Basic to Advanced Python Programming

In this Introduction, you will learn what will be taught in this course and benifits of this course.

• What is Programming?
• What is Coding?
• Python Library
• Python Modules
• Python Webframework
• Flavours of Python
• What can Python do? 
• Why Python? 
• Python Syntax compared to other programming languages
• Python Installation

• The print statement
• Comments
• Python Data Structures & Data Types
• String Operations in Python
• Python keywords
• Python Variables
• Python Type Conversions
• Simple Input & Output

• Arithmetic operators
• Assignment operators
• Comparison operators &Logical operators
• Identity operators
• Membership operators & Output
• Simple Output Formatting 

• Indentation 
• The If statement and its’ related statement 
• An example with if and it’s related statement
• Else
• Nested If
• Short Hand If
• Short Hand If else & Continue
• Examples for Conditional Statements

• Indentation 
• The for statement and its’ related statement 
• An example with for and it’s related statement
• While
• Nested for
• Nested While
• Examples for Looping Statements

• Indentation 
• The Break statement and its’ related statement 
• An example with Break and it’s related statement
• Continue
• Pass
• Examples for Jumping Statements

• String Introduction
• String object basics
• String methods
• Splitting and Joining strings
• String format functions

• List basics
• List methods
• Nested List
• List comprehensions

• Introduction to Tuples
• Tuples with built-in functions
• Tuple operations

• Introduction to Sets
• Sets with built-in functions
• Set Operations
• Set with functions

• Introduction to FrozenSet

• Introduction to Dictionary
• Dictionary with built-in functions
• Dictionary with functions

• Defining a function
• Calling a function
• return statement
• Difference between return and print
• Arguments
• Parameters
• Keyword arguments
• Arbitrary argument
• User defined functions
• Nested functions
• Functions with real time examples

• Lambda function
• Map function
• return statement vs Yield
• Difference between return and print
• filter Function
• Generator
• Reduce Function
• Yield Keyword
• Advanced Functions with real time examples

• Introduction to Classes
  • Creation of Classes
  • Real time examples of Classes
• Creation of Objects
• init
• self keyword
• super keyword
• Inheritance
• Types of Inheritance:
  • Single Inheritance.
  • Multiple Inheritance.
  • Multi-Level Inheritance.
  • Hierarchical Inheritance.
• Polymorphism:
  • Method overloading
  • Method overriding
• Encapsulation
  • Private
  • Public
  • Protected
• Data Abstraction
  • Abc class
  • Abstract method
  • Realtime example of Data Abstraction

• Introduction to File Handling
• File modes
• with keyword
• Working with files
• Reading and writing files
• Buffered read and write
• Other File methods
• Tell Function
• Read Line Function
• Read Lines Function
• WriteLines Function
• Other File methods
• Seek Function

• Using standard module
• Creating new modules
• Exceptions Handling with Try-except
• Updating and deleting the data

• Introduction to Numpy
• Numpy Installation
• NumPy – Ndarray Object
• NumPy – Data Types
• NumPy – Array Attributes
• NumPy – Array Creation Routines
• NumPy – Array from Existing Data
• Array From Numerical Ranges
• NumPy – Indexing & Slicing
• NumPy – Advanced Indexing
• NumPy – Broadcasting
• NumPy – Iterating Over Array
• NumPy – Array Manipulation
• NumPy – Binary Operators
• NumPy – String Functions
• NumPy – Mathematical Functions
• NumPy – Arithmetic Operations
• NumPy – Statistical Functions
• Sort, Search & Counting Functions
• NumPy – Copies & Views
• NumPy – Matrix Library

• Introduction to Pandas
• Pandas Installation
• Python Pandas – Series
• Python Pandas – DataFrame
• Python Pandas – Basic Functionality
• Descriptive Statistics
• Function Application
• Python Pandas – Reindexing
• Python Pandas – Iteration
• Python Pandas – Sorting
• Working with Text Data
• Options & Customization
• Indexing & Selecting Data
• Statistical Functions
• Python Pandas – Time Delta
• Python Pandas – Categorical Data
• Python Pandas – IO Tools

• Matplotlib
• Matplotlib Introduction
• Bar Plot
• Pie Chart
• BoxPlot
• HeatMap
• Histogram
• Small Project using Matplotlib

• What is Multi Threading
• Multi Threading vs Multi Processing
• Thread class
• Thread Life Cycle
• Methods of Multi Threading in Python
• Examples of MultiThreading

• What is Web Scraping?
• What is Beautifull Soap?
• Request Module
• Http Status Codes
• HTML Parser
• GetText
• Find All()
• Saving Scraped Data
• Converting Raw Data to Structured Data

• Scraping data from E-commerce websites.

• Ebook Audio Reader
• TodoList
• Railway Ticket Management System
• Bank Management System
• Super Market Bill Generation

• Github Introduction
• Account creation
• Github Repository
• Pushing Projects
• Pulling Projects
• ReadME File
• Git Introduction
• Git Installation
• Git Clone
• Git Status
• Git Add
• Git Commit
• Git Push
• Git Pull
• Git vs Github

The education offered by Python Life is industrial education. We are known for our course programs. And whatever we teach, it starts from scratch to advanced level. An experienced instructor is available to him 24/7 to clear any doubts.

Yes, all concepts are taught from basic to advanced level and the instructor will check if students understand before moving on to more subjects.

Of course, Python Life trains students according to industry requirements and specifications. We also conduct in-house planning and mock interviews.

There are no eligibility criteria for this course, which is taught from start to finish, so anyone interested in the course can participate.

Yes, you will receive a course completion certificate from Python Life when you submit your project at the end of the course.

Sorry, No refunds.

You can join by paying from our site. Immediately after payment, you will receive a confirmation from us to guide you through the further process.

Yes, all sessions will be recorded and will be provided for the students.