Python Full Stack Developer

A Python Full Stack Developer is a programmer who works on both the front-end (client-side) and back-end (server-side) of web applications using Python as the core backend language.

🔹 Front-End (Client-Side)

  • HTML, CSS, JavaScript

  • Frameworks/Libraries: React, Angular, Bootstrap

🔹 Back-End (Server-Side)

  • Python with frameworks like Django or Flask

  • API development using Django REST Framework or Flask REST

🔹 Database

  • SQL (MySQL, PostgreSQL)

  • NoSQL (MongoDB)

🔹 Tools & DevOps

  • Version Control: Git, GitHub

  • Deployment: Docker, Heroku, AWS/Azure

  • CI/CD: Jenkins (optional)

🔹 Roles & Responsibilities

  • Design dynamic web interfaces

  • Build RESTful APIs

  • Manage databases and server-side logic

  • Deploy and maintain full-stack applications

Python Full Stack Course Contents

  • Introduction
  • Understanding the Open source model.
  • Installation of python in Linux/windows.

Understanding Interpreters

  • ipython
  • bpython
  • Getting started with Python.
  • Getting to understand Help.

Exploring the objects.

  • Setting up the IDE and various IDEs.
  • Setting up using the PEP-8 .
  • Tabs or spaces.
  • Maximum line length.
  • Blank lines.
  • Source file Encoding.

Creating the first python program.

  • Understanding sha-bang.
  • Understanding the .py extension.
  • How to run the python programs.

Types and Operators

  • Introduction to data types.
  • Type casting in python.
  • Various ways of printing.
  • Boolean operators.
  • Playing with numbers.
  • Playing with strings.
  • String quotes.
  • Raw strings.
  • Docstring & comments.
  • Accepting inputs.
  • Control statements

Conditional statements

  • Introduction
  • Boolean expressions
  • Logical Operators
  • Using If condition
  • Pass
  • Applying PEP-8 standards.

Looping statements

  • for
  • while
  • range
  • break
  • continue

Data Structures

  • What are lists?
  • Mutable lists.
  • In operator.
  • Traversing a list.
  • List operations.
  • Converting a list to string.
  • Converting a string to list.
  • Aliasing in lists.
  • Functions in lists.

Tuples

  • What is tuples.
  • Indexing in tuples.
  • Slicing in tuples.
  • Immutable tuples.
  • Packing and unpacking.
  • Lists and tuples.
  • Functions in tuples.

Dictionaries

  • What are dictionaries?
  • Keys and values.
  • In operator.
  • Looping in dictionaries.
  • Lookups in dictionaries.
  • Dictionaries and tuples.
  • Functions in dictionaries.
  • Dictionaries vs sets.

Functions

  • Function basics
  • Scope rules in functions
  • Global scope.
  • Local scope.

Understanding the return keyword.

  • Argument passing
  • Default argument list.
  • Keyword arguments.
  • Understanding the docstrings.
  • List comprehensions.
  • Lambda, map, filters.
  • Understanding the closures.

MODULES

  • What are modules?
  • Understanding the namespaces.
  • Various ways of importing.
  • “reload” operation.
  • Understanding about sys.path
  • dir () function.
  • understand the __main__ and __name__operation.
  • Installation of a module.
  • Understanding the virtualenv.
  • Packaging a module.

FILES

  • Fancier Output Formatting
  • Reading and writing files
  • Methods of File Objects
  • * Reading
  • * Writing
  • * Modify
  • Buffering in files.
  • Parsing a xml files.
  • Parsing a xls files.

Pickles

  • Output using Pickle
  • Introduction to subprocess, os

EXCEPTIONS

  • What are exceptions?
  • Simulating errors.
  • Various types of exceptions.
  • exception handling – try,except,else,finally
  • trapping errors.
  • raising exceptions.
  • Customized exceptions.
  • Ø REGULAR EXPRESSION
  • Understanding the regular expressions.
  • Getting started.
  • Compiling a pattern.
  • Flags – ignorecase, dotall
  • Working with multiple flags.
  • Search vs match.
  • Raw string notations.
  • Special characters
  • Globbling characters
  • Anchors
  • Character sets
  • Grouping

DEBUGGING

  • Introduction to debugging.
  • Debugging using IDE.
  • Various modes to get to pdb.
  • Script mode, Enhanced script mode.
  • Post mortem mode.
  • Run mode.
  • Trace mode.
  • Playing with the trace mode.
  • listing
  • step, next
  • continue, break
  • printing variables
  • assigning values
  • Restart and return.
  • Where, stacks, breakpoints.
  • repeat

LOGGING

  • Understanding logging.
  • When to use logging.
  • Understanding the log levels.
  • Understanding stream handling using Basic
  • Config
  • Understanding logger.
  • Understanding handlers.
  • Understanding Formatters.
  • Understanding filters.
  • Demo: Playing with the syslog handlers.
  • Demo: Playing with the Stream handlers.
  • Demo: Playing with the File handlers.
  • CLASSES
  • OOP: what is object oriented programming.
  • Understanding the classes in python.
  • Lets create a bank account.
  • Using the class statement
  • Methods in classes.
  • Constructor.
  • Magic methods.
  • Understanding Inheritance.
  • Understanding Polymorphism.
  • Understanding Encapsulation.
  • Operator overloading.

SOCKET PROGRAMMING

  • Understanding basics
  • Protocols – udp & tcp.
  • Working with sockets
  • How to connect to server.
  • Connect on port.
  • Sending data.
  • Receiving data.
  • How to close the socket.
  • Programming a socket server
  • Bind a socket.
  • Listen to incoming connections.
  • Accept connections.

Live server

  • Handing connections.
  • Thread class
  • Thread library
  • Thread pool
  • Task thread
  • Multiprocessing
  • Demo: common chat application.
  • Demo: FAQ chat application.
  • Demo – Port scanning software.

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Python Programming Course at Learn Tech Masters

Kickstart your coding journey with the Python programming course at Learn Tech Masters. Perfect for beginners and professionals, this course covers core concepts like data types, control structures, functions, and object-oriented programming. Learn to build real-world applications and automate tasks efficiently using Python.