Python NumPy Full Course (2024)
Python NumPy Full Course (2024), available at $19.99, has an average rating of 4.75, with 24 lectures, 6 quizzes, based on 8 reviews, and has 173 subscribers.
You will learn about Learn NumPy for Data Science (2024) Learn NumPy from scratch Acquire essential NumPy skills for numeric and scientific computing Be able to program in NumPy professionally. Practice your skills with 70+ exercises Learn NumPy best practices This course is ideal for individuals who are Get started with NumPy or Those who want to learn NumPy by doing. This course includes 50+ hands-on exercises or Gain a deep understanding of Python NumPy or Python Libraries Beginners It is particularly useful for Get started with NumPy or Those who want to learn NumPy by doing. This course includes 50+ hands-on exercises or Gain a deep understanding of Python NumPy or Python Libraries Beginners.
Enroll now: Python NumPy Full Course (2024)
Summary
Title: Python NumPy Full Course (2024)
Price: $19.99
Average Rating: 4.75
Number of Lectures: 24
Number of Quizzes: 6
Number of Published Lectures: 24
Number of Published Quizzes: 6
Number of Curriculum Items: 30
Number of Published Curriculum Objects: 30
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn NumPy for Data Science (2024)
- Learn NumPy from scratch
- Acquire essential NumPy skills for numeric and scientific computing
- Be able to program in NumPy professionally.
- Practice your skills with 70+ exercises
- Learn NumPy best practices
Who Should Attend
- Get started with NumPy
- Those who want to learn NumPy by doing. This course includes 50+ hands-on exercises
- Gain a deep understanding of Python NumPy
- Python Libraries Beginners
Target Audiences
- Get started with NumPy
- Those who want to learn NumPy by doing. This course includes 50+ hands-on exercises
- Gain a deep understanding of Python NumPy
- Python Libraries Beginners
Welcome to The Complete NumPy Tutorial by Studyopedia.
NumPy is an open-source Python library, that allows you to work with multi-dimensional arrays and matrices, with the mathematical functions operating on these arrays. It stands for Numerical Python and is written in Python and C. It is a Python library for numeric and scientific computing. It consists of multi-dimensional array objects. It is faster with less LOC.
Python NumPy is considered one of the most powerful and top libraries for Data Science. In this course, we have covered over 70 examples to explain every concept of NumPy.
Numpy allows you to perform various operations on Arrays, including
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Array Slicing
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Array Join
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Array Split
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Array Reshape
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Array Indexing
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Array Search
Course Lessons
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NumPy Introduction
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Installing NumPy with pip
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Create NumPy arrays
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Dimensions in NumPy Arrays
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Initialize NumPy Arrays
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Datatypes in NumPy
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NumPy Array Indexing
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NumPy Array Slicing
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NumPy Array Shape
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Reshape a NumPy array
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Iterate NumPy Arrays
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Joining NumPy Arrays
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Split NumPy Array
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Search an Array for a value
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Sorting NumPy Arrays
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Axes in NumPy arrays
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Intersection of NumPy Arrays
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Difference between NumPy arrays
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Arithmetic Operations on NumPy arrays
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Scalar operations on NumPy arrays
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Statistical Operations on NumPy arrays
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Random module in NumPy
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NumPy Logs
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NumPy LCM and HCF
Quiz
We have also provided 6 Online Quizzes to polish your NumPy skills after completing the lessons.
100+ live coding examples are covered to make each lesson easier for the students.
Hit the Enroll button!
Course Curriculum
Chapter 1: NumPy – Introduction & Setup
Lecture 1: NumPy Introduction & Features
Lecture 2: Install NumPy (Set Environment)
Chapter 2: NumPy – Basics
Lecture 1: Create NumPy Arrays
Lecture 2: Dimensions in NumPy Arrays
Lecture 3: Initialize NumPy Arrays
Lecture 4: NumPy DataTypes
Chapter 3: NumPy – Indexing and Slicing
Lecture 1: NumPy Array Indexing
Lecture 2: NumPy Array Slicing
Chapter 4: NumPy – Shape, Reshape, Iterate
Lecture 1: Array Shape
Lecture 2: Reshape a NumPy Array
Lecture 3: Iterate a NumPy Array
Chapter 5: NumPy – Join, Split, Search, Sort
Lecture 1: Join NumPy Arrays
Lecture 2: Split NumPy Arrays
Lecture 3: Search a NumPy Array for a value
Lecture 4: Sort NumPy Arrays
Lecture 5: Axes in NumPy Arrays
Chapter 6: NumPy – Operations
Lecture 1: Intersection of NumPy Arrays
Lecture 2: Difference between NumPy Arrays
Lecture 3: Arithmetic Operations on NumPy arrays
Lecture 4: Scalar Operations on NumPy arrays
Lecture 5: Statistical Operations on NumPy arrays
Chapter 7: NumPy – Miscellaneous
Lecture 1: Random module in NumPy
Lecture 2: NumPy Logs
Lecture 3: NumPy LCM and HCF
Instructors
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Studyopedia Trainings
Studyopedia Team
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 2 votes
- 5 stars: 6 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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