https://github.com/slevin48/training

Develop and Deploy an App with Python, Streamlit and Heroku
https://github.com/slevin48/training

heroku python streamlit

Last synced: 5 days ago
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Develop and Deploy an App with Python, Streamlit and Heroku

• Host: GitHub
• URL: https://github.com/slevin48/training
• Owner: slevin48
• License: mit
• Created: 2021-10-31T11:42:11.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-12-25T12:23:29.000Z (17 days ago)
• Last Synced: 2024-12-25T13:21:35.596Z (17 days ago)
• Topics: heroku, python, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 47.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Python Training

Learn Python for Data Analysis 

Why Python: Number 1 language according to [TIOBE index](https://www.tiobe.com/tiobe-index/) 

# 1. Get started with programming in Python

Download Python: https://www.python.org/ 

Agenda of [Python 101](doc/Python%20101.pptx):

| Chapter | | resources |

|---------|-|-----------|

|Datatypes|![](img/datatypes.jpg) | https://realpython.com/python-data-types/ |

|Loops & Conditions | ![](img/loops.jpg)|https://realpython.com/python-for-loop/|

|Functions | ![](img/functions.jpg)|https://realpython.com/defining-your-own-python-function/ |

|Modules|![](img/modules.jpg)|https://realpython.com/python-modules-packages/ |

|VScode|![](img/vscode.jpg)|https://realpython.com/python-development-visual-studio-code/ |

|Files management|![](img/files.jpg)|https://realpython.com/working-with-files-in-python/ |

**Hands on + exercise!!!**

Open Terminal, and run python:

```python

>>> print("Hello World")

```

# 2. Discover the Scientific Python ecosystem

* [Numpy 101](doc/Numpy%20101.pptx)

* [Pandas 101](doc/Pandas%20101.pptx)

* [Automate Excel 101](doc/Automate%20Excel%20101.pptx)

Going further with Machine Learning:

* [Scikit-Learn 101](doc/Sklearn%20101.pptx)

* [Deep Learning 101](doc/Deep%20Learning%20101.pptx)

# 3. Develop web apps with Streamlit

Install via PIP (package manager for Python): `$ pip install streamlit`

Or if you cannot find pip:

`$ python3 -m pip install streamlit`

Develop your first [app.py](code/app.py):

```python

import streamlit as st

import pandas as pd

st.write("# My Dashboard")

df = pd.read_excel('data/data.xlsx')

st.sidebar.write("## Data from Excel")

st.sidebar.write(df)

st.bar_chart(df)

```

![app](img/app.png)

Read more: https://streamlit.io/

**Deploy with Streamlit Cloud**

[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://python101.streamlit.app/)

# 4. Version your code with Git & GitHub

Learn the basics about source control with Git: 

* [GIT 101](doc/GIT%20101.pptx)

More resources:

- https://git-scm.com/

- https://realpython.com/advanced-git-for-pythonistas/