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Curriculum

Topic Subtopic Basic Advanced Intermediate Industry-ready
Introduction to Python
Introduction to Python
Python Syntax and Structure
Comments
Docstrings
Variables
Data Types
Integers
Floats
Strings
Booleans
Input and Output
Type Conversion and Casting
Python Operators
Arithmetic Operators
Assignment Operators
Comparison Operators
Logical Operators
Bitwise Operators
Membership Operators (in, not in)
Identity Operators (is, is not)
Conditional Statements
if
elif
else
Loops
for Loops
while Loops
Nested Loops
Loop Control Statements
break
continue
pass
Data Structures in Python
String Methods
Slicing
Indexing
String Formatting
Lists
List Methods and Slicing
List Comprehensions
Using Lists as Stacks
Using Lists as Queues
Nested List Comprehensions
The del statement
Tuples
Immutability
Tuple Methods
Dictionaries (Basic)
Key-Value Pairs
Dictionary Methods
Dictionary Comprehensions
Sets
Set Methods
Set Operations
Arrays
Functions
Defining Functions
Positional and Keyword Arguments
Default Arguments
Arbitrary Arguments (*args, **kwargs)
Return Statement
Lambda Functions (Anonymous Functions)
Scope and Lifetime of Variables (Local, Global, nonlocal)
Classes and Objects
Creating Classes
Creating Objects
Attributes and Methods
Inheritance
Single Inheritance
Multiple Inheritance
Multilevel Inheritance
Overriding Methods
Using super()
Polymorphism
Method Overloading (conceptual; Python doesn’t support this directly)
Method Overriding
Encapsulation
Encapsulation
Reading and Writing Files
Opening Files (open())
Modes: r, w, a, r+, etc.
Reading: read(), readline(), readlines()
Writing: write(), writelines()
Working with binary files (rb, wb)
Working with File Paths
Using os and pathlib modules.
File Iterators
Reading files line by line with for loops.
Handling Exceptions in File Operations
Handling Exceptions in File Operations
Working with CSV and JSON Files
csv module for reading and writing CSV files.
json module for JSON serialization and deserialization
Try-Except Blocks
Single except block
Multiple except blocks
Exception Handling
Using else and finally
raise statement.
Built-in Modules
Popular modules: math, os, sys, time, random, re, itertools, collections.
Creating Custom Modules
Creating Custom Modules
Working with Packages
__init__.py and structuring packages.
Importing
Importing
Iterators
Creating custom iterators using __iter__ and __next__.
Generators
Using yield in functions.
Generator expressions
Function Decorators
Creating and using decorators.
Using multiple decorators on a single function
Class Decorators
Class Decorators
Regular Expressions
re.match, re.search, re.findall, re.split, re.sub
Literal characters, special characters.
Quantifiers (*, +, ?, {})
Character classes and sets ([a-zA-Z], \d, \w, etc.)
Anchors (^, $)
Functional Programming
Using map() for transformations.
Filtering sequences with filter().
Aggregating data with functools.reduce()
Lambda Functions
List, Set, and Dictionary Comprehensions
Working with Dates and Times
datetime.date, datetime.time, datetime.datetime.
Formatting with strftime.
Parsing with strptime
Time functions: time(), sleep(), ctime()
Introduction to Threads
What is threading?
Difference between threads and processes.
Using the threading Module
Creating and starting threads.
Using join() and is_alive() methods.
Daemon threads and their use
Thread Synchronization
Avoiding race conditions using Lock, RLock, Semaphore.
Thread-safe data structures (e.g., queue.Queue).
Introduction to Multiprocessing
Why use multiprocessing over threading? (Global Interpreter Lock - GIL)
Creating and managing processes
Using the multiprocessing Module
Process, Pool, and Manager.
Sharing data using Value and Array.
Unit Testing
Writing tests using unittest.
Using assertions (assertEqual, assertRaises, etc.).
Test Discovery
Using unittest or pytest to find and run test cases
Debugging
Using pdb (Python Debugger) for step-by-step debugging
Advanced File Operations
Reading and writing large files efficiently.
Working with temporary files using tempfile.
Directory Operations
Managing directories with os and shutil.
Walking through directories using os.walk()
Error Handling
Catching and handling file-related exceptions (FileNotFoundError, PermissionError).
Data Analysis with Pandas
DataFrame and Series objects.
Pandas
Reading and writing data from various formats (CSV, Excel, SQL, JSON).
Handling missing values (fillna, dropna).
Data type conversions.
String operations on columns.
Filtering and indexing.
Grouping and aggregations (groupby, pivot_table).
Sorting and ranking.
Joining and merging DataFrames.
Cloud-Lab Support
Cloud-Lab Support

Pricing Plans

Sessions Duration Discounted Cost (INR) Original Cost (INR)
Basic 10 10 Days 8,000 16,000
Basic 20 20 Days 6,000 12,000
Intermediate 30 Days 9,000 18,000
Advanced 45 Days 15,000 30,000
Industry-Ready 6 Months (Per day 6 sessions) 60,000 120,000

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