Uploading Notes

ML/ExerciseNameValidation-200808-183418.py

@@ -0,0 +1,10 @@
+full_name='Ra'
+
+if len(full_name)<3:
+    print("Name is too short")
+
+elif len(full_name) > 50:
+    print("Name is very long")
+
+else:
+    print("Name is validated")

ML/FlipkartTracker-200910-134031.py

@@ -0,0 +1,32 @@
+import requests
+from bs4 import BeautifulSoup
+
+URL = "https://www.flipkart.com/samsung-galaxy-m31-ocean-blue-64-gb/p/itm1268b57512fb8?pid=MOBFPNPS6GTGZHE4&lid=LSTMOBFPNPS6GTGZHE4MR8YKS&marketplace=FLIPKART&srno=s_1_1&otracker=AS_Query_HistoryAutoSuggest_1_3_na_na_na&otracker1=AS_Query_HistoryAutoSuggest_1_3_na_na_na&fm=SEARCH&iid=7ed64fb0-2813-4eba-a188-31510a3200d9.MOBFPNPS6GTGZHE4.SEARCH&ppt=sp&ppn=sp&ssid=mfr9comyls0000001599722937598&qH=72c0d4f69be69bf9"
+
+headers = {
+    "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36 OPR/70.0.3728.106"
+}
+page = requests.get(URL, headers=headers)
+soup = BeautifulSoup(page.content, 'html.parser')
+
+print(page)
+
+
+price3 = soup.find("div", {"class": "_1vC4OE _3qQ9m1"})
+print (price3)
+print(price3.string)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+

ML/GreaterThanOperatorProgram-200808-183418.py

@@ -0,0 +1,16 @@
+my_marks=35
+
+if my_marks>35:
+    print("Congrats you have passed")
+
+if my_marks < 35:
+        print("Sorry you failed")
+
+if my_marks == 35:
+            print("You are on the border")
+
+if my_marks != 100:
+                print("You didnt score 100%")
+
+if my_marks >= 35:
+                print("Congrats you have just passed")

ML/GuessingGame-200808-185627.py

@@ -0,0 +1,15 @@
+secret_number = 9
+
+guess_count = 0
+guess_limit = 3
+
+while guess_count < guess_limit :
+    guess= int(input('Guess: '))
+    guess_count+=1
+    if guess == secret_number:
+        print('You won !')
+        break
+
+else:
+    print('Sorry you guessed all wrong !')
+

ML/HeightConverterProgram-200808-184542.py

@@ -0,0 +1,11 @@
+#Start with input function
+distance = int(input('Input the distance travelled: '))
+unit = input('input unit type i.e K for Kms -  M for Miles :')
+
+if unit.upper() == "K":
+    converted = distance/1.609
+    print(f"You have gone {converted} miles")
+
+else:
+    converted = distance*1.609
+    print(f"You have gone {converted} kms")

ML/Index-201106-105925.ipynb

@@ -0,0 +1,75 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Welcome to Jupyter!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "math.sqrt(4) = 2.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "import math\n",
+    "\n",
+    "print(\"math.sqrt(4) = \" + str(math.sqrt(4)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Printing hello world"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Hello world\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Hello world\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

ML/ListFunctions-200808-180422.py

@@ -0,0 +1,56 @@
+heroes = ["Rajkumar", "ShankarNag", "Vishnu", "Ambi", "Darshan", "Punith"]
+
+# add , remove, check for existence
+
+print(heroes)
+
+# add at the end
+heroes.append("AnanthNag")
+
+# insert at a certain position - other values gets pushed by 1 index
+heroes.insert(2, "Uppi")
+
+# remove elements
+heroes.remove("Punith")
+
+print(heroes)
+
+# clear - give an empty list
+heroes.clear()
+
+# pop an item out of the list - last element
+heroes.pop()
+
+# check if element is in the list - returns the index if exists else throws error
+print(heroes.index("Ambi"))
+
+# not in the list
+# print(heroes.index("Sadhu"))
+
+# also can check using in operator - avoids error
+print("Sadhu" in heroes)
+
+# count the number of occurrences
+print(heroes.count(("Ambi")))
+
+# sort
+heroes.sort()
+
+numbers = [3, 44, 12, 98, 25, 34]
+numbers.sort()
+print(numbers)
+
+# reverse
+numbers.reverse()
+print(numbers)
+
+heroes = ["Rajkumar", "ShankarNag", "Vishnu", "Ambi", "Darshan", "Punith"]
+numbers = [3, 44, 12, 98, 25, 34]
+
+# copy function
+numbers2 = numbers.copy()
+print(numbers2)
+
+# extend
+heroes.extend(numbers)
+print(heroes)

ML/ListFunctions-200808-182054.py

@@ -0,0 +1,56 @@
+heroes = ["Rajkumar", "ShankarNag", "Vishnu", "Ambi", "Darshan", "Punith"]
+
+# add , remove, check for existence
+
+print(heroes)
+
+# add at the end
+heroes.append("AnanthNag")
+
+# insert at a certain position - other values gets pushed by 1 index
+heroes.insert(2, "Uppi")
+
+# remove elements
+heroes.remove("Punith")
+
+print(heroes)
+
+# clear - give an empty list
+heroes.clear()
+
+# pop an item out of the list - last element
+heroes.pop()
+
+# check if element is in the list - returns the index if exists else throws error
+print(heroes.index("Ambi"))
+
+# not in the list
+# print(heroes.index("Sadhu"))
+
+# also can check using in operator - avoids error
+print("Sadhu" in heroes)
+
+# count the number of occurrences
+print(heroes.count(("Ambi")))
+
+# sort
+heroes.sort()
+
+numbers = [3, 44, 12, 98, 25, 34]
+numbers.sort()
+print(numbers)
+
+# reverse
+numbers.reverse()
+print(numbers)
+
+heroes = ["Rajkumar", "ShankarNag", "Vishnu", "Ambi", "Darshan", "Punith"]
+numbers = [3, 44, 12, 98, 25, 34]
+
+# copy function
+numbers2 = numbers.copy()
+print(numbers2)
+
+# extend
+heroes.extend(numbers)
+print(heroes)

ML/ListsProgram-200808-180223.py

@@ -0,0 +1,48 @@
+cricketers = ["Sachin", "Dhoni", "Virat"]
+
+# one value vs multiple value
+# access these values
+
+# what we can put inside a List - strings,number,boolean
+
+cricketers2 = ["Sachin", "Dhoni", "Virat", 1, True]
+
+# how to access individual elements of this list
+
+print(cricketers2)
+
+# lets say access specific value - index
+cricketers3 = ["Sachin", "Dhoni", "Virat"]
+                # 0       1       2
+print(cricketers3[0])
+
+# we can also access back of the list
+cricketers4 = ["Sachin", "Dhoni", "Virat"]
+                # -3         -2      -1
+
+# keep in mind index position 0 vs -1 from back
+
+print(cricketers4[-3])
+
+# last 2 elements in the list
+
+print(cricketers4[1:])
+
+# range - add 3 more to list
+cricketers5 = ["Sachin", "Dhoni", "Virat", "Dravid", "Amarnath", "Sehwag"]
+
+print(cricketers5[1:4])
+
+# beginning to end of list
+print(cricketers5[:])
+
+# original list is not modified
+print(cricketers5[1:4])
+print(cricketers5)
+
+# Modify a list
+cricketers6 = ["Sachin", "Dhoni", "Virat", "Dravid", "Amarnath", "Sehwag"]
+
+cricketers6[2] = "Rohit"
+print(cricketers6)
+

ML/LogicalAndProgram-200808-183018.py

@@ -0,0 +1,9 @@
+has_learned_python = True
+has_degree = True
+
+if has_learned_python and has_degree:
+    print("Shortlist Candidate for interview")
+
+
+
+

ML/LogicalNot-200808-183018.py

@@ -0,0 +1,5 @@
+has_learned_python = True
+is_working_currently = True
+
+if has_learned_python and not is_working_currently:
+    print("Shortlist Candidate for interview")

ML/LogicalOrProgram-200808-183018.py

@@ -0,0 +1,9 @@
+has_learned_python = True
+has_degree = True
+
+if has_learned_python or has_degree:
+    print("Shortlist Candidate for interview")
+
+
+
+

ML/PriceTracker-200907-163352.py

@@ -0,0 +1,65 @@
+import requests
+from bs4 import BeautifulSoup
+
+products_to_track = [
+    {
+        "product_url": "https://www.amazon.in/Samsung-Galaxy-Ocean-Blue-Storage/dp/B07HGJKDQL?ref_=Oct_s9_apbd_orecs_hd_bw_b1yBwdz&pf_rd_r=55ER8G6AQWTCQRMB1Q3V&pf_rd_p=94baa1a4-2f06-554d-82db-8b9866e02276&pf_rd_s=merchandised-search-10&pf_rd_t=BROWSE&pf_rd_i=1805560031&tag=coa_in-21",
+        "name": "Samsung M31",
+        "target_price": 16000
+    },
+    {
+        "product_url": "https://www.amazon.in/Test-Exclusive-668/dp/B07HGH88GL/ref=psdc_1805560031_t1_B07HGJKDQL",
+        "name": "Samsung M21 6GB 128RAM",
+        "target_price":16000
+    },
+    {
+        "product_url": "https://www.amazon.in/Test-Exclusive-553/dp/B0784D7NFQ/ref=sr_1_12?crid=2RE70JAZ07V4M&dchild=1&keywords=redmi+note+9&qid=1599449618&s=electronics&sprefix=redmi+%2Celectronics%2C-1&sr=1-12",
+        "name": "Redmi Note 9 Pro",
+        "target_price":17000
+    },{
+
+    }
+]
+
+def give_product_price(URL):
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36 OPR/70.0.3728.106"
+    }
+    page = requests.get(URL, headers=headers)
+    soup = BeautifulSoup(page.content, 'html.parser')
+
+    product_price = soup.find(id="priceblock_dealprice")
+    if (product_price == None):
+        product_price = soup.find(id="priceblock_ourprice")
+
+
+
+    return product_price.getText()
+
+result_file = open('my_result_file.txt','w')
+
+try:
+    for every_product in products_to_track:
+        product_price_returned = give_product_price(every_product.get("product_url"))
+        print(product_price_returned + " - " + every_product.get("name"))
+
+        my_product_price = product_price_returned[2:]
+        my_product_price = my_product_price.replace(',', '')
+        my_product_price = int(float(my_product_price))
+
+        print(my_product_price)
+        if my_product_price < every_product.get("target_price"):
+            print("Available at your required price")
+            result_file.write(every_product.get(
+                "name") + ' -  \t' + ' Available at Target Price ' + ' Current Price - ' + str(my_product_price) + '\n')
+
+        else:
+            print("Still at current price")
+
+finally :
+    result_file.close()
+
+
+
+
+

ML/SnapDealTracker-200910-134042.py

@@ -0,0 +1,33 @@
+import requests
+from bs4 import BeautifulSoup
+
+
+URL = "https://www.snapdeal.com/product/indus-valley-disposable-face-mask/638539148385"
+
+headers = {
+    "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36 OPR/70.0.3728.106"
+}
+page = requests.get(URL, headers=headers)
+soup = BeautifulSoup(page.content, 'html.parser')
+
+print(page)
+
+price3 = soup.find("span", {"class": "payBlkBig"})
+print(price3)
+print(price3.string)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+

ML/StringsFromBeginning-200808-140221.py

@@ -0,0 +1,82 @@
+
+# strings are plain text
+print("MicroDegree")
+
+# new line in strings
+print("Micro\nDegree")
+
+# can also store it as a variable
+website = "MicroDegree"
+
+print(website + "is where i learn technology")
+
+tutorial = "MicroDegree course in Kannada"
+
+tutorial = "MicroDegree's course in Kannada"
+
+tutorial = 'MicroDegrees course in "Kannada" '
+
+tutorial = 'MicroDegrees course multi line ' \
+           ' in "Kannada" '
+
+print(tutorial)
+
+my_email = ''' Hello sir
+
+I want to apply for this course
+Thank you
+'''
+
+print(my_email)
+
+# access by index - python - internally indexes
+tutorial = "MicroDegree course in Kannada"
+
+print(tutorial[5])
+
+# negative index
+tutorial = "MicroDegree course in Kannada"
+# -2-1
+print(tutorial[-4])
+
+# 0 vs 1
+
+
+tutorial = "MicroDegree course in Kannada"
+
+# character vs string
+print(tutorial[0:3])
+
+# start index
+print(tutorial[0:])
+
+# end index
+print(tutorial[1:])
+
+# python interpreter assumes - 0 as the start index
+print(tutorial[:5])
+
+# start index is 0  and length as end index
+print(tutorial[:])
+
+tutorial_copy = tutorial[:]
+print(tutorial_copy)
+
+# Exercise
+
+state = "Karnataka"
+print(state[1:-1])
+
+# special type of string concatenation - formatted string
+first = 'MicroDegree'
+
+print(f"Hello There {first} is a tutorial site")
+
+formattedString = f"Hello There {first} is a tutorial site"
+print("formayyed string here "+formattedString)
+
+# dynamically access values in string
+use_now = f'Hello ${first} how are you'
+
+
+

ML/TuplesProgram-200808-182244.py

@@ -0,0 +1,14 @@
+
+my_marks = (24, 14, 45, 75, 100)
+
+#once we add - you cannot change - no insert , remove , edit modify
+
+# only 2 methods - no remove,clear,pop
+print(my_marks[2])
+
+# now try assigning and test
+my_marks[1] = 100
+
+gps_loction_my_home = (12.344, 32.123)
+
+

ML/WhileProgram1-200808-185317.py

@@ -0,0 +1,7 @@
+
+initial=1
+while initial<=5:
+    print (initial)
+    initial=initial+1
+
+print("Done")

ML/WorkingWithNumbers-200808-140445.py

@@ -0,0 +1,54 @@
+print(14)
+print(12.3456)
+print(-12.3456)
+
+# also assign to a variable
+my_account_balance = 2145.23
+
+print(12 + 16)  # addition
+
+print(25 / 3)  # division - return floating point
+
+print(25 // 3)  # division - return integer
+
+print(15 % 5)  # remainder of division - modulus operator - 15 mod 3
+
+print(2 ** 3)  # 2 to the power 3
+
+
+# Operator precedence - order of operation
+
+total = 12 + 25 * 2
+print(total)
+
+# order ->  exponential  - multiplication or divi - add or subtract
+# parenthesis has higher
+value = (12 - 2) * (25 + 4)
+
+print(value)
+
+# convert to strings
+print(str(value))  # - helps in printing numbers with string
+
+# try increment  a number -
+x = 1
+x += 4
+
+# Functions in Maths - mathemeatical operations
+my_account_balance = 2145.23
+
+print(round(my_account_balance))  # rounding off decimal
+
+my_account_balance = -2145.23
+print(abs(my_account_balance))  # removes negative - absolute value
+
+print(pow(5, 2))  # 5 to the power of 2
+print(max(123, 324))  # max of 2 nums
+
+# Math functions by importing
+import math
+
+print(math.ceil(my_account_balance))  # round the num
+print(math.floor(my_account_balance))  # chop off the decimal point
+print(math.sqrt(9)) # square root of 9
+

ML/ifElseProgram-200808-182547.py

@@ -0,0 +1,7 @@
+is_pass=True
+
+if is_pass:
+    print("Congrats you are passed")
+
+else:
+    print("Sorry you have failed")

ML/microdegreemlpythonrecap1-201106-130921.ipynb

@@ -0,0 +1 @@
+{"cells":[{"metadata":{},"cell_type":"markdown","source":"## Python fundamentals:\n1. Condition checking\n2. Arrays/Lists\n3. Looping\n4. File I/O"},{"metadata":{},"cell_type":"markdown","source":"### Condition checking"},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"a = 55\nb = 55\nif a>b:\n    print(str(a) + \" > \" + str(b))\nelif a == b:\n    print(str(a) + \" == \" + str(b))\nelse:\n    print(str(a) + \" < \" + str(b))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Array"},{"metadata":{"trusted":true},"cell_type":"code","source":"arr = [2, 4, 6, 8]\narr.append(11)\nfor el in arr:\n    print(el)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Looping"},{"metadata":{"trusted":true},"cell_type":"code","source":"idx = 0\nwhile(idx < len(arr)):\n    print(arr[idx])\n    idx = idx + 1","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### File I/O"},{"metadata":{"trusted":true,"collapsed":true},"cell_type":"code","source":"fd = open(\"/kaggle/input/tips-data/tips.csv\", 'r')\nprint(fd.read())\nfd.close()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"fd_o = open(\"/kaggle/working/sample.csv\", \"w+\")\nfd_o.write(\"Col1,Col2\\n2,4\")\nfd_o.close()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"fd1 = open(\"/kaggle/working/sample.csv\", 'r')\nprint(fd1.read())\nfd1.close()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Installing 3rd party libraries which are not yet installed."},{"metadata":{"trusted":true},"cell_type":"code","source":"#Step-1\nimport pandas as PyPDF2\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#Step-2\n!pip install PyPDF2","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#Step-3:\nimport pandas as PyPDF2","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"},"language_info":{"name":"python","version":"3.7.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":4}

ML/my_sample_data-201106-111147.csv

@@ -0,0 +1,51 @@
+Bill,Tips
+16,0
+23,0
+13,0
+90,5
+56,0
+27,0
+94,6
+52,0
+7,0
+22,0
+90,10
+15,0
+27,0
+93,7
+27,0
+17,0
+120,10
+7,0
+165,5
+67,3
+19,0
+12,0
+78,2
+19,0
+83,5
+45,0
+41,0
+86,4
+37,0
+8,0
+112,8
+22,0
+53,2
+0,0
+100,5
+8,0
+16,0
+35,0
+150,10
+25,0
+48,0
+17,0
+135,5
+10,0
+55,5
+36,4
+17,0
+10,0
+29,0
+11,0

ML/sample-201106-111152.csv

@@ -0,0 +1,4 @@
+Column1,Column2
+Chandan,chandan@some.com
+Darshan,darshan@some.com
+User1, user1@some.com