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Python Coaching in Janakpuri New Delhi - Learnees

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Python Coaching in Janakpuri New Delhi

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Python is a beginner-friendly programming course designed to develop coding and problem-solving skills. Students learn Python fundamentals, variables, data types, loops, functions, and object-oriented programming. The course includes practical coding exercises and projects to build a strong foundation for software development, automation, data analysis, and emerging technologies.

Educator

Live

Classroom (Offline)

STARTS ON

15th Jun

DURATION

1 year

LANGUAGE

English / Hindi

BEST VALUE

Yearly Price

₹20,000₹20,000

Pay₹1,667/month

BEST VALUE

Yearly Price

₹20,000

Pay₹1,667/month

311+ Students Enrolled via Learnees

⚡24/7 Support by Learnees

1. Introduction to Python

Topics:

What is Python
features of Python
applications of Python
advantages and limitations
Python installation
IDEs and code editors
Python interpreter
writing the first Python program
execution of Python scripts

Hands-on:

Skills You Will Learn:

2. Python Fundamentals

Topics:

Python syntax
indentation
comments
keywords
identifiers
variables
constants
input and output functions
type conversion
basic programming rules

Hands-on:

Skills You Will Learn:

3. Data Types and Operators

Topics:

Numeric data types
strings
Boolean values
lists
tuples
sets
dictionaries
type checking
arithmetic operators
comparison operators
logical operators
assignment operators
bitwise operators
membership operators
identity operators
operator precedence

Hands-on:

Skills You Will Learn:

4. Conditional Statements

Topics:

If statement
if-else statement
if-elif-else statement
nested if statements
conditional expressions
decision-making programs
practical conditional exercises

Hands-on:

Skills You Will Learn:

5. Loops and Iterations

Topics:

For loop
while loop
nested loops
range function
break statement
continue statement
pass statement
loop control
pattern printing
iteration-based programming problems

Hands-on:

Skills You Will Learn:

6. Strings and String Manipulation

Topics:

String creation
indexing
slicing
string concatenation
string repetition
string formatting
escape sequences
common string methods
searching and replacing strings
string validation
palindrome programs

Hands-on:

Skills You Will Learn:

7. Python Collections

Topics:

Lists and list methods
tuples and tuple operations
sets and set operations
dictionaries and dictionary methods
indexing and slicing
nested collections
list comprehension
dictionary comprehension
sorting and filtering collections

Hands-on:

Skills You Will Learn:

8. Functions in Python

Topics:

Defining functions
calling functions
parameters and arguments
return statement
default arguments
keyword arguments
positional arguments
variable-length arguments
lambda functions
recursive functions
scope of variables
built-in functions
user-defined functions

Hands-on:

Skills You Will Learn:

9. Modules and Packages

Topics:

Import statements
built-in modules
creating custom modules
Python packages
module aliases
standard library
pip package manager
installing external libraries
virtual environments
dependency management

Hands-on:

Skills You Will Learn:

10. File Handling

Topics:

File opening and closing
reading files
writing files
appending data
file modes
text files
binary files
context managers
working with CSV files
working with JSON files
file and directory operations

Hands-on:

Skills You Will Learn:

11. Exception Handling

Topics:

Types of errors
syntax errors
runtime errors
try-except blocks
multiple exception handling
else clause
finally clause
raising exceptions
custom exceptions
debugging techniques
error prevention

Hands-on:

Skills You Will Learn:

12. Object-Oriented Programming (OOP)

Topics:

Classes and objects
constructors
instance variables
class variables
instance methods
class methods
static methods
encapsulation
inheritance
polymorphism
abstraction
method overriding
operator overloading
properties
special methods

Hands-on:

Skills You Will Learn:

13. Advanced Python Concepts

Topics:

Iterators
iterables
generators
yield keyword
decorators
closures
comprehensions
map function
filter function
reduce function
unpacking
args and kwargs
shallow copy
deep copy
memory management

Hands-on:

Skills You Will Learn:

14. Regular Expressions and Date-Time

Topics:

Regular expressions
pattern matching
search and substitution
validation using regex
date and time modules
datetime objects
formatting dates
date calculations
time operations
calendar module

Hands-on:

Skills You Will Learn:

15. Database Connectivity

Topics:

Database concepts
SQL fundamentals
relational databases
SQLite integration
database connection
creating tables
inserting records
retrieving data
updating records
deleting records
parameterized queries
transaction handling
database project

Hands-on:

Skills You Will Learn:

16. Data Structures and Algorithms

Topics:

Arrays and lists
stacks
queues
linked lists basics
searching algorithms
linear search
binary search
sorting algorithms
bubble sort
selection sort
insertion sort
recursion problems
time complexity basics
space complexity basics

Hands-on:

Skills You Will Learn:

17. GUI Development and Web Basics

Topics:

Introduction to GUI programming
Tkinter fundamentals
widgets and controls
event handling
layouts
form creation
input validation
introduction to HTTP requests
APIs and JSON responses
web data retrieval basics

Hands-on:

Skills You Will Learn:

18. Python Libraries and Data Analysis

Topics:

Introduction to NumPy
arrays and array operations
introduction to Pandas
Series and DataFrames
data cleaning
missing-value handling
data filtering
data sorting
data aggregation
CSV and Excel data processing
Matplotlib basics
charts and data visualization

Hands-on:

Skills You Will Learn:

19. Python for Automation

Topics:

Automation fundamentals
file and folder automation
batch file processing
working with Excel files
email automation basics
web scraping concepts
HTTP requests
task automation scripts
report generation
automation projects

Hands-on:

Skills You Will Learn:

20. Introduction to Artificial Intelligence and Machine Learning

Topics:

AI fundamentals
machine learning concepts
supervised learning
unsupervised learning
training and testing datasets
data preprocessing
feature selection basics
regression
classification
clustering
introduction to Scikit-learn
model evaluation basics
introductory AI projects

Hands-on:

Skills You Will Learn:

21. Practical Programming and Problem Solving

Topics:

Number-based programs
mathematical calculations
string-based problems
list and dictionary exercises
file-processing programs
logical reasoning problems
coding challenges
debugging exercises
real-world problem-solving tasks

Hands-on:

Skills You Will Learn:

22. Testing and Code Quality

Topics:

Unit testing
assertions
introduction to PyTest
test cases
debugging
logging
code readability
PEP 8 guidelines
documentation
code refactoring
basic software development practices

Hands-on:

Skills You Will Learn:

23. Mock Tests and Assessments

Topics:

Module-wise mock tests
Python fundamentals MCQs
output prediction questions
syntax-based tests
coding assessments
debugging tests
data structures quizzes
OOP practice tests
timed programming challenges
practical assignments
performance analysis
revision tests

Hands-on:

Skills You Will Learn:

24. Final Projects and Certification Preparation

Topics:

Student management system
library management system
calculator application
expense tracker
file automation tool
data analysis project
database-driven application
introductory machine learning project
project documentation
code presentation
final practical assessment
course revision and certification preparation

Hands-on:

Skills You Will Learn:

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What you'll learn in Python Coaching in Janakpuri New Delhi

Course Specifications6

Programming Language

Advanced Concepts

Practical Training

Project Work

Skill Developmen

Target Audience

Course Key Components4

Regular Mock Tests

Topic-Wise Programming Tests

Multiple-Choice Questions (MCQs)

Python Syntax and Output-Based Tests

Curriculum / Syllabus Overview By Experts

Master the skills employers are looking for with our comprehensive, hands-on curriculum

Introduction to Python

9 Topics

Python Fundamentals

10 Topics

Data Types and Operators

16 Topics

Conditional Statements

7 Topics

Loops and Iterations

10 Topics

Free Career Counselling

We're happy to help you 24/7

1. Introduction to Python

Topics:

What is Python
features of Python
applications of Python
advantages and limitations
Python installation
IDEs and code editors
Python interpreter
writing the first Python program
execution of Python scripts

2. Python Fundamentals

Topics:

Python syntax
indentation
comments
keywords
identifiers
variables
constants
input and output functions
type conversion
basic programming rules

3. Data Types and Operators

Topics:

Numeric data types
strings
Boolean values
lists
tuples
sets
dictionaries
type checking
arithmetic operators
comparison operators
logical operators
assignment operators
bitwise operators
membership operators
identity operators
operator precedence

4. Conditional Statements

Topics:

If statement
if-else statement
if-elif-else statement
nested if statements
conditional expressions
decision-making programs
practical conditional exercises

5. Loops and Iterations

Topics:

For loop
while loop
nested loops
range function
break statement
continue statement
pass statement
loop control
pattern printing
iteration-based programming problems

6. Strings and String Manipulation

Topics:

String creation
indexing
slicing
string concatenation
string repetition
string formatting
escape sequences
common string methods
searching and replacing strings
string validation
palindrome programs

7. Python Collections

Topics:

Lists and list methods
tuples and tuple operations
sets and set operations
dictionaries and dictionary methods
indexing and slicing
nested collections
list comprehension
dictionary comprehension
sorting and filtering collections

8. Functions in Python

Topics:

Defining functions
calling functions
parameters and arguments
return statement
default arguments
keyword arguments
positional arguments
variable-length arguments
lambda functions
recursive functions
scope of variables
built-in functions
user-defined functions

9. Modules and Packages

Topics:

Import statements
built-in modules
creating custom modules
Python packages
module aliases
standard library
pip package manager
installing external libraries
virtual environments
dependency management

10. File Handling

Topics:

File opening and closing
reading files
writing files
appending data
file modes
text files
binary files
context managers
working with CSV files
working with JSON files
file and directory operations

11. Exception Handling

Topics:

Types of errors
syntax errors
runtime errors
try-except blocks
multiple exception handling
else clause
finally clause
raising exceptions
custom exceptions
debugging techniques
error prevention

12. Object-Oriented Programming (OOP)

Topics:

Classes and objects
constructors
instance variables
class variables
instance methods
class methods
static methods
encapsulation
inheritance
polymorphism
abstraction
method overriding
operator overloading
properties
special methods

13. Advanced Python Concepts

Topics:

Iterators
iterables
generators
yield keyword
decorators
closures
comprehensions
map function
filter function
reduce function
unpacking
args and kwargs
shallow copy
deep copy
memory management

14. Regular Expressions and Date-Time

Topics:

Regular expressions
pattern matching
search and substitution
validation using regex
date and time modules
datetime objects
formatting dates
date calculations
time operations
calendar module

15. Database Connectivity

Topics:

Database concepts
SQL fundamentals
relational databases
SQLite integration
database connection
creating tables
inserting records
retrieving data
updating records
deleting records
parameterized queries
transaction handling
database project

16. Data Structures and Algorithms

Topics:

Arrays and lists
stacks
queues
linked lists basics
searching algorithms
linear search
binary search
sorting algorithms
bubble sort
selection sort
insertion sort
recursion problems
time complexity basics
space complexity basics

17. GUI Development and Web Basics

Topics:

Introduction to GUI programming
Tkinter fundamentals
widgets and controls
event handling
layouts
form creation
input validation
introduction to HTTP requests
APIs and JSON responses
web data retrieval basics

18. Python Libraries and Data Analysis

Topics:

Introduction to NumPy
arrays and array operations
introduction to Pandas
Series and DataFrames
data cleaning
missing-value handling
data filtering
data sorting
data aggregation
CSV and Excel data processing
Matplotlib basics
charts and data visualization

19. Python for Automation

Topics:

Automation fundamentals
file and folder automation
batch file processing
working with Excel files
email automation basics
web scraping concepts
HTTP requests
task automation scripts
report generation
automation projects

20. Introduction to Artificial Intelligence and Machine Learning

Topics:

AI fundamentals
machine learning concepts
supervised learning
unsupervised learning
training and testing datasets
data preprocessing
feature selection basics
regression
classification
clustering
introduction to Scikit-learn
model evaluation basics
introductory AI projects

21. Practical Programming and Problem Solving

Topics:

Number-based programs
mathematical calculations
string-based problems
list and dictionary exercises
file-processing programs
logical reasoning problems
coding challenges
debugging exercises
real-world problem-solving tasks

22. Testing and Code Quality

Topics:

Unit testing
assertions
introduction to PyTest
test cases
debugging
logging
code readability
PEP 8 guidelines
documentation
code refactoring
basic software development practices

23. Mock Tests and Assessments

Topics:

Module-wise mock tests
Python fundamentals MCQs
output prediction questions
syntax-based tests
coding assessments
debugging tests
data structures quizzes
OOP practice tests
timed programming challenges
practical assignments
performance analysis
revision tests

24. Final Projects and Certification Preparation

Topics:

Student management system
library management system
calculator application
expense tracker
file automation tool
data analysis project
database-driven application
introductory machine learning project
project documentation
code presentation
final practical assessment
course revision and certification preparation

Why Choose Study Trigger Janakpuri New Delhi

Discover the unique advantages that make our learning platform stand out

Academic Support

Expert guidance from top subject specialists
Daily doubt-clearing for zero concept backlog
1-on-1 mentorship with performance tracking

Exam-Focused Preparation

Structured & exam-aligned syllabus coverage
Targeted Previous Year Questions (PYQs) practice
Regular Mock Tests and All-India Test Series

Performance & Results

Detailed Performance Analysis
Rank Improvement Strategy
Time Management & Exam Strategy Sessions

Why enroll for Python Coaching in Janakpuri New Delhi ?

Unlock your potential with Python Coaching in Janakpuri New Delhi

Strong Foundation

Building a strong conceptual foundation early provides a decisive edge across all high-stakes competitive examinations. Mastering fundamental concepts through standard core curricula and foundational frameworks ensures long-term retention and flexible problem-solving.

Concept Clarity & Problem Solving

Master core concepts through structured learning, consistent practice, and detailed analysis of previous years' questions. Building strong analytical thinking and systematic problem-solving skills is essential for long-term success in any high-stakes competitive evaluation.

High Selection Opportunity

Starting early significantly increases your chances of selection into top-tier institutions and competitive positions. Consistent, long-term preparation yields superior rankings, greater flexibility, and outstanding career opportunities across any field.

Course Overview: Python Coaching in Janakpuri New Delhi

Essential details: objectives, prerequisites, schedule, and outcomes

Develop a strong understanding of Python fundamentals, syntax, data types, variables, loops, and functions. Build problem-solving and logical thinking skills through practical coding exercises and real-world programming tasks. Apply Python concepts to automation, data analysis, and basic software development projects.