Published 2/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.07 GB | Duration: 2h 35m
Python list,Numpy arrays,Multidimensional arrays(ndarray),numpy linspace,numpy arange,numpy shape,numpy slicing
What you’ll learn
Learn how to use Jupyter Notebook through many exercises in this course
Learn basic Python syntax
Learn 8 important Numpy library functions frequently used in Data analysis, Machine –
learning and the general data science through many worked examples
Learn syntax and semantics of the Numpy Library through many worked examples
Requirements
No Programming experience or Mathematical expertise is required for this course. The
course is self sufficient.
Description
Numpy or numerical Python is a fundamental library for numerical computing in Python. In this course, through the knowledge you’ll gather from the numerical computing,you will carry out many exercises in data manipulation from numpy arrays. Numpy is a fundamental package for anyone planning to do Data Analysis,Machine Learning or Data Science as all Scientific Python libraries are built on Numpy and, Numpy has the simplest syntax of all Python scientific libraries. So, Numpy is the best library to start with.In this course, you will create Python lists and carry out data manipulation from the data in those lists and also, convert the Python lists into Numpy arrays for ease and speed of data manipulation. You will create and change array shapes as this is an important aspect you will use later in Data Analysis.In this course you shall do many carefully chosen exercises together with the instructor,starting from the basic to the most practically applicable examples for each section of the course.This course being the founding stone for Python data computation, is well crafted to make sure all the fundamental functions in the Numpy library used very often in Data Analysis and in Machine Learning are exhaustively handled here.The future is data and data is the Gold of today.This course is centered on data manipulation. You shall start off by manipulating data in lists to the more complex 2D and 3D arrays.I am a Computer Scientist of Electrical Engineering background, having taught for more than two decades in the fields of Electrical Engineering and Computer Science in Kenya Government Institutions, have the confidence of teaching Numpy library to world class standards. Thank you very much.
Overview
Section 1: Introduction
Lecture 1 INTODUCTION TO NUMPY. Introduce PYTHON Numpy library to students
Section 2: JUPYTER NOTEBOOK
Lecture 2 Learn why Jupyter Notebook is the best App. for learning Python programming
Section 3: PYTHON LISTS
Lecture 3 PYTHON LIST
Section 4: Numpy Arrays
Lecture 4 1 Dimensional array
Lecture 5 LINSPACE
Lecture 6 ARANGE
Section 5: MULTIDIMENSIONAL ARRAYS
Lecture 7 MULTIDIMENSIONAL ARRAYS
Section 6: Numpy SHAPE function
Lecture 8 Numpy shape function
Section 7: Numpy Reshape function
Lecture 9 Numpy Reshape Function
Section 8: 1D SLICING
Lecture 10 1D SLICING
Section 9: 2D ROW SLICING
Lecture 11 2D ROW SLICING
Section 10: STACK
Lecture 12 STACK
This course is intended for those who want to learn Numpy from scratch, as the first step to,become a professional data analyst or as a first course for machine learning and data science
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