Ainwik Infotech · Course Curriculum

Python
Beginner to Advanced

Build a strong foundation in Python programming and progress toward advanced concepts, practical applications, and database connectivity—with an interactive, hands-on learning approach.

Beginner friendlyCore PythonOOP & ModulesFiles & Databases
Explore Course Curriculum 
# Your Python journey starts here
def welcome(name):
    return f"Hello, {name}!"

student = "Future Developer"
print(welcome(student))

# Learn. Practice. Build.
Beginner → AdvancedProgressive learning path
Practical ApproachLearn concepts through practice
Core + ApplicationsProgramming, OOP, files & databases
About the course

Start from the basics. Grow with confidence.

This curriculum is designed for learners with no prior programming background as well as those who already know programming and want to explore Python in depth.

What you’ll learn

Understand programming fundamentals, write Python code, work with built-in data structures, organize reusable code, handle errors, and work with files and databases.

  • Programming concepts and Python syntax
  • Variables, data types, operators, conditions and loops
  • Functions, exceptions, modules and OOP
  • Files, JSON, CSV and MySQL connectivity

How the course is approached

Learn interactively from the very basics, with practical explanations and examples. The curriculum also includes doubt clarification sessions.

  • Step-by-step progression through core concepts
  • Explore commonly used Python modules and tools
  • Practice working with structured data and databases
  • Additional concepts may be covered as tasks require
Detailed syllabus

Explore the Python curriculum

Open each module to view the topics covered. The listed headings may include multiple subtopics, and additional concepts may be included during the course.

01Programming & Python Introduction
  • What is programming? Types of programming languages
  • Machine, assembly and high-level languages
  • Algorithm vs pseudocode vs program
  • Software Development Life Cycle
  • How compilers and interpreters work
  • Compiler vs interpreter
  • What is Python? Versions and Python 2.x vs 3.x
  • Why learn Python and where it is used
  • Python modules in various technologies
  • Who uses Python? Advantages, disadvantages and career opportunities
02Python Setup & Programming Basics
  • Minimum system requirements and installation
  • Interactive mode (CLI), IDEs and IDLE
  • Installing IDEs and dependent packages
  • Online Python interpreters
  • Syntax rules, indentation and case sensitivity
  • Keywords and Python keywords
  • Comments and multiline comments
  • Hello World program
  • Executing code with and without an IDE
03Variables & Data Types
  • Variables, creation and assignment
  • Naming rules and conventions
  • Multiple assignment and reassignment
  • Variable address and type
  • Objects vs references; id() and type()
  • is vs ==
  • Introduction, importance and categories of data types
  • Python data types and their representation
04String & List Data Types
  • Strings: defining, quotes and multiline strings
  • Escape characters, backslash, newline and empty strings
  • String length, indexing and character access
  • Concatenation, repetition, membership and methods
  • index vs find; sorting and reversing strings
  • Lists: homogeneous vs heterogeneous elements
  • Lists vs arrays; initialization and length
  • Accessing/indexing, nested lists and concatenation
  • Repetition, item replacement and membership
  • List methods; append vs extend; remove vs pop
05Numeric & Boolean Data Types
  • Integer introduction and numeric string conversion
  • Integer operations, abs() and pow()
  • Float introduction and numeric string conversion
  • Rounding off, float to int, round() vs int()
  • Boolean introduction
  • Values evaluating to True or False
  • Converting other data types to Boolean
06Tuple, Set & Dictionary
  • Tuple initialization, constructors, length and empty tuples
  • Single-element, nested and accessible tuples
  • Tuple vs list, concatenation, repetition and methods
  • Mutable behavior in tuples; choosing tuple or list
  • Set initialization, purpose, properties and empty sets
  • Set methods; set vs frozenset
  • Dictionary initialization, properties, keys and values
  • Allowed key data types, length and iteration
  • Access, membership, add, update and delete elements
  • Dictionary methods
07Mutability, Slicing & Copying
  • Mutable vs immutable data types
  • Examples and differences between mutable and immutable types
  • What is slicing? Slicing syntax and step parameter
  • Slicing strings, lists and tuples
  • Slicing with negative indexes
  • Type conversion
  • Deep copy and shallow copy
08Operators, Input & Control Structures
  • Arithmetic, comparison and assignment operators
  • Logical and identity operators
  • input(), default input data type and input variations
  • Converting input and eval()
  • Control structures: if, elif and else
  • if-else, if-elif-else and nested structures
  • range() function
09Loops & String Formatting
  • What is a loop? for and while loops
  • Choosing the appropriate loop
  • range() in loops and nested loops
  • break, continue and pass statements
  • What is string formatting?
  • format() function and argument indexes
  • Named arguments and f-strings
10Functions
  • What is a function and when to use one?
  • Defining, calling and creating functions
  • Printing from a function
  • Arguments vs parameters; passing arguments
  • Types of parameters and variable scopes
  • return keyword, returning None and tuples
  • *args and **kwargs
11Exception Handling & File Operations
  • Exceptions, exception handling and why it matters
  • Types of Python exceptions
  • try, except, finally and else
  • assert and raise
  • Opening, reading, writing and appending files
  • read vs readlines; file operation modes
  • File cursor, attributes and methods
  • Context manager (with)
12OS, Sys & Custom Modules
  • Importing os; current and changing working directory
  • Creating directories and directory trees
  • Renaming, copying and removing files/directories
  • Listing directory items and walk()
  • Managing environment variables
  • sys: Python version and executable path
  • Command-line arguments, argv and exiting programs
  • Object reference count
  • Creating and importing your own modules
  • Subdirectories, importing specific functions/classes
  • Meaning of name == "__main__"
13Collections, JSON & Object-Oriented Programming
  • Collections: Counter, NamedTuple, OrderedDict, defaultdict and deque
  • JSON, its uses and Python json module
  • load, dump, loads, dumps and indent
  • OOP concepts, classes, objects and attributes
  • Constructor (__init__) and methods
  • Instance and class variables
  • Public, protected and private access modifiers
  • Instance, class and static methods
  • Inheritance: single, multiple, multilevel and hierarchical
  • Abstraction, polymorphism, overloading and overriding
14Packages & Common Python Modules
  • Module management with pip and PyPI
  • Commonly used built-in functions
  • Random module: random, randint and randrange
  • choice, choices, shuffle and sample
  • Math module: ceil, exp, fabs and factorial
  • floor, fmod, fsum, gcd, log, pow, prod and sqrt
15CSV Files & Database Connectivity
  • Reading CSV files
  • Reading CSV into a dictionary
  • Reading CSV with pandas
  • Writing CSV files and dictionaries to CSV
  • Writing CSV with pandas
  • Database connection strings and connect()
  • Running database queries and checking returned rows
  • Creating tables and inserting/updating data
  • execute, fetchone, fetchall and fetchmany
  • Demo with MySQL
16Advanced Python Concepts
  • Recursion
  • Map, filter and reduce
  • Enumerate and zip
  • Lambda functions
  • Comprehensions: list, dictionary and set
  • Decorators
  • Doubt clarification sessions

The curriculum headings are indicative. Multiple subtopics may be covered under each heading, along with additional concepts based on task requirements.

Learning journey

Build your Python skills step by step

A structured path through the major areas of the course.

⌘

Programming Foundations

Understand programming logic, Python setup, syntax, variables and data types.

{}

Core Python

Work with collections, operators, conditions, loops, strings and functions.

⚙

Write Reusable Code

Use modules, exception handling, file operations and object-oriented programming.

▤

Work with Data

Read and write JSON and CSV files, and explore database connectivity with MySQL.

λ

Advanced Concepts

Explore recursion, functional tools, comprehensions, lambda functions and decorators.

✦

Interactive Learning

Learn with a practical approach and use doubt clarification sessions to support your progress.

Ready to begin your Python journey?

Start with the fundamentals and work your way toward advanced Python concepts with Ainwik Infotech.

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