From e23cf8322f1c19d485fd0cf1fcd1ebecf02118b5 Mon Sep 17 00:00:00 2001
From: 6Tgraybird <107027564+6Tgraybird@users.noreply.github.com>
Date: Wed, 8 Jun 2022 00:51:07 +0530
Subject: [PATCH 1/6] Add files via upload

---
 anacondasetup.md       | 35 ++++++++++++++++++++++++
 jupiter_guide.ipynb    | 29 ++++++++++++++++++++
 matplotlib_guide.ipynb | 61 ++++++++++++++++++++++++++++++++++++++++++
 numpy_guide.ipynb      | 59 ++++++++++++++++++++++++++++++++++++++++
 4 files changed, 184 insertions(+)
 create mode 100644 anacondasetup.md
 create mode 100644 jupiter_guide.ipynb
 create mode 100644 matplotlib_guide.ipynb
 create mode 100644 numpy_guide.ipynb

diff --git a/anacondasetup.md b/anacondasetup.md
new file mode 100644
index 0000000..7e82d51
--- /dev/null
+++ b/anacondasetup.md
@@ -0,0 +1,35 @@
+## Basis Of Learning##
+SnT project 2022
+
+## step 1- Installing anacoda ##
+download anaconda distribution from https://www.anaconda.com/download/#windows
+install with all the packages.
+
+## conda installation ##
+Open anaconda navigator 
+In the anaconda navigator open powershell prompt there run the following commands 
+         conda -V
+it shows the version of conda installed on the windows
+
+## creating virtual environments in conda ##
+           conda create -n name_of_the_file python=3.9
+this creates a Venvironment 
+
+## to activate VEnvironment
+
+          conda activate deeplearn
+
+## to install numpy,pandas,matplotlib
+
+          conda install numpy
+          conda install pandas
+          conda install matplotlib
+
+
+## to check the version of the various libraries
+
+         print(numpy.__version__)
+         print(pandas.__version__)
+         print(matplotlib.__version__)
+         
+## completed with the anaconda distribution and created environments 
\ No newline at end of file
diff --git a/jupiter_guide.ipynb b/jupiter_guide.ipynb
new file mode 100644
index 0000000..6d5d736
--- /dev/null
+++ b/jupiter_guide.ipynb
@@ -0,0 +1,29 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "after installing anaconda open anaconda navigator and then jupyter\n",
+    "notebook\n",
+    "\n",
+    "to create a new file in the notebook click on the “new”,and then select\n",
+    "the type of the file you want to create.\n",
+    "\n",
+    "if you create a python3 kernel notebook then you need to rename it by\n",
+    "clicking onthe topmost point right of the jupyter\n",
+    "\n",
+    "type the commands in the IN box and then for execution click on “run”\n",
+    "\n",
+    "the file by default get saved in cdrive . so we have created the file\n",
+    "now code for eg. print(“BcS OP”) after the completion of the file you\n",
+    "need to save\n",
+    "\n",
+    "and we completed the jupyter setup"
+   ]
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/matplotlib_guide.ipynb b/matplotlib_guide.ipynb
new file mode 100644
index 0000000..343055f
--- /dev/null
+++ b/matplotlib_guide.ipynb
@@ -0,0 +1,61 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## install matplotlib library using conda environment\n",
+    "\n",
+    "In the python3 kerenel import matplotlib.pyplot as plt\n",
+    "\n",
+    "## plotting methods\n",
+    "\n",
+    "by plot function you create a graph and to display it show function used\n",
+    "\n",
+    "\\*\\*\\*\\*\\*\\*line graph\\*\\*\\* plt.plot(\\[1,2,3\\],\\[4,5,6\\]) plt.show()\n",
+    "\n",
+    "## attributes\n",
+    "\n",
+    "\\*\\*label function is used to create axis names\n",
+    "\n",
+    "plt.plot(\\[1,2,3\\],\\[4,5,6\\]) plt.xlabel(“jkl”) plt.ylabel(“lkj”)\n",
+    "plt.show()\n",
+    "\n",
+    "**title function is used to give graph a name **legend is used in bar\n",
+    "and histogram\n",
+    "\n",
+    "plt.title(“regression_demo”) plt.legend()\n",
+    "\n",
+    "\\*\\*\\*\\*\\*\\*bar graph label for each bar and color for different graph\n",
+    "\n",
+    "plt.bar(\\[1,2,3\\],\\[4,5,6\\],label=“pros”,color=‘g’)\n",
+    "plt.bar(\\[7,8,9\\],\\[10,5,8\\],label=“os”,color=‘k’) plt.show()\n",
+    "\n",
+    "\\*\\*linewidth is used for differing line width\n",
+    "\n",
+    "plt.bar(\\[1,2,3\\],\\[4,5,6\\],label=“pros”,color=‘g’,linewidth=10)\n",
+    "plt.bar(\\[7,8,9\\],\\[10,5,8\\],label=“os”,color=‘k’,linewidth=14)\n",
+    "plt.show()\n",
+    "\n",
+    "\\*\\*grid is used for developing a grid\n",
+    "\n",
+    "plt.bar(\\[1,2,3\\],\\[4,5,6\\],label=“pros”,color=‘g’,linewidth=10)\n",
+    "plt.bar(\\[7,8,9\\],\\[10,5,8\\],label=“os”,color=‘k’,linewidth=14)\n",
+    "plt.grid(‘true’,color=‘c’) plt.show()\n",
+    "\n",
+    "\\*\\*\\*\\*\\*\\*histogram\n",
+    "\n",
+    "bins=\\[0,10,20,30,40,50,60,70,80,90,100\\]\n",
+    "ghbc=\\[0,22,33,21,30,45,54,56,55,87,54,90,54\\]\n",
+    "plt.hist(ghbc,bins,histtype=‘bar’,color=‘r’,rwidth=0.8)\n",
+    "\n",
+    "\\*\\*\\*\\*\\*\\*scatter\n",
+    "\n",
+    "x=\\[1.2.3.4.5\\] y=\\[2,0,8,7,6\\] plt.scatter(x,y,color=‘r’) plt.show()"
+   ]
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/numpy_guide.ipynb b/numpy_guide.ipynb
new file mode 100644
index 0000000..f3e9efb
--- /dev/null
+++ b/numpy_guide.ipynb
@@ -0,0 +1,59 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## install the numpy library in conda environment\n",
+    "\n",
+    "In the notebook python kernel import numpy as np\n",
+    "\n",
+    "## creation of numpy arrays\n",
+    "\n",
+    "a=np.array(\\[elements\\]) eg. a=np.array(\\[1,2,3,4,5\\]) print(a)\n",
+    "—\\>\\[1,2,3,4,5\\]\n",
+    "\n",
+    "you can create a 2D array or nD array eg.\n",
+    "a=np.array(\\[\\[1,2,3\\],\\[4,5,6\\]\\]) print(a) —-\\>\\[\\[1,2,3\\] \\[4,5,6\\]\\]\n",
+    "\n",
+    "## attributes of arrays\n",
+    "\n",
+    "consider a array ‘a’ a=np.array(\\[1,2,3\\])\n",
+    "\n",
+    "*dimensions* a.ndim\n",
+    "\n",
+    "*shape* //gives the no.of rows,colns a.shape\n",
+    "\n",
+    "*type * a.dtype dtype’int32’ (output here)\n",
+    "\n",
+    "*itemsize* a.itemsize 4\n",
+    "\n",
+    "*nbytes* —-\\> gives total size of the array a.nbytes 12\n",
+    "\n",
+    "*getting a specific element* a\\[0,2\\] ——\\>3\n",
+    "\n",
+    "*getting a row* a\\[0,:\\] \\[1,2,3\\]\n",
+    "\n",
+    "*creating a array full of one or zero element* b=np.ones((2,3)\n",
+    ",dtype=‘int32’) print(b) ———\\>\\[\\[1,1,1\\] \\[1,1,1\\]\\]\n",
+    "\n",
+    "*creating a array full of same element*\n",
+    "h=np.full((2,3),99,dtype=‘int32’) print(h)\n",
+    "\n",
+    "—-\\> \\[\\[99,99,99\\] \\[99,99,99\\]\\]\n",
+    "\n",
+    "*creating a identity matrix* j=np.identity(4) print(j)\n",
+    "\n",
+    "—\\> \\[\\[1,0,0,0\\] \\[0,1,0,0\\] \\[0,0,1,0\\] \\[0,0,0,1\\]\\]\n",
+    "\n",
+    "*some mathematical tool* np.cos(a) np.sin(a) a/2 a\\*\\*2 (gives all the\n",
+    "elements raised to the power 2)\n",
+    "\n",
+    "*matrix multiplication* np.matmul(a,b)"
+   ]
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}

From 95d63f9b747d01d12711047da20096a577cb92b5 Mon Sep 17 00:00:00 2001
From: 6Tgraybird <107027564+6Tgraybird@users.noreply.github.com>
Date: Wed, 8 Jun 2022 00:53:40 +0530
Subject: [PATCH 2/6] Add files via upload

---
 w1/anacondasetup.md       | 35 ++++++++++++++++++++++
 w1/jupiter_guide.ipynb    | 29 +++++++++++++++++++
 w1/matplotlib_guide.ipynb | 61 +++++++++++++++++++++++++++++++++++++++
 w1/numpy_guide.ipynb      | 59 +++++++++++++++++++++++++++++++++++++
 4 files changed, 184 insertions(+)
 create mode 100644 w1/anacondasetup.md
 create mode 100644 w1/jupiter_guide.ipynb
 create mode 100644 w1/matplotlib_guide.ipynb
 create mode 100644 w1/numpy_guide.ipynb

diff --git a/w1/anacondasetup.md b/w1/anacondasetup.md
new file mode 100644
index 0000000..7e82d51
--- /dev/null
+++ b/w1/anacondasetup.md
@@ -0,0 +1,35 @@
+## Basis Of Learning##
+SnT project 2022
+
+## step 1- Installing anacoda ##
+download anaconda distribution from https://www.anaconda.com/download/#windows
+install with all the packages.
+
+## conda installation ##
+Open anaconda navigator 
+In the anaconda navigator open powershell prompt there run the following commands 
+         conda -V
+it shows the version of conda installed on the windows
+
+## creating virtual environments in conda ##
+           conda create -n name_of_the_file python=3.9
+this creates a Venvironment 
+
+## to activate VEnvironment
+
+          conda activate deeplearn
+
+## to install numpy,pandas,matplotlib
+
+          conda install numpy
+          conda install pandas
+          conda install matplotlib
+
+
+## to check the version of the various libraries
+
+         print(numpy.__version__)
+         print(pandas.__version__)
+         print(matplotlib.__version__)
+         
+## completed with the anaconda distribution and created environments 
\ No newline at end of file
diff --git a/w1/jupiter_guide.ipynb b/w1/jupiter_guide.ipynb
new file mode 100644
index 0000000..6d5d736
--- /dev/null
+++ b/w1/jupiter_guide.ipynb
@@ -0,0 +1,29 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "after installing anaconda open anaconda navigator and then jupyter\n",
+    "notebook\n",
+    "\n",
+    "to create a new file in the notebook click on the “new”,and then select\n",
+    "the type of the file you want to create.\n",
+    "\n",
+    "if you create a python3 kernel notebook then you need to rename it by\n",
+    "clicking onthe topmost point right of the jupyter\n",
+    "\n",
+    "type the commands in the IN box and then for execution click on “run”\n",
+    "\n",
+    "the file by default get saved in cdrive . so we have created the file\n",
+    "now code for eg. print(“BcS OP”) after the completion of the file you\n",
+    "need to save\n",
+    "\n",
+    "and we completed the jupyter setup"
+   ]
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/w1/matplotlib_guide.ipynb b/w1/matplotlib_guide.ipynb
new file mode 100644
index 0000000..343055f
--- /dev/null
+++ b/w1/matplotlib_guide.ipynb
@@ -0,0 +1,61 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## install matplotlib library using conda environment\n",
+    "\n",
+    "In the python3 kerenel import matplotlib.pyplot as plt\n",
+    "\n",
+    "## plotting methods\n",
+    "\n",
+    "by plot function you create a graph and to display it show function used\n",
+    "\n",
+    "\\*\\*\\*\\*\\*\\*line graph\\*\\*\\* plt.plot(\\[1,2,3\\],\\[4,5,6\\]) plt.show()\n",
+    "\n",
+    "## attributes\n",
+    "\n",
+    "\\*\\*label function is used to create axis names\n",
+    "\n",
+    "plt.plot(\\[1,2,3\\],\\[4,5,6\\]) plt.xlabel(“jkl”) plt.ylabel(“lkj”)\n",
+    "plt.show()\n",
+    "\n",
+    "**title function is used to give graph a name **legend is used in bar\n",
+    "and histogram\n",
+    "\n",
+    "plt.title(“regression_demo”) plt.legend()\n",
+    "\n",
+    "\\*\\*\\*\\*\\*\\*bar graph label for each bar and color for different graph\n",
+    "\n",
+    "plt.bar(\\[1,2,3\\],\\[4,5,6\\],label=“pros”,color=‘g’)\n",
+    "plt.bar(\\[7,8,9\\],\\[10,5,8\\],label=“os”,color=‘k’) plt.show()\n",
+    "\n",
+    "\\*\\*linewidth is used for differing line width\n",
+    "\n",
+    "plt.bar(\\[1,2,3\\],\\[4,5,6\\],label=“pros”,color=‘g’,linewidth=10)\n",
+    "plt.bar(\\[7,8,9\\],\\[10,5,8\\],label=“os”,color=‘k’,linewidth=14)\n",
+    "plt.show()\n",
+    "\n",
+    "\\*\\*grid is used for developing a grid\n",
+    "\n",
+    "plt.bar(\\[1,2,3\\],\\[4,5,6\\],label=“pros”,color=‘g’,linewidth=10)\n",
+    "plt.bar(\\[7,8,9\\],\\[10,5,8\\],label=“os”,color=‘k’,linewidth=14)\n",
+    "plt.grid(‘true’,color=‘c’) plt.show()\n",
+    "\n",
+    "\\*\\*\\*\\*\\*\\*histogram\n",
+    "\n",
+    "bins=\\[0,10,20,30,40,50,60,70,80,90,100\\]\n",
+    "ghbc=\\[0,22,33,21,30,45,54,56,55,87,54,90,54\\]\n",
+    "plt.hist(ghbc,bins,histtype=‘bar’,color=‘r’,rwidth=0.8)\n",
+    "\n",
+    "\\*\\*\\*\\*\\*\\*scatter\n",
+    "\n",
+    "x=\\[1.2.3.4.5\\] y=\\[2,0,8,7,6\\] plt.scatter(x,y,color=‘r’) plt.show()"
+   ]
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}
diff --git a/w1/numpy_guide.ipynb b/w1/numpy_guide.ipynb
new file mode 100644
index 0000000..f3e9efb
--- /dev/null
+++ b/w1/numpy_guide.ipynb
@@ -0,0 +1,59 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## install the numpy library in conda environment\n",
+    "\n",
+    "In the notebook python kernel import numpy as np\n",
+    "\n",
+    "## creation of numpy arrays\n",
+    "\n",
+    "a=np.array(\\[elements\\]) eg. a=np.array(\\[1,2,3,4,5\\]) print(a)\n",
+    "—\\>\\[1,2,3,4,5\\]\n",
+    "\n",
+    "you can create a 2D array or nD array eg.\n",
+    "a=np.array(\\[\\[1,2,3\\],\\[4,5,6\\]\\]) print(a) —-\\>\\[\\[1,2,3\\] \\[4,5,6\\]\\]\n",
+    "\n",
+    "## attributes of arrays\n",
+    "\n",
+    "consider a array ‘a’ a=np.array(\\[1,2,3\\])\n",
+    "\n",
+    "*dimensions* a.ndim\n",
+    "\n",
+    "*shape* //gives the no.of rows,colns a.shape\n",
+    "\n",
+    "*type * a.dtype dtype’int32’ (output here)\n",
+    "\n",
+    "*itemsize* a.itemsize 4\n",
+    "\n",
+    "*nbytes* —-\\> gives total size of the array a.nbytes 12\n",
+    "\n",
+    "*getting a specific element* a\\[0,2\\] ——\\>3\n",
+    "\n",
+    "*getting a row* a\\[0,:\\] \\[1,2,3\\]\n",
+    "\n",
+    "*creating a array full of one or zero element* b=np.ones((2,3)\n",
+    ",dtype=‘int32’) print(b) ———\\>\\[\\[1,1,1\\] \\[1,1,1\\]\\]\n",
+    "\n",
+    "*creating a array full of same element*\n",
+    "h=np.full((2,3),99,dtype=‘int32’) print(h)\n",
+    "\n",
+    "—-\\> \\[\\[99,99,99\\] \\[99,99,99\\]\\]\n",
+    "\n",
+    "*creating a identity matrix* j=np.identity(4) print(j)\n",
+    "\n",
+    "—\\> \\[\\[1,0,0,0\\] \\[0,1,0,0\\] \\[0,0,1,0\\] \\[0,0,0,1\\]\\]\n",
+    "\n",
+    "*some mathematical tool* np.cos(a) np.sin(a) a/2 a\\*\\*2 (gives all the\n",
+    "elements raised to the power 2)\n",
+    "\n",
+    "*matrix multiplication* np.matmul(a,b)"
+   ]
+  }
+ ],
+ "nbformat": 4,
+ "nbformat_minor": 5,
+ "metadata": {}
+}

From 64625edcb3f0869f4d64208191907ed9c1c08cb1 Mon Sep 17 00:00:00 2001
From: 6Tgraybird <107027564+6Tgraybird@users.noreply.github.com>
Date: Wed, 8 Jun 2022 00:55:46 +0530
Subject: [PATCH 3/6] Delete anacondasetup.md

---
 anacondasetup.md | 35 -----------------------------------
 1 file changed, 35 deletions(-)
 delete mode 100644 anacondasetup.md

diff --git a/anacondasetup.md b/anacondasetup.md
deleted file mode 100644
index 7e82d51..0000000
--- a/anacondasetup.md
+++ /dev/null
@@ -1,35 +0,0 @@
-## Basis Of Learning##
-SnT project 2022
-
-## step 1- Installing anacoda ##
-download anaconda distribution from https://www.anaconda.com/download/#windows
-install with all the packages.
-
-## conda installation ##
-Open anaconda navigator 
-In the anaconda navigator open powershell prompt there run the following commands 
-         conda -V
-it shows the version of conda installed on the windows
-
-## creating virtual environments in conda ##
-           conda create -n name_of_the_file python=3.9
-this creates a Venvironment 
-
-## to activate VEnvironment
-
-          conda activate deeplearn
-
-## to install numpy,pandas,matplotlib
-
-          conda install numpy
-          conda install pandas
-          conda install matplotlib
-
-
-## to check the version of the various libraries
-
-         print(numpy.__version__)
-         print(pandas.__version__)
-         print(matplotlib.__version__)
-         
-## completed with the anaconda distribution and created environments 
\ No newline at end of file

From e2f529973f9530fb75544922e0aaa27af8849b99 Mon Sep 17 00:00:00 2001
From: 6Tgraybird <107027564+6Tgraybird@users.noreply.github.com>
Date: Wed, 8 Jun 2022 00:55:59 +0530
Subject: [PATCH 4/6] Delete jupiter_guide.ipynb

---
 jupiter_guide.ipynb | 29 -----------------------------
 1 file changed, 29 deletions(-)
 delete mode 100644 jupiter_guide.ipynb

diff --git a/jupiter_guide.ipynb b/jupiter_guide.ipynb
deleted file mode 100644
index 6d5d736..0000000
--- a/jupiter_guide.ipynb
+++ /dev/null
@@ -1,29 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "after installing anaconda open anaconda navigator and then jupyter\n",
-    "notebook\n",
-    "\n",
-    "to create a new file in the notebook click on the “new”,and then select\n",
-    "the type of the file you want to create.\n",
-    "\n",
-    "if you create a python3 kernel notebook then you need to rename it by\n",
-    "clicking onthe topmost point right of the jupyter\n",
-    "\n",
-    "type the commands in the IN box and then for execution click on “run”\n",
-    "\n",
-    "the file by default get saved in cdrive . so we have created the file\n",
-    "now code for eg. print(“BcS OP”) after the completion of the file you\n",
-    "need to save\n",
-    "\n",
-    "and we completed the jupyter setup"
-   ]
-  }
- ],
- "nbformat": 4,
- "nbformat_minor": 5,
- "metadata": {}
-}

From 4f96b2248a5545a91e974b14ade8aca60128c618 Mon Sep 17 00:00:00 2001
From: 6Tgraybird <107027564+6Tgraybird@users.noreply.github.com>
Date: Wed, 8 Jun 2022 00:56:19 +0530
Subject: [PATCH 5/6] Delete matplotlib_guide.ipynb

---
 matplotlib_guide.ipynb | 61 ------------------------------------------
 1 file changed, 61 deletions(-)
 delete mode 100644 matplotlib_guide.ipynb

diff --git a/matplotlib_guide.ipynb b/matplotlib_guide.ipynb
deleted file mode 100644
index 343055f..0000000
--- a/matplotlib_guide.ipynb
+++ /dev/null
@@ -1,61 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## install matplotlib library using conda environment\n",
-    "\n",
-    "In the python3 kerenel import matplotlib.pyplot as plt\n",
-    "\n",
-    "## plotting methods\n",
-    "\n",
-    "by plot function you create a graph and to display it show function used\n",
-    "\n",
-    "\\*\\*\\*\\*\\*\\*line graph\\*\\*\\* plt.plot(\\[1,2,3\\],\\[4,5,6\\]) plt.show()\n",
-    "\n",
-    "## attributes\n",
-    "\n",
-    "\\*\\*label function is used to create axis names\n",
-    "\n",
-    "plt.plot(\\[1,2,3\\],\\[4,5,6\\]) plt.xlabel(“jkl”) plt.ylabel(“lkj”)\n",
-    "plt.show()\n",
-    "\n",
-    "**title function is used to give graph a name **legend is used in bar\n",
-    "and histogram\n",
-    "\n",
-    "plt.title(“regression_demo”) plt.legend()\n",
-    "\n",
-    "\\*\\*\\*\\*\\*\\*bar graph label for each bar and color for different graph\n",
-    "\n",
-    "plt.bar(\\[1,2,3\\],\\[4,5,6\\],label=“pros”,color=‘g’)\n",
-    "plt.bar(\\[7,8,9\\],\\[10,5,8\\],label=“os”,color=‘k’) plt.show()\n",
-    "\n",
-    "\\*\\*linewidth is used for differing line width\n",
-    "\n",
-    "plt.bar(\\[1,2,3\\],\\[4,5,6\\],label=“pros”,color=‘g’,linewidth=10)\n",
-    "plt.bar(\\[7,8,9\\],\\[10,5,8\\],label=“os”,color=‘k’,linewidth=14)\n",
-    "plt.show()\n",
-    "\n",
-    "\\*\\*grid is used for developing a grid\n",
-    "\n",
-    "plt.bar(\\[1,2,3\\],\\[4,5,6\\],label=“pros”,color=‘g’,linewidth=10)\n",
-    "plt.bar(\\[7,8,9\\],\\[10,5,8\\],label=“os”,color=‘k’,linewidth=14)\n",
-    "plt.grid(‘true’,color=‘c’) plt.show()\n",
-    "\n",
-    "\\*\\*\\*\\*\\*\\*histogram\n",
-    "\n",
-    "bins=\\[0,10,20,30,40,50,60,70,80,90,100\\]\n",
-    "ghbc=\\[0,22,33,21,30,45,54,56,55,87,54,90,54\\]\n",
-    "plt.hist(ghbc,bins,histtype=‘bar’,color=‘r’,rwidth=0.8)\n",
-    "\n",
-    "\\*\\*\\*\\*\\*\\*scatter\n",
-    "\n",
-    "x=\\[1.2.3.4.5\\] y=\\[2,0,8,7,6\\] plt.scatter(x,y,color=‘r’) plt.show()"
-   ]
-  }
- ],
- "nbformat": 4,
- "nbformat_minor": 5,
- "metadata": {}
-}

From 68ab4ddd4998d6067945f7f923249b9a8f003f1e Mon Sep 17 00:00:00 2001
From: 6Tgraybird <107027564+6Tgraybird@users.noreply.github.com>
Date: Wed, 8 Jun 2022 00:56:33 +0530
Subject: [PATCH 6/6] Delete numpy_guide.ipynb

---
 numpy_guide.ipynb | 59 -----------------------------------------------
 1 file changed, 59 deletions(-)
 delete mode 100644 numpy_guide.ipynb

diff --git a/numpy_guide.ipynb b/numpy_guide.ipynb
deleted file mode 100644
index f3e9efb..0000000
--- a/numpy_guide.ipynb
+++ /dev/null
@@ -1,59 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## install the numpy library in conda environment\n",
-    "\n",
-    "In the notebook python kernel import numpy as np\n",
-    "\n",
-    "## creation of numpy arrays\n",
-    "\n",
-    "a=np.array(\\[elements\\]) eg. a=np.array(\\[1,2,3,4,5\\]) print(a)\n",
-    "—\\>\\[1,2,3,4,5\\]\n",
-    "\n",
-    "you can create a 2D array or nD array eg.\n",
-    "a=np.array(\\[\\[1,2,3\\],\\[4,5,6\\]\\]) print(a) —-\\>\\[\\[1,2,3\\] \\[4,5,6\\]\\]\n",
-    "\n",
-    "## attributes of arrays\n",
-    "\n",
-    "consider a array ‘a’ a=np.array(\\[1,2,3\\])\n",
-    "\n",
-    "*dimensions* a.ndim\n",
-    "\n",
-    "*shape* //gives the no.of rows,colns a.shape\n",
-    "\n",
-    "*type * a.dtype dtype’int32’ (output here)\n",
-    "\n",
-    "*itemsize* a.itemsize 4\n",
-    "\n",
-    "*nbytes* —-\\> gives total size of the array a.nbytes 12\n",
-    "\n",
-    "*getting a specific element* a\\[0,2\\] ——\\>3\n",
-    "\n",
-    "*getting a row* a\\[0,:\\] \\[1,2,3\\]\n",
-    "\n",
-    "*creating a array full of one or zero element* b=np.ones((2,3)\n",
-    ",dtype=‘int32’) print(b) ———\\>\\[\\[1,1,1\\] \\[1,1,1\\]\\]\n",
-    "\n",
-    "*creating a array full of same element*\n",
-    "h=np.full((2,3),99,dtype=‘int32’) print(h)\n",
-    "\n",
-    "—-\\> \\[\\[99,99,99\\] \\[99,99,99\\]\\]\n",
-    "\n",
-    "*creating a identity matrix* j=np.identity(4) print(j)\n",
-    "\n",
-    "—\\> \\[\\[1,0,0,0\\] \\[0,1,0,0\\] \\[0,0,1,0\\] \\[0,0,0,1\\]\\]\n",
-    "\n",
-    "*some mathematical tool* np.cos(a) np.sin(a) a/2 a\\*\\*2 (gives all the\n",
-    "elements raised to the power 2)\n",
-    "\n",
-    "*matrix multiplication* np.matmul(a,b)"
-   ]
-  }
- ],
- "nbformat": 4,
- "nbformat_minor": 5,
- "metadata": {}
-}