Skip to content

Commit aec034a

Browse files
AkashBorgalliAkashBorgalli
authored
Check Markdowns & Comments for more clarity
1 parent d0e70f8 commit aec034a

File tree

1 file changed

+309
-0
lines changed

1 file changed

+309
-0
lines changed

‎Assignment-9.ipynb

+309
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,309 @@
1+
{
2+
"cells": [
3+
{
4+
"cell_type": "markdown",
5+
"metadata": {},
6+
"source": [
7+
"## Alternatively referred to as a partial path or non-absolute path, a relative path is a URL that only contains a portion of the full path."
8+
]
9+
},
10+
{
11+
"cell_type": "markdown",
12+
"metadata": {},
13+
"source": [
14+
"## An absolute path is defined as specifying the location of a file or directory from the root directory(/). In other words,we can say that an absolute path is a complete path from start of actual file system from / directory."
15+
]
16+
},
17+
{
18+
"cell_type": "markdown",
19+
"metadata": {},
20+
"source": [
21+
"## On Windows, what does Path('C:/Users') / 'Al' evaluate to?\n",
22+
"## Ans : It is invalid path"
23+
]
24+
},
25+
{
26+
"cell_type": "markdown",
27+
"metadata": {},
28+
"source": [
29+
"## On Windows, what does 'C:/Users' / 'Al' evaluate to?\n",
30+
"## Answer: It is unable to find AI so it is giving this error ,The system cannot find the path specified."
31+
]
32+
},
33+
{
34+
"cell_type": "code",
35+
"execution_count": 2,
36+
"metadata": {},
37+
"outputs": [
38+
{
39+
"data": {
40+
"application/javascript": [
41+
"\n",
42+
" if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import os'); }\n",
43+
" "
44+
],
45+
"text/plain": [
46+
"<IPython.core.display.Javascript object>"
47+
]
48+
},
49+
"metadata": {},
50+
"output_type": "display_data"
51+
},
52+
{
53+
"data": {
54+
"text/plain": [
55+
"'C:\\\\Users\\\\91706\\\\Python Assignments'"
56+
]
57+
},
58+
"execution_count": 2,
59+
"metadata": {},
60+
"output_type": "execute_result"
61+
}
62+
],
63+
"source": [
64+
"## returns the current working directory\n",
65+
"os.getcwd()"
66+
]
67+
},
68+
{
69+
"cell_type": "code",
70+
"execution_count": 3,
71+
"metadata": {},
72+
"outputs": [
73+
{
74+
"data": {
75+
"application/javascript": [
76+
"\n",
77+
" if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import os'); }\n",
78+
" "
79+
],
80+
"text/plain": [
81+
"<IPython.core.display.Javascript object>"
82+
]
83+
},
84+
"metadata": {},
85+
"output_type": "display_data"
86+
}
87+
],
88+
"source": [
89+
"## changes the current working directory\n",
90+
"os.chdir(r'C:\\\\Users\\\\91706\\\\Python-ML Tutorials')"
91+
]
92+
},
93+
{
94+
"cell_type": "code",
95+
"execution_count": 4,
96+
"metadata": {},
97+
"outputs": [
98+
{
99+
"data": {
100+
"application/javascript": [
101+
"\n",
102+
" if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import os'); }\n",
103+
" "
104+
],
105+
"text/plain": [
106+
"<IPython.core.display.Javascript object>"
107+
]
108+
},
109+
"metadata": {},
110+
"output_type": "display_data"
111+
},
112+
{
113+
"data": {
114+
"text/plain": [
115+
"'C:\\\\Users\\\\91706\\\\Python-ML Tutorials'"
116+
]
117+
},
118+
"execution_count": 4,
119+
"metadata": {},
120+
"output_type": "execute_result"
121+
}
122+
],
123+
"source": [
124+
"os.getcwd()"
125+
]
126+
},
127+
{
128+
"cell_type": "markdown",
129+
"metadata": {},
130+
"source": [
131+
"## The . folder is the current folder, and .. is the parent folder"
132+
]
133+
},
134+
{
135+
"cell_type": "markdown",
136+
"metadata": {},
137+
"source": [
138+
"## C:\\bacon\\eggs is the dir name, while spam.txt is the base name"
139+
]
140+
},
141+
{
142+
"cell_type": "markdown",
143+
"metadata": {},
144+
"source": [
145+
"## The string 'r' for read mode, 'w' for write mode, and 'a' for append mode"
146+
]
147+
},
148+
{
149+
"cell_type": "markdown",
150+
"metadata": {},
151+
"source": [
152+
"## If existing file is opened in write mode the it is erased and completely overwritten."
153+
]
154+
},
155+
{
156+
"cell_type": "code",
157+
"execution_count": 10,
158+
"metadata": {},
159+
"outputs": [
160+
{
161+
"data": {
162+
"application/javascript": [
163+
"\n",
164+
" if (window._pyforest_update_imports_cell) { window._pyforest_update_imports_cell('import os'); }\n",
165+
" "
166+
],
167+
"text/plain": [
168+
"<IPython.core.display.Javascript object>"
169+
]
170+
},
171+
"metadata": {},
172+
"output_type": "display_data"
173+
}
174+
],
175+
"source": [
176+
"os.chdir(r'C:\\\\Users\\\\91706\\\\Python Assignments')\n"
177+
]
178+
},
179+
{
180+
"cell_type": "code",
181+
"execution_count": 12,
182+
"metadata": {},
183+
"outputs": [
184+
{
185+
"name": "stdout",
186+
"output_type": "stream",
187+
"text": [
188+
"b'Hi, I am Akash.\\nI work in Capgemini as MuleSoft Developer.\\nI live in Mumbai.\\n'\n",
189+
"Closed the file successfully!!\n"
190+
]
191+
}
192+
],
193+
"source": [
194+
"import os, sys\n",
195+
"# Open a file\n",
196+
"fd = os.open(\"Sample.txt\",os.O_RDWR)\n",
197+
"# Reading text using read function\n",
198+
"result = os.read(fd,150)\n",
199+
"print(result)\n",
200+
"# Close opened file\n",
201+
"os.close(fd)\n",
202+
"print(\"Closed the file successfully!!\")"
203+
]
204+
},
205+
{
206+
"cell_type": "code",
207+
"execution_count": 17,
208+
"metadata": {},
209+
"outputs": [
210+
{
211+
"name": "stdout",
212+
"output_type": "stream",
213+
"text": [
214+
"['Hi, I am Akash.\\n', 'I work in Capgemini as MuleSoft Developer.\\n', 'I live in Mumbai.\\n']\n"
215+
]
216+
}
217+
],
218+
"source": [
219+
"## The readlines() method returns a list containing each line in the file as a list item.\n",
220+
"f = open(\"Sample.txt\", \"r\")\n",
221+
"print(f.readlines(150))"
222+
]
223+
},
224+
{
225+
"cell_type": "markdown",
226+
"metadata": {},
227+
"source": [
228+
"## Difference between read() and readlines() is read return file contents as single string whereas, readlines returns a list where each string is a line from file contents"
229+
]
230+
},
231+
{
232+
"cell_type": "markdown",
233+
"metadata": {},
234+
"source": [
235+
"## A shelf value resembles a dictionary value; it has keys and values, along with keys() and values() methods that work similarly to the dictionary methods of the same names."
236+
]
237+
},
238+
{
239+
"cell_type": "code",
240+
"execution_count": 18,
241+
"metadata": {},
242+
"outputs": [],
243+
"source": [
244+
"# At first, we have to import the 'Shelve' module. \n",
245+
"import shelve \n",
246+
" \n",
247+
"# In this step, we create a shelf file. \n",
248+
"shfile = shelve.open(\"shelf_file\") \n",
249+
" \n",
250+
"# we create a data object which in this case is a book_list. \n",
251+
"my_movie_list =['Avengers', 'Venom', \n",
252+
" 'A_Quiet_Place'] \n",
253+
" \n",
254+
"# we are assigning a dictionary key to the list \n",
255+
"# which we will want to retrieve \n",
256+
"shfile['movie_list']= my_movie_list \n",
257+
" \n",
258+
"# now, we simply close the shelf file. \n",
259+
"shfile.close() "
260+
]
261+
},
262+
{
263+
"cell_type": "code",
264+
"execution_count": 19,
265+
"metadata": {},
266+
"outputs": [
267+
{
268+
"name": "stdout",
269+
"output_type": "stream",
270+
"text": [
271+
"['Avengers', 'Venom', 'A_Quiet_Place']\n"
272+
]
273+
}
274+
],
275+
"source": [
276+
"# In this step, we create a shelf file. \n",
277+
"var = shelve.open(\"shelf_file\") \n",
278+
" \n",
279+
"# Now, this 'var' variable points to all the \n",
280+
"# data objects in the file 'shelf_file'. \n",
281+
"print(var['movie_list']) \n",
282+
" \n",
283+
"# now, we simply close the file 'shelf_file'. \n",
284+
"var.close() "
285+
]
286+
}
287+
],
288+
"metadata": {
289+
"kernelspec": {
290+
"display_name": "Python 3",
291+
"language": "python",
292+
"name": "python3"
293+
},
294+
"language_info": {
295+
"codemirror_mode": {
296+
"name": "ipython",
297+
"version": 3
298+
},
299+
"file_extension": ".py",
300+
"mimetype": "text/x-python",
301+
"name": "python",
302+
"nbconvert_exporter": "python",
303+
"pygments_lexer": "ipython3",
304+
"version": "3.8.5"
305+
}
306+
},
307+
"nbformat": 4,
308+
"nbformat_minor": 4
309+
}

0 commit comments

Comments
 (0)