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100 results

Craig Piercy
Python built-in function: map()

What is `map()`? It's a built-in Python function that applies a given function to every item in an iterable, returning a map object (an ...

5:21
Python built-in function: map()

144 views

10 months ago

Cours Python
5.2 Objet fonction, fonction lambda, map et filter

En Python moderne, on préfère utiliser les compréhensions de liste aux fonctions map et filter. Dans cette vidéo, nous avons vu la ...

8:43
5.2 Objet fonction, fonction lambda, map et filter

3,552 views

8 years ago

Lisa DeBruine
Map and Apply

Use the map and apply functions to run functions over a range of argument values.

10:22
Map and Apply

295 views

5 years ago

Code Lab
Lambda expressions

Lambda expessions are one use calculator which can calculate multiple numbers at a time. For example:- my_nums = [1,2,3,4,5,6 ...

4:35
Lambda expressions

37 views

4 years ago

BiswasXTech
💡Powers of 2 in Python Using Lambda Function ⚡ No Loop Needed

Learn Python the Smart Way! In this quick tutorial, you'll discover how to generate powers of 2 using a sleek lambda function—no ...

10:23
💡Powers of 2 in Python Using Lambda Function ⚡ No Loop Needed

12 views

4 months ago

Neo4j
Creating and Manipulating Data-Structures (Map, Dict, Hash) with APOC (#7)

While Cypher can create and use literal maps/documents, APOC adds functions to create and update them dynamically and also ...

14:44
Creating and Manipulating Data-Structures (Map, Dict, Hash) with APOC (#7)

3,703 views

7 years ago

OpenMDAO
Fitting tabular data using smooth curve fits

If you're fitting a curve or surface to data and want to ever use gradient-based optimizers or Newton solvers, make sure to do it in a ...

7:03
Fitting tabular data using smooth curve fits

963 views

3 years ago

weecology
Exploring lagged correlations between different time series

Autocorrelation pt7. As a fun aside, we will use some of the concepts we've learned about in the context of autocorrelation to learn ...

6:24
Exploring lagged correlations between different time series

32,982 views

5 years ago

The Digital Cat
Object-oriented programming in Python - Part 1 - Basic concepts

Welcome to a new series of videos on the Python programming language. This time I want to tackle OOP, Object-oriented ...

8:15
Object-oriented programming in Python - Part 1 - Basic concepts

668 views

6 years ago

makingthematrix
Programming with Functions #5 - Immutability

Immutability and pączki. And how do you think, where is the border? Where do you decide that enough is enough and reach for ...

12:42
Programming with Functions #5 - Immutability

940 views

4 years ago

makingthematrix
Programming with Functions #8: Monads

Monads. The you know what. That dreaded word. Monoids in the category of endofunctors. Burritos with rules. They have a bad ...

11:47
Programming with Functions #8: Monads

1,213 views

4 years ago

parlough
How to Iterate over Keys and Values in a Java Map

Learn with me as I go over how to access both the key and the value as you loop over a map in #Java. I hope you found this video ...

5:45
How to Iterate over Keys and Values in a Java Map

101 views

5 years ago

Edi Walger
F*cking Hue vs Sat in HSV model (EN subs)

How to quickly create a "Hue versus Sat" curve, but in HSV model. 00:00 Intro 1:00 Creating a Hue ramp 3:45 The "Divide ...

18:30
F*cking Hue vs Sat in HSV model (EN subs)

2,149 views

3 years ago

J David Eisenberg
Chapter 2: Arithmetic operations in Python

A summary of arithmetic and order of operations.

6:17
Chapter 2: Arithmetic operations in Python

422 views

7 years ago

J David Eisenberg
Chapter 10: Nested Lists

Working with lists inside lists.

6:50
Chapter 10: Nested Lists

1,033 views

7 years ago

Machine Learning Practice
For Loops with Zip

Zip adds functionality that allows us to pair up elements from two or more lists (combined elements are "tuples"). We can then ...

6:26
For Loops with Zip

222 views

3 years ago

Lars Juhl Jensen
The dark side of STRING visualization: Bad network figures in omics papers and how to do better

A look at the dark side of how the STRING database is used to create network figures in omics publications. The presentation ...

4:24
The dark side of STRING visualization: Bad network figures in omics papers and how to do better

3,337 views

4 years ago

COMPUTER & EXCEL SOLUTION
Predefined function filter in Python@COMPUTEREXCELSOLUTION

Join this channel to get access to perks: https://www.youtube.com/channel/UC4C_tfy6WLDxzVVO3y6YinA/join This is my ...

4:41
Predefined function filter in Python@COMPUTEREXCELSOLUTION

27 views

3 years ago

NPTEL IIT Bombay
Week 3: Tutorial 3

Week 3: Tutorial 3.

8:39
Week 3: Tutorial 3

646 views

3 years ago

Metware Biotechnology
Metware tools video series - Lesson 1: Cluster Heatmap

The Metware Cloud Platform is a powerful data analysis platform developed by Metware Biotechnology, the professional ...

5:29
Metware tools video series - Lesson 1: Cluster Heatmap

234 views

2 years ago