DATASCIENCE

Python Introduction 3

You will learn python introduction,installation and using IDEs

• Lecture1.1
  Data science Promo video
• Lecture1.2
  Python Introduction and Versions
• Lecture1.3
  What is Anaconda and Installation of Anaconda with python
• Lecture1.4
  Notepad++ Installation
• Lecture1.5
  Material (DS01_01_introduction_and_installation.ipynb)
• Lecture1.6
  Write Hello World using Notepad
• Lecture1.7
  Write Hello world using VS Code IDE
• Lecture1.8
  Write C C++ and Java hello world in VS Code
• Lecture1.9
  Write Hello world using Jupyter Lab IDE
• Lecture1.10
  Material (DS01_02_Hello_World_in_data_science.ipynb)
• Quiz1.1
  Test Your Understanding 3 questions

Markdown Language 5

• Lecture2.1
  Material (DS01_03_MarkDown_and_LaTex_Languages.ipynb)
• Lecture2.2
  Headings Using Markdown
• Lecture2.3
  Emphasis(Bold/Italic/Strike)
• Lecture2.4
  List of items
• Lecture2.5
  HyperLinks and Images

Data Types 8

• Lecture3.1
  Material (DS02_Using_Python_as_calculator.ipynb)
• Lecture3.2
  Simple Calculations
• Lecture3.3
  Material (DS03_BasicDatatypes_objects.ipynb)
• Lecture3.4
  Basic Data Types
• Lecture3.5
  Material (DS04_Convert_one_Datatype_TO_OTherDatatype.ipynb)
• Lecture3.6
  Type Casting
• Lecture3.7
  Material (DS05_reading_items_from_objects.ipynb)
• Lecture3.8
  Reading Items from String

List (Data Structures) 4

• Lecture4.1
  Material (DS07_01_List.ipynb)
• Lecture4.2
  Define List with Same/different Datatypes,Nested List and Reading The list
• Lecture4.3
  Manipulating The List items(Insert/Update/del)
• Lecture4.4
  Memory Allocation

Tuples (Data Structures) 4

• Lecture5.1
  Material (DS07_02_Tuple.ipynb)
• Lecture5.2
  Define, read and manipulate Tuple
• Lecture5.3
  Unpack Tuple_list_string_and convert List to Tuple_and _vice Versa
• Lecture5.4
  Mutable_Vs_Immutable

Dict (Data Structures) 5

• Lecture6.1
  Material (DS07_03_Dictionary.ipynb)
• Lecture6.2
  Create a simple Dictionary
• Lecture6.3
  Read dict values using keys
• Lecture6.4
  Nested dict and create dataframe using dict
• Lecture6.5
  Dict use cases

Set (Data Structures) 5

• Lecture7.1
  Material (DS07_04_Set.ipynb)
• Lecture7.2
  Define Set
• Lecture7.3
  Set Size Membership and no Index
• Lecture7.4
  Change Items
• Lecture7.5
  Union Intersection and Difference

Operators 10

• Lecture8.1
  Material (DS08_01_Comparision_Operators.ipynb)
• Lecture8.2
  Comparison Operators
• Lecture8.3
  Comparison Operators Use Case
• Lecture8.4
  Material (DS08_02_Bool_operators_and_or_not.ipynb)
• Lecture8.5
  Logical or Boolean Operators
• Lecture8.6
  Material (DS09_Bool_numpy_operators_logical_and_or_or_or_not.ipynb)
• Lecture8.7
  Numpy Boolean Operators
• Lecture8.8
  Material (DS10_Filtering_DataFrame_Data.ipynb)
• Lecture8.9
  Filter DataFrame data part 1
• Lecture8.10
  Filter DataFrame data part 2

Control Flows 12

• Lecture9.1
  Material (DS11_if_elif_else.ipynb)
• Lecture9.2
  About Input Function
• Lecture9.3
  If elif elif … else
• Lecture9.4
  Material (DS12_while_statement.ipynb)
• Lecture9.5
  Upto given number print even numbers using while loop
• Lecture9.6
  Creating the Fibonacci series using while loop
• Lecture9.7
  Break Statement
• Lecture9.8
  Continue Statement
• Lecture9.9
  Material (DS13_for_loop.ipynb)
• Lecture9.10
  For Loop on Sequence Objects
• Lecture9.11
  enumerate Function
• Lecture9.12
  Sending mail to multiple users from your Gmail account