Getting your environment ready (Jupyter Notebooks, PyCharm). Core Basics: Data types, loops, and functions.
: Learn about modules (pre-defined functions and variables) and packages (collections of modules). Python's standard library includes modules for various tasks, such as file I/O, networking, and data structures. Getting your environment ready (Jupyter Notebooks, PyCharm)
Python is known for its stability. Code written in Python 3.6 (common in 2020) will generally run perfectly on Python 3.10+. The foundational concepts—loops, logic, OOP, and data structures—have not changed. However, the (Pandas, NumPy, Matplotlib) may have deprecated functions. If you use the 2020 course materials, you may occasionally encounter "FutureWarning" messages in your code, but these usually do not prevent the code from running. Getting your environment ready (Jupyter Notebooks
and ratings before downloading or purchasing courses. PyCharm). Core Basics: Data types
