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What is it like to use the Python programming language to learn linear algebra? Watch this short course and find out!

No previous experience necessary! Not with coding, not with linear algebra. All you need is 2-3 hours of time and an interest in learning something new.

By the end of this course, you will know whether (1) you want to continue learning math using Python (or any other coding language), or (2) this isn’t the right path for you, in which case better to find out this way than after spending a ton of money, time, and frustration!

TABLE OF CONTENTS FOR VIDEO SEGMENTS

00:00:00 — Introduction

00:02:10 — Getting started with Python

00:08:52 — Variables and arithmetic

00:21:39 — The numpy module

00:31:14 — The matplotlib module

00:44:36 — Vectors and scalar multiplication

00:58:26 — The vector dot product

01:07:32 — Matrices

01:17:45 — Transposing vectors and matrices

01:27:56 — Matrix multiplication

01:39:18 — The matrix inverse

#python

1619518440

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

…

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

**Lambda function in python**: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

**Syntax: x = lambda arguments : expression**

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

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Because I am continuously endeavouring to improve my knowledge and skill of the Python programming language, I decided to take some free courses in an attempt to improve upon my knowledge base. I found one such course on linear algebra, which I found on YouTube. I decided to watch the video and undertake the course work because it focused on the Python programming language, something that I wanted to improve my skill in. Youtube video this course review was taken from:- (4) Python for linear algebra (for absolute beginners) — YouTube

The course is for absolute beginners, which is good because I have never studied linear algebra and had no idea what the terms I would be working with were.

Linear algebra is the branch of mathematics concerning linear equations, such as linear maps and their representations in vector spaces and through matrices. Linear algebra is central to almost all areas of mathematics.

Whilst studying linear algebra, I have learned a few topics that I had not previously known. For example:-

A scalar is simply a number, being an integer or a float. Scalers are convenient in applications that don’t need to be concerned with all the ways that data can be represented in a computer.

A vector is a one dimensional array of numbers. The difference between a vector is that it is mutable, being known as dynamic arrays.

A matrix is similar to a two dimensional rectangular array of data stored in rows and columns. The data stored in the matrix can be strings, numbers, etcetera.

In addition to the basic components of linear algebra, being a scalar, vector and matrix, there are several ways the vectors and matrix can be manipulated to make it suitable for machine learning.

I used Google Colab to code the programming examples and the assignments that were given in the 1 hour 51 minute video. It took a while to get into writing the code of the various subjects that were studied because, as the video stated, it is a course for absolute beginners.

The two main libraries that were used for this course were numpy and matplotlib. Numpy is the library that is used to carry out algebraic operations and matplotlib is used to graphically plot the points that are created in the program.

#numpy #matplotlib #python #linear-algebra #course review: python for linear algebra #linear algebra

1602968400

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more *readable* and *efficient* way like a pro.

**Swapping value in Python**

Instead of creating a **temporary** variable to hold the value of the one while **swapping**, you can do this instead

```
>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName
>>> print(FirstName, LastName)
('Jordan', 'kalebu')
```

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development

1602666000

Today you’re going to learn how to use **Python programming** in a way that can ultimately save a lot of space on your *drive* by removing all the duplicates.

In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can *tedious*.

**Heres a solution**

Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.

**But How do we do it?**

If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?

The answer is hashing, with *hashing* can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.

There’s a variety of **hashing algorithms** out there such as

- md5
- sha1
- sha224, sha256, sha384 and sha512

#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips