Enrolled: 0 students
Duration: 72 hours
Lectures: 116
Level: Beginner

Working hours

Monday 10:00 am - 7:00 pm
Tuesday 10:00 am - 7:00 pm
Wednesday 10:00 am - 7:00 pm
Thursday 10:00 am - 7:00 pm
Friday 10:00 am - 7:00 pm
Saturday 10:00 am - 7:00 pm
Sunday 10:00 am - 7:00 pm

Python needs no introduction as it is a very popular programming language today and widely used in programming, web development, datascience and analytics It has surpassed Java as the top programming language. For new learners Python can be an excellent choice to begin the journey of coding as one of the biggest hurdles for aspiring coders is the difficult task of learning a new language that looks nothing like what they’re used to reading and writing. However, Python uses English syntax and was designed to be easy to read — which makes it more accessible to first-time coders than many other languages.

Why should you learn Python?

  • The demand for Python Programming is increasing dramatically every year as it provides a great number of job opportunities and also promises high growth in salary.
  • Python is highly versatile and can be used for both small and complex tasks. It is used across many different industries — from its more common applications in data science and software engineering to environments like mobile app development, artificial intelligence, machine learning, etc.
  • Due to its simple syntax Python is preferred for Machine Learning and also as it supports several machine learning libraries.
  • Python also provides a large collection of frameworks that helps developers with web application development.
  • Another important aspect of Python’s versatility i.e its ability to run with other programming languages. It also offers cross-platform functionality, meaning that it will function properly whether you’re working with Windows, Linux, or macOS.
  • Python supports several built-in testing frameworks that help in debugging and speeding up workflows
  • Python has a massive community that can help you with programming errors or issues with the software.
  • For those who want to pursue jobs in the fields of data analytics and data science, learning Python is an excellent and timely choice.

 

Introduction

1
Getting Started
2
Keywords and Identifier
3
Statements & Comments
4
Python Variables
5
Python Datatypes
6
Python Type Conversion
7
Python I/O and Import
8
Python Operators
9
Python Namespace

Python Flow Control

1
Python if…else
2
Python for Loop
3
Python while Loop
4
Python break and continue
5
Python Pass

Python Functions

1
Python Function
2
Function Argument
3
Python Recursion
4
Anonymous Function
5
Global, Local and Nonlocal
6
Python Global Keyword
7
Python Modules
8
Python Package

Python Datatypes

1
Python Numbers
2
PYTHON
3
Python Flow Control
4
Python Functions
5
Python Datatypes
6
Python List
7
Python Tuple
8
Python String
9
Python Set
10
Python Dictionary

Python Files

1
Python File Operation
2
Python Directory
3
Python Exception
4
Exception Handling
5
User-defined Exception

Python Object & Class

1
Python OOP
2
Python Class
3
Python Inheritance
4
Multiple Inheritance
5
Operator Overloading

Python Libraries

1
Pandas
2
NumPy
3
Pandas DataFrame
4
Python JSON
5
Multiprocessing

Data Structure and Algorithms

1
DS Introduction
2
DS Environment
3
Arrays
4
Lists
5
Tuples
6
Dictionary
7
2-D Array
8
Matrix
9
Sets
10
Maps
11
Linked Lists
12
Stack
13
Queue
14
Dequeue
15
Advanced Linked list
16
Hash Table
17
Binary Tree
18
Search Tree
19
Heaps
20
Graphs
21
Algorithm Design
22
Divide and Conquer
23
Recursion
24
Backtracking
25
Sorting Algorithms
26
Searching Algorithms
27
Graph Algorithms
28
Algorithm Analysis
29
Big-O Notation
30
Algorithm Classes
31
Amortized Analysis
32
Algorithm Justifications

Basic Concepts

1
Referencing Another User’s Tables
2
Tables
3
Introduction of Oracle Database
4
Data Types
5
Create Database
6
Drop Database
7
Select Database
8
Create Table
9
Drop Table
10
Insert Query
11
Select Query
12
Update Query
13
Delete Query
14
Order By
15
Group By
16
Distinct Keyword

Filtering

Functions

Subqueries

1
The WHERE Statement
2
Filtering with AND, OR
3
IN, NOT IN Statements
4
Custom Columns
5
Subqueries
6
LIKE and MIN

Table Operations

1
Constraints
2
Using Joins
3
Unions Clause
4
NULL Values
5
Alias Syntax
6
Indexes
7
Alter Command
8
Truncate Table
9
Using Views
10
Having Clause

Transactions

1
Wildcards
2
Date Functions
3
Temporary Tables
4
Clone Tables
5
Sub Queries

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