Learn Python by Vivek Berry - Printable Version

Learn Python by Vivek Berry - Printable Version

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Learn Python by Vivek Berry - BaDshaH - 10-16-2023

[Image: 9b826ae2d95af677f33b716f58aebe7a.jpg]

Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.50 GB | Duration: 21h 0m

Python Programming

[b]What you'll learn[/b]
This course will teach you everything about python programming language.
This course has more than 20 hours of learning so that you can easily understand from basic to advanced concepts in Python programming.
Easy to download software. You just need PC or laptop.
We cover all the topics from statements to loops , sets , tuples ,modules ,files, functions etc.

[b]Requirements[/b]
No programming experience needed.
You just need a internet connection.
You just need a PC or Laptop.

[b]Description[/b]
This tutorial provides basic and advanced concept of python.Our tutorial is designed for beginners and intermediate.Python is a simple, general purpose and high level programming language.Our Python tutorial includes all topics of python programming such as installation ,control statements, Strings, Lists,Tuples, Loops, Dictionary, Modules, Exceptions ,Date and Time ,File I/O, programs etc.We have more than 200 examples you can get in this course.This course has 40 sections for better learning.Python is an easy-to-learn yet powerful and versatile scripting language, which makes it attractive for application Development. Python makes development and debugging fast because no compilation step is included in Python development ,and the edit-test-debug cycle is very fast.Because of its straightforward language framework, Python is easier to understand and write code in.This makes it a fantastic programming language for novices. Additionally, it assists seasoned programmers in writing clearerand error-free code.We made course in such a way that you can easily understand every concept of Python with ease.Python has many third-party libraries that can be used to make its functionally easier.These libraries cover many domains, for example web development ,scientific computing , data analysis, and more.Hope you enjoy our course.

Overview
Section 1: Introduction
Lecture 1 installation on windows
Section 2: Print statement
Lecture 2 Print 1
Lecture 3 Print 2
Section 3: Python comments
Lecture 4 single line comment
Lecture 5 Multiline comment
Lecture 6 Triple quotes comment
Section 4: Python Identifiers
Lecture 7 Identifier
Section 5: Object refrences
Lecture 8 Object refrences
Section 6: Python Variables
Lecture 9 Variable 1
Lecture 10 Different types of variable
Lecture 11 Multiple assignment to variables
Section 7: Python Literals
Lecture 12 string literal
Lecture 13 Numeric literal
Section 8: Python Operators
Lecture 14 Arithmetic Operators
Lecture 15 Comparison operators
Lecture 16 Logical operators
Lecture 17 Membership operators
Section 9: If else statements
Lecture 18 If 1
Lecture 19 If 2
Lecture 20 If else 1
Lecture 21 If else 2
Lecture 22 Else if
Lecture 23 Else if 2
Section 10: Loops
Lecture 24 Loops explain
Lecture 25 For loop 1
Lecture 26 For loop 2
Lecture 27 For loop 3
Lecture 28 For loop 4
Lecture 29 Range 1
Lecture 30 Range 2
Lecture 31 While loop 1
Lecture 32 While loop 2
Section 11: Python Break
Lecture 33 Break 1
Lecture 34 Break 2
Section 12: Python Continue
Lecture 35 Continue
Section 13: Python Pass
Lecture 36 Pass
Section 14: Python Strings
Lecture 37 String 1
Lecture 38 String 2
Lecture 39 String 3
Lecture 40 String 4
Lecture 41 String 5
Lecture 42 String 6
Section 15: Python Lists
Lecture 43 List 1
Lecture 44 List 2
Lecture 45 List 3
Lecture 46 List 4
Lecture 47 List 5
Section 16: List Operator
Lecture 48 List operator 1
Lecture 49 List operator 2
Lecture 50 List operator 3
Lecture 51 List operator 4
Section 17: List Built-in Functions
Lecture 52 List Built-in function
Section 18: Python Tuples
Lecture 53 Tuple
Lecture 54 Tuple Example 1
Lecture 55 Tuple Example 2
Lecture 56 Tuple Example 3
Lecture 57 Tuple Slicing
Lecture 58 Tuple Repetition
Section 19: List vs Tuple
Lecture 59 List vs Tuple 1
Lecture 60 List vs Tuple 2
Lecture 61 List vs Tuple 3
Lecture 62 List vs Tuple 4
Section 20: Python Sets
Lecture 63 Set 1
Lecture 64 Set method
Lecture 65 Set Example 1
Lecture 66 Set Example 2
Lecture 67 Set Example 3
Lecture 68 Set add function
Lecture 69 Set update function
Lecture 70 Set discard method
Lecture 71 Set remove function
Lecture 72 Set clear method
Section 21: More on Python Sets
Lecture 73 Union of set
Lecture 74 Set union method
Lecture 75 Set union example
Lecture 76 Intersection of set
Lecture 77 Intersection of set 2
Lecture 78 Intersection of set 3
Lecture 79 Difference between the sets
Lecture 80 Symmetric difference of set
Lecture 81 Set comparisons
Section 22: Python Dictionary
Lecture 82 Dictionary
Lecture 83 Dictionary Example 1
Lecture 84 Dictionary Example 2
Lecture 85 Adding dictionary values
Lecture 86 Print new data
Lecture 87 Iterating dictionary
Section 23: Python Functions
Lecture 88 Function
Lecture 89 Calling a function
Lecture 90 Pass by reference vs value
Lecture 91 Default argument
Lecture 92 Function argument 2
Lecture 93 Function argument 3
Lecture 94 Return statement
Lecture 95 Anonymous function
Lecture 96 Scope and Lifetime of variables
Section 24: Python Built-in Functions
Lecture 97 abs()
Lecture 98 all()
Lecture 99 any()
Lecture 100 ascii()
Lecture 101 bin()
Lecture 102 bool()
Lecture 103 bytearray()
Lecture 104 bytes()
Lecture 105 callable()
Lecture 106 chr()
Lecture 107 compile()
Lecture 108 complex()
Lecture 109 delattr()
Lecture 110 dict()
Lecture 111 divmod()
Lecture 112 enumerate()
Lecture 113 eval()
Lecture 114 exec()
Lecture 115 filter()
Lecture 116 float()
Lecture 117 format()
Lecture 118 frozenset()
Lecture 119 getattr()
Lecture 120 globals()
Lecture 121 hasattr()
Lecture 122 hex()
Lecture 123 id()
Lecture 124 input()
Lecture 125 int()
Lecture 126 isinstance()
Lecture 127 issubclass()
Lecture 128 iter()
Lecture 129 len()
Lecture 130 list()
Lecture 131 locals()
Lecture 132 map()
Lecture 133 max()
Lecture 134 memoryview()
Lecture 135 min()
Lecture 136 next()
Lecture 137 object()
Lecture 138 oct()
Lecture 139 ord()
Lecture 140 pow()
Lecture 141 print()
Lecture 142 range()
Lecture 143 reversed()
Lecture 144 round()
Lecture 145 set()
Lecture 146 setattr()
Lecture 147 slice()
Lecture 148 sorted()
Lecture 149 str()
Lecture 150 sum()
Lecture 151 tuple()
Lecture 152 type()
Lecture 153 zip()
Section 25: Python Lambda functions
Lecture 154 Lambda function 1
Lecture 155 Lambda function 2
Lecture 156 Lambda function 3
Lecture 157 Lambda function 4
Lecture 158 Distinction between lambda and def function
Lecture 159 Lambda function with filter
Lecture 160 Lambda function with list comprehension
Lecture 161 Lambda function with if-else
Section 26: Python Modules
Lecture 162 Python module
Lecture 163 Renaming the module
Lecture 164 From......import
Lecture 165 Import multiple object
Lecture 166 Locating path of modules
Lecture 167 dir() built-in function
Section 27: Python Exceptions
Lecture 168 Exception vs syntax error
Lecture 169 Try and Except
Lecture 170 Raise an exception
Lecture 171 Assertion in python
Section 28: Python Date
Lecture 172 Date and Time
Lecture 173 Current time
Lecture 174 Formatted time
Lecture 175 Sleep time
Lecture 176 Datetime module
Lecture 177 Calendar module
Lecture 178 Prcal method
Section 29: Python Files I/O
Lecture 179 Python file handling
Lecture 180 Close
Lecture 181 Write method
Lecture 182 Write method 2
Lecture 183 File using for loop
Lecture 184 Readlines function
Lecture 185 Creating a new file
Lecture 186 File pointer position
Lecture 187 Python OS module
Lecture 188 OS module 2
Section 30: Python Assert
Lecture 189 Python assert keyword
Lecture 190 Assertion keyword 2
Section 31: Python List Comprehension
Lecture 191 List comprehension
Lecture 192 List comprehension 2
Lecture 193 List comprehension example
Lecture 194 Using condition
Section 32: Python Collection Module
Lecture 195 Collection module 1
Lecture 196 Collection module 2
Lecture 197 Collection module 3
Lecture 198 Collection module 4
Lecture 199 Collection module 5
Section 33: Python Math Module
Lecture 200 Math module 1
Lecture 201 Math module 2
Lecture 202 Math module 3
Lecture 203 Math module 4
Lecture 204 Ceil
Lecture 205 Value of pi
Lecture 206 Division concept
Lecture 207 dir function
Section 34: Python OS module
Lecture 208 OS module
Lecture 209 Get cwd
Lecture 210 OS.error
Lecture 211 Popen
Lecture 212 Close
Section 35: Python Random module
Lecture 213 Random module
Lecture 214 Randint
Lecture 215 Randrange
Lecture 216 Choice
Lecture 217 Shuffle
Section 36: Python Statistics Module
Lecture 218 Mean
Lecture 219 Median
Lecture 220 Mode
Section 37: Python Arrays
Lecture 221 Array 1
Lecture 222 Array 2
Lecture 223 Del
Lecture 224 Array Concatenation
Section 38: Python Decorator
Lecture 225 Python decorator
Lecture 226 Inner function
Lecture 227 Function return another function
Section 39: Python Generators
Lecture 228 Generator
Lecture 229 yield vs return
Lecture 230 Generator 2
Lecture 231 Memory efficient
Lecture 232 Infinite sequence
Section 40: Python JASON
Lecture 233 JASON
Lecture 234 Straightforward serialization
Lecture 235 Serialization 2
Lecture 236 JASON example
Lecture 237 Tuple into list
Lecture 238 Loads function
Section 41: Python Multiprocessing
Lecture 239 Multiprocessing
Lecture 240 Multiprocessing example
Lecture 241 Queue class
This course is for Beginners as well as intermediate.

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