested in learning Python and want to explore its advanced features. It provides a comprehensive overview of various concepts and functions in Python, allowing learners to expand their programming skills.