| 开发人员: | Yasushi Obata (8) | ||
| 价格: | $14.99 | ||
| 排名: | 0 | ||
| 评价: | 0 我要评价 | ||
| 列表: | 0 + 0 | ||
| 积分: | 0 + 0 ¡ | ||
| 积分 +1 | |||
说明
Acquired Two Major Modules, NumPy and Matplotlib.
they will help you to study
DataScience, DeepLearning, ReinforcementLearning.
it's like King Jesus sent twelve disciples out two by two.
**Mark 6:7;12-13, GNT
6:7 He called the twelve disciples together and sent them out two by two. He gave them authority over the evil spirits.
6:12 So they went out and preached that people should turn away from their sins.
6:13 They drove out many demons, and rubbed olive oil on many sick people and healed them.
**** How to Use it;
1) First, Touch "Add Tutorial" at the BottomLeft of ProjectsView.
2) Touch "TutorialSeason006" at ProjectsView.
3) Choose One of Four at ScriptsView.
s001PILimageFontTest.py; This doesNot use Matplotlib but uses only Matplotlib TTF(TrueTypeFonts).
s002matplotlibPltPlot.py
s003matplotlibPltLegend.py
s004BarChartOnPolarAxis.py
4) Touch "RunScript" at the TopRight of EditScriptView.
5) Only for the first time, the warning that "AppleMetal Cache Directory doesNot Exist" appears,
Once needs to go back to EditScriptView,
and then touch "RunScript" at the TopRight of EditScriptView Again.
6) the script is Executed at RunScriptView.
****
Enjoy NumPy, Enjoy Matplotlib
Enjoy DataScience, DeepLearing, ReinforcementLearing.
Enjoy PeterJohnNumPyMatplotlib
--Yasushi Yassun Obata
屏幕截图
新版变化
- 版本: 2023.1223.1902
- 已更新:
- "LSTMtrainingMatplotlibPyPlot" Version;
we Added an Example which shows LSTM Training Result Using "matplotlib.pyplot".
Please Check the example Below.
TutorialSeason006/scripts/s006LSTMtrainingMatplotlibPyPlot.py
Enjoy DeepLearning,
Enjoy NumPy,
Enjoy PeterJohnNumPyMatplotlib.
--Yassun
价格
- 今天: $14.99
- 最小值: $14.99
- 最大值: $14.99
可选
开发人员
- Yasushi Obata
- 平台: iOS 应用 (7) iOS 游戏 (1)
- 列表: 0 + 0
- 积分: 0 + 0 ¡
- 排名: 0
- 评价: 0
- 折扣: 0
- 视频: 0
- RSS: 订阅
积分
未找到 ☹️
排名
未找到 ☹️
列表
未找到 ☹️
评价
抢先评价一下吧 🌟
其他信息
您可能还喜欢
-
- Python Editor - .py Editor
- iOS 应用: 软件开发工具 来自: Julian Lau
- 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 1 (5.0) 版本: 1.1.0 Python Editor is a simple and powerful app for creating, editing, and saving Python files on your device. With its user-friendly interface and essential features such as syntax ... ⥯
-
- BLE Spy
- iOS 应用: 软件开发工具 来自: Peter Gasche
- $4.99
- 列表: 1 + 0 排名: 0 评价: 0
- 积分: 0 + 4 (4.8) 版本: 1.2.5 A professional utility to examine and control Bluetooth Low Energy devices. Apart from standard features BLE Spy has some unique capabilities in particular for developers. Standard ... ⥯
-
- SimpleGPSApp Lesson 01
- iOS 应用: 软件开发工具 来自: John Avatar
- 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 2 + 0 版本: 3 GREAT FUN - GPS 3D MapKit & Speedometer iOS Project - showing RAW GPS Speed of MTS (Meters per Second) & hundredths MPH & KMPH! On the way to Full Level 5 Self Driving for a new EV we ... ⥯
-
- ChatOnMac.com — AI Chat Bots
- iOS 应用: 软件开发工具 来自: John A Ehlke
- 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 1 (1.0) 版本: 1.0.3 Your bots, your rules. Includes local, private AI models like Llama, Mistral, StableLM and cutting-edge APIs. Chat by typing or talking with bots using the same technology as the ... ⥯
-
- Pyto IDE
- iOS 应用: 软件开发工具 来自: Develobile S.p.A.
- * 免费
- 列表: 5 + 3 排名: 0 评价: 0
- 积分: 16 + 922 (3.7) 版本: 19.0.1 Pyto is an IDE for iPhone and iPad with a Python 3.10 Interpreter and all of the standard libraries plus more than 100 third party packages, as well as a C & C++ compiler and bitcode ... ⥯
-
- Juno – Python and Jupyter
- iOS 应用: 软件开发工具 来自: Rational Matter
- * 免费
- 列表: 4 + 4 排名: 0 评价: 0
- 积分: 6 + 868 (4.7) 版本: 3.5.0 Zero-setup Python environment and developer toolbox in a first-class citizen app for iPad and iPhone. Juno is designed to cover all your Python coding needs, and will work seamlessly ... ⥯
-
- PyCode: Python Coding
- iOS 应用: 软件开发工具 来自: 志鹏 潘
- * 免费
- 列表: 1 + 1 排名: 0 评价: 0
- 积分: 13 + 166 (4.8) 版本: 1.10 PyCode: Your Ultimate Python Coding Companion on iOS PyCode brings the power of Python programming right to your fingertips. Whether you're new to Python or working with data analysis ... ⥯
-
- Python Coding Pro: Python 3
- iOS 应用: 软件开发工具 来自: 婉媚 邵
- $9.99
- 列表: 1 + 0 排名: 0 评价: 0
- 积分: 12 + 39 (5.0) 版本: 1.2.2 Python Coding Pro: Python 3 is your complete Python coding environment for iPhone and iPad. Whether you're just getting started or already writing scripts, this app gives you a fast, ... ⥯
-
- Carnets - Jupyter
- iOS 应用: 软件开发工具 来自: Nicolas Holzschuch
- 免费
- 列表: 1 + 3 排名: 0 评价: 0
- 积分: 1 + 270 (4.6) 版本: 1.8.4 Jupyter notebooks are a powerful tool used in education and research. You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, ... ⥯
-
- Python3IDE
- iOS 应用: 软件开发工具 来自: 辉 马
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 2 + 3 (2.3) 版本: 1.5 Python3IDE is an offline Python3.7 integrated development environment software with built-in common scientific libraries. It is a powerful helper for you to learn and practice Python. ... ⥯
-
- python3$
- iOS 应用: 软件开发工具 来自: 小文 黄
- $3.99
- 列表: 0 + 1 排名: 0 评价: 0
- 积分: 0 + 19 (4.7) 版本: 5.8 This is an ios python3.13 app,you can learn、code、run、debug、share python3.13 script. Python:3.13.0 OpenCV-4.11.0 scikit_learn-1.7.dev0 Numpy:2.2.0dev Pandas:3.0.0dev scipy:1.15.0dev ... ⥯
-
- PeterJohnPyTorch
- iOS 应用: 软件开发工具 来自: Yasushi Obata
- $19.99
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 0 版本: 2025.0430.1403 Now You Can Use " PyTorch " on your iPhone even when you are in the train or when your iPhone is OffLine. Why we Need " PyTorch " on the Edge Device such as iPhone??; When "Torch" is a ⥯
-
- Jupyter Notebook - JuNote
- iOS 应用: 软件开发工具 来自: FREE AI UTILS COMPANY LIMITED
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 1 + 10 (5.0) 版本: 1.0.7 Jupyter Notebook - JuNote A zero-setup Python environment & developer toolbox for mobile devices, designed for data analysis, machine learning, and software development. Key Features: ... ⥯
-
- Python3 IDE Fresh Edition
- iOS 应用: 软件开发工具 来自: 娜 陈
- * 免费
- 列表: 0 + 0 排名: 0 评价: 0
- 积分: 0 + 392 (4.5) 版本: 2.7 This is an ios python3.13 app,you can learn,code,run,debug,share python3.13 script. Python:3.13.0 OpenCV-4.11.0 scikit_learn-1.7.dev0 Numpy:2.2.0dev Pandas:3.0.0dev scipy:1.15.0dev ... ⥯