Learn the basics of the NumPy library in this tutorial for beginners. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. The video covers creating arrays, indexing, math, statistics, reshaping, and more.

Learn the basics of the NumPy library in this tutorial for beginners. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. The video covers creating arrays, indexing, math, statistics, reshaping, and more.

⭐️ Course Contents ⭐️ ⌨️ (01:15) What is NumPy ⌨️ (01:35) NumPy vs Lists (speed, functionality) ⌨️ (09:17) Applications of NumPy ⌨️ (11:08) The Basics (creating arrays, shape, size, data type) ⌨️ (16:08) Accessing/Changing Specific Elements, Rows, Columns, etc (slicing) ⌨️ (23:14) Initializing Different Arrays (1s, 0s, full, random, etc...) ⌨️ (31:34) Problem #1 (How do you initialize this array?) ⌨️ (33:42) Be careful when copying variables! ⌨️ (35:45) Basic Mathematics (arithmetic, trigonometry, etc.) ⌨️ (38:20) Linear Algebra ⌨️ (42:19) Statistics ⌨️ (43:57) Reorganizing Arrays (reshape, vstack, hstack) ⌨️ (47:29) Load data in from a file ⌨️ (50:20) Advanced Indexing and Boolean Masking ⌨️ (55:59) Problem #2 (How do you index these values?)

All the basics to start using the Python library NumPy. In this course I'll cover the basics of using number and have several interactive course videos that will challenge you to learn how to use NumPy.

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This free 12-hour Python Data Science course will take you from knowing nothing about Python to being able to analyze data. You'll learn basic Python, along with powerful tools like Pandas, NumPy, and Matplotlib. This is a hands-on course and you will practice everything you learn step-by-step. This course includes a full codebase for your reference [https://github.com/datapublishings/Course-python-data-science]. It kicks off with a one-hour introduction to basic programming concepts, proble

Python tutorial for Data Science - Learn Python, Pandas, NumPy, Matplotlib, will take you from knowing nothing about Python to coding and analyzing data with Python using tools like Pandas, NumPy, and matplotlib. This is a hands-on course and you will practice everything you learn step-by-step.