Add in proper exampels

.gitignore

@@ -11,7 +11,7 @@ PyPi Build/
 Tests/*.html
 .DS_Store
 *.ipynb
-!examples.ipynb
+!examples/*.ipynb
 !compression.ipynb
 
 # C extensions

examples.ipynb → examples/FInance Database - 1. Getting Started.ipynb

@@ -9,23 +9,12 @@
     "<p align=\"center\">\n",
     "    <img src=\"https://user-images.githubusercontent.com/46355364/220746807-669cdbc1-ac67-404c-b0bb-4a3d67d9931f.jpg\" alt=\"Logo\">\n",
     "</center>\n",
-    "<p align=\"center\">\n",
-    "    <a href=\"https://www.buymeacoffee.com/jerbouma\">\n",
-    "        <img src=\"https://img.shields.io/badge/Buy%20Me%20A%20Coffee-Donate-brightgreen?logo=buymeacoffee\" alt=\"Logo\">\n",
-    "    </a>\n",
-    "    <a href=\"https://github.com/JerBouma/FinanceDatabase/issues\">\n",
-    "        <img src=\"https://img.shields.io/github/issues/jerbouma/financedatabase\" alt=\"Logo\">\n",
-    "    </a>\n",
-    "     <a href=\"https://github.com/JerBouma/FinanceDatabase/pulls\">\n",
-    "        <img src=\"https://img.shields.io/github/issues-pr/JerBouma/FinanceDatabase?color=yellow\" alt=\"Logo\">\n",
-    "    </a>\n",
-    "    <a href=\"https://pypi.org/project/financedatabase/\">\n",
-    "        <img src=\"https://img.shields.io/pypi/v/FinanceDatabase\" alt=\"Logo\">\n",
-    "    </a>\n",
-    "    <a href=\"https://pypi.org/project/financedatabase/\">\n",
-    "        <img src=\"https://img.shields.io/pypi/dm/FinanceDatabase\" alt=\"Logo\">\n",
-    "    </a>\n",
-    "</center>\n",
+    "\n",
+    "[![GitHub Sponsors](https://img.shields.io/badge/Sponsor_this_Project-grey?logo=github)](https://github.com/sponsors/JerBouma)\n",
+    "[![Documentation](https://img.shields.io/badge/Documentation-grey?logo=readme)](https://www.jeroenbouma.com/projects/financedatabase)\n",
+    "[![Supported Python Versions](https://img.shields.io/pypi/pyversions/financedatabase)](https://pypi.org/project/financedatabase/)\n",
+    "[![PYPI Version](https://img.shields.io/pypi/v/financedatabase)](https://pypi.org/project/financedatabase/)\n",
+    "[![PYPI Downloads](https://static.pepy.tech/badge/financedatabase/month)](https://pepy.tech/project/financedatabase)\n",
     "\n",
     "The **FinanceDatabase** serves the role of providing anyone with any type of financial product categorisation entirely for free. To be able to achieve this, the FinanceDatabase relies on involvement from the community to add, edit and remove tickers over time. This is made easy enough that anyone, even with a lack of coding experience can contribute because of the usage of CSV files that can be manually edited. I'd like to invite you to go to the **[Contributing Guidelines](https://github.com/JerBouma/FinanceDatabase/blob/main/CONTRIBUTING.md)** to understand how you can help. Thank you!\n",
     "\n",
@@ -40,7 +29,7 @@
     "industries, types of investments and much more.\n",
     "\n",
     "The aim of this database is explicitly _not_ to provide up-to-date fundamentals or stock data as those can be obtained \n",
-    "with ease (with the help of this database) by using [yfinance](https://github.com/ranaroussi/yfinance) or [FundamentalAnalysis](https://github.com/JerBouma/FundamentalAnalysis). Instead, it gives insights into the products \n",
+    "with ease (with the help of this database) by using the [FinanceToolkit](https://github.com/JerBouma/FinanceToolkit). Instead, it gives insights into the products \n",
     "that exist in each country, industry and sector and gives the most essential information about each product. With \n",
     "this information, you can analyse specific areas of the financial world and/or find a product that is hard to find.\n"
    ]
@@ -1081,7 +1070,7 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>22905 rows × 19 columns</p>\n",
+       "<p>22922 rows × 19 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1197,7 +1186,7 @@
        "NaN              NaN            NaN             NaN  \n",
        "NaN              NaN            NaN             NaN  \n",
        "\n",
-       "[22905 rows x 19 columns]"
+       "[22922 rows x 19 columns]"
       ]
      },
      "execution_count": 13,