Jupyter lab files2

jupyter-lab-files/Handling Exceptions.md

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+# Dealing With Exceptions
+
+## What is an Exception?
+
+An **Exception** gets **raised** when code encounters an occasional,
+but not unexpected, error. Although exceptions are an unavoidable
+part of software, because you are aware that exceptions may occur,
+you should write code to deal with or **handle** them.
+Unhandled exceptions will cause a program to crash.
+
+## How Do You Handle Them?
+
+You implement [*exception handling*](https://realpython.com/python-exceptions/)
+to handle exceptions. In its most basic form, this provides both a *try*
+and one or more *except* blocks:
+
+* The *try* block contains the code you wish to monitor for exceptions.
+Any exceptions raised within *try* will be elligible for handling.
+
+* One or more *except* blocks are where you define code that will run
+when exceptions occur and handle them.
+This is how you stop the exception from crashing the code.
+
+## What Are Some Common Exceptions
+
+The Python language supports more than sixty common exceptions.
+Three of the more common are:
+
+
+| Exception | Cause |
+|:- |:- |
+| **ZeroDivisionError** | Raised when you attempt to divide by zero |
+| **ValueError** | Raised when you pass an inappropriate value |
+
+## Example
+
+```python
+try:
+    first_number = float(input("Enter your first number"))
+    second_number = float(input("Enter your second number"))
+    print(f"{first_number} / {second_number} = {first_number / second_number}")
+except ZeroDivisionError:
+    print("You can't divide by zero")
+except ValueError:
+    print("You must supply a number")
+```

jupyter-lab-files/Movies.json

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+{
+  "Movies": [
+    {
+      "id": 2,
+      "title": "Dr No",
+      "release_year": 1962,
+      "star": "Sean Connery"
+    },
+    {
+      "id": 1,
+      "title": "Pal Joey",
+      "release_year": 1953,
+      "star": "Francis Albert Sinatra"
+    },
+    {
+      "id": 3,
+      "title": "The Godfather",
+      "release_year": 1972,
+      "star": "Marlon Brando"
+    }
+  ]
+}

jupyter-lab-files/Population Changes.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5845722b-afb4-47db-99ee-c59217552065",
+   "metadata": {},
+   "source": [
+    "### Population Changes Since 1980\n",
+    "\n",
+    "The data shown below shows the decade-on-decade increases in the\n",
+    "[world's population](https://www.worldometers.info/world-population/world-population-by-year/)\n",
+    "since 1980."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4db0c4f2-ba67-4854-9f6b-2e2ca724971f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_differences(data_set):\n",
+    "    differences = [\n",
+    "        0,\n",
+    "    ]\n",
+    "    for index in range(1, len(data_set)):\n",
+    "        differences.append(round(data_set[index] - data_set[index - 1], 1))\n",
+    "    return differences\n",
+    "\n",
+    "\n",
+    "population_change = calculate_differences(population)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0822c8a4-829a-4806-b965-b2a88cf8798c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "zipped = list(zip(decades, population, population_change))\n",
+    "\n",
+    "population_df = pd.DataFrame(\n",
+    "    zipped, columns=(\"Decade\", \"Population(Bn)\", \"Change\")\n",
+    ")\n",
+    "\n",
+    "print(population_df)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

jupyter-lab-files/Population Data.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8a9df91c-eadc-47f9-bce7-948e38136b07",
+   "metadata": {},
+   "source": [
+    "### Changes in World Population Since 1960\r\n",
+    "\r\n",
+    "The data shown below shows how the\r\n",
+    "[world's population](https://www.worldometers.info/world-population/world-population-by-year/)\r\n",
+    "has more than doubled since 1960.\r\n",
+    "\r\n",
+    "This has [implications](https://ugc.berkeley.edu/background-content/population-growth/)\r\n",
+    "in a variety of areas including:\r\n",
+    "\r\n",
+    "* Increased extraction of environmental resources.\r\n",
+    "* Increased fossil fuel usage.\r\n",
+    "* Increased disease transmission.\r\n",
+    "* Increased transportation of invasive species.\r\n",
+    "\r\n",
+    "**The data below shows the population each decade since 1960:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "50d0f480-a0fd-4586-8a22-03949a2518f0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# decades = [1960, 1970, 1980, 1990, 2000, 2010, 2020]\n",
+    "\n",
+    "# World population(billions)\n",
+    "# population = [3, 3.7, 4.4, 5.3, 6.1, 7.0, 7.8]\n",
+    "\n",
+    "decades = [1980, 1990, 2000, 2010, 2020]\n",
+    "population = [4.4, 5.3, 6.1, 7.0, 7.8]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0d399a86-4d1b-48fb-928d-f2860621c90b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from matplotlib import pyplot as plt\n",
+    "\n",
+    "plt.plot(decades, population)\n",
+    "\n",
+    "plt.xlabel(\"Year\")\n",
+    "plt.ylabel(\"Population (Billion)\")\n",
+    "plt.title(\"World Population\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

jupyter-lab-files/README.md

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+# Using JupyterLab
+
+This folder contains completed notebooks and other files used in the Real Python tutorial on [using JupyterLab](https://realpython.com/using-jupyterlab/). 
+
+None of the files are mandatory to complete the tutorial. However, you may find them of use to continue your learning by experimenting more with them.
+
+## Setup
+
+The easiest way to incorporate these files into JupyterLab is to copy them into their own `Samples/` folder as instructed in the tutorial. You can then access them from JupyterLab's _file browser_ when needed.
+
+## Usage
+
+After creating and activating your virtual environment, installing the dependencies, and starting the JupyterLab server, you can load any file by double-clicking on it from the _file browser_ in JupyterLab.

jupyter-lab-files/Ten_Bond_Movies.csv

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+Movie,Bond,Director,Year
+Dr. No,Sean Connery,Terence Young,1962
+From Russia with Love,Sean Connery,Terence Young,1963
+Goldfinger,Sean Connery,Guy Hamilton,1964
+Thunderball,Sean Connery,Terence Young,1965
+You Only Live Twice,Sean Connery,Lewis Gilbert,1967
+On Her Majesty's Secret Service,George Lazenby,Peter R. Hunt,1969
+Diamonds Are Forever,Sean Connery,Guy Hamilton,1971
+Live and Let Die,Roger Moore,Guy Hamilton,1973
+The Man with the Golden Gun,Roger Moore,Guy Hamilton,1974
+The Spy Who Loved Me,Roger Moore,Lewis Gilbert,1977

jupyter-lab-files/range type.md

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+## The range() Function
+In Python, the *range()* type provides an immutable sequence of numbers.  
+These numbers can be used to create a list.
+
+```python
+# Examples of range()
+print(list(range(1, 10)))
+print(list(range(1, 10, 2)))
+print(list(range(1, 10, 3)))
+print(list(range(1, 10, 5)))
+```