Introduction to Programming with Python Notes | B.Sc. (Computer Science) Semester 1 | Mumbai University | munotes

Contents

Module I Overview and basic elements, control statements, arrays, functions and strings

1. What Python Is, and the Features That Made It Popular 1
2. Installing Python and Running Your First Program 7
3. How a Python Program Is Executed: Source, Bytecode and the PVM 11
4. The Flavours of Python 15
5. The Python Interpreter: The Prompt and the Command Line 18
6. Comments and Docstrings 22
7. IDLE: Python's Own Editor and Shell 26
8. The Data Types Python Gives You 30
9. Dictionaries, Sets and Mappings: A First Look 35
10. The Basic Elements of a Python Program 39
11. Variables and How Python Stores a Value 44
12. Reading Input: The input() Function 48
13. Printing Output: The print() Function 52
14. Command Line Arguments 56
15. Operators, Part One: Arithmetic, Relational and Logical 59
16. Operators, Part Two: Bitwise, Assignment, Membership and Identity 63
17. Precedence and Associativity of Operators 68
18. The if Statement 73
19. The if...else Statement 77
20. The if...elif...else Statement 80
21. The while Loop 84
22. The for Loop and range() 88
23. Infinite Loops and Nested Loops 92
24. The else Suite on a Loop 97
25. break, continue and pass 100
26. The assert Statement 104
27. The return Statement 108
28. Arrays: Creating Them with the array Module 112
29. Indexing and Slicing an Array 116
30. Basic Array Operations and Array Processing 120
31. Mathematical Operations on an Array with NumPy 125
32. Aliasing, Viewing and Copying an Array 129
33. Slicing and Indexing a NumPy Array 134
34. Advanced Indexing: Integer Arrays and Boolean Masks 138
35. The Dimensions and Attributes of an Array 143
36. Defining a Function and Calling It 148
37. Returning Results, and Returning More Than One 152
38. The Built-in Functions 156
39. A Function and a Method: The Difference 160
40. How Python Passes a Value: Object Reference 164
41. Parameters and Arguments 168
42. Recursive Functions 172
43. Anonymous Functions: lambda 177
44. Modules in Python 181
45. Creating Strings 186
46. The Functions and Methods of a String 190
47. Working with Strings 194
48. Formatting Strings 198
49. Counting Characters and Words in a String 202
50. Inserting a Substring into a String 206
51. Module 1 Practicals: The Programs for Your Journal 210

Module II Lists, tuples and dictionaries, files, regular expressions, and date and time

1. Lists: What They Are and How to Make One 217
2. List Functions and Methods 222
3. List Operations 226
4. List Slices 231
5. Nested Lists, and the Matrix 235
6. Tuples 240
7. The Functions That Work on a Tuple 244
8. Creating a Dictionary 248
9. Operators in a Dictionary 253
10. Dictionary Methods 257
11. Looping Over a Dictionary 261
12. Operations on Dictionaries 265
13. Opening and Closing a File 269
14. Working with Text Files 273
15. The with Statement 277
16. Working with Binary Files 281
17. Pickle: Storing an Object in a File 285
18. seek() and tell(): Where You Are in a File 290
19. Random Access to a Binary File 295
20. Zipping and Unzipping Files 300
21. Working with Directories 305
22. Regular Expressions: What They Are and Why 310
23. Sequence Characters in a Regular Expression 315
24. Special Characters in a Regular Expression 320
25. Using a Regular Expression on a File 325
26. Retrieving Information from an HTML File 330
27. Time in Python 335
28. Dates 339
29. The Date and Time Now, and Combining Them 343
30. Formatting a Date and a Time 347
31. Finding and Comparing Dates 352
32. Sorting Dates 357
33. Knowing the Time a Program Takes 362
34. Working with the Calendar Module 367
35. Module 2 Practicals: The Programs for Your Journal 373
36. The Practical Examination, the Journal and the Viva 383