Watch Python NumPy Tutorial for Beginners Video Tutorial


Tutorial Details & Info

Tutorial Title: Python NumPy Tutorial for Beginners
Instructor / Channel: freeCodeCamp.org
Lesson Runtime: 58:10 Minutes
Publish Date: August 07, 2019
Total Students / Views: 2,203,238 views

Explore this free video tutorial for Python NumPy Tutorial for Beginners presented by freeCodeCamp.org. This full video course has a total duration of 58:10 minutes with detailed practical demonstrations. Follow along to build your skills without any subscription or sign-up required.

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Course Description & Lesson Notes

Official Video Description:

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. 💻 Code: https://github.com/KeithGalli/NumPy 🎥 Tutorial from Keith Galli. Check out his YouTube channel: https://www.youtube.com/channel/UCq6XkhO5SZ66N04IcPbqNcw ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️ 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?) ⭐️ Links with more info ⭐️ 🔗 NumPy vs Lists: https://www.youtube.com/channel/UC_mmB9WkzXQAQmwj6EPmXQw 🔗 Indexing: https://docs.scipy.org/doc/numpy-1.13.0/user/basics.indexing.html 🔗 Array Creation Routines: https://docs.scipy.org/doc/numpy/reference/routines.array-creation.html 🔗 Math Routines Docs: https://docs.scipy.org/doc/numpy/reference/routines.math.html 🔗 Linear Algebra Docs: https://docs.scipy.org/doc/numpy/reference/routines.linalg.html -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://www.freecodecamp.org/news

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Python NumPy Tutorial for Beginners taught by freeCodeCamp.org. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Python NumPy Tutorial for Beginners.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by freeCodeCamp.org with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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