SymPy (Symbolic Expressions on Python) in one video | Python # 5

☕️ Buy me a coffee: https://paypal.me/donationlink240 🙏🏻 Support me on Patreon:   / ahmadbazzi   SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python. SymPy is used in many projects such as Cadabra, ChemPy, EinsteinPy, galgebra, Lcapy, SageMath, SfePy, Spyder, yt, etc. SimPy is free, lightweight and Python-based. We outline the contents of this lecture as follows: 00:00 What is SymPy ? 00:59 Installing SymPy using pip 01:53 Importing SymPy 02:16 Symbols 02:33 Defining a mathematical function 03:12 Operations 04:48 Functions & Plotting 11:43 Printing (and pretty printing) 14:12 Simplifying a mathematical expression 26:00 Differentiating 28:34 Integrating 30:59 Limits 33:02 Taylor Series Expansion 35:07 Solving f(x) = 0 26:00 Differentiating 37:39 Solving a system of linear equations 40:56 Solving a system of non-linear equations 41:54 Solving differential equations 43:36 Summary --------------------------------------------------------------------------------------------------------- Credits : Google Chrome: https://www.google.com/chrome/ Python: https://www.python.org/ SymPy: https://www.sympy.org/ 🔴 Subscribe for more videos on Machine Learning and Python. 👍 Smash that like button, in case you find this tutorial useful. 👁‍🗨 Speak up and comment, I am all ears. #PythonProgramming #Python #SymPy