Aditya_210066_week_1

Aditya_210066_week_1/Anaconda.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2322030c",
+   "metadata": {},
+   "source": [
+    " #                                                 Anaconda\n",
+    " \n",
+    " \n",
+    " ### What is Anaconda?\n",
+    " Conda is an open-source package and environment management system that runs on Windows, macOS, and Linux.\n",
+    " Conda quickly installs, runs, and updates packages and their dependencies. It also easily creates, saves,\n",
+    " loads, and switches between environments on your local computer. It was created for Python programs, but\n",
+    " it can package and distribute software for any language.\n",
+    " \n",
+    "\n",
+    "### Installing Anaconda-\n",
+    "I reffered to https://youtu.be/5mDYijMfSzs this video to download Anaconda on my laptop(windows 10).\n",
+    "Or go through the following steps to download it on your laptop(windows 10)\n",
+    "1. Search Anaconda.com on Google.\n",
+    "2. Click on download button(Python 3.9 version).\n",
+    "3. Open the downloaded file. Setup will start.\n",
+    "4. Wait till setup is completed.\n",
+    "5. Few moments later the installation will be completed.\n",
+    "\n",
+    "---\n",
+    "\n",
+    "## Environment in Anaconda\n",
+    "\n",
+    "### What is conda environment?\n",
+    "Conda environment is a directory which contains different types of packages which you have installed.\n",
+    "Anaconda comes with a already installed base environment which contains various pacakages. It is \n",
+    "preffered to use different environments for different projects.\n",
+    "\n",
+    "### How to create environment in Anaconda?\n",
+    "1. Open Anaconda Prompt.\n",
+    "2. Type \" conda create name --'type name of environment'\".\n",
+    "3. Type \"y\".\n",
+    "4. This will create a new environment.\n",
+    "\n",
+    "### How to install packages in environment?\n",
+    "1. Click on 'Environments'.\n",
+    "2. Select desired environment.\n",
+    "3. Above 'Name' column select 'Not installed'.\n",
+    "4. In top right corner enter the name of package you want to download in the block saying 'Search packages'."
+   ]
+  }
+ ],
+ "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": "3.9.12"
+  }
+ },
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+ "nbformat_minor": 5
+}

Aditya_210066_week_1/Jupyter.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "00581b96",
+   "metadata": {},
+   "source": [
+    "# Jupyter Notebook\n",
+    "\n",
+    "## Introduction\n",
+    "The Jupyter Notebook is an open source web application that you can use to create and share\n",
+    "documents that contain live code, equations, visualizations, and text. Jupyter Notebook is \n",
+    "maintained by the people at Project Jupyter.Jupyter notebooks can also be converted to a \n",
+    "number of standard output formats (HTML, Powerpoint, LaTeX, PDF, ReStructuredText, Markdown,\n",
+    "Python) through the web interface. This flexibility makes it easy for data scientists to share\n",
+    "their work with others.\n",
+    "\n",
+    "\n",
+    "## What are Jupyter notebooks used for?\n",
+    "Jupyter notebooks are especially useful for \"showing the work\" that your data team has done \n",
+    "through a combination of code, markdown, links, and images. They are easy to use and can be \n",
+    "run cell by cell to better understand what the code does.Jupyter notebooks are used for all \n",
+    "sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and \n",
+    "transformation, data visualization, statistical modeling, machine learning, and deep learning.\n",
+    "\n",
+    "## Cells \n",
+    "A cell is a multiline text input field, and its contents can be executed by using **Shift-Enter**\n",
+    ", or by clicking either the “Play” button the toolbar, or Cell, Run in the menu bar. The \n",
+    "execution behavior of a cell is determined by the cell's type. Basically they are used to write \n",
+    "code and run it.\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  }
+ ],
+ "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": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}