Adding Answers

Author: rsouza

Exercises/EN/Numpy_Pandas/1_Intro_to_NumPy.ipynb

@@ -14,7 +14,7 @@
     "***\n",
     "## 1. Introduction\n",
     "\n",
-    "We have finished the fundamentals of Python programming in the previous two courses. In this course, we'll build on that knowledge to learn data analysis with some of the most powerful Python libraries for working with data.\n",
+    "In this notebook, we'll learn data analysis with some of the most powerful Python libraries for working with data.\n",
     "\n",
     "Have you ever wondered why the Python language is so popular? One straight forward answer is that Python makes writing programs easy. Python is a **high-level language**, which means we don’t need to worry about allocating memory or choosing how certain operations are done by our computers' processors like we have to when we use a **low-level language**, such as C. It takes usually more time to code in a low-level language; however, it also gives us more ability to optimize the code in order for it to run faster.\n",
     "\n",
@@ -773,7 +773,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -787,7 +787,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.1"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,