Главная
Study mode:
on
1
WANT TO LEARN PYTHON? || WHO CAN LEARN PYTHON || HOW LONG IT REQUIRE TO LEARN PYTHON?
2
FEATURES & INSTALLATION OF PYTHON 3.7.0 - PYTHON PROGRAMMING
3
LITERALS ( NUMBERS & STRINGS ) - PYTHON PROGRAMMING
4
DATATYPES , VARIABLES & IDENTIFIERS - PYTHON PROGRAMMING
5
TYPES OF ASSIGNMENT STATEMENTS IN PYTHON - PYTHON PROGRAMMING
6
INPUT & OUTPUT STATEMENTS - PYTHON PROGRAMMING
7
USAGE OF MAP( ) FUNCTION IN PYTHON - PYTHON PROGRAMMING
8
KEYWORDS - PYTHON PROGRAMMING
9
OPERATORS PART 1 (ARITHMETIC , RELATIONAL , UNARY , ASSIGNMENT) - PYTHON PROGRAMMING
10
OPERATORS PART 2 (BITWISE , LOGICAL , MEMBERSHIP , IDENTITY) - PYTHON PROGRAMMING
11
OPERATOR PRECEDENCE & ORDER OF EVALUATION - PYTHON PROGRAMMING
12
DECISION CONTROL STATEMENTS - PART 1 (SIMPLE IF, IF ELSE) - PYTHON PROGRAMMING
13
DECISION CONTROL STATEMENTS - PART 2 (NESTED IF, IF - ELIF - ELSE) - PYTHON PROGRAMMING
14
ITERATIVE CONTROL STATEMENTS - PYTHON PROGRAMMING
15
BREAK AND CONTINUE - PYTHON PROGRAMMING
16
INTRODUCTION TO LISTS AND CREATING LISTS - PYTHON PROGRAMMING
17
ACCESSING & UPDATING ELEMENTS OF A LISTS - PYTHON PROGRAMMING
18
LIST METHODS - PYTHON PROGRAMMING
19
IMPLEMENTATION OF LISTS ( CREATE,ACCESS,UPDATE,DELETE,OPERATIONS,SLICING) - PYTHON PROGRAMMING
20
LIST COMPREHENSION & LOOPING - PYTHON PROGRAMMING
21
PRE-DEFINED MATH FUNCTIONS & CONSTANTS - PYTHON PROGRAMMING
22
GENERATING RANDOM NUMBERS - PYTHON PROGRAMMING
23
STRINGS INITIALIZATION,CONCATENATION & REPETITION PYTHON PROGRAMMING
24
BUILT-IN STRING FUNCTIONS - PYTHON PROGRAMMING
25
PYTHON TUPLES (Creating , Updating , Deleting & Accessing Elements) - PYTHON PROGRAMMING
26
BASIC OPERATIONS ON TUPLES - PYTHON PROGRAMMING
27
INTRODUCTION TO FUNCTIONS - PYTHON PROGRAMMING
28
GLOBAL & LOCAL VARIABLE - PYTHON PROGRAMMING
29
TYPES OF ARGUMENTS IN FUNCTIONS - PYTHON PROGRAMMING
30
IMPLEMENTATION OF ARGUMENT TYPES IN FUNCTIONS - PYTHON PROGRAMMING
31
RECURSION - PYTHON PROGRAMMING
32
FACTORIAL USING RECURSION - PYTHON PROGRAMMING
33
ANONYMOUS FUNCTIONS (LAMBDA) - PYTHON PROGRAMMING
34
IMPLEMENTATION OF ANONYMOUS FUNCTION (LAMBDA) - PYTHON PROGRAMMING
35
SETS INTRODUCTION - PYTHON PROGRAMMING
36
SET OPERATIONS - PYTHON PROGRAMMING
37
IMPLEMENTATION OF SETS - PYTHON PROGRAMMING
38
FILES (OPEN,CLOSE,ACCESS MODES) - PYTHON PROGRAMMING
39
READING & WRITING DATA INTO FILES - PYTHON PROGRAMMING
40
IMPLEMENTATION OF FILES - PYTHON PROGRAMMING
41
DICTIONARIES (CREATION AND ACCESSING) - PYTHON PROGRAMMING
42
DICTIONARIES(ADDITION,MODIFY&DELETE) - PYTHON PROGRAMMING
43
METHODS IN DICTIONARY | DICTIONARY METHODS - PYTHON PROGRAMMING
44
COMMAND LINE ARGUMENTS - PYTHON PROGRAMMING
45
OOPS CONCEPTS | OBJECT ORIENTED PROGRAMMING CONCEPTS IN PYTHON PROGRAMMING
46
CLASSES & OBJECTS - PYTHON PROGRAMMING
47
INHERITANCE(SINGLE,MULTI-LEVEL) - PYTHON PROGRAMMING
48
INHERITANCE(HIERARCHICAL,MULTIPLE) - PYTHON PROGRAMMING
49
ENCAPSULATION WITH EXAMPLE - PYTHON PROGRAMMING
50
ABSTRACT CLASS AND ABSTRACT METHODS - PYTHON PROGRAMMING
51
OVERLOADING (POLYMORPHISM) - PYTHON PROGRAMMING
52
METHOD OVERRIDING (POLYMORPHISM) - PYTHON PROGRAMMING
53
FUNCTIONS IN REGULAR EXPRESSION - PYTHON PROGRAMMING
54
META CHARACTERS AND SPECIAL SEQUENCES IN REGULAR EXPRESSION - PYTHON PROGRAMMING
55
DATE AND TIME MODULE - PYTHON PROGRAMMING
56
HOW TO INSTALL ANACONDA PYTHON DISTRIBUTION ON WINDOWS 10 - PYTHON PROGRAMMING
57
TIMEDELTA( ) FUNCTION | timedelata( ) - PYTHON PROGRAMMING
58
PYTHON LIBRARIES - PYTHON PROGRAMMING
59
DIFFERENCE BETWEEN FUNCTION-METHOD-MODULE-LIBRARY IN PYTHON PROGRAMMING
60
TYPES OF ERRORS IN PYTHON || ERRORS IN PYTHON || PYTHON PROGRAMMING
Description:
Embark on an extensive 18-hour journey into Python programming, perfect for beginners. Learn the fundamentals of Python 3.7.0, including installation, data types, variables, operators, control structures, and essential built-in functions. Explore lists, tuples, strings, and dictionaries while mastering file handling and command-line arguments. Dive into object-oriented programming concepts, covering classes, objects, inheritance, encapsulation, and polymorphism. Gain proficiency in advanced topics such as regular expressions, date and time manipulation, and error handling. Discover Python libraries and understand the distinctions between functions, methods, modules, and libraries. By the end of this comprehensive program, you'll have a solid foundation in Python programming and be well-equipped to tackle more complex projects.

Python Programming for Beginners

Add to list
0:00 / 0:00