Trail1 python essentials

.gitignore

@@ -172,4 +172,4 @@ cython_debug/
 
 # PyPI configuration file
 .pypirc
-__marimo__
+data

.python-version

@@ -0,0 +1 @@
+3.12

README.md

@@ -1,4 +1,3 @@
-
 # Yet Another Python Course
 
 Welcome to Yet Another Python Course! This course is designed for non-developer professionals who want to learn Python from scratch. It focuses on practical skills that can enhance your productivity in various professional roles.
@@ -38,13 +37,29 @@ Below is the detailed syllabus outlining the modules and topics covered in the c
   - **Exercises**: Extract data from a website, fetch data from a public API
   - **Project**: Scrape weather data from a website and save it to a CSV file
 
-- **[Module 5: Introduction to Data Analysis (Optional)](#module-5-introduction-to-data-analysis-optional)**
+- **[Module 5: Introduction to Data Analysis](#module-5-introduction-to-data-analysis)**
   - Introduction to pandas for data manipulation (dataframes, series)
   - Basic data operations (filtering, sorting, grouping)
   - Simple data visualization using matplotlib (e.g., bar charts, line graphs)
   - **Exercises**: Clean and analyze a small dataset
   - **Project**: Analyze a dataset of sales data and create a bar chart to visualize sales by region
 
+- **[Module 6: Building Tools - CLI and Desktop Applications](#module-6-building-tools---cli-and-desktop-applications)**
+  - Command-line interface (CLI) tools using argparse
+  - Desktop applications with tkinter (GUI programming)
+  - File operations and data handling in tools
+  - Advanced tool features (progress bars, menus, dialogs)
+  - **Exercises**: CLI calculator, file renamer, GUI calculator, text file viewer
+  - **Project**: Create a multi-function file utility (CLI) and a personal productivity desktop app
+
+- **[Module 7: Web Applications and Interactive Reports](#module-7-web-applications-and-interactive-reports)**
+  - Introduction to web development with Flask (routes, templates, forms)
+  - Building interactive dashboards with Streamlit
+  - Creating machine learning demos with Gradio
+  - Deploying web applications (local deployment and cloud basics)
+  - **Exercises**: Simple Flask app, Streamlit data dashboard, Gradio interface
+  - **Project**: Build a comprehensive business reporting web application with user authentication and data visualization
+
 ## How to Use This Repository
 - Each module has its own folder (e.g., `module1_basics/`, `module2_functions_data_structures/`) containing:
   - A `README.md` with detailed explanations and examples.
@@ -123,7 +138,7 @@ If you have questions or need help, feel free to open an issue in this repositor
 
 ---
 
-### Module 5: Introduction to Data Analysis (Optional)
+### Module 5: Introduction to Data Analysis
 - **Topics**:
   - Introduction to pandas for data manipulation (dataframes, series)
   - Basic data operations (filtering, sorting, grouping)
@@ -132,7 +147,60 @@ If you have questions or need help, feel free to open an issue in this repositor
   - Exercises: Clean and analyze a small dataset
   - Project: Analyze a dataset of sales data and create a bar chart to visualize sales by region
 
-[Go to Module 5](#module-5-introduction-to-data-analysis-optional)
+[Go to Module 5](#module-5-introduction-to-data-analysis)
+
+---
+
+### Module 6: Building Tools - CLI and Desktop Applications
+- **Topics**:
+  - Command-line interface (CLI) tools using argparse
+  - Desktop applications with tkinter (GUI programming)
+  - File operations and data handling in tools
+  - Advanced tool features (progress bars, menus, dialogs)
+- **Interactivity**:
+  - Exercises: CLI calculator, file renamer, GUI calculator, text file viewer, system information tool
+  - Project: Create a multi-function file utility (CLI) and a personal productivity desktop app
+
+[Go to Module 6](#module-6-building-tools---cli-and-desktop-applications)
+
+---
+
+### Module 7: Web Applications and Interactive Reports
+- **Topics**:
+  - **Flask Web Development**:
+    - Understanding web applications and HTTP basics
+    - Flask fundamentals (routes, templates, static files)
+    - HTML forms and user input handling
+    - Session management and basic authentication
+    - Database integration with SQLite
+  - **Streamlit for Data Dashboards**:
+    - Creating interactive data applications
+    - Widgets for user input (sliders, dropdowns, file uploads)
+    - Real-time data visualization and filtering
+    - Multi-page applications and navigation
+    - Caching for performance optimization
+  - **Gradio for Quick Demos**:
+    - Building interfaces for functions and models
+    - Input/output components (text, images, audio, files)
+    - Creating shareable demo links
+    - Integration with machine learning workflows
+  - **Deployment Basics**:
+    - Local deployment and testing
+    - Introduction to cloud platforms (Heroku, Streamlit Cloud)
+    - Environment variables and configuration management
+- **Interactivity**:
+  - **Exercise 1**: Create a simple Flask web app with a contact form
+  - **Exercise 2**: Build a Streamlit dashboard to explore a dataset with filters and charts
+  - **Exercise 3**: Create a Gradio interface for a text analysis function (word count, sentiment)
+  - **Exercise 4**: Deploy a simple Streamlit app to Streamlit Cloud
+- **Project**: Build a comprehensive business reporting web application that includes:
+  - Flask backend with user registration/login
+  - File upload functionality for CSV/Excel data
+  - Streamlit-powered analytics dashboard embedded in Flask
+  - Gradio interface for data preprocessing tasks
+  - Export functionality for reports and visualizations
+
+[Go to Module 7](#module-7-web-applications-and-interactive-reports)
 
 ---
 
@@ -155,14 +223,38 @@ To help you track your progress, consider using the checklist below. Check off e
   - [ ] Topics
   - [ ] Exercises
   - [ ] Project
-- [ ] **Module 5: Introduction to Data Analysis (Optional)**
+- [ ] **Module 5: Introduction to Data Analysis**
   - [ ] Topics
   - [ ] Exercises
   - [ ] Project
+- [ ] **Module 6: Building Tools - CLI and Desktop Applications**
+  - [ ] Topics
+  - [ ] Exercises
+  - [ ] Project
+- [ ] **Module 7: Web Applications and Interactive Reports**
+  - [ ] Topics
+  - [ ] Exercises
+  - [ ] Project
+
+---
+
+## Learning Path Recommendations
+
+### For Business Professionals:
+Focus on Modules 1-3, 5, and 7 for data analysis and reporting capabilities.
+
+### For Administrative Roles:
+Emphasize Modules 1-3, 6, and basic web concepts from Module 7.
+
+### For Analytics and Research:
+Complete all modules with extra attention to Modules 4, 5, and 7.
+
+### For Project Managers:
+Focus on Modules 1-3, and 7 for creating project dashboards and reports.
 
 ---
 
 ## Feedback and Contributions
 We welcome feedback and contributions to improve the course. If you have suggestions or find errors, please open an issue or submit a pull request.
 
-Happy learning!
+Happy learning!

module0_greetings/greetings.py

@@ -20,7 +20,7 @@
 templates = [
     "Meet {name}, the {job_title} who {fun_fact}. Clearly, they're here to conquer the world of Python!",
     "{name}, a {job_title} by day, and someone who {fun_fact} by night. Watch out, Python world!",
-    "Introducing {name}, the {job_title} known for {fun_fact}. Python better watch its back!"
+    "Introducing {name}, the {job_title} known for {fun_fact}. Python better watch its back!",
 ]
 
 selected_template = random.choice(templates)

module1_basics/__marimo__/session/exercises.py.json

@@ -0,0 +1,21 @@
+{
+  "version": "1",
+  "metadata": {
+    "marimo_version": "0.13.2"
+  },
+  "cells": [
+    {
+      "id": "Hbol",
+      "code_hash": "1d0db38904205bec4d6f6f6a1f6cec3e",
+      "outputs": [
+        {
+          "type": "data",
+          "data": {
+            "text/plain": ""
+          }
+        }
+      ],
+      "console": []
+    }
+  ]
+}

module1_basics/exercises.py

@@ -1,19 +1,135 @@
-
-
 import marimo
 
-__generated_with = "0.13.2"
-app = marimo.App(width="medium")
+__generated_with = "0.11.12"
+app = marimo.App(width="medium", layout_file="layouts/exercises.grid.json")
 
 
 @app.cell(hide_code=True)
 def _():
     import marimo as mo
+
+    return (mo,)
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""# Loop in Python""")
+    return
+
+
+@app.cell
+def _():
+    print(1)
+    print(2)
+    print(3)
+    print(4)
+    return
+
+
+@app.cell
+def _():
+    for i in range(1, 11):
+        print(i)
+    return (i,)
+
+
+@app.cell
+def _():
+    j = 1
+    while j <= 1:
+        print(j)
+        j = j + 1
+
+    print("While Loop Finished")
+    return (j,)
+
+
+@app.cell(hide_code=True)
+def _(mo):
+    mo.md(
+        r"""
+        # 🚀 Liftoff Countdown: The Story Behind the Numbers
+
+        When you think of a rocket launch, what's the first thing that comes to mind?
+
+        **"10... 9... 8... 7..."** — the classic **reverse countdown**!
+        But did you know this tradition started in the **movies** before it became a real-life NASA staple?
+
+        ### 🎬 The Origin Story
+
+        The reverse countdown was popularized in Fritz Lang’s 1929 sci-fi film *Woman in the Moon*, where it added dramatic tension. NASA adopted it later — not for the drama, but to build precision and coordination in rocket launches.
+        """
+    )
     return
 
 
 @app.cell
 def _():
+    from time import sleep
+
+    starting_value = 10
+
+    while starting_value >= 0:
+        sleep(1)
+        print(starting_value)
+        starting_value = starting_value - 1
+    return sleep, starting_value
+
+
+@app.cell(hide_code=True)
+def _(mo):
+    mo.md(r"""# Manik Jor""")
+    return
+
+
+@app.cell
+def _():
+    even = 1
+
+    while even <= 10:
+        print(even)
+        even = even + 2
+    return (even,)
+
+
+@app.cell
+def _():
+    number = 1
+    while number <= 10:
+        if number % 2 == 0:
+            print(number)
+
+        number += 1
+    return (number,)
+
+
+@app.cell(hide_code=True)
+def _(mo):
+    mo.md(r"""# Guessing Game""")
+    return
+
+
+@app.cell
+def _():
+    hidden_number = "6"
+    gussed = input("Please guess a number  between 1 to 10: ")
+    while gussed != hidden_number:
+        print(f"Ohhh...you gussed it wrong!")
+        gussed = input("Please guess another number  between 1 to 10: ")
+        if gussed == hidden_number:
+            print("You're right!")
+    return gussed, hidden_number
+
+
+@app.cell(hide_code=True)
+def _(mo):
+    mo.md(r"""## [Feature]: Oops! Limit exceeded""")
+    return
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""# Excercise""")
     return
 
 

module1_basics/layouts/exercises.grid.json

@@ -0,0 +1,63 @@
+{
+  "type": "grid",
+  "data": {
+    "columns": 24,
+    "rowHeight": 20,
+    "maxWidth": 1400,
+    "bordered": true,
+    "cells": [
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+        "position": null
+      },
+      {
+        "position": null
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+      {
+        "position": null
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+      {
+        "position": null
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+      {
+        "position": null
+      },
+      {
+        "position": null
+      },
+      {
+        "position": null
+      },
+      {
+        "position": null
+      },
+      {
+        "position": null
+      },
+      {
+        "position": null
+      },
+      {
+        "position": [
+          8,
+          1,
+          6,
+          6
+        ]
+      },
+      {
+        "position": [
+          8,
+          7,
+          6,
+          6
+        ]
+      },
+      {
+        "position": null
+      },
+      {
+        "position": null
+      }
+    ]
+  }
+}