{ "cells": [ { "cell_type": "markdown", "id": "1bdd91d6", "metadata": {}, "source": [ "Hello World! We try to learn Python Jupyter NoteBook!\n", "\n", "# Introduction\n", "\n", "How do this work?\n", "\n", "1. **Markdown** \n", "2. **Jupiter-Nootebook** \n", "3. **Pandas** \n", "3. **Seaborn** \n", "\n", "***\n", "\n", "### 1.1 HotKeys\n", "\n", "- `P` HELP (open the command palette)\n", "\n", "- `Shift + Enter` run the current cell, select below\n", "- `Ctrl + Enter` run selected cells\n", "- `Alt + Enter` run the current cell, insert below\n", "- `Ctrl + S` save and checkpoint\n", "\n", "While in command mode (press Esc to activate):\n", "\n", "- `Enter` ENTER (EDIT MODE)\n", "- `Esc` ESC (COMMAND MODE)\n", "- `M` CELL MARKDOWN \n", "- `Y` CELL CODE\n", "\n", "- `A` CELL ADD ABOVE\n", "- `B` CELL ADD BELOW\n", "- `D, D` CELL DELETE (press the key twice)\n", "- `Shift + Up` extend selected cells above\n", "- `Shift + Down` extend selected cells below\n", "\n", "- `H` show all shortcuts\n", "- `Up` select cell above\n", "- `Down` select cell below\n", "\n", "- `X` cut selected cells\n", "- `C` copy selected cells\n", "- `V` paste cells below\n", "- `Shift + V` paste cells above\n", "- `Z` undo cell deletion\n", "- `S` Save and Checkpoint\n", "\n", "- `Shift + Space` SCROLL UP\n", "- `Space` SCROLL DOWN\n", "\n", "\n", "### 2.1 Font\n", "**Badary** __Siberian__ *Solar Radio* _Spectropolarimeter_\n", "\n", "### 2.2 Text and List\n", "Paragraphs must be separated by an empty line.\n", "* Sometimes we want to include lists.\n", "Which can be indented.\n", "1. Lists can also be numbered.\n", "2. For ordered lists.\n", "\n", "### 2.3 Links and Code\n", " - It is possible to include hyperlinks - [Badary web site][]\n", " - You can use locallinks. How do work with html pictures to look [Alt text][]\n", "\n", "[Badary web site]: http://badary.iszf.irk.ru \"Here you can add Title\"\n", "[Alt text]: https://habr.com/ru/post/341810 \"HarbPost\"\n", "\n", "Inline code uses single backticks: `help()`, and code blocks use triple backticks:\n", "```\n", "python3\n", "help()\n", "exit()\n", "```\n", "or can be indented by 4 spaces: \n", " \n", " python3\n", " help()\n", " exit()\n", "\n", "### 2.4 Pictures\n", "\n", "Adding images: [Click: BBMS daily dynamic spectrum](http://badary.iszf.irk.ru/spectrometer_4_8/20210910.png) or `![texttitle](link)`\n", "\n", "![BBMS daily dynamic spectrum](http://badary.iszf.irk.ru/spectrometer_4_8/20210910.png \"BBMS daily dynamic spectrum\")\n", "\n", "© _BadarychPy_\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "id": "4977fcda", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 1, "id": "66eac442", "metadata": {}, "outputs": [], "source": [ "import time\n", "time.sleep(3)" ] }, { "cell_type": "code", "execution_count": 2, "id": "3b7a22e5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Hello, Man!\n", "Hello, Man!\n" ] } ], "source": [ "out = 'Man!'\n", "print('Hello, {}'.format(out))\n", "print('Hello, %s' % (out))" ] }, { "cell_type": "code", "execution_count": 3, "id": "1fdabd84", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Hello, World!'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def say_hello_world(out):\n", " return 'Hello, {}!'.format(out)\n", "say_hello_world('World')" ] }, { "cell_type": "code", "execution_count": 4, "id": "18b4eed0", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Coordinates: -115.81W, 37.24N\n", "Coordinates: 37.24N, -115.81W\n", "Coordinates: 1000m, 37.24N, -115.81W\n", "Coordinates: el. = 1000m\n" ] } ], "source": [ "print('Coordinates: {0[1]}, {0[0]}'.format(('37.24N','-115.81W'))) # here array()\n", "print('Coordinates: {latitude}, {longitude}'.format(latitude='37.24N', longitude='-115.81W'))\n", "print('Coordinates: {elevation}, {}, {}'.format('37.24N', '-115.81W', elevation ='1000m'))\n", "print('Coordinates: {0}{1}. {10} {12}{13}{14}{15}{16}'.format(*'elevation = 1000m'))" ] }, { "cell_type": "code", "execution_count": 5, "id": "57e4e999", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0'3.1\n", "03.14\n", "03.1\n", "3.14\n", "GT TIME: 2021-10-05T02:48:22.000\n" ] } ], "source": [ "print('{!r:0>5.4}'.format('3.143'))\n", "print('{!s:0>5.4}'.format('3.143'))\n", "print('{0:0=4.2}'.format(3.143))\n", "print('{!r:.4}'.format(3.143))\n", "import time \n", "gtm = time.gmtime()\n", "print('GT TIME: {:0>4}-{:0>2}-{:0>2}T{:0>2}:{:0>2}:{:0>2}.000'\n", " .format(gtm.tm_year, gtm.tm_mon, gtm.tm_mday, gtm.tm_hour, gtm.tm_min, gtm.tm_sec))" ] }, { "cell_type": "markdown", "id": "97958422", "metadata": {}, "source": [ "***\n", "### 3.2 Import Libs\n", "Motto _The NoteBook - one Kernel - one Libs - one variables._" ] }, { "cell_type": "code", "execution_count": 6, "id": "24c073ab", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "def square(x):\n", " return x * x" ] }, { "cell_type": "code", "execution_count": null, "id": "fafe7c32", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 7, "id": "c26e7f05", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3 squared is 9\n" ] } ], "source": [ "x = np.random.randint(1, 10)\n", "y = square(x)\n", "print('%d squared is %d' % (x, y))" ] }, { "cell_type": "code", "execution_count": null, "id": "b41fb695", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 8, "id": "e21bae85", "metadata": { "scrolled": true }, "outputs": [ { "ename": "NameError", "evalue": "name 'FSFS' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/tmp/ipykernel_135596/3583643279.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mFSFS\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mNameError\u001b[0m: name 'FSFS' is not defined" ] } ], "source": [ "FSFS\n", " " ] }, { "cell_type": "code", "execution_count": 9, "id": "27db330d", "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'DD' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/tmp/ipykernel_135596/4157857728.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mDD\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mNameError\u001b[0m: name 'DD' is not defined" ] } ], "source": [ "DD\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": "3.9.6" } }, "nbformat": 4, "nbformat_minor": 5 }