This Python Programming course
starts with an introduction to Python, covering everything from the basics to
advanced topics. Learners will first get familiar with the Python environment,
including installation and the use of tools like Anaconda and Jupyter
Notebooks. The course then progresses to fundamental concepts such as
variables, data types, and control flow, before diving into Python’s powerful
operators and data structures. By exploring modules on advanced data types,
control flow, and Python functions, participants will build a solid coding
foundation.
The curriculum further delves
into error handling and user input, ensuring that students can write robust and
user-friendly programs. Advanced modules introduce learners to Python’s
scripting capabilities, the use of libraries, and the transition from Jupyter
Notebooks to more sophisticated development environments like VSCode. With a
focus on practical applications, the course also covers data analysis with
NumPy and Pandas, introduces the basics of object-oriented programming, and
ends with insights into starting a career in Python Programming, including
freelancing and personal branding strategies.