DEMO On PYTHON WEB Development.pptx
- 1. DEMO ON PYTHON WEB DEVELOPMENT
- 2. ABOUT ME Title Details FULL NAME SHAIK IRFAN Qualification MBA University JNTUK Total IT Experience 6+ Years Exp as Python Trainer 5 Years Email Irfan.uideveloper6@gmail.com Batches Run So Far 20 +
- 4. WEB DEVELOPMENT CLIENT SERVER ARCHITECTURE
- 6. FRONT END VS BACKEND WEB DEVELOPMENT
- 8. FRONT END DEVELOPER • A front-end developer is someone who works on software, like desktop or mobile websites, that users interact with. Specifically, a front-end developer spends time on the side of technology that the user touches and sees.
- 10. BACKEND WEB DEVELOPMENT • Backend web development involves building all the aspects of a website that are not visible to the users but are essential for the proper working and functioning of the website. It is the behind-the-scenes function of different web applications and involves creating and maintaining the code that runs a website smoothly. • Database • Server • Application
- 12. WHY PYTHON ? • Interpreted Language: Python is processed at runtime by Python Interpreter. • Object-Oriented Language: It supports object-oriented features and techniques of programming. • Interactive Programming Language: Users can directly interact with the Python interpreter to write programs. • Easy language: Python is simple to learn, particularly for newcomers. • Straightforward Syntax: The formation of Python syntax is simple, making it popular. • Easy to read: Python source code is clearly defined and visible. • Portable: Python codes can be run on various hardware platforms with the same interface. • Extendable: Users can add low level-modules to the Python interpreter. • Scalable: Python provides an improved structure for supporting large programs than shell scripts.
- 13. PYTHON OVERVIEW • Python is an advanced, interpreted programming language known for its readability and simplicity. It supports various programming paradigms, such as procedural, object-oriented, and functional. • Python's wide range of applications, from web development and app creation to data analytics and artificial intelligence, underscore its usefulness. Its robust assortment of libraries and frameworks contributes to its popularity among novices and professionals. • Python is a programming language that includes features of C and Java. It provides the style of writing elegant code like C, and for object-oriented programming, it offers classes and objects like Java.
- 14. PYTHON FEATURES
- 15. PYTHON APPS
- 17. COURSE DETAILS Sno Title Description Addn Details 1 Category Technical Developer Role 2 Duration 60 Business Days Approx 80 Hrs 3 Delivery Method Online Via Microsoft Teams 4 Training Material Soft Copy Shared Via Google Drive 5 Labs Assignments Assignments will be Given According to Topic 6 Apps Mini Projects Will Develop Apps from Small scale to Large Scale
- 18. COURSE CONTENTS Sno Chapter Description Duration 1 An Intro to Web Development • What is Web Development • Full Stack Web Development 1 Day 2 Intro to Python & Setup Python ,History & Features 1 Day 3 Comments ,Variables Variables ,Rules , & Output Formats 1 Day 4 Operators & Data Types Operator types & Diff Data types 1 Day 5 Strings String types & Methods 1 Day 6 List & Tuples List ,Tuples Methods,Diff B/w List & tuple 1 Day 7 Sets & Dictionaries Sets , Frozen Set ,& Dictionary types 1 Day 8 Conditional Control Statements Diff Conditional Control Statements 1 Day 9 Looping Control Statements While ,For loops, Break ,Continue ,pass 1 Day 10 Functions Function Types ,Arguments & Lambda fn 1 Day
- 19. COURSE CONTENTS Sno Chapter Description Duration 11 Modules in Python Module Types ,Diff Ways of importing Module 1 Day 12 Exception Handling Error Types,Exception handling using Try Except 1 Day 13 File Handling Modes ,Reading ,Writing and Appending to Files 1 Day 14 Oops Concept Operator types & Diff Data types 1 Day 15 Classes & Objects Class ,Constructor, Attributes ,Instance of Class 1 Day 16 Inheritance Diff Levels of Inheritance 1 Day 17 Data Abstraction ,Encapsulation ,Polymorphism Abstraction ,ABC Module ,Encapsulation Importance ,Polymorphism 1 Day 18 Generators & Iterators Iterator ,generators function any and all 1 Day 19 Data Structures Types ,Built-in ,User Defined Data Structures 1 Day 20 Collections Function Types ,Arguments & Lambda fn 1 Day
- 20. COURSE CONTENTS Sno Chapter Description Duration 21 Writing GUI’s In Python GUI, Tkinter Module , Widgets ,Components 3 Day 22 Python –MySQL Database Database Setup , CRUD operations 3 Day 23 Threads Essentials Multi-Threading ,Synchronization,Life Cycle 1 Day 24 API JSON, API Data fetching ,Methods 1 Day 25 Front-End & Web Basics HTML ,CSS and Js 4 Day 26 DJANGO Overview ,MVT Architecture ,Folder Structure & Others 7 Day
- 21. WHAT CAREER PATHS ARE THERE WITH PYTHON? • Data Analysts • Data analysts and scientists work with massive datasets, produce visualizations, and develop predictive models using Python, a popular choice for data analysis and machine learning. • To manipulate, analyse, and visualize data, they employ libraries like NumPy, Pandas, Matplotlib, and Scikit-learn. They also use machine learning tools like TensorFlow, Keras, and PyTorch to create and train their models. They must also be well-versed in statistics and possess business sense to make data-based decisions.
- 22. • Cyber Security Expert • Professionals in the field of cybersecurity frequently use Python to assess and defend against online threats. In addition, developers in this sector use Python to create and train models for natural language processing and other AI applications. As a result, Python is a popular language for building AI and NLP models. DevOps professionals also use Python to automate software testing and deployment.
- 23. • Machine Learning Engineer • Machine Learning Engineers use Python to construct and train models for things like natural language processing and computer vision, while Research Scientists are primarily engaged in scientific research. Python is another excellent tool for this purpose, and it is used to analyse and visualise data in domains such as physics and bioinformatics. • Machine Learning Tools– PyML, PyBrain, scikit-learn, MDP Toolkit, GraphLab Create, MIPy
- 24. • Database Administrator • If you’re more interested in the backend and databases, consider becoming a Database Administrator. Python is frequently used for database administration and management, and many businesses utilise it to administer and maintain their databases. So it’s undoubtedly a popular career path.
- 25. Software Engineer • Analyze user requirements • Write and test code • Write operational documentation • Consult clients and work closely with other staff • Develop existing programs • Develop high-quality software architecture • Automate tasks via scripting and other tools • Review and debug code
- 26. THANK YOU Any Questions ?