The “Advanced Python Programming” course is designed for individuals eager to deepen their Python skills and expertise. Throughout the course, learners will explore essential topics such as object-oriented programming, advanced data structures, functional programming, and error handling. Participants will also gain hands-on experience using popular Python libraries like Pandas, NumPy, and Matplotlib for data manipulation and visualization.
Delivered in a flexible online format, this course combines engaging instructional materials with interactive coding exercises, allowing participants to learn at their own pace. Whether you are seeking to advance your career in software development, data science, or any other field where Python is used, this course will provide you with the advanced skills necessary to excel in your programming journey.
Launch your career in programming by acquiring in-demand skills and become job-ready in 30 hours or less!
Highlights
- Enhance Your Skills: Gain invaluable training that prepares you for success.
- Instructor-Led Training: Engage in interactive sessions that include hands-on exercises for practical experience.
- Flexible Online Format: Participate in the course from the comfort of your home or office.
- Accessible Learning Platform: Access course content on any device through our Learning Management System (LMS).
- Flexible Schedule: Enjoy a schedule that accommodates your personal and professional commitments.
- Job Assistance: Benefit from comprehensive support, including resume preparation and mock interviews to help you secure a position in the industry.
Key Learnings
- Develop a deep understanding of advanced Python features, including decorators, context managers, and generators, to write more efficient and effective code.
- Gain expertise in advanced object-oriented programming (OOP) techniques, including inheritance, polymorphism, and design patterns that help in creating scalable software solutions.
- Gain hands-on experience with essential libraries such as Pandas and Matplotlib for data analysis and visualization, enabling you to derive insights from complex data sets.
- Learn to build dynamic web applications using powerful frameworks like Flask and Django, handling everything from routing to templates and database integration.
- Prepare for more advanced topics in Python, such as Data Science and Machine Learning, establishing a pathway for continuous learning and professional growth.”
Pre-requisites
- Essential Python Knowledge: Participants should have a strong foundation in Python programming, including familiarity with syntax, basic data types, control structures, functions, and modules.
- Basic Knowledge of Software Development Concepts: Familiarity with fundamental software development principles and testing practices.
Job roles and career paths
This training will equip you for the following job roles and career paths:
- Senior Python Developer
- Software Developer
- Automation Engineer
- Database Administrator
- DevOps Engineer
- Data Analyst
- Web Developer
Advanced Python
The demand for an Advanced Python course is exceptionally high, driven by the widespread use of Python across various industries and its applications in cutting-edge fields such as data science, machine learning, and web development. As businesses increasingly rely on data-driven decision-making, the need for skilled Python professionals who can analyze data, build complex algorithms, and create scalable applications continues to grow.
Companies are actively seeking candidates who possess advanced Python skills to tackle complex programming challenges, work with large data sets, and develop robust software solutions. This trend is not limited to tech companies; industries such as finance, healthcare, and marketing are also looking for experts in Python to enhance their capabilities.
Overall, the Advanced Python course is not just a training program; it is a crucial step towards achieving professional growth in an increasingly digital and data-driven world.
Certification
After the completion of the course and the exam, you will be awarded the course completion certificate.
Topics of Course
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Refresher on Basic Syntax and Data Types
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Understanding Control Structures and Functions
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Introduction to Modules and Packages
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Working with Lists, Tuples, and Sets
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Understanding Dictionaries and Nested Data Structures
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Immutable Types and Collections (namedtuple, deque, Counter)
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Utilizing the collections Module
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Advanced OOP Concepts (Inheritance, Polymorphism, Encapsulation)
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Design Patterns (Singleton, Factory, Observer)
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Class Methods and Static Methods
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Meta classes and Dynamic Class Creation
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First-Class Functions and Higher-Order Functions
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Lambda Functions and List Comprehensions
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Using Map, Filter, and Reduce
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Generator Functions and Iterators
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Importing modules
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Standard library overview
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Creating and using packages
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Virtual environments
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Understanding Exception Hierarchy
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Creating Custom Exceptions
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Context Managers and the with Statement
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Best Practices for Error Handling
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Reading and Writing Files
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File modes
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Reading files
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Writing files
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Working with CSV files
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Popular Python Libraries
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NumPy for numerical operations
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Pandas for data manipulation
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Matplotlib and Seaborn for data visualization
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Requests for making HTTP requests
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Introduction to Flask
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Building a simple web application with Flask
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Introduction to Django
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Building a simple web application with Django
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SQL basics
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Connecting to a database using Python
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CRUD operations
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Using ORM (Object Relational Mapping) with SQLAlchemy
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Introduction to testing
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Unit testing with unittest
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Test-driven development (TDD)
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