Highlighting key aspects: [1]

• Growing Demand & Rewards: Python’s versatility and ease of use are driving the integration of Python full-stack development in businesses, leading to increased demand for developers and offering profitable career paths with high salaries (average 5.5 LPA in India).
• What is Full-Stack Development: It combines front-end (user experience) and back-end (server-side) development, with Python full-stack development focusing on creating streamlined applications and ensuring proper functionality.
• Role of a Developer: A full-stack Python developer builds web applications by bridging client and server sides, requiring knowledge of Python, front-end, and back-end infrastructures.
• Key Responsibilities: These include building user interfaces, handling server-side logic and data processing, interacting with databases, implementing APIs, developing the product life cycle, writing clean code, and performing testing and debugging.

[1] https://adhiyamaan.ac.in/ace/iqac/ssr/s_doc/five/521c/1687.pdf

• Prerequisites:
  • Basic understanding of Python programming (functions, loops, data types).
  • Web development basics, database management, and version control with Git.
  • Essential soft skills like problem-solving, communication, prioritization, leadership, quality assurance, and continuous learning.
• Steps to become a Python full-stack developer:
  1. Learn The Fundamentals: Master Python programming, including data types, loops, functions, and variables. Familiarize yourself with Python frameworks and libraries, and practice applying these fundamentals to solve coding challenges and build programs.
  2. Learn Front-End Development: Acquire knowledge of front-end technologies like HTML, CSS, and JavaScript to create user interfaces. Additionally, learn about user input, animations, user experience, and complex layouts for successful app development.
  3. Explore Back-End Development: This step involves delving into the back-end aspects of development.

• Master Core Skills:Learn back-end frameworks, server-side logic (models, views, routing), database management, and version control systems like Git and Bitbucket.
• Embrace Modern Development Practices:Understand and implement Continuous Integration and Deployment (CI/CD) principles, including automated testing, CI/CD tools, and containerization.
• Validate Skills and Stay Current:Obtain professional certifications to enhance job eligibility and regularly practice and update your knowledge with the latest technologies in the ever-evolving field of full-stack development.
• Python’s Role:Python is a strong choice for full-stack development, used for both front-end and back-end due to its support from various tools and frameworks.

• Web Applications:Development of websites using Java (JDBC, Servlets, JSP, Spring) and C#.NET (ASP.NET, ASP Micro service), as well as Python (Django, Flask, Bottle, Pyramid). Python is noted for enabling less code due to its “Rich of MODULES.”
• Artificial Intelligence Applications:This includes Machine Learning and Deep Learning.
• Multimedia and Data-focused Applications:Development of Image Processing, Audio and Video Based Applications, Web Scrapping/Harvesting, Business Applications (e.g., Flipkart, Amazon), Scientific Applications, Data Analysis and Data Analytics.
• Software Development & System Applications:This covers Software Development Projects, OS Installers, Development of Languages (Spark, Scala), Desktop GUI Applications, Automation of Testing, Complex Math Calculations, Console Based Applications, Animation Based Applications, CAD/CAM Based Applications.
• Emerging Technologies & Other Sectors:Development of IoT Applications, Cyber Security Applications, Computer Vision, and applications in the Education Sector.

• Static Typed Languages:Require explicit variable declaration and data type definition before use, leading to compile-time errors if not followed. They do not allow storing different data types in a variable once declared (e.g., C, C++, Java).
• Limitations of Static Typed:The programmer might not know the exact data type of a value, and variables cannot store different types of values once defined.
• Dynamically Typed Languages:Do not require explicit variable declaration or data type definition; the execution environment assigns the data type based on the assigned value (e.g., Python, JavaScript).
• Advantages of Dynamically Typed:Programmers don’t need to know the exact data type of a value, and variables can dynamically change their assigned data type.

• Source Code to Byte Code:A Python program starts as source code (e.g., sum.py). The Python Compiler/Interpreter initiates a “Compilation Phase” where it reads the source code line by line and converts it into intermediate code, known as Byte Code. This Byte Code is saved in a .pyc file (e.g., sum.pyc).
• Execution by Python Virtual Machine (PVM):The generated Byte Code is then executed by the Python Virtual Machine (PVM) in the “Execution Phase”.
• Machine Understandable Code:The PVM reads the Byte Code line by line and converts it into machine-understandable binary code or executable code (e.g., 00101010101111...). This final executable code is understood by the operating system and the processor, allowing the program to run and perform its intended functions.

• Python Program Execution:
  • Python programs are saved with a .py extension.
  • Execution involves two internal processes: Compilation and Execution.
• Compilation Process:
  • The Python Source Code is submitted to the Python Interpreter (Compiler).
  • It reads the source code line by line, checks for syntax errors.
  • If no errors are found, the Interpreter converts the code into Intermediate Code (BYTE CODE) with a .pyc extension.
  • Errors are displayed on the console if found during this stage.
• Execution Process:
  • The Python Virtual Machine (PVM) reads the Python Intermediate Code (Byte Code) line by line.
  • It converts the Byte Code into Machine Under Stable Code (Executable or binary Code).
  • This machine code is then read by the Operating System (OS) and Processor to produce the final result.
• Interpretation-Based Language:Python’s execution involves line-by-line conversion during both compilation and execution, making it an interpretation-based programming language.
• Definition of PVM:The PVM is a program within the Python software responsible for reading Byte Code line by line and converting it into stable machine-executable code.

• Freeware: is software downloaded freely from an official source (e.g., Python, Java).
• Open Source software: is official software customized by companies with permissions, with ‘CPYTHON’ being the standard name for Python software.
• Customized versions of ‘CPYTHON’ are known as Python Distributions, tailored for specific purposes like in-house tools for project evaluations and performance.
• Examples of Python Distributions and their uses include JPython/Jython for Java applications, IronPython/Ipython for C#.Net applications, Micro Python for Micro Controller applications, Anaconda Python for Big Data/Hadoop, and StackLess Python for Concurrency-based applications.

• Low-Level Programming Languages:These languages store data in low-level formats like Binary, Octal, and Hexadecimal, which are not directly understandable by end-users.
• High-Level Programming Languages:These languages allow programmers to specify data in low-level formats, but their execution environments automatically convert this data into high-level, human-understandable formats like the Decimal Number System.
• Python as a High-Level Language:Python is given as an example of a high-level programming language due to its ability to handle this automatic conversion for user readability.
• Examples:The text provides code examples demonstrating how Python handles data representation and conversion between different number systems (binary, hexadecimal, decimal, octal).