Python is an open-source, interpreted, high-level, object-oriented programming language developed by Guido Van Rossum in 1991.
Python has a relatively steady learning curve due to its simple and easy-to-learn syntax. It works on any operating system like Windows, mac, Unix, etc. Also, accomplish any task with fewer lines of code. Being a general-purpose programming language, it is not limited to any specific task but, it can be used for anything and everything, making it very versatile. As a result, Python has become one of the most popular programming languages.
Due to Python's ubiquity and portability, it is used in various applications like
Please visit this page for more applications of Python.
Fostering a Coding Community
Mission:
Provide students across campus with real-time coding support and to enhance the experience of coding among students.
Where? CEAS Library Classroom - Baldwin 850D
When? Every Wednesday from 4-7pm.
What? Join us in the CEAS Library classroom, 850D Baldwin, on Wednesday afternoons from 4-7pm for live coding support. All are welcome! Coding can be an isolating activity, but we are here to help make coding friendly. Get connected to your peers, hear from student groups, find your coding buddy, and get live support from experienced coders on the library workshop team.
Have questions? Contact:
Kranthi Yellugari, Lead Workshop Instructor: yellugki@mail.uc.edu
Nhat Nguyen, Program Coordinator: nguye2hq@mail.uc.edu
Mark Chalmers, Science & Engineering Librarian: chalmemk@ucmail.uc.edu
Python uses an interpreter to execute the code. This interpreter converts one line at a time in the source code into a simple bytecode. This line-by-line translation allows finding the error with ease. There are multiple ways to run Python code. Following are some of the environments to run the Python code.
Python is supported on all the major operating systems. Click the following links to download the latest release for the respective operating systems.
A text editor is used to write the long Python scripts with multiple functions and save them (with a .py extension) for future use. The list of all available text editors for Python can be found here.
Anaconda distribution is a collection of Spyder, Jupyter Notebook, RStudio, and other commonly used scientific computing and data science tools. It is recommended for all the beginners to install Anaconda.
Jupyter Notebook is a web-based tool to run live code including Python. Install Python before installing the stand-alone Jupyter Notebook. After the Python's installation, type one of the following commands in the command terminal.
'pip' is the keyword that is used to install missing libraries/packages in Python. Please visit this page to know more about 'pip'.
Note: Make sure the PATH variable is set properly before installing any Python related package. Click the following links to learn how to set the PATH variable in the respective operating systems.
