Learn To Code For Companies - Python 3 (Volume 1)

For those who love to code

What you'll learn
You will be learning the basic of python and its usage with practical examples.
Will learn to build logics and patterns
Even interview questions will be solved to give you an idea of different ways of solving.
Specially targated the modules like csv , json , xml to give you good understanding of its usage in companies.
Requirements
Will be using google colab for writing code.
No prerequisite. No programming experience needed - I'll teach you everything you need to know
It's desirable to have some minimum basic knowledge of ENGLISH Language.
Description
This is the most comprehensive, yet straight-forward, course for the programmers / newbies on Udemy!This course is specially designed by taking all scenarios into consideration from programmer point of viewHere I tried my best to give you good understanding on topic which programmer should be knowing at the earliest.Even covered topic such as csv , Json , xml from company point of view. If you are attending for an Interview - sure shot one question will be their from pattern printing. Just to check how much logically you are able to think. I covered such topics as well      Following are the list of topic will be covered as a part of this course. 01.   What you will learn in this course                                                                               02.   Work Setup                                                                                                    03.   Introduction to Python                                                                                       04.   Declaring variables                                                                                                   05.   Operators                                                                                                   06.   Decision making                                                                                             07.    Loops                                                                                                       08.   Strings                                                                                                     09.   Data structure  - List              10.    Data structure  - Tuple                                                                                                       11.     Data structure  - Set             12.    Data structure  - Dictionary      13.    Function                                                                                                    14.    Lets build logic 1            15.    Lets build logic 2            16.    Lets build logic 3            17.     Lets build logic 4            18.     Lets build logic 5            19.     Lets build logic 6            20.    Patterns                          21.     csv and Json                      22.     xml                               23.     pickle                     24.     Next Plan                         Hope this course will help you to build logics and crack the interviews :)

Overview

Section 1: Introduction

Lecture 1 What you will learn in this course

Section 2: Work Setup

Lecture 2 Code editor

Lecture 3 Code editor component overview

Section 3: Introduction to Python

Lecture 4 What is Python

Lecture 5 Features of Python

Lecture 6 Where can we use Python

Lecture 7 Limitations of Python

Lecture 8 Versions of Python

Section 4: Declaring variables

Lecture 9 Variables

Section 5: Operators

Lecture 10 Membership operators

Lecture 11 Arithmetic operators

Lecture 12 Comparison operators

Lecture 13 Logical operators

Lecture 14 Assignment operators

Lecture 15 Identity operators

Lecture 16 Bitwise operator - AND

Lecture 17 Bitwise operator - OR

Lecture 18 Bitwise operator - NOT

Lecture 19 Bitwise operator - XOR

Lecture 20 Bitwise operator - Right Shift

Lecture 21 Bitwise operator - Left Shift

Section 6: Decision making

Lecture 22 Topics of Decision making

Lecture 23 If else

Lecture 24 If elif

Lecture 25 Nested if

Section 7: Loops

Lecture 26 Types of Loops

Lecture 27 While Loop

Lecture 28 For Loop

Lecture 29 Difference between While Loop and For Loop

Section 8: Strings

Lecture 30 Topics of String

Lecture 31 What is String and Declaring String

Lecture 32 Access characters in String and String Operations

Lecture 33 Iterating through String

Lecture 34 String Membership

Lecture 35 Raw String

Lecture 36 String format

Lecture 37 Single / Double / Triple quote

Lecture 38 String methods 1

Lecture 39 String methods 2

Lecture 40 String methods 3

Lecture 41 String methods 4

Lecture 42 String methods 5

Section 9: Data structure - List

Lecture 43 What is List ?

Lecture 44 Creation of List

Lecture 45 Access List element

Lecture 46 Mathematical operations

Lecture 47 Equality operations

Lecture 48 Relational operations

Lecture 49 Membership operations

Lecture 50 List Methods part 1

Lecture 51 List Methods part 2

Lecture 52 List Methods part 3

Lecture 53 reverse and reversed

Lecture 54 sort and sorted

Lecture 55 append and extend

Lecture 56 Cloning

Lecture 57 Aliasing

Lecture 58 Nested list

Lecture 59 List comprehension

Lecture 60 Zip

Section 10: Data structure - Tuple

Lecture 61 Topics of Tuple

Lecture 62 What is Tuple

Lecture 63 Access elements of Tuple

Lecture 64 Mathematical operations on Tuple

Lecture 65 Equality operations on Tuple

Lecture 66 Relational operations on Tuple

Lecture 67 Membership operations on Tuple

Lecture 68 Reversing on Tuple

Lecture 69 Sorting on Tuple

Lecture 70 Packing and Unpacking on Tuple

Lecture 71 Tuple comprehension

Lecture 72 Where to use Tuple

Lecture 73 Methods of Tuple

Lecture 74 Tuple within Tuple

Lecture 75 Iterate through Tuple

Lecture 76 Tuple with Anonymous function

Lecture 77 Zip

Section 11: Data structure - Set

Lecture 78 Topics of Set

Lecture 79 What is Set

Lecture 80 How to create Set

Lecture 81 Modify Set

Lecture 82 Set Methods 1

Lecture 83 Set Methods 2

Lecture 84 Set Methods 3

Lecture 85 Set operations 1

Lecture 86 Set operations 2

Lecture 87 Set operations 3

Section 12: Data structure - Dictionary

Lecture 88 Topics of Dictionary

Lecture 89 What is Dictionary

Lecture 90 Creation of Dictionary

Lecture 91 Access elements of Dictionary

Lecture 92 Modify and Add elements to Dictionary

Lecture 93 Remove elements from Dictionary

Lecture 94 Dictionary Methods 1

Lecture 95 Dictionary Methods 2

Lecture 96 Dictionary Methods 3

Lecture 97 Dictionary comprehension

Lecture 98 Dictionary membership

Lecture 99 Iterating through Dictionary

Lecture 100 Built in functions in Dictionary

Section 13: Function

Lecture 101 Overview of Function

Lecture 102 What is Function

Lecture 103 Types of Function

Lecture 104 Syntax of Function

Lecture 105 Function without parameter

Lecture 106 Function with return

Lecture 107 Returns None

Lecture 108 Calculator with Function

Lecture 109 Types of Arguments

Lecture 110 Positional Argument

Lecture 111 Keyword Argument

Lecture 112 Default Argument

Lecture 113 Variable length Argument

Lecture 114 args and kwargs

Lecture 115 Local variable

Lecture 116 Global and Local variable

Lecture 117 Anonymous Function

Lecture 118 Methods of Anonymous Function

Lecture 119 Anonymous Function - filter

Lecture 120 Anonymous Function - map

Lecture 121 Anonymous Function - reduce

Lecture 122 Recursive Function

Lecture 123 Limitations of Recursive Function

Lecture 124 Reset the Limitations of Recursive Function

Lecture 125 Example 0

Lecture 126 Example 1

Lecture 127 Example 2

Lecture 128 Example 3

Lecture 129 Function within Function

Lecture 130 Practical assignment 0

Lecture 131 Practical assignment 1

Lecture 132 Calling function within Anonymous Function

Lecture 133 Summary

Section 14: Lets build logic 1

Lecture 134 Program 1

Lecture 135 Program 2

Lecture 136 Program 3

Lecture 137 Program 4

Lecture 138 Program 5

Lecture 139 Program 6

Lecture 140 Program 7

Lecture 141 Program 8

Lecture 142 Program 9

Lecture 143 Program 10

Lecture 144 Program 11

Section 15: Lets build logic 2

Lecture 145 Program 1

Lecture 146 Program 2

Lecture 147 Program 3

Lecture 148 Program 4

Lecture 149 Program 5

Lecture 150 Program 6

Lecture 151 Program 7

Lecture 152 Program 8

Lecture 153 Program 9

Lecture 154 Program 10

Lecture 155 Program 11

Lecture 156 Program 12

Section 16: Lets build logic 3

Lecture 157 Program 1

Lecture 158 Program 2

Lecture 159 Program 3

Lecture 160 Program 4

Lecture 161 Program 5

Lecture 162 Program 6

Lecture 163 Program 7

Lecture 164 Program 8

Lecture 165 Program 9

Lecture 166 Program 10

Section 17: Lets build logic 4

Lecture 167 Program 1

Lecture 168 Program 2

Lecture 169 Program 3

Lecture 170 Program 4

Lecture 171 Program 5

Lecture 172 Program 6

Lecture 173 Program 7

Lecture 174 Program 8

Lecture 175 Program 9

Lecture 176 Program 10

Section 18: Lets build logic 5

Lecture 177 Program 1

Lecture 178 Program 2

Lecture 179 Program 3

Lecture 180 Program 4

Lecture 181 Program 5

Lecture 182 Program 6

Lecture 183 Program 7

Lecture 184 Program 8

Lecture 185 Program 9

Lecture 186 Program 10

Section 19: Lets build logic 6

Lecture 187 Program 1

Lecture 188 Program 2

Lecture 189 Program 3

Lecture 190 Program 4

Lecture 191 Program 5

Lecture 192 Program 6

Lecture 193 Program 7

Lecture 194 Program 8

Lecture 195 Program 9

Lecture 196 Program 10

Lecture 197 Program 11

Lecture 198 Program 12

Section 20: Star pattern printing

Lecture 199 Star pattern printing 1

Lecture 200 Star pattern printing 2

Lecture 201 Star pattern printing 3

Lecture 202 Star pattern printing 4

Lecture 203 Star pattern printing 5

Lecture 204 Star pattern printing 6

Lecture 205 Star pattern printing 7

Lecture 206 Star pattern printing 8

Lecture 207 Star pattern printing 9

Lecture 208 Star pattern printing 10

Lecture 209 Star pattern printing 11

Lecture 210 Star pattern printing 12

Lecture 211 Star pattern printing 13

Lecture 212 Assignment

Section 21: Letter pattern printing

Lecture 213 Letter pattern printing 1

Lecture 214 Letter pattern printing 2

Lecture 215 Letter pattern printing 3

Lecture 216 Letter pattern printing 4

Lecture 217 Letter pattern printing 5

Lecture 218 Letter pattern printing 6

Lecture 219 Letter pattern printing 7

Lecture 220 Letter pattern printing 8

Lecture 221 Letter pattern printing 9

Lecture 222 Letter pattern printing 10

Lecture 223 Letter pattern printing 11

Lecture 224 Assignment

Section 22: Number pattern printing

Lecture 225 Number pattern printing 1

Lecture 226 Number pattern printing 2

Lecture 227 Number pattern printing 3

Lecture 228 Number pattern printing 4

Lecture 229 Number pattern printing 5

Lecture 230 Number pattern printing 6

Lecture 231 Number pattern printing 7

Lecture 232 Number pattern printing 8

Lecture 233 Number pattern printing 9

Lecture 234 Number pattern printing 10

Lecture 235 Number pattern printing 11

Lecture 236 Number pattern printing 12

Lecture 237 Number pattern printing 13

Lecture 238 Number pattern printing 14

Lecture 239 Number pattern printing 15

Lecture 240 Number pattern printing 16

Lecture 241 Assignment

Section 23: Other pattern printing

Lecture 242 Other pattern printing 1

Lecture 243 Other pattern printing 2

Lecture 244 Assignment

Section 24: csv & Json

Lecture 245 what is csv

Lecture 246 How to install csv module

Lecture 247 How to get sample csv file

Lecture 248 Mount folder

Lecture 249 Methods of csv

Lecture 250 Read data from csv

Lecture 251 Read data and print in form of string

Lecture 252 Read headers from csv file

Lecture 253 Skip headers and read data

Lecture 254 Count of records in file including headers

Lecture 255 Count of records in file excluding headers

Lecture 256 Read first 10 lines of csv file

Lecture 257 Read records from csv file in range

Lecture 258 Read data of based on index

Lecture 259 Read multiple columns of csv file

Lecture 260 Read last column of csv file

Lecture 261 Concatenate multiple column data of csv file

Lecture 262 Read even records from csv file

Lecture 263 Read last record of csv file - method 1

Lecture 264 Read last record of csv file - method 2

Lecture 265 Read last record of csv file - method 3

Lecture 266 Usage of delimiter / comma

Lecture 267 Enumerate with csv file

Lecture 268 Count of records in file using Enumerate

Lecture 269 Caluclate sum & average of column salary from csv file

Lecture 270 Read csv data in form Dictionary using Zip

Lecture 271 Read csv data in form Dictionary using DictReader

Lecture 272 Write data to csv file using writerow

Lecture 273 Write data to csv file using writerows

Lecture 274 Read data from one file and write to another file - writerows

Lecture 275 Read data from one file and write to another file - writerow

Lecture 276 Read even records and write to another file using slice

Lecture 277 Read even records and write to another file using enumerate

Lecture 278 Write headers to file using DictWriter

Lecture 279 Write Dictionary data to csv file

Lecture 280 List containing Dictionary data write to csv file

Lecture 281 Difference between Dictionary / Json

Lecture 282 Using josn to read headers / data

Lecture 283 Create csv file using Json data

Lecture 284 Create csv file using Json data - multiple keys

Lecture 285 Read json data from file and write to csv file 0

Lecture 286 Read json data from file and write to csv file 1

Lecture 287 csv-json Assignment

Section 25: xml

Lecture 288 Introduction to xml

Lecture 289 How xml data looks

Lecture 290 Module used for xml

Lecture 291 How to import xml module

Lecture 292 Parse xml data from a varaible and read root element

Lecture 293 Parse xml data from a varaible and read child root element

Lecture 294 Parse xml data from a varaible and read child root attributes

Lecture 295 Parse xml data from a variable and read specific child root element attributes

Lecture 296 Count number of child root element

Lecture 297 Count number of child root attributes

Lecture 298 Fetch all attribute list Method 1

Lecture 299 Fetch all attribute list Method 2

Lecture 300 Print tag and data between tags

Lecture 301 Read xml data in varaibale and store into list

Lecture 302 Read xml data in varaibale and store into list consider null / missing issue

Lecture 303 How to generate csv file from xml data

Lecture 304 Read xml file and display root element

Lecture 305 Read xml file and display child root element

Lecture 306 Read xml file and display child root element attribute names

Lecture 307 Read xml file and display child root element attribute values

Lecture 308 Read distinct header names from xml file

Lecture 309 Read xml data to list and write to csv file

Lecture 310 Convert list data to xml file

Lecture 311 Convert csv data to xml file using pandas

Lecture 312 Read csv file which is in pipe format and convert to xml file

Lecture 313 Usage of find method with xml data

Lecture 314 Usage of iter method with xml data

Lecture 315 Fetch specific data of xml and write to csv file

Lecture 316 Fetch specific data of xml and write to csv file [ where xml data as comma betwe

Lecture 317 How to add custom attribute to existing xml data at First index

Lecture 318 How to add custom attribute across entire xml data

Lecture 319 How to add custom attribute with random value across entire xml data

Lecture 320 Remove specific attribute across entire xml data

Lecture 321 Remove first level indexing attribute from xml data

Lecture 322 Remove specific attribute from entire xml data

Lecture 323 Remove multiple attribute from entire xml data

Lecture 324 Attribute missing error

Lecture 325 Modify atrribute value of specific level

Lecture 326 Modify atrribute value of entire xml data

Lecture 327 Append text to already existing data

Lecture 328 xml Assignment

Section 26: Pickle

Lecture 329 Topics of Pickle

Lecture 330 What is Pickle

Lecture 331 How to install Pickle

Lecture 332 dumps and loads of Pickle

Lecture 333 dump and load of Pickle

Lecture 334 Drawback of Pickle 0

Lecture 335 Drawback of Pickle 1

Lecture 336 Pickle Assignment

Section 27: Next plan

Lecture 337 End

Anyone looking to Learn Python Language,Anyone looking to Learn to build logics,Anyone looking to crack Python Interviews,Anyone looking to get Python Certification,Anyone looking to understand the usage of python in companies,Anyone to get perfection on day to day coding requirements on Python Concepts