Watch 1.6 Vectors with Numpy in Python | Array | Data science and analysis course | Tutorial Video Tutorial


Tutorial Details & Info

Tutorial Title: 1.6 Vectors with Numpy in Python | Array | Data science and analysis course | Tutorial
Instructor / Channel: RVStats Consulting
Lesson Runtime: 08:04 Minutes
Publish Date: May 19, 2021
Total Students / Views: 1,717 views

Watch and learn 1.6 Vectors with Numpy in Python | Array | Data science and analysis course | Tutorial presented by RVStats Consulting. The total lesson runtime is 08:04 minutes providing step-by-step visual instructions. Access this full online lesson today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

In this episode in the crash course tutorial of statistics and data science with Python we'll discuss the creation and manipulation of vectors in Python. Additionally, we discuss among others: -. What is a vector? why to use vectors? -. Definition, creating and properties -. List as vectors -. Using numpy to create vectors froms arrays -. Size and dimension of a vector -. Using the function reshape for transforming the vector dimensions -. Mathematical operations with vectors: sum, subtraction, dot product, scalar -. Vertical and horizontal vectors Dictionaries in Python: https://youtu.be/C6Y5GvV8nOU Range and sequences in Python : https://youtu.be/hmOBfqKaC5g Tuples, sets and vectors in Python : https://youtu.be/2U8fInYd6lc Create List: https://youtu.be/m9ln3Y4x6Lk Any comment or suggestion is welcome Contact: inforvstats@gmail.com ## Twitter : https://twitter.com/raulvaleriom ## Tutorial course in Python https://www.youtube.com/playlist?list=PLgedSm0esItVLLtlAIGlhGYRDcJvT_NLL ## More Python videos and machine learning https://www.youtube.com/playlist?list=PLgedSm0esItUGSL3F6RyO_s7U7mZO5gwl Learn python from zero # beginner ## Learning ## Statistical analysis dictionary map dataframe index model ## Factor, vector, list, jupyter, notebook, spyder # list of lists sort append index pop ## input and output # data mining ## Machine learning and supervised learning

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πŸŽ“ Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for 1.6 Vectors with Numpy in Python | Array | Data science and analysis course | Tutorial taught by RVStats Consulting. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

πŸ’‘ Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for 1.6 Vectors with Numpy in Python | Array | Data science and analysis course | Tutorial.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by RVStats Consulting 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.

πŸ“‹ 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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