Lecture 07 | Standard Libraries vs Third-Party Libraries | Install & Uninstall Packages using PIP

Welcome to Lecture 07 of the Basics of Python Programming for Pharmaceutical Sciences series by DrND's_KnowledgeHub. In this lecture, you will learn one of the most important concepts in Python programming—Python Libraries. Python becomes incredibly powerful because of its extensive collection of built-in and third-party libraries that simplify scientific computing, pharmaceutical research, bioinformatics, and data analysis. This lecture explains the difference between Standard Libraries and Third-Party Libraries, how to install and uninstall packages using PIP, and why Virtual Environments (venv) are essential for professional Python development. Throughout the lecture, examples are explained from a pharmacy and life sciences perspective, making it easy for B.Pharm, PharmD, M.Pharm, MSc, Biotechnology, Life Sciences, and Biomedical students to understand how Python is used in modern research. 📚 In this lecture you will learn: ✔ What are Python Libraries? ✔ Standard Library vs Third-Party Libraries ✔ Common Built-in Python Modules ✔ Popular Scientific Libraries (NumPy, Pandas, Matplotlib, Requests, Scikit-learn, TensorFlow, PyTorch) ✔ Python Package Installer (PIP) ✔ Installing Packages ✔ Installing Specific Versions ✔ Listing Installed Packages ✔ Uninstalling Packages ✔ Dependency Conflicts ✔ Virtual Environments (venv) ✔ Best Practices for Python Package Management This lecture is specially designed for: • B.Pharm Students • PharmD Students • M.Pharm Students • Biotechnology Students • Life Sciences Students • Biomedical Students • Beginners learning Python Programming If you find this lecture helpful, don't forget to Like 👍, Share 📤, and Subscribe 🔔 to DrND's_KnowledgeHub for more pharmacy-oriented Python programming tutorials. #python #pythonprogramming #learnpython #pythonlibraries #StandardLibrary #ThirdPartyLibraries #PIP #virtualenvironment #numpy #pandas #matplotlib #pharmacy #pharmaceuticalsciences #bioinformatics #lifesciences #biomedicalresearch #drugdiscovery #ProgrammingForPharmacy #bpharmacy #pharmd #mpharmacy #research #datascience #machinelearning #DrND's_KnowledgeHub #kluniversity #klcollegeofpharmacy