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Commit2ab3a7b

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GITBOOK-6: No subject
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‎docs/SUMMARY.md‎

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*[Visual Python Manual](README.md)
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##GETTING STARTED
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*[Welcome to Visual Python](getting-started/welcome-to-visual-python.md)
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*[How to install](getting-started/how-to-install.md)
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*[Installing FAQ](getting-started/installing-faq.md)
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##Data Analysis
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*[1. Import](data-analysis/1.-import.md)

‎docs/data-analysis/4.-frame/4-3.-frame-sort.md‎

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<figure><imgsrc="../../.gitbook/assets/image (1).png"alt=""><figcaption></figcaption></figure>
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<figure><imgsrc="../../.gitbook/assets/image (1) (1).png"alt=""><figcaption></figcaption></figure>
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1._**Sort Index**_ sets the ascending/descending order of rows or columns.
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2._**Sort Values**_ sorts based on the data entered in each column. You must select one or more columns.
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---
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description:This document will show how to install Visual Python.
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---
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#How to install
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{% hint style="info" %}
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**Visual Python** is an extension to[Jupyter Lab](https://jupyter.org/),[Jupyter Notebook](https://jupyter.org/) and[Google Colab](https://colab.research.google.com/), so you must have one of these environments installed already.&#x20;
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***
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If you prefer a simpler solution, consider[**Visual Python Desktop**](https://visualpython.ai/visualpython-desktop). It will establish an isolated python environment quickly and help you start Visual Python easily.
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{% endhint %}
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###Pip Installation for Jupyter Lab
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**1. Install package from**
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```
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pip install jupyterlab-visualpython
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```
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**2. Activate Visual Python on Jupyter Lab**
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Click orange square button on the right side of the Jupyter Lab side bar.
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###Pip Installation for Jupyter Notebook
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**1. Install package from**
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```
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pip install visualpython
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```
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**2. Enable the package**
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```
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visualpy install
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```
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**3. Activate Visual Python on Jupyter Notebook**
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Click orange square button on the right side of the Jupyter Notebook menu.
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**4. Package Control Info**
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Version Check
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```
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visualpy version
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```
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Version Upgrade
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```
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visualpy upgrade
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```
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&#x20;Uninstall
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```
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visualpy uninstall
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```
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Help Menu
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```
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visualpy help
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```
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###Chrome extension Installation for Google Colab
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**1. Install package from chrome web store**
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{% embed url="https://chrome.google.com/webstore/detail/visual-python-for-colab/ccmkpknjfagaldcgidgcipbpdipfopob" %}
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Visual Python for Colab on chrome web store
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{% endembed %}
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**2. Open Google Colab**
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{% embed url="https://colab.research.google.com/" %}
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Google Colab Environment
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{% endembed %}
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**3. Activate Visual Python on Google Colab**
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Click orange square button on the top-right side of the browser.
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---
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description:Frequently Asked Questions.
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---
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#Installing FAQ
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###Which web browsers does Visual Python support?
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{% hint style="info" %}
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Visual Python may work on many up-to-date browsers but it is optimized for Chrome.
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{% endhint %}
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###I installed Visual Python, but the orange button does not appear on my Jupyter Notebook.
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This can happen if the you're using a Python version is not 3.x.&#x20;
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1. Please upgrade to Python 3.x, or
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2. If you are using multiple versions of Python, specify the pip version as 3 using the following command:
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**NOTE:** Please uninstall before reinstalling.&#x20;
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```
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pip uninstall visualpython
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```
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```
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visualpy install —pip3
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```
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###How can I install Visual Python behind a corporate firewall?
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If pip installation gives you SSLError, it can be solved using the following command:
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```
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pip install visualpython --trusted-host pypi.org --trusted-host files.pythonhosted.org
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```
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To upgrade Visual Python in the same environment, follow the steps below.
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**1) Upgrade Visual Python package.**
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```
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pip install visualpython --upgrade --trusted-host pypi.org --trusted-host files.pythonhosted.org
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```
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**2) Enable the package.**
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```
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visualpy install
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```
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#Welcome to Visual Python
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**Visual Python** is a GUI-based Python code generator for data science.
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**Visual Python** is an extension to**Jupyter Lab**,**Jupyter Notebook** and**Google Colab**.
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**Visual Python** is an open source project started for students who struggle with coding during Python classes for data science.
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<figure><imgsrc="../.gitbook/assets/Visual Python_2.2.8.gif"alt=""><figcaption><p>Visual Python 2.2.8 demo</p></figcaption></figure>
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##Try Visual Python if you would like to
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* manage big data with minimal coding skills.&#x20;
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* help students / business analysts / researchers to overcome learning barriers for Python.&#x20;
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* save & reuse repeatedly used codes(snippets).

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