In this video, numpy.random.default_rng() and numpy.random.seed() is explained thoroughly and from scratch in Python programming language. Both of the are used for controlling randomness and for reproducibility purpose in Python programming
⏱TIMESTAMPS⏱
0:00 - Intro Video
0:13 - A Warning
0:37 - What is the use of random seed?
2:30 - an example with numpy.random.randint python
3:25 - numpy random seed python + random seed meaning
4:52 - numpy random default_rng() python
6:35 - random seed in np.random.default_rng python
7:39 - a Note!
8:23 - generating random numbers from normal distribution with default_rng
🔴 Subscribe for more tutorials like this: [ Ссылка ]
❓ You can ask your questions in the comments below, which I will definitely upload videos for frequently asked questions.
my Python tutorial Playlist
===============================
[ Ссылка ]
my matplotlib tutorial Playlist
===============================
[ Ссылка ]
RELATED videos
===============================
➥ Start your coding in Google Colab !: [ Ссылка ]
➥ How to install python 3.9.1 on windows 10 | (64 bit and 32 bit): [ Ссылка ]
➥ How to install PyCharm IDE for python: [ Ссылка ]
➥ Install Anaconda Python 3.8 and Jupyter Notebook on windows 10: [ Ссылка ]
Also Recommended!
===============================
➥ how to plot bar chart: [ Ссылка ]
➥ how to plot bar plot + labels: [ Ссылка ]
➥ how to plot bar chart + error bars: [ Ссылка ]
➥ How to install matplotlib, numpy, scipy and pandas in python: [ Ссылка ]
RECENT videos
===============================
[ Ссылка ]
SOCIAL
===============================
📱 Telegram: [ Ссылка ]
📝 There are some cases that you want to control the randomness in your Python programming code. In this video, a detailed explanation is presented for numpy.random.default_rng() and numpy.random.seed() in Python programming language, which is used to control randomness in our code.
▶️ numpy.random.default_rng() documentation:
[ Ссылка ]
==================================
NumPy Tutorial Playlist (NumPy Crash Course):
==================================
[ Ссылка ]
#python_programming #numpy #random_seed
Ещё видео!