def learn_python(): skills = ['OOP', 'Networking', 'DB', 'Threading'] for skill in skills: master(skill) return career_ready() if __name__ == '__main__': learn_python()
// Course 02 · Development Track

Python
Developer

LevelCore → Advanced
IncludesSQL + Projects
FormatLive + Recorded
SupportPlacement Assist
// Overview

What You Will Learn

A complete journey from Python fundamentals to advanced application development. You'll master data structures, object-oriented programming, database communication, network/socket programming, multithreading, file handling, and GUI development using real-world projects throughout.

This program is designed for GetCertify Training and Certifications by industry experts — giving you both theoretical depth and the hands-on confidence to build, deploy, and maintain Python applications.

// Journey

Your Learning Path

01
Foundations
Programming paradigms, Python syntax, I/O operations, operators, data types, and flow control.
02
Data Structures
Deep mastery of strings, lists, tuples, sets, frozensets, dictionaries, and comprehensions.
03
Functions, Modules & OOP
Lambda functions, generators, iterators, full OOP (encapsulation, inheritance, polymorphism), abstract classes.
04
Advanced Python
File/stream handling, regular expressions, exception handling, logging, multithreading, and the collection module.
05
Real-World Applications
Database communication (PDBC), socket/network programming, Tkinter GUI development, and live projects.
// Core Modules

Module Highlights

// Module 01
Python Fundamentals
  • Literals, identifiers & variables
  • Interactive vs scripting mode
  • Input / Output operations
  • All operator types
  • Flow control & loops
// Module 02
Data Structures
  • String handling & slicing
  • List, Tuple & Set operations
  • Dictionary & hashing
  • Comprehensions (List/Dict/Set)
  • Shallow & deep copy
// Module 03
Functions & OOP
  • Lambda & recursive functions
  • Generators & yield
  • Classes, objects & constructors
  • Inheritance (single to hybrid)
  • Polymorphism & MRO
// Module 04
File & Exception Handling
  • Text & binary file operations
  • CSV, JSON & XML parsing
  • Pickle (serialization)
  • Exception hierarchy & custom exceptions
  • Regular expressions (re module)
// Module 05
Multithreading & Logging
  • Thread lifecycle & types
  • Threading module functions
  • Synchronization & Lock class
  • Logging levels & log files
  • Custom logger implementation
// Module 06
Database & Networking
  • Python DB Communication (PDBC)
  • Parameterized & static queries
  • Transaction management
  • Socket programming (TCP/UDP)
  • Chat & client-server apps
// Code Preview

Sample Topics You'll Build

getcertify_demo.py
# OOP — Inheritance & Polymorphism class Trainer: def __init__(self, name): self.name = name def teach(self): return f"Teaching: {self.name}" # Threading — Concurrent execution import threading def run_session(topic): t = threading.Thread(target=teach, args=(topic,)) t.start() # Socket — Client-Server Chat App import socket server = socket.socket(socket.AF_INET, socket.SOCK_STREAM) server.bind(('localhost', 9090)) server.listen(5) # ... full chat server with DB integration # Generator — Memory efficient data processing def student_scores(data): for record in data: yield record['score'] * 1.1 # bonus applied
// Complete Syllabus

Full Topic List

01Intro to Programming & Python Basics
8 topics
  • Programming language types & translators
  • Why Python — features & limitations
  • Python versions & distributions
  • IDLE, IDEs & command prompt
  • Identifiers, variables & constants
  • Python syntax & file extensions
  • Byte code & interpreter internals
  • Python Debugger
02I/O, Operators & Data Types
10 topics
  • input(), print() & eval()
  • Arithmetic & assignment operators
  • Relational, logical & bitwise operators
  • Membership & identity operators
  • Ternary operator & shorthand
  • Operator precedence
  • Classification of data types
  • Flow control & conditional statements
  • Looping & nested loops
  • Transfer flow (break/continue/pass)
03String, Bytes & Range
8 topics
  • Mutable vs immutable strings
  • Forward & backward indexing
  • Slicing with various syntaxes
  • String formatting
  • Pre-defined str class functions
  • Byte & bytearray operations
  • Range data type & functions
  • Memory management of strings
04Data Structures — List, Tuple, Set, Dict
12 topics
  • List properties, types & methods
  • Mutable & immutable list elements
  • Nested lists & shallow/deep copy
  • zip() & unzip
  • Tuple properties & immutability
  • Nested tuples — list in tuple, tuple in tuple
  • Set & frozenset operations
  • Mathematical set methods
  • Dictionary — hashing & access
  • Sorting, nested & updating dictionaries
  • Comprehensions (List/Dict/Set)
  • NoneType — None keyword & usage
05Functions, Modules & Packages
12 topics
  • Function types & arguments
  • Global & local variables
  • Lambda / anonymous functions
  • Recursive functions
  • Iterables, iterators & generators
  • yield vs return
  • Nested functions & monkey patching
  • Built-in/special functions
  • Module types & re-use approaches
  • Aliasing module/function/class names
  • Packages, __init__.py & PIP
  • Installing & managing packages
06Object Oriented Programming
14 topics
  • Encapsulation, abstraction, inheritance, polymorphism
  • Classes, objects, self & cls
  • Types of variables & methods
  • Constructors & destructors
  • Inner classes & data binding
  • Single, multi-level, multiple, hierarchical & hybrid inheritance
  • Method Resolution Order (MRO)
  • Duck typing & operator overloading
  • Method overriding & super()
  • Abstract Base Classes
  • Composition vs aggregation
  • Object class
  • Exception handling hierarchy
  • Custom / user-defined exceptions
07File Handling, RegEx & Collection Module
10 topics
  • Text & binary file modes
  • Reading, writing & random access
  • CSV module & Pickle serialization
  • XML parsing & JSON files
  • Regular expressions — re module functions
  • Special chars, quantifiers & character classes
  • Counter, OrderedDict, Defaultdict
  • ChainMap, Namedtuple, Deque
  • OS module — files, directories & system commands
  • Date/Time, Calendar & Garbage Collection
08Multithreading, PDBC, Networking & GUI
12 topics
  • Thread lifecycle & threading module
  • Creating single & multiple threads
  • Lock class — acquire() & release()
  • Logging levels & customized logger
  • Python DB Communication steps
  • Static vs dynamic queries
  • Parameterized queries & transactions
  • Socket module — TCP & UDP
  • Server & client side programming
  • Chat app & client-server + DB app
  • Tkinter — widgets, layouts & events
  • Turtle graphics
// Technologies

What You'll Work With

🐍
Python 3.x
Core language
🗄️
SQL / PDBC
Database
🖼️
Tkinter
GUI dev
🌐
Socket
Networking
🧵
Threading
Concurrency
📦
PIP / PyPI
Packages
📄
JSON/CSV/XML
Data formats
🔍
RegEx (re)
Pattern match
// Audience

Who Should Join?

🎓
CS / IT students who want to build strong programming fundamentals
🔐
Aspiring cybersecurity professionals — Python is the scripting backbone of hacking tools
💼
Working professionals shifting into development or automation roles
🤖
Anyone targeting data science, ML, or automation as a next step
Enroll in This Course
  • 📡Live interactive sessions
  • 🎬Every session recorded
  • 💬Dedicated doubt sessions
  • 🏭Industry expert sessions
  • 🔬Live project labs
  • 🎯Mock interviews & placement support
  • 📄Certificate of completion
Enroll Now →
// Have Questions?
+91-8149405459
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