Mastering FastAPI: Building High-Performance APIs with Python
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About The Course
This course is designed to provide a comprehensive understanding of FastAPI, a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. The course covers everything from the basics to advanced features, ensuring that participants can build, test, and deploy robust APIs efficiently.
Pave Your Road to Python Excellence, Lead in Python.
Program
Highlights
Career in Python
In-Depth Learning
Skill Enhancement
Professional Growth
Accredited Certification
Future-Ready Skills
Other Benefits
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Leading the Way in Practical Education
Students Trained
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Facilitated Placements
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Hours of Training
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Years Operations
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We're Widely Accredited
Know your Mentor
- Great Command over Advanced Data Structures
- Expertise in Error and Exception Handling
- Deploys Python FastAPI applications
- Clears Multithreading and Multiprocessing Concepts
- 8+ Years Of Experience
- Trained 800+ Students
- Simplifies Complex Concepts
Python Course Curriculum
Course Objectives:
- Understand the core concepts and features of FastAPI.
- Learn how to create and manage API endpoints.
- Implement data validation and serialization using Pydantic.
- Integrate databases and perform CRUD operations.
- Secure APIs with authentication and authorization mechanisms.
- Explore advanced features like dependency injection and background tasks.
- Test and deploy FastAPI applications.
Module 1: Introduction to Python
- History and Evolution of Python
- Python vs Other Programming Languages
- Understanding Python’s Execution Model (Interpreted vs Compiled Languages)
Module 2: Python Basics
- Mutable vs Immutable Data Types
- Dynamic Typing and Type Checking
- Common Built-in Functions (len, type, id, isinstance)
- Python Comments and Docstrings
Module 3: Control Flow and Loops
- Nested Loops and Loop Optimizations
- else Clause in Loops
- Looping Idioms (e.g., enumerate, zip
- Handling Infinite Loops
Module 4: Data Structures
- Multi-dimensional Lists
- Sorting and Searching in Lists
- Using Dictionaries for Fast Lookups
- Set Operations (Union, Intersection, Difference)
- Understanding frozen set
Module 5: Functions
- Variable Scope and Lifetime
- *args and **kwargs Explained
- Recursive Functions and Recursion Limits
- Partial Functions and Currying (functools.partial)
- Functions as First-class Objects (Passing and Returning Functions)
Module 6: Modules and Packages
- Import System Deep Dive (import, from, as)
- Understanding _name_ == “_main_”
- Organizing Code with Packages
- Exploring Key Standard Library Modules (os, sys, math, random, etc.)
Module 7: Object-Oriented Programming
- Composition vs Inheritance
- Understanding Class and Static Methods (@classmethod, @staticmethod)
- Private and Protected Members (, _)
- Class Variables vs Instance Variables
- Advanced Magic Methods (_getitem, __setitem, __iter, __next_)
Module 8: File Handling
- Working with Binary Files
- Context Managers for File Operations (with statement)
- Reading Large Files Efficiently (Using Generators)
- File Paths and OS Compatibility (os.path, pathlib)
Module 9: Error and Exception Handling
- Catching Multiple Exceptions in One Block
- Using else and finally Clauses in Exception Handling
- Logging Errors (logging module)
- Custom Exceptions with Inheritance
Module 10: Advanced Python Concepts
- Understanding Python Internals (CPython, PyPy, Jython)
- Exploring Python’s Memory Management (Garbage Collection, del Statement)
- Comprehensions (List, Dictionary, Set, and Nested Comprehensions)
- Functional Programming Concepts (Map, Filter, Reduce)
- Decorators with Arguments
- Using dataclasses for Simple Classes
Module 11: Working with Iterators and Generators
- Creating Custom Iterators (_iter_ and _next_)
- Generator Expressions
- Using yield for Lazy Evaluation
- Chaining Iterators with itertools
Module 12: Working with Dates and Times
- Using datetime Module
- Formatting and Parsing Dates (strftime, strptime)
- Calculating Differences Between Dates
- Working with Timezones (pytz, dateutil)
Module 13: Regular Expressions
- Basics of Pattern Matching (re.match, re.search)
- Working with Groups and Quantifiers
- Common Use Cases (Validating Emails, Parsing Logs)
- Optimizing Regex Performance
Module 14: Advanced Data Structures
- Stacks and Queues with collections
- Heaps with heaps
- Graphs and Trees (Introduction)
- Handling Large Datasets with array and NumPy
Module 15: Working with APIs
- Consuming APIs with requests
- Parsing JSON Responses (json Module)
- Error Handling in API Requests
Module 16: Multithreading and Multiprocessing
- Understanding the Global Interpreter Lock (GIL)
- Using threading for Concurrent Execution
- Process-based Parallelism with multiprocessing
- Thread-safe Queues for Communication
Module 17: Testing and Debugging
- Writing Unit Tests with unittest
- Using pytest for Simple and Advanced Tests
- Debugging Techniques (pdb, logging)
Module 18: Working with Third-party Libraries
- Installing and Managing Libraries with pip
- Virtual Environment Management with venv
- Exploring Popular Python Libraries (e.g., numpy, pandas)
Who is This Course For?
- Aspiring developers aiming to master the fundamentals and advanced concepts of Python and FastAPI.
- Students seeking a comprehensive, engaging, and interactive approach to Python and FastAPI training.
- Individuals pursuing careers in web development, backend development, or API development with a focus on Python and FastAPI.
- Anyone interested in learning Python and FastAPI implementation for building high-performance APIs.
- End Users looking to understand processes related to Python and FastAPI and their applications.
- Non-IT Consultants willing to learn Python and FastAPI and become Senior Technical consultants.
- IT Consultants,Python Developers, Software Engineers, Project Managers, and Business Analysts looking to upgrade their skills in the Python and FastAPI ecosystem.
- Students from diverse technical backgrounds, including computer science or IT in B.Tech, BE, BCA and MCA, aiming to enroll in the Python + FastAPI course for a career in the corporate IT sector.
Training Delivery
Discovery call
A call to evaluate training requirements and adjust course and delivery accordingly.
Tech call with the Certified Instructor
A call with the Certified Instructor to address specific queries and requirements.
Design of Customized Curriculum
Tailored curriculum to meet specific learning objectives and organizational needs.
Training and Access to LMS
Commencement of training sessions along with access to the Learning Management System.
Live training
Live training sessions conducted in real time to facilitate interactive learning experiences.
Hands on Role Based training with Labs
Interactive training featuring hands on exercises and specialized labs tailored to specific skillset
Course Materials Access using LMS
Access course materials conveniently through the Learning Management System.
Student Progress Metrics
Monitor student progress through comprehensive metrics and analytics.
Final Quiz in Gamification style
Concluding the training with a gamified final quiz to engage learners and reinforce key concepts.
Certificate of Completion (Verifiable)
Participants provided with a verifiable Certificate of Completion upon successfully finishing the training.
Student Video Testimonial
Watch heartfelt testimonials from our students, sharing their firsthand experiences and
success stories about their transformative learning journeys at our institution.
Hear from our students
Explore firsthand accounts of student experiences. Hear their stories, triumphs, and insights that make our community exceptional. Real voices, real impact.
Thanks GTR Academy
If you are willing to start your career in SAP or if you are already an SAP professional and want to enhance your knowledge for better career growth , Then GTR Academy is one stop solution for all of us . As the mentor is extremely professional and has a wide experience in multiple MNCs , The depth knowledge and level of teaching.
7 Days Ago
GTR Academy is best
If you are aspiring to build your career in SAP consulting, GTR Academy is the best platform. I like to thank GTR Academy and GTR Academy especially for the consistent guidance and motivation. I recommend you GTR Academy 100% to get trained and enhance your knowledge on different SAP modules.
10 Days Ago
Best Training Academy
GTR Academy is platform which not only gives us a knowledge but also provide a chance to develop skills & show case our talent. This platform is helping to many job aspirants like me. Special thanks to GTR Academy for always supporting.This was possible only through GTR Academy continuous support and guidance.
10 Days Ago
Experienced trainers to guide
I've started preparing in SAP in Feb 2021, I posted a document on LinkedIn to present my skill and fortunately GTR Academy saw my post and suggest me take it as challenge for 21 days and present your skills.
and after completion of 21 days I started getting to many calls and got offer from top 3 MNC's and finally choose NTT Data.
10 Days Ago
Python
Classroom / Live Online
₹49,999 + GST
- Python classes with unlimited mocks, a comprehensive question bank, and personalized doubt solving.
Python
Recorded 6 Months Access
₹28999 + GST
- Python classes with unlimited mocks, a comprehensive question bank, and personalized doubt solving.
Welcome to GTR Academy, your ultimate destination for top-notch online training and education. Since 2021, we have empowered 10,000+ students and facilitated 9200 placements, helping you step up, learn today, and lead tomorrow!
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| Starting Live Classes Batch | Date | Batch Timing | Weekend Batches |
|---|---|---|---|
| SAP MM SAP SD SAP ABAP SAP FICO |
3rd May | 8:00 PM - 9:00 PM 9:00 PM - 10:00 PM |
2:00 PM - 5:00 PM |
| Data Science & AI | 3rd May | 7:00 PM - 8:15 PM | 10:00 AM - 12:00 PM (from 20th April) |
| Power BI | 21st April | 9:00 PM - 10:00 PM |
