PYTHON ADVANCED TUTORIAL
A Python Advanced Tutorial delves into complex concepts and features of the Python programming language that go beyond the basics, catering to experienced developers looking to enhance their skills. It typically covers topics such as decorators, generators, context managers, and advanced data structures (like sets and tuples). The tutorial might also explore object-oriented programming principles in greater depth, including inheritance and polymorphism, as well as functional programming concepts like map, filter, and lambda functions. Additionally, it may introduce libraries and frameworks for web development (like Flask or Django), data analysis (like Pandas or NumPy), and asynchronous programming with async and await. Overall, this tutorial aims to empower developers to write more efficient, clean, and scalable code, utilizing Python's powerful features and libraries.
To Download Our Brochure: https://www.justacademy.co/download-brochure-for-free
Message us for more information: +91 9987184296
1 - Deep Dive into Python Data Structures
Explore advanced data structures like sets, heaps, and deques, examining their use cases and performance implications.
2) Object Oriented Programming (OOP) in Depth
Understand concepts like inheritance, polymorphism, encapsulation, and the use of special methods (dunder methods) to create classes.
3) Decorators and Context Managers
Learn how decorators can modify the behavior of functions and how context managers can manage resources effectively with the ‘with’ statement.
4) Generators and Iterators
Discover how to create custom iterators and generators, enabling efficient looping over data streams and memory efficient data processing.
5) Concurrency and Parallelism
Examine threading, multiprocessing, and asynchronous programming (asyncio) to handle multiple tasks simultaneously, improving performance in I/O bound and CPU bound applications.
6) Metaclasses and Class Decorators
Study metaclasses to dynamically alter class creation and behavior and how class decorators can add functionality to classes.
7) File Handling and Serialization
Master reading and writing files, working with JSON, CSV, and more complex file formats; learn about serialization using modules like pickle.
8) Unit Testing and Test Driven Development (TDD)
Understand how to write tests using the unittest and pytest frameworks, and adopt TDD to improve code quality and maintainability.
9) Advanced Regular Expressions
Learn the intricacies of regex in Python for complex string matching, searching, and manipulation.
10) Networking and Web Programming
Get acquainted with socket programming and frameworks like Flask or Django for building web applications and APIs.
11) Data Analysis with Pandas and Numpy
Explore data manipulation and analysis techniques using Pandas and NumPy, essential for data science and machine learning workflows.
12) Understanding Python's Memory Management
Delve into Python's memory model, including garbage collection and how to identify and resolve memory leaks.
13) Extending Python with C/C++
Learn how to write Python extensions in C or C++, improving performance for compute intensive tasks.
14) Working with APIs and Web Scraping
Understand how to interact with web APIs and scrape data from web pages using libraries like Requests and BeautifulSoup.
15) Frameworks and Libraries Overview
Gain exposure to popular Python frameworks and libraries such as Flask, Django, TensorFlow, and PyTorch for building web, scientific, and machine learning applications.
16) Best Practices and Code Optimization
Discuss coding standards, style guides (PEP 8), and performance optimization techniques to write clean and efficient code.
17) Python for Data Science and Machine Learning
Overview of libraries like scikit learn, TensorFlow, and Keras, focusing on building and deploying machine learning models.
18) Version Control with Git
Learn how to use Git alongside Python for collaborative development, versioning code, and managing project lifecycles.
This advanced Python tutorial program provides students with the skills and knowledge required to excel in Python programming, preparing them for real world applications and development environments. Each topic can include hands on exercises, projects, and assessments to ensure practical understanding and competency.
Browse our course links : https://www.justacademy.co/all-courses
To Join our FREE DEMO Session: Click Here
Contact Us for more info:
I am learning flutter from JustAcademy, They provide very much great environment where people gather and work simultaneously. totally project based training institute.
Awesome Experience. I am a Front-end Web Designer working at Star India for 3 years now. I applied for Full-stack development and my experience has been phenomenal & they really do help with placements exceptionally. Thank you Roshan sir so much.
Flutter app monitoring with Prometheus and Grafana delivers real-time observability by instrumenting the app (via OpenTelemetry or lightweight exporters) to expose metrics that Prometheus scrapes and stores as time-series data. Grafana visualizes those metrics in customizable dashboards and triggers alerts, letting teams track CPU/memory, frame-render times, network latency, error rates and user-impacting regressions. This stack helps quickly detect performance problems, diagnose root causes, and continuously improve app stability and user experience.
Flutter CI with Codemagic is a cloud-first continuous integration and delivery solution that automates building, testing and releasing Flutter apps across iOS, Android and web using configurable workflows (codemagic.yaml), hosted macOS/Linux runners, dependency caching and parallelization. It integrates with GitHub/GitLab/Bitbucket, manages code signing and store publishing, runs unit/widget/integration tests, and generates reproducible artifacts so teams catch regressions early and ship reliably. For learners and professionals working on JustAcademy real-time projects, Codemagic removes the overhead of maintaining CI infrastructure, speeds iteration, and provides a repeatable pipeline for demonstrating and delivering polished app releases.
Using Flutter's Hot UI (hot reload and hot restart) lets developers inject code changes into a running app and see updated layouts, styles and behaviours instantly without losing app state, making it ideal for rapid prototyping. This real-time feedback loop accelerates iteration on widgets, animations and responsive designs, improves collaboration between designers and engineers, and dramatically shortens the path from idea to working MVP.
In 2025, pairing Flutter with Supabase vs Firebase means choosing between an open‑source, Postgres‑first backend and a mature Google serverless platform: Supabase gives Flutter apps SQL‑centric workflows, real‑time subscriptions, row‑level security and lower vendor lock‑in with predictable costs and direct SQL access, while Firebase offers Firestore, Auth, Functions, Analytics, polished SDKs, global scaling and turnkey managed features (offline sync, analytics, A/B testing). Both speed cross‑platform development and real‑time experiences; pick Supabase for relational control and openness, or Firebase for convenience and a broader managed ecosystem.
In 2025, Flutter and NativeScript are both mature cross-platform frameworks with different strengths: Flutter (Dart) compiles to native code and provides a rich, cohesive widget-driven UI, excellent performance, and consistent look across mobile, web and desktop, making it ideal for visually complex apps and teams that want a single expressive UI layer; NativeScript (TypeScript/JavaScript) maps directly to native UI components and gives seamless access to platform APIs, appealing to teams with strong JS/TS skills who need native look-and-feel and tight platform integration—choose Flutter for unified UI control and performance, NativeScript for native parity and easier reuse of web/JS expertise.
Flutter CI/CD with GitHub Actions is a complete tutorial-style guide that shows how to automate building, testing, signing, and deploying Flutter apps using GitHub’s workflow runner; it covers creating YAML workflows to run platform-specific builds (Android/iOS), caching dependencies, running unit/widget/integration tests, managing secrets and code signing, generating artifacts, and releasing to stores or distribution channels. By following the tutorial, developers and JustAcademy learners can enforce consistent quality, catch regressions early, speed up delivery of real-time projects, and adopt industry-standard DevOps practices that make app releases reproducible and reliable.
AI-generated UI in Flutter uses machine learning to convert design files or natural-language prompts into responsive Dart widgets, automating layout, styling, accessibility and cross-platform tweaks so prototypes and production-ready screens can be produced far faster with fewer manual edits; this streamlines collaboration between designers and developers, lets teams focus on business logic and performance, and—as models and tooling improve—will become a core part of development workflows, accelerating app delivery and hands-on learning for learners and professionals at JustAcademy.
Optimizing network calls in Flutter with Dio means using Dio’s rich HTTP client features—centralized configuration and interceptors for headers, auth, logging and error handling; request cancellation, timeouts and concurrency control; retry strategies (exponential backoff); and response caching/compression—to reduce latency, save bandwidth and improve reliability. By encapsulating API logic in a configured Dio instance, applying retries and backoff, caching frequent responses, and handling errors consistently, apps become faster, more resilient and easier to maintain—especially important for real-time project work and production-ready certifications like those at JustAcademy.
JustAcademy’s "Deploy Flutter to Firebase: A Step-by-Step Tutorial" is a concise guide that walks you through preparing a Flutter app, configuring Firebase services (Authentication, Firestore, Hosting), and using the Firebase CLI to build and deploy your app—covering both web hosting and integration for Android/iOS where relevant. It explains creating a Firebase project, adding platform-specific Firebase SDKs, adjusting app settings, running production builds, initializing Firebase Hosting, and performing the final deploy, with tips for testing and automating releases via CI/CD. By following the tutorial, developers get a practical, end-to-end workflow to ship scalable, real-time Flutter apps quickly and reliably.
Flutter Desktop keyboard shortcuts let you define and handle platform-consistent key bindings (like Ctrl/Cmd combinations) to trigger app commands without a mouse. Using Flutter’s Shortcuts, Actions, and Intents APIs (or lower-level RawKeyboard events), you map logical key sets to intent objects and implement actions that run when those intents are invoked, while respecting focus and accessibility so shortcuts work predictably across Windows, macOS, and Linux.
