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Full Stack with Scrimba Career Path

The Scrimba Full Stack Career Path serves as a comprehensive resource for aspiring full-stack developers, equipping them with the skills needed to enter the job market. 

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1. The Advanced Python Programming course targets seasoned Python developers aiming to enhance their expertise and grasp complex Python concepts.

  2. Key subjects include advanced data structures, decorators, generators, concurrency, networking, and utilization of well-known Python libraries.

  3. Participants will engage with in-depth material to strengthen their programming skills.

  4. The curriculum is structured to facilitate the development of robust and efficient Python applications.

  5. Upon completion, attendees will be prepared to create scalable solutions in Python.

CERTIFICATION:

  1. Certificate of Completion issued by the training provider.

  2. Acknowledges expertise in advanced Python programming.

  3. Validates advanced skills in Python programming.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. Comprehend and utilize sophisticated Python data structures.

  2. Acquire proficiency in decorators, generators, and context managers for optimized coding.

  3. Engage with Python’s multiprocessing and threading modules for concurrent programming tasks.

  4. Develop networking applications leveraging Python’s standard libraries.

  5. Attain mastery in widely-used Python libraries including NumPy, Pandas, and Matplotlib for practical applications.

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Course Curriculum

Advanced Data Structures
  1. Overview of collections module (deque, defaultdict, Counter, etc.)
  2. Using namedtuples and OrderedDict
  3. Advanced list and dictionary comprehensions
Functional Programming in Python
  1. Lambda functions, map, filter, and reduce
  2. Closures and higher-order functions
  3. Using functools for functional programming
Decorators and Generators
  1. Creating and using decorators for reusable functionality
  2. Implementing and managing generators
  3. Async generators and coroutines
Object-Oriented Programming (OOP) in Depth
  1. Advanced OOP concepts (mixins, metaclasses)
  2. Understanding and implementing abstract classes and interfaces
  3. Operator overloading and custom magic methods
Concurrency and Parallelism
  1. Working with threads using the threading module
  2. Process-based concurrency with multiprocessing
  3. Introduction to asynchronous programming with asyncio
File Handling and Serialization
  1. Advanced file handling techniques
  2. Serialization and deserialization with pickle and json
  3. Working with YAML and XML
Networking with Python
  1. Socket programming basics
  2. Building simple client-server applications
  3. Using libraries like requests for HTTP communication
  1. Data analysis with Pandas and NumPy
  2. Visualization with Matplotlib and Seaborn
  3. Automating tasks with libraries like os, shutil, and subprocess

Training Features

Code Challenges and Hackathons

Solve complex problems and compete in coding challenges.

Expert-Led Tutorials

Gain insights from Python experts with real-world experience.

Advanced Debugging Sessions

Learn to debug and optimize complex Python applications.

Project-Based Learning

Work on projects that reflect real-world scenarios to solidify learning.

Peer Code Reviews

Collaborate with peers to refine code quality and follow best practices.

Certification

A globally recognized certificate upon completing the course.

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