semvec/pypi-packages huggingface dataset:
plotstats 1.0.14
A basic module for statistic works!
Requires Python: >=3.6
Keywords: python,statistics,visualization,data grouping,plenty,relative plenty,batch centers

This is a basic module for basic statistic works.
created by: Amirreza  Soltani
I've created this module for my math homeworks! but I thought it's better to publish this module for my classmates!
But other people may use it; I'm not sure :)
inversion-test-problems 0.0.33
A suite of forward codes for inversion testing.

# Inversion Test Problems


Inversion Test Problems (ITP) is a collection of clearly defined forward codes that simulate a wide range of geophysical processes. The goal of ITP is to bring together people developing physical simulations with those who need them. ITP's simple and consistent code structure enables users to acces a wide range of different forward code and contributers to share their solutions with a wider audience. For more information, please visit our documentation (coming soon).


# Installation

It is recommended to use a clean virtual environment for the install:

```console
conda create -n ITP_env scipy jupyterlab numpy matplotlib
conda activate ITP_env
```

`Inversion Test Problems` is available on PyIP and can be installed using this command:

Linux/MacOS
```console
python3 -m pip install --index-url https://test.pypi.org/simple/ inversiontestproblems-h-hollmann
```

Windows:
```console
py -m pip install --index-url https://test.pypi.org/simple/ inversiontestproblems-h-hollmann
```

# Basic usage

Once installed, each test problem can be imported using the following command:

```console
from inversiontestproblems import testproblem
```

Replace ``testproblem`` with one of the following currently available problems:

- ``gravityforward``:

Once a problem is imported, it's main functions can be called using the same structure for each problem. For more information for each function please use help():

```console

from inversiontestproblems import testproblem

tp = testproblem()

model=tp.get_model()

data=tp.get_data()

synthetic_data = tp.forward(model)

jacobian=tp.gradient(model)

tp.plot_model()

```

Other problem-specific values can be accessed through the 'testproblem' object, such as:

```console

tp.rec_coords # coordinates of recording locations

tp.x_nodes # x-coordinates of all nodes of the model

```

Which additional values are set is highly example-specific and we suggest to use 'help(tp)' or 'dir(tp)' to quickly see what is available, or consult the Inversion Test Suite Documentation (coming soon).
inversion-test-test 0.0.33
A suite of forward codes for inversion testing.

# Inversion Test Problems


Inversion Test Problems (ITP) is a collection of clearly defined forward codes that simulate a wide range of geophysical processes. The goal of ITP is to bring together people developing physical simulations with those who need them. ITP's simple and consistent code structure enables users to acces a wide range of different forward code and contributers to share their solutions with a wider audience. For more information, please visit our documentation (coming soon).


# Installation

It is recommended to use a clean virtual environment for the install:

```console
conda create -n ITP_env scipy jupyterlab numpy matplotlib
conda activate ITP_env
```

`Inversion Test Problems` is available on PyIP and can be installed using this command:

Linux/MacOS
```console
python3 -m pip install --index-url https://test.pypi.org/simple/ inversiontestproblems-h-hollmann
```

Windows:
```console
py -m pip install --index-url https://test.pypi.org/simple/ inversiontestproblems-h-hollmann
```

# Basic usage

Once installed, each test problem can be imported using the following command:

```console
from inversiontestproblems import testproblem
```

Replace ``testproblem`` with one of the following currently available problems:

- ``gravityforward``:

Once a problem is imported, it's main functions can be called using the same structure for each problem. For more information for each function please use help():

```console

from inversiontestproblems import testproblem

tp = testproblem()

model=tp.get_model()

data=tp.get_data()

synthetic_data = tp.forward(model)

jacobian=tp.gradient(model)

tp.plot_model()

```

Other problem-specific values can be accessed through the 'testproblem' object, such as:

```console

tp.rec_coords # coordinates of recording locations

tp.x_nodes # x-coordinates of all nodes of the model

```

Which additional values are set is highly example-specific and we suggest to use 'help(tp)' or 'dir(tp)' to quickly see what is available, or consult the Inversion Test Suite Documentation (coming soon).
ljtool 0.0.3
工具库

## xlinjietool
- 打造集成工具库
---
### 总览
- amazon(亚马逊解析)
- db(数据库)
- headers(header头解析)
#### amazon(亚马逊解析)
> 各个站点日期解析<br>
> 站点链接组装<br>
#### db(数据库)
> es<br>
> redis<br>
> mysql<br>
#### headers(header头解析)
> 把web复制的headers解析成为json