Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 796.54 MB | 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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