What you will learn?
Core Python Syntax and Semantics: Understanding the basics of Python programming, including variables, data types, and operators.
Control Flow and Functions: Mastering conditionals, loops, and defining reusable functions to build efficient programs.
Data Structures: Working with lists, dictionaries, tuples, and sets for effective data manipulation.
File Handling and I/O Operations: Learning to read from and write to files, and handling various data formats.
Error Handling and Debugging: Identifying and correcting errors, and using debugging tools to ensure code quality.
Introduction to Libraries: Getting acquainted with Python libraries such as NumPy and Pandas for data analysis.
About this course
The "Python Programming" course offers a comprehensive introduction to Python, one of the most versatile and widely-used programming languages today. This course covers fundamental programming concepts and Python-specific features, including data types, control structures, functions, and modules. By combining theoretical instruction with practical exercises, students will gain hands-on experience in writing Python code, debugging, and applying Python to real-world problems. The course also explores basic concepts in data handling and introduces students to libraries for more advanced applications.
Target Audience
- Beginners with no prior programming experience.
- Individuals interested in transitioning into a programming role.
- Students or professionals seeking to enhance their data analysis skills.
- Anyone looking to gain a solid foundation in Python for further specialization in software development, data science, or machine learning.
Requirements
Prerequisites: No prior programming knowledge is required. Basic familiarity with computers and the internet is beneficial.
Materials Needed: A computer with internet access and Python installed (installation instructions provided). A code editor such as VSCode or PyCharm is recommended but not mandatory.
Software: Students will need to install Python (version 3.x) and familiarize themselves with a Python IDE or text editor.
Assignments and Projects: Regular coding assignments and a final project to apply learned concepts.
Support: Access to online forums or course helpdesks for technical support and community interaction.
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