semvec/pypi-packages huggingface dataset:
thonny-subway-surfers 1.0.0
This plugin seamlessly integrates Subway Surfers gameplay into your Thonny IDE.
Requires Python: >=3.7
Keywords: subway surfers,thonny,bored,gameplay,plugin

### **Thonny Subway Surfers Plugin for [Thonny](https://thonny.org)**
Add a dash of excitement to your coding routine! This plugin is designed for those moments when you need a break from your code and want to indulge in some fun. Enjoy Subway Surfers gameplay right next to your code editor.


**Features:**

- Toggle Subway Surfers gameplay on the side of the code editor.
- Seamless integration with the Thonny IDE.
- Elevate your coding sessions with a fun distraction.

**How to Install:**

1. Download the `thonny-subway-surfers-1.0.0.tar.gz` file from the releases.
2. Open Thonny and navigate to `Tools` >> `Manage plug-ins` >> `Install from local file`.
3. Select the downloaded `thonny-subway-surfers-1.0.0.tar.gz` file and click **`OK`**.
4. Wait for Thonny to complete the extraction.
5. Restart Thonny to apply the changes.
6. Find the Subway Surfers option in the `View` tab and toggle it on.
7. On first boot the plugin has to download a media file.
8. After the download click **`OK`** to start enjoying the gameplay.

**OR** 

1. Open Thonny and navigate to `Tools` >> `Manage plug-ins`.
2. Select the search bar and type `thonny-subway-surfers`.
3. Find the PyPi package and click **`Install`**.
4. Wait for Thonny to complete the Installation.
5. Restart Thonny to apply the changes.
6. Find the Subway Surfers option in the `View` tab and toggle it on.
7. On first boot the plugin has to download a media file.
8. After the download click **`OK`** to start enjoying the gameplay.

**Requirements:**

- Require Thonny ≥ [v4.1.4](https://github.com/thonny/thonny/releases/tag/v4.1.4)
- Require Pillow ≥ [v10.2.0](https://github.com/python-pillow/Pillow/releases/tag/10.2.0)
stochastic-processes-lecture-notes-ucb-stat150 2024.3.4.0
Stochastic Processes Lecture Notes (UCB STAT150)
Requires Python: >=3.6

# Stochastic Processes Lecture Notes (UCB STAT150)

## 下载

### Docker

```
docker pull apachecn0/stochastic-processes-lecture-notes-ucb-stat150
docker run -tid -p <port>:80 apachecn0/stochastic-processes-lecture-notes-ucb-stat150
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install stochastic-processes-lecture-notes-ucb-stat150
stochastic-processes-lecture-notes-ucb-stat150 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g stochastic-processes-lecture-notes-ucb-statyiwuling
stochastic-processes-lecture-notes-ucb-statyiwuling <port>
# 访问 http://localhost:{port} 查看文档
```
statistical-learning-theory-notes-stanford-cs229t-stat231 2024.3.4.0
Statistical Learning Theory Notes (Stanford CS229T STAT231)
Requires Python: >=3.6

# Statistical Learning Theory Notes (Stanford CS229T STAT231)

## 下载

### Docker

```
docker pull apachecn0/statistical-learning-theory-notes-stanford-cs229t-stat231
docker run -tid -p <port>:80 apachecn0/statistical-learning-theory-notes-stanford-cs229t-stat231
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install statistical-learning-theory-notes-stanford-cs229t-stat231
statistical-learning-theory-notes-stanford-cs229t-stat231 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g statistical-learning-theory-notes-stanford-csererjiut-statersanyi
statistical-learning-theory-notes-stanford-csererjiut-statersanyi <port>
# 访问 http://localhost:{port} 查看文档
```
statistical-inference-for-data-science 2024.3.4.0
Statistical inference for data science
Requires Python: >=3.6

# Statistical inference for data science

## 下载

### Docker

```
docker pull apachecn0/statistical-inference-for-data-science
docker run -tid -p <port>:80 apachecn0/statistical-inference-for-data-science
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install statistical-inference-for-data-science
statistical-inference-for-data-science <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g statistical-inference-for-data-science
statistical-inference-for-data-science <port>
# 访问 http://localhost:{port} 查看文档
```
state-estimation-for-robotics 2024.3.4.0
State Estimation for Robotics
Requires Python: >=3.6

# State Estimation for Robotics

## 下载

### Docker

```
docker pull apachecn0/state-estimation-for-robotics
docker run -tid -p <port>:80 apachecn0/state-estimation-for-robotics
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install state-estimation-for-robotics
state-estimation-for-robotics <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g state-estimation-for-robotics
state-estimation-for-robotics <port>
# 访问 http://localhost:{port} 查看文档
```
stackoverflow-about-python-zhongwenban 2024.3.4.0
Stackoverflow about Python 中文版
Requires Python: >=3.6

# Stackoverflow about Python 中文版

## 下载

### Docker

```
docker pull apachecn0/stackoverflow-about-python-zhongwenban
docker run -tid -p <port>:80 apachecn0/stackoverflow-about-python-zhongwenban
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install stackoverflow-about-python-zhongwenban
stackoverflow-about-python-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g stackoverflow-about-python-zhongwenban
stackoverflow-about-python-zhongwenban <port>
# 访问 http://localhost:{port} 查看文档
```