Python_Scripts_for_Process_Optimization-

Python, Automation, Optimization, Process Improvement

Python Projects and Code Scripts: Learning Journey and Automation Portfolio

Welcome to my Python Projects and Code Scripts repository! This collection showcases my learning progression in Python programming, covering topics such as automation scripts, data manipulation, and Python frameworks. Through hands-on projects, I've explored Python’s potential in data analysis, web scraping, task automation, and more.

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Table of Contents

1. About the Repository
2. Key Projects and Highlights
3. Skills and Frameworks
4. Installation

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About the Repository

This repository documents my journey in mastering Python. Each project and code script demonstrates my development in Python fundamentals and my exploration of key Python frameworks and libraries. By tackling projects in automation, data handling, web scraping, and more, I've developed a strong foundation in Python and gained practical skills across various applications.

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Key Projects and Highlights

1. Automation Scripts

• File Organizer: Script that automatically sorts and organizes files by type.
• Email Notifier: Sends notifications via email for reminders or alerts.
• Web Scraper: Gathers data from websites using BeautifulSoup and Selenium.

2. Analytics (Business / Data / Operations) Projects

• Data Cleaning with Pandas: Cleans and processes raw datasets for analysis.
• Exploratory Data Analysis (EDA): Visualizes and explores datasets using Matplotlib and Seaborn.

3. Python Frameworks

• Flask Web Application: A simple web application to manage tasks, showcasing Flask's capabilities for backend development.
• Streamlit Dashboard: An interactive dashboard for real-time data analysis, built using Streamlit.

4. Process Optimization and Improvement Projects

• Six Sigma: Using the quality improvement methodology to count the number of flaws in a process and aim to systematically fix them.
• Business Optimization / Analysis: Improving productivity, performance, and efficiency.

5. Machine Learning and AI (Beginner Projects)

• Predictive Model: Basic model for predicting trends using Scikit-Learn.
• Natural Language Processing: Text analysis project for sentiment analysis using NLTK.

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Skills and Frameworks

• Languages: Python
• Frameworks: Flask, Streamlit
• Libraries: Pandas, Numpy, Matplotlib, BeautifulSoup, Selenium, Scikit-Learn, NLTK
• Topics: Automation, Data Analysis, Web Development, Machine Learning

This repository highlights my work with popular Python libraries for data manipulation, visualization, and machine learning, alongside automation scripts and basic web development frameworks.

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Installation

To run any of the scripts or projects in this repository, follow these steps:

1. Clone the repository:

   git clone https://github.com/your-username/python-learning-portfolio.git
   

Contact

[LinkedIn] | [Personal Blog]