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Project Documentation

Overview

This project provides tools for scientific computing and data analysis.

Installation

<<<<<<< HEAD

Using pip

Install the package using pip:

pip install scientific-tools

For development installation:

git clone https://github.com/user/scientific-tools.git
cd scientific-tools
pip install -e .

=======

Using conda

Install using conda for better dependency management:

conda install -c conda-forge scientific-tools

Or create a new environment:

conda create -n scitools scientific-tools
conda activate scitools

feature-conda-install

Usage

Basic Example

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from scientific_tools import analyze

# Load and analyze data
results = analyze("data.csv", method="advanced")
results.plot()
results.save("output.png")

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import scientific_tools as st

# Simple workflow
data = st.load("data.csv")
results = st.analyze(data)
st.visualize(results)

feature-simple-api

Features

  • Fast numerical computations
  • Interactive visualization
  • Export to multiple formats

License

<<<<<<< HEAD This project is licensed under the MIT License - see LICENSE file for details.

Licensed under the Apache 2.0 License. See LICENSE for more information.

update-license

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

View source
1 # Project Documentation
2
3 ## Overview
4
5 This project provides tools for scientific computing and data analysis.
6
7 ## Installation
8
9 <<<<<<< HEAD
10 ### Using pip
11
12 Install the package using pip:
13
14 ```bash
15 pip install scientific-tools
16 ```
17
18 For development installation:
19
20 ```bash
21 git clone https://github.com/user/scientific-tools.git
22 cd scientific-tools
23 pip install -e .
24 ```
25 =======
26 ### Using conda
27
28 Install using conda for better dependency management:
29
30 ```bash
31 conda install -c conda-forge scientific-tools
32 ```
33
34 Or create a new environment:
35
36 ```bash
37 conda create -n scitools scientific-tools
38 conda activate scitools
39 ```
40 >>>>>>> feature-conda-install
41
42 ## Usage
43
44 ### Basic Example
45
46 <<<<<<< HEAD
47 ```python
48 from scientific_tools import analyze
49
50 # Load and analyze data
51 results = analyze("data.csv", method="advanced")
52 results.plot()
53 results.save("output.png")
54 ```
55 =======
56 ```python
57 import scientific_tools as st
58
59 # Simple workflow
60 data = st.load("data.csv")
61 results = st.analyze(data)
62 st.visualize(results)
63 ```
64 >>>>>>> feature-simple-api
65
66 ## Features
67
68 - Fast numerical computations
69 - Interactive visualization
70 - Export to multiple formats
71
72 ## License
73
74 <<<<<<< HEAD
75 This project is licensed under the MIT License - see LICENSE file for details.
76 =======
77 Licensed under the Apache 2.0 License. See LICENSE for more information.
78 >>>>>>> update-license
79
80 ## Contributing
81
82 We welcome contributions! Please see CONTRIBUTING.md for guidelines.