25 |
25 |
26 {{{ Show the slide containing the outline slide }}} |
26 {{{ Show the slide containing the outline slide }}} |
27 |
27 |
28 In this tutorial, we shall look at |
28 In this tutorial, we shall look at |
29 |
29 |
30 * Datatypes in Python |
30 * Datatypes in Python |
31 * Numbers |
31 * Numbers |
32 * Boolean |
32 * Boolean |
33 * Sequence |
33 * Sequence |
34 * Operators in Python |
34 * Operators in Python |
35 * Arithmetic Operators |
35 * Arithmetic Operators |
36 * Boolean Operators |
36 * Boolean Operators |
37 |
37 |
38 * Manipulating Sequence datatypes |
38 * Python Sequence Data types |
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39 * list |
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40 * string |
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41 * tuple |
39 |
42 |
40 .. #[Puneeth: Use double colon only for code blocks.] |
43 .. #[Puneeth: Use double colon only for code blocks.] |
41 .. #[Puneeth: include more details in the outline.] |
44 .. #[Puneeth: include more details in the outline.] |
42 |
45 |
43 with a little hands-on on how they can be applied to the different data types. |
46 with a little hands-on on how they can be applied to the different data types. |
73 If we now see :: |
76 If we now see :: |
74 |
77 |
75 type(a) |
78 type(a) |
76 <type 'int'> |
79 <type 'int'> |
77 |
80 |
78 This means that a is a type of int. Being an int data structure in python |
81 This means that a is a type of int. Being an int data type in python |
79 means that there are various functions that this variable has to manipulate |
82 means that there are various functions that this variable has to manipulate |
80 it different ways. You can explore these by doing, |
83 in different ways. You can explore these by doing, |
81 |
84 |
82 a.<Tab> |
85 a.<Tab> |
83 |
86 |
84 .. #[Puneeth: Why are we suddenly talking of limits? |
87 .. #[Puneeth: Why are we suddenly talking of limits? |
85 .. Something like this would be better. |
88 .. Something like this would be better. |
86 .. int data-type can hold integers of any size. for example - ] |
89 .. int data-type can hold integers of any size. for example - ] |
87 |
90 |
88 *int* datatype can hold integers of any size lets see this by example. |
91 *int* datatype can hold integers of any size lets see this by an example. |
89 |
92 |
90 b = 99999999999999999999 |
93 b = 99999999999999999999 |
91 b |
94 b |
92 |
95 |
93 As you can see even when we put a value of 9 repeated 20 times python did |
96 As you can see even when we put a value of 9 repeated 20 times python did |
94 not complain. However when you asked python to print the number again it |
97 not complain. This is because python's int data-type can hold integers of any |
95 put a capital L at the end. Now if you check the type of this variable b, |
98 size. |
96 :: |
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97 |
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98 type(b) |
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99 <type 'long'> |
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100 |
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101 |
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102 The reason for this is that python recognizes large integer numbers by the |
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103 data type long. However long type and int type share there functions |
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104 and properties. |
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105 |
99 |
106 .. #[Puneeth: again, the clean-up that I talked of above. Decide if you are |
100 .. #[Puneeth: again, the clean-up that I talked of above. Decide if you are |
107 .. talking about the different type of numbers and the datatypes that are |
101 .. talking about the different type of numbers and the datatypes that are |
108 .. used to represent them or if you are talking of the data-types and what |
102 .. used to represent them or if you are talking of the data-types and what |
109 .. kind of numbers they represent. I think you should choose the former.] |
103 .. kind of numbers they represent. I think you should choose the former.] |
140 We can get the absolute value using the function :: |
134 We can get the absolute value using the function :: |
141 |
135 |
142 abs(c) |
136 abs(c) |
143 |
137 |
144 |
138 |
145 |
139 Following is are exercises that you must do. |
146 {{ Slide for memory aid }} |
140 |
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141 %% %% Find the absolute value of 3+4j |
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142 :: |
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143 |
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144 abs(3+4j) |
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145 |
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146 %% %% What is the datatype of number 999999999999999999? Is it |
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147 not int? |
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148 :: |
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149 |
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150 Long |
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151 Big integers are internally stored in python |
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152 as Long datatype. |
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153 |
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154 Please, pause the video here. Do the exercises and then continue. |
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155 |
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156 |
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157 {{ Slide for showing Boolean datatypes }} |
147 |
158 |
148 Python also has Boolean as a built-in type. |
159 Python also has Boolean as a built-in type. |
149 |
160 |
150 Try it out just type :: |
161 Try it out just type :: |
151 |
162 |
243 |
262 |
244 is same as :: |
263 is same as :: |
245 |
264 |
246 a=a/23 |
265 a=a/23 |
247 |
266 |
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267 Following is an (are) exercise(s) that you must do. |
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268 |
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269 %% %% Using python find sqaure root of 3? |
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270 :: |
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271 |
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272 3**0.5 |
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273 |
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274 %% %% Is 3**1/2 and 3**0.5 same |
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275 :: |
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276 No,One gives an int answer and the other float |
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277 |
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278 Please, pause the video here. Do the exercises and then continue. |
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279 |
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280 |
248 Lets now discuss sequence data types in Python. Sequence data types |
281 Lets now discuss sequence data types in Python. Sequence data types |
249 are those in which elements are kept in a sequential order and all the |
282 are those in which elements are kept in a sequential order and all the |
250 elements accessed using index numbers. |
283 elements are accessed using index numbers. |
251 |
284 |
252 .. #[Puneeth: fix the last sentence - it sounds incomplete] |
285 .. #[Puneeth: fix the last sentence - it sounds incomplete] |
253 |
286 |
254 {{{ slide for memory aid }}} |
287 {{{ slide introducing sequence datatype }}} |
255 |
288 |
256 The sequence datatypes in Python are :: |
289 The sequence datatypes in Python are :: |
257 |
290 |
258 * list |
291 * list |
259 * string |
292 * string |
286 greeting_string="hello" |
319 greeting_string="hello" |
287 |
320 |
288 |
321 |
289 greeting_string is now a string variable with the value "hello" |
322 greeting_string is now a string variable with the value "hello" |
290 |
323 |
291 {{{ Memory Aid Slide }}} |
324 {{{ All the different types of strings shown }}} |
292 |
325 |
293 Python strings can actually be defined in three different ways :: |
326 Python strings can actually be defined in three different ways :: |
294 |
327 |
295 k='Single quote' |
328 k='Single quote' |
296 l="Let's see how to include a single quote" |
329 l="Let's see how to include a single quote" |
363 Find maximum using max function and minimum using min:: |
396 Find maximum using max function and minimum using min:: |
364 |
397 |
365 max(num_tuple) |
398 max(num_tuple) |
366 min(greeting_string) |
399 min(greeting_string) |
367 |
400 |
368 Get a sorted list and reversed list using sorted and reversed function :: |
401 Get a sorted list :: |
369 |
402 |
370 sorted(num_list) |
403 sorted(num_list) |
371 reversed(greeting_string) |
404 |
372 |
405 |
373 As a consequence of there order we can access a group of elements of sequence, |
406 As a consequence of there order we can access a group of elements |
374 together. This is called slicing and striding. |
407 in a sequence,together. This is called slicing and striding. |
375 |
408 |
376 .. #[Puneeth: Fix the sentence above. ] |
409 .. #[Puneeth: Fix the sentence above. ] |
377 |
410 |
378 First Slicing |
411 First lets discuss Slicing, |
379 |
412 |
380 Given a list :: |
413 Given a list :: |
381 |
414 |
382 j=[1,2,3,4,5,6] |
415 j=[1,2,3,4,5,6] |
383 |
416 |
504 ' '.join['Now','on','spaces'] |
537 ' '.join['Now','on','spaces'] |
505 |
538 |
506 Note that the list has to be a list of strings to apply join operation. |
539 Note that the list has to be a list of strings to apply join operation. |
507 |
540 |
508 With this we come to the end of this tutorial . |
541 With this we come to the end of this tutorial . |
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542 |
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543 Following is an (are) exercise(s) that you must do. |
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544 |
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545 |
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546 |
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547 %% %% Check if 3 is an element of the list [1,7,5,3,4]. In case |
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548 it is change it to 21. |
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549 :: |
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550 l=[1,7,5,3,4] |
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551 3 in l |
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552 l[3]=21 |
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553 l |
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554 |
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555 %% %% Convert the string "Elizabeth is queen of england" to |
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556 "Elizabeth is queen" |
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557 :: |
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558 |
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559 s="Elizabeth is queen of england" |
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560 stemp=s.split() |
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561 ' '.join(stemp[:3]) |
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562 |
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563 Please, pause the video here. Do the exercise(s) and then continue. |
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564 |
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565 |
509 |
566 |
510 In this tutorial we have discussed |
567 In this tutorial we have discussed |
511 |
568 |
512 1. Number Datatypes , integer,float and complex |
569 1. Number Datatypes , integer,float and complex |
513 2. Boolean and datatype and operators |
570 2. Boolean and datatype and operators |