Making the introduction more welcoming!

core/numpy/numpy-basics.ipynb

@@ -14,13 +14,13 @@
    "metadata": {},
    "source": [
     "## Overview\n",
-    "NumPy is the fundamental package for scientific computing with Python. It contains among other things:\n",
+    "Welcome to your first Python library - NumPy! NumPy is the fundamental package for numerical operations with Python. It contains among other things:\n",
     "\n",
     "- a powerful N-dimensional array object\n",
     "- sophisticated (broadcasting) functions\n",
     "- useful linear algebra, Fourier transform, and random number capabilities\n",
     "\n",
-    "The NumPy array object is the common interface for working with typed arrays of data across a wide-variety of scientific Python packages. NumPy also features a C-API, which enables interfacing existing Fortran/C/C++ libraries with Python and NumPy. In this notebook we will cover\n",
+    "Let's get you started with the basics! In this notebook we will cover\n",
     "\n",
     "1. Creating an `array`\n",
     "1. Math and calculations with arrays\n",
@@ -1025,7 +1025,20 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.2"
+   "version": "3.7.15"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
   },
   "toc-autonumbering": false
  },