Sagemath Master Class: Go From Beginner To Expert

| Size: 796.54 MB[/center]
| Duration: 5h 18m
SAGEMATH programming

What you'll learn

Develop deep programming skills with SAGEMATH

Be able to use SAGEMATH for data science and machine learning

Create a portfolio of many SAGEMATH projects to apply for SAGEMATH jobs

Experience some real world applications of SAGEMATH in solving problems

Requirements

We cover everything from scratch and therefore do not require any prior knowledge of SAGEMATH

Description

SAGEMATH is a must learn skill for anyone who want to develop a career in engineering, science or related fields. Excellent SAGEMATH programming skills is therefore a crucial factor in making or breaking your career.This SAGEMATH course is one of the most comprehensive SAGEMATH course online . This course is designed from a perspective of a student who has no prior knowledge of SAGEMATH and who is a SAGEMATH beginner.SAGEMATH is free, open-source math software that supports research and teaching in algebra, geometry, number theory, cryptography, numerical computation, and related areas.You wlll learn all the important concepts of SAGEMATH, which will allow you to use SAGEMATH during your university tasks or in your daily job.First we will start with an introduction to SAGEMATH covering the installation process and how to use SAGEMATH.Then we will deep dive into what SAGEMATH is capable of.After that we will proceed with programming in the SAGE Interactive Shell.Learn about interfaces such as GP/PARI, GAP, Singular or Maxima.First steps into real programming with SAGEMATH covering Loading and Attaching Sage files. Creating Compiled Code, Standalone Python/Sage Scripts, Data Types, as well as Lists, Tuples, and Sequences, Dictionaries, Sets, Iterators. Loops, Functions, Control Statements, and Comparisons and Profiling.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 SAGEMATH - a computer algebra system

Lecture 3 SAGEMATH vs. alternatives: a comparison

Section 2: Getting Started

Lecture 4 Complete installation guide

Lecture 5 Session running

Lecture 6 Interactive shell

Lecture 7 Jupyter notebook combined with SAGEMATH

Lecture 8 Docs and help

Section 3: Tools and deep dive

Lecture 9 Algebraic, symbolic and numerical tools

Lecture 10 Assignment, equality and arithmetic

Lecture 11 Functions, indentation, and counting

Lecture 12 Basic algebra and calculus

Lecture 13 Plotting

Lecture 14 Basic rings

Lecture 15 Linear algebra

Lecture 16 Polynomials

Lecture 17 Parents, conversion and coercion

Lecture 18 Finite and Abelian groups

Lecture 19 Number theory

Lecture 20 Evaluation and execution

Lecture 21 Algebraic geometry

Lecture 22 Modular forms

Lecture 23 Symbolic-numeric computation

Lecture 24 Interfaces

Lecture 25 Computational Group Theory with GAP

Lecture 26 Probability distribution

Lecture 27 Tables

Section 4: Programming with SAGEMATH

Lecture 28 Loading and attaching files

Lecture 29 Creating compiled code

Lecture 30 Data types

Lecture 31 Lists, tuples, and sequences

Lecture 32 Dictionaries, sets, iterators

Lecture 33 Loops, functions, control statements, comparisons and profiling

Anyone looking to build a strong career in science or engineering through Excellent SAGEMATH coding skills,Anyone wanting to advance their skills of real world problem solving with SAGEMATH based scientific computing










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