Advanced Algorithmics and Graph Theory with Python Training

Live Online & Classroom Enterprise Training

This advanced-level course provides a deep dive into algorithmic design and graph theory concepts using Python. It focuses on solving complex computational problems efficiently by applying advanced algorithms, graph models, and optimization techniques relevant to real-world applications.

Looking for a private batch ?

REQUEST A CALLBACK

Enterprise Reporting
Lifetime Access
CloudLabs
24x7 Support
Real-time code analysis and feedback

What is Advanced Algorithmics and Graph Theory with Python Training about?

The course explores advanced algorithmic strategies and graph theory foundations essential for high-performance computing and problem-solving. Learners will implement sophisticated algorithms in Python to analyze, optimize, and solve large-scale problems in areas such as networks, data science, and software engineering.

What are the objectives of Advanced Algorithmics and Graph Theory with Python Training ?

Understand advanced algorithm design and analysis techniques
Apply graph theory concepts to real-world problems
Implement efficient algorithms using Python
Analyze time and space complexity of algorithms
Solve complex optimization and network-based problems

Who is Advanced Algorithmics and Graph Theory with Python Training for?

Software engineers and developers
Data scientists and analysts
Computer science students and graduates
Backend and system architects
Professionals preparing for technical interviews or research

What are the prerequisites for Advanced Algorithmics and Graph Theory with Python Training?

Prerequisites:

Strong understanding of Python programming
Basic knowledge of data structures
Familiarity with basic algorithms
Understanding of discrete mathematics fundamentals
Prior exposure to graphs and recursion

Learning Path:

Python programming for algorithms
Core data structures and complexity analysis
Intermediate algorithms and problem-solving
Graph theory and network algorithms
Advanced algorithmic optimization techniques

Related Courses:

Data Structures and Algorithms with Python
Discrete Mathematics for Computer Science
Competitive Programming Fundamentals
Advanced Python Programming

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1: Fundamentals of Graph Theory, Problem Solving & Programming Practices

Graph concepts, terminology, and representations

Algorithmic problem-solving approaches

Structured and modular programming

Code optimization and readability

Testing and debugging best practices

Module 2: Graph Traversal, Routing & Queuing Structures

Breadth-First Search (BFS) and Depth-First Search (DFS)

Graph-based routing concepts

Queue and priority queue usage

Network and process scheduling models

Practical traversal applications

Module 3: Shortest Paths, Min-Heaps & Algorithmic Complexity

Shortest path problem formulation

Dijkstra and Bellman-Ford algorithms

Min-heap operations and priority queues

Time and space complexity analysis

Performance comparison of algorithms

Module 4: NP-Completeness, Traveling Salesman Problem & Backtracking

P, NP, and NP-Complete problem classes

NP-Complete problem identification

Traveling Salesman Problem overview

Backtracking techniques

Computational limitations and challenges

Module 5: Heuristics, Greedy Approaches & Accuracy/Complexity Tradeoff

Heuristic problem-solving strategies

Greedy algorithm principles

Approximation techniques

Accuracy vs efficiency considerations

Real-world optimization scenarios

Module 6: Combinatorial Game Theory & Winning Strategies

Introduction to combinatorial games

Game states and legal moves

Winning and losing positions

Strategy formulation methods

Applications in algorithms and AI

Who is the instructor for this training?

The trainer for this Advanced Algorithmics and Graph Theory with Python Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews

My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!

Shweta Priya

Sony

I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.

Swati Singh

I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.

Nikhil Kohli

Stryker

I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!

Heena Rajan

Mindtree