About the Instructor:
Banu, an IT Trainer, expertly wields her extensive technical prowess across software and web development, software testing, and databases, cultivated through 7 years of immersive practice. Her illustrious international career of 6 years has imbued her teaching methodology with a rich tapestry of diverse approaches, seamlessly blending global best practices and innovative techniques. As a result, Banu delivers instruction in the IT domain that is not only comprehensive but also deeply impactful, guiding her students towards mastery with finesse and precision
Sample Videos:
“Python Mastery : From Basics to Advance” -Demo video:
VIDEO
“Python Mastery : From Basics to Advance” -Day 1 video:
VIDEO
Live Sessions Price:
For LIVE sessions – Offer price after discount is 159 USD 109 USD 99 USD Or 13000 INR9900 INR 6900 Rupees
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Who can enroll in this course?
Beginners: Individuals with little to no programming experience who want to learn Python from scratch.Students: High school or college students looking to enhance their programming skills or pursue a career in software development.Professionals: Working professionals seeking to upskill or transition into roles requiring Python proficiency, such as data analysis, web development, or automation.Career Changers: Individuals looking to switch careers or explore opportunities in the rapidly growing field of Python programming.Anyone Interested in Programming: Enthusiasts interested in learning a versatile and widely-used programming language for personal or professional growth.
What will I Learn by the end of this course?
Python Fundamentals: They’ll understand Python’s basics like syntax, variables, and data types.Data Handling: Students will master working with lists, tuples, dictionaries, and sets for efficient data management.File Operations: They’ll be proficient in reading and writing files, managing text and binary data.Functions and Modularization: Students will grasp how to create and use functions for better code organization and reusability.Object-Oriented Programming: They’ll learn to design and implement classes, objects, and inheritance for building robust applications.Error Handling and Advanced Techniques: Students will gain skills in managing errors, using regular expressions, and interfacing with databases for real-world application development.
Free day 3 Session:
16th July @ 9 PM – 10 PM (IST) (Indian Timings)
16th July @ 11:30 AM – 12:30 PM (EST) (U.S Timings)
16th July @ 4:30 PM – 5:30 PM (BST) (UK Timings)
Class Schedule:
For Participants in India : Monday to Friday 9 PM – 10 PM (IST)
For Participants in US : Monday to Friday 11:30 AM – 12:30 PM (EST)
For Participants in UK : Monday to Friday 4:30 PM – 5:30 PM (BST)
What student’s have to say about Banu:
The course is well-organized, making it easy to follow and understand each topic.. – Meenakashi
It covers a wide range of essential Python concepts, ensuring a thorough understanding of the language. –Shyam
The teaching style keeps students engaged and motivated throughout the course. – Graham
Practical projects make learning data analysis enjoyable, a must for anyone interested in entering the field of data science. – Ananya
The trainer demonstrates deep knowledge and expertise in Python programming, enriching the learning experience.- Monith
The trainer explains concepts clearly and concisely, making complex topics easier to grasp. – Nagesh
The trainer keeps students engaged throughout the course, fostering active participation and learning. – Sridhar
Salient Features:
30 – 35 Hours of Live Training along with recorded videos
Lifetime access to the recorded videos
Course Completion Certificate
Chapter 1: Introduction to Python
What is Python and history of Python?
Unique features of Python
Python-2 and Python-3 differences
Install Python and Environment Setup
First Python Program
Python Identifiers, Keywords and Indentation
Comments and document interlude in Python
Command line arguments
Getting User Input
Python Data Types
What are variables?
Python Core objects and Functions
Number and Maths
Chapter 2: List, Ranges & Tuples in Python
Introduction
Lists in Python
More About Lists
Understanding Iterators
Generators , Comprehensions and Lambda Expressions
Introduction
Generators and Yield
Next and Ranges
Understanding and using Ranges
More About Ranges
Ordered Sets with tuples
Chapter 3: Python Dictionaries and Sets
Introduction to the section
Python Dictionaries
More on Dictionaries
Sets
Python Sets Examples
Chapter 4: Input and Output in Python
Reading and writing text files
writing Text Files
Appending to Files and Challenge
Writing Binary Files Manually
Using Pickle to Write Binary Files
Chapter 5: Python built in function
Python user defined functions
Python packages functions
Defining and calling Function
The anonymous Functions
Loops and statement in Python
Python Modules & Packages
Chapter 6: Python Object Oriented
Overview of OOP
Creating Classes and Objects
Accessing attributes
Built-In Class Attributes
Destroying Objects
Chapter 7: Python Exceptions Handling
What is Exception?
Handling an exception
try….except…else
try-finally clause
Argument of an Exception
Python Standard Exceptions
Raising an exceptions
User-Defined Exceptions
Chapter 8: Json
What is Json?
Json datatypes
Convert Json to python
Convert python to Json
Chapter 9: Python Regular Expressions
What are regular expressions?
The match Function
The search Function
Matching vs searching
Search and Replace
Extended Regular Expressions
Wildcard
Chapter 10: Using Databases in Python
Python MySQL Database Access
Install the MySQLdb and other Packages
Create Database Connection
CREATE, INSERT, READ, UPDATE and DELETE Operation
DML and DDL Oepration with Databases
Performing Transactions
Handling Database Errors
Chapter 11: Introduction to Libraries
Numpy – Installation and sample working with it
Scify – Installation and sample working with it
Pandas – Installation and sample working with it
Chapter 12: Python Django Framework
Introduction to Framework
Introduction to Django
Django Architecture
Django Design pattern
