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    SpicyMags.xyz

    Learn Python by Vivek Berry

    Posted By: ELK1nG
    Learn Python by Vivek Berry

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

    Python Programming

    What you'll learn

    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.

    Requirements

    No programming experience needed.

    You just need a internet connection.

    You just need a PC or Laptop.

    Description

    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.