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 code
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
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