Jaimin Bhavsar

Jaimin Bhavsar

1590141210

Exploring Modern Fortran Basics

Fortran has come a long way since IBM first developed it in 1956. Flexible, powerful, and high performing, this general purpose programming language remains the dominant one in the field of scientific and engineering applications. Continuously improving, the latest version of Fortran includes new parallel features and improved interoperability with C. As more and more data is generated every day, parallel programming has become vital to modern computing, making modern Fortran more relevant than ever!

About the book

Exploring Modern Fortran Basics presents three chapters from Modern Fortran: Building Efficient Parallel Applications by meteorologist, oceanographer, and Fortran programmer, Milan Curcic. Inside, you’ll learn the core features of modern Fortran as you build a simple tsunami simulator. First you’ll master the basics, including variables, data types, control flow, and arithmetic operations and assignments. Then you’ll add complexity to your program with Fortran’s functions and subroutines, the building blocks that enable us to define self-contained and reusable nuggets of code. In the last chapter, you’ll advance to using Fortran modules for organizing your code in a meaningful way as well as making them accessible for use in programs, procedures, or other modules. At the end of this practical guide, you’ll have a working Fortran program and valuable basic Fortran skills!

#javascript #programming #developer #python

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Exploring Modern Fortran Basics
Abigale  Yundt

Abigale Yundt

1601149860

66 Years of Fortran — Dead or Alive?

ne of the oldest guards of programming language, created in 1954 with a commercial release in 1957, Fortran was started as IBM’s mathematical translation system — aka FORmula TRANslation for its 704 computer. Designed by a team led by computer scientist John Backus, Fortran was developed to work on computably heavy applications like astrophysics or weather prediction.

Traditionally, programmers and developers used to program in machine assembly code in binary, which was not only difficult but extremely time-consuming to debug the code. Thus, Fortran was developed as the first high-level language using a compiler, which was simple to learn and suitable for several applications. Being independent of computer hardware and enabling rapid programming, it marked a significant milestone in the history of computer programming. It also became the preferred language for programming in the late 1950s.

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Fortran code on a punched card in the 1950s


Fortran has been the first language standardised by the American National Standards Institute, thus making it suitable for all sorts of significant investments like high-performance computing software. With that being said, over the years, Fortran has also undergone several updates and advancements to compete with the more contemporary languages of the current date. However, with more emerging languages coming up, Fortran started getting replaced in the academic circles. In fact, despite being groundbreaking at one point, Fortran is hardly being talked about or used in the industry today and doesn’t even land on the list of the top programming languages to learn in the current times. This raises an interesting question — now 66 years down the line, is Fortran dead in 2020?

Also Read: Why Should You Learn Python For Data Science?


#opinions #c++ #c++ india #c++ libraries #c++ vs fortran #dying programming languages #fortran #fortran dead or alive #is fortran alive #is fortran still important #old programing language #programming languages #tribute to fortran

Biju Augustian

Biju Augustian

1574339995

Learn Python Tutorial from Basic to Advance

Description
Become a Python Programmer and learn one of employer’s most requested skills of 21st century!

This is the most comprehensive, yet straight-forward, course for the Python programming language on Simpliv! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. (Note, we also provide older Python 2 notes in case you need them)

With over 40 lectures and more than 3 hours of video this comprehensive course leaves no stone unturned! This course includes tests, and homework assignments as well as 3 major projects to create a Python project portfolio!

This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!

We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we’ve got you covered!

We cover a wide variety of topics, including:

Command Line Basics
Installing Python
Running Python Code
Strings
Lists
Dictionaries
Tuples
Sets
Number Data Types
Print Formatting
Functions
Scope
Built-in Functions
Debugging and Error Handling
Modules
External Modules
Object Oriented Programming
Inheritance
Polymorphism
File I/O
Web scrapping
Database Connection
Email sending
and much more!
Project that we will complete:

Guess the number
Guess the word using speech recognition
Love Calculator
google search in python
Image download from a link
Click and save image using openCV
Ludo game dice simulator
open wikipedia on command prompt
Password generator
QR code reader and generator
You will get lifetime access to over 40 lectures.

So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Basic knowledge
Basic programming concept in any language will help but not require to attend this tutorial
What will you learn
Learn to use Python professionally, learning both Python 2 and Python 3!
Create games with Python, like Tic Tac Toe and Blackjack!
Learn advanced Python features, like the collections module and how to work with timestamps!
Learn to use Object Oriented Programming with classes!
Understand complex topics, like decorators.
Understand how to use both the pycharm and create .py files
Get an understanding of how to create GUIs in the pycharm!
Build a complete understanding of Python from the ground up!

#Learn Python #Learn Python from Basic #Python from Basic to Advance #Python from Basic to Advance with Projects #Learn Python from Basic to Advance with Projects in a day

Exploration in data science : vital, risky and yet neglected?

Why do we need to explore?

Whether during a PoC before launching a new product or when looking for improvements to an existing product, exploration is an essential step in a data science project. In particular, it should help to find out whether it is reasonable to invest time and money to solve a new problem. It also aims at prioritizing the work to be done in order to achieve a valuable product.

Why is it risky?

After the exploration phase one should have sufficient insights to decide to invest or not in the project and have an idea of risks. But to get those insights, it is sometimes necessary to go through time-consuming, even potentially infinite, tasks (there is always something to explore or test). However, the longer the exploration takes, the more the delivery is postponed and the less are the chances of other products being launched.

It therefore seems necessary to establish an exploration strategy.

How to go about it ?

Let’s start with an example

Before getting started, let’s consider Glasses for you! , an imaginary company selling sunglasses through its website and mobile app.

At the very start of Glasses for you, the business team wanted to know which customers to target first in marketing campaigns. The original wording of the requirement was approximately as follows:

“We want the data team to develop a model that can predict for each customer their likelihood of conversion.”

The data team in charge of that project was voluntary and expert in machine learning, deep learning and statistics. Yet it was a failure, the exploration phase was long, the results were insufficient to validate the PoC, the project was abandoned and the company wasted both time and money.

Using this fictitious example, I’ll present some ideas to make it easier to explore data science solutions while reducing disaster risk. Many of the tools I will talk about have been inspired by blog posts and articles (see references below), as well as by my own experience as a data scientist consultant.

#data #data-driven #mlops #data-science #exploration #exploration

Alisha  Larkin

Alisha Larkin

1624689723

Basic HTML file

<!DOCTYPE html>
<! — change the language if needed set to English→
<html lang=”en”>
<head>
<! — any meta data you need →
<meta/>
<title>Sample HTML</title>
<! — link style sheets or style packages →
<link />
</head>
<body>
<! — this script tag is set to defer or run after page lodes→
<script defer></script>
<div id=”root”>
</div>
</body>
<footer>
<p>copyright ©</p>
</footer>
</html>

#code #html #development #basic #basic html

Jaimin Bhavsar

Jaimin Bhavsar

1590141210

Exploring Modern Fortran Basics

Fortran has come a long way since IBM first developed it in 1956. Flexible, powerful, and high performing, this general purpose programming language remains the dominant one in the field of scientific and engineering applications. Continuously improving, the latest version of Fortran includes new parallel features and improved interoperability with C. As more and more data is generated every day, parallel programming has become vital to modern computing, making modern Fortran more relevant than ever!

About the book

Exploring Modern Fortran Basics presents three chapters from Modern Fortran: Building Efficient Parallel Applications by meteorologist, oceanographer, and Fortran programmer, Milan Curcic. Inside, you’ll learn the core features of modern Fortran as you build a simple tsunami simulator. First you’ll master the basics, including variables, data types, control flow, and arithmetic operations and assignments. Then you’ll add complexity to your program with Fortran’s functions and subroutines, the building blocks that enable us to define self-contained and reusable nuggets of code. In the last chapter, you’ll advance to using Fortran modules for organizing your code in a meaningful way as well as making them accessible for use in programs, procedures, or other modules. At the end of this practical guide, you’ll have a working Fortran program and valuable basic Fortran skills!

#javascript #programming #developer #python