RKCLs Python Programming Advanced course (Code - RCAPP) is designed for individuals with a solid understanding of basic Python who are ready to deepen their expertise and tackle more complex programming challenges. This course explores advanced Python concepts such as object-oriented programming, decorators, generators, and context managers, as well as delving into topics like concurrency, multithreading, and performance optimization. Participants will also learn to work with popular libraries and frameworks to build sophisticated applications and perform data analysis. Through in-depth projects and real-world scenarios, you'll develop the skills to write efficient, maintainable code and address advanced programming problems. By the end of the course, you'll be well-prepared to leverage Python's full potential in professional and research environments, setting the stage for a successful career in software development or data science.
Skills You'll learn
Under RKCLs Python Programming Advanced course, you will learn following key skills:
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Advanced Data Structures: In-depth use of complex data structures such as linked lists, trees, and graphs.
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Object-Oriented Programming (OOP): Advanced OOP concepts including multiple inheritance, abstract classes, and design patterns.
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Functional Programming: Techniques for functional programming in Python, including higher-order functions, lambda expressions, and decorators.
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Concurrency and Parallelism: Implementing concurrent and parallel programming using threads, multiprocessing, and asynchronous programming.
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Advanced File Handling: Working with different file formats (e.g., JSON, XML), file compression, and data serialization.
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Testing and Debugging: Writing and running unit tests, using debugging tools, and employing best practices for code quality.
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Networking: Building networked applications and understanding network protocols using libraries like socket and requests.
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Performance Optimization: Techniques for optimizing Python code for performance, including profiling and optimizing algorithms.
These advanced topics will enhance your ability to handle complex programming tasks and develop sophisticated applications.
Job Prospects
Completing RKCLs Python Programming Basic course can lead to various job prospects, including key job roles like:
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Senior Python Developer: Design and develop complex applications, manage projects, and lead development teams using advanced Python techniques.
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Data Scientist: Perform in-depth data analysis, build predictive models, and extract insights from large datasets using Python.
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Machine Learning Engineer: Develop and implement machine learning models and algorithms using Python libraries such as TensorFlow and scikit-learn.
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Software Engineer: Build and maintain advanced software systems, including web applications, desktop applications, and APIs.
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Backend Developer: Design and develop backend systems for web applications, focusing on server-side logic and database management.
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Data Engineer: Create and manage data pipelines, integrate data from various sources, and optimize data storage solutions.
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DevOps Engineer: Implement and manage automated deployment processes, continuous integration, and continuous delivery using Python scripts.
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Cybersecurity Analyst: Develop tools and scripts for security testing, threat analysis, and vulnerability assessment using Python.
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Technical Architect: Design and oversee the implementation of complex software systems and solutions, ensuring scalability and performance.
How to Enroll
Course Prerequisites
To ensure successful participation in the course, the following prerequisites are recommended:
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Basic Computer Skills: Proficiency in using computers, including navigating operating systems and managing files.
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Understanding of Programming Concepts: No prior programming experience is needed, but a basic understanding of programming concepts can be helpful.
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Python Fundamentals: Basic knowledge of Python, including syntax and simple programming structures.
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Familiarity with Logic and Problem-Solving: Ability to approach problems logically and break them down into manageable parts.
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Basic Math Skills: Comfort with basic arithmetic and mathematical concepts used in programming.
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RS-CIT Course: It is desirable that the learner should have done the RS-CIT Course (Not Compulsory).
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Educational Qualification: The learner should preferably be a Class 12th Pass student (Not Compulsory).
These prerequisites are designed to ensure that learners have the foundational skills required to fully benefit from the course. Even if you feel you might not meet all the prerequisites perfectly, a willingness to learn and engage with the course material will also go a long way in ensuring your success.
Key Steps for Enrolment
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A learner can search & locate his/her nearest RKCL Training center (IT Gyan Kendra) in Rajasthan by Click Here
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The learner should fill an application form available at the RKCL Training center (IT Gyan Kendra), submit relevant documents & pay the prescribed course fees.
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Once the learner submits his/her details, relevant documents and pays the fees, the RKCL Training center (IT Gyan Kendra) will fill the learner details in the RKCL portal and upload the learner data. Further, the RKCL Training center (IT Gyan Kendra) coordinator will hand over a fee receipt. Learner is expected to verify the online details (personal details, course name, batch/month, fee receipt) as filled in by RKCL Training center (IT Gyan Kendra).
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Once Admission is confirmed on the RKCL portal, the RKCL Training center (IT Gyan Kendra) will assign a mutually suitable training batch & time to the learner. After batch/time allotment, the learner has to physically attend the classes at the IT Gyan Kendra premises. A well-trained & qualified faculty/instructor will teach the course as per schedule and impart both theoretical and practical lab-based knowledge.
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Subsequently, after a few days, the learner also receives a User ID and password from the RKCL Training center (IT Gyan Kendra) to start e-learning through the RKCL LMS portal.
Duration & Fees
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Course Duration: 90 Hours (ideally 3 months i.e. 2 hours daily for 5 days a week)
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Course Fees: Rs 6,000/- only per candidate
Curriculum
| Chapter No. | Chapter Name | Sub Parts |
|---|---|---|
| 1 | All About Python (Basic) | Origin History Scope of python Popularity of python Future of python Use of Python in different emerging technologies of the modern era Achievements of python Mega projects hosted in Python |
| 2 | Python Installation and Environment Setup (Basic) | Different Flavours of python like Ipython, Jpython, Cpython, PYPY etc Development Environment and its Requirements Installation on windows Installation on linux Installation on mac Choosing best IDE for your coding purpose from IDLE, Jupyter, Spyder, PyCharm, vscode, vim |
| 3 | Writing first program in python (Basic) | Using vim and command line creating first hello program in python Using vscode or PyCharm for Integrated Development Environments Using Jupyter Notebook and its features for fast, simple learning process |
| 4 | Syntax of python (Basic) | Python coding Style Indentation Comments in python Snake style coding Keywords in python Built-in functions in python |
| 5 | Data type and Data Structures (Basic) | Numbers Strings List Dictionary Tuples Sets Frozen Sets Type Casting |
| 6 | Advance Containers from collection module (Advanced) | Queues Ordered Dictionary Named Tuple Default Dictionary Counter ChainMap UserDict |
| 7 | Control Statements (Basic) | Flow diagrams If – else Nested if else Operators |
| 8 | Looping in Python (Basic) | For Loop While Loop Break Continue Else with loop |
| 9 | Functions in Python (Basic) | Built-in Functions zip, enumerate, eval, exec, min, max, ord, chr, sorted, reversed, len, sum, power, divmod etc. Defining Custom Functions Function Calling Scope Resolution global, local, nonlocal scope Code Reusability Recursion |
| 10 | Advance Functions in Python (Advanced) | Lambda anonymous function Map function Reduce function Filter function Lazy Evaluation |
| 11 | Closures and Decorators in Python (Advanced) | Memorization using closures Writing extensible functions using Decorators Decorators to implement oops like functionality to functions |
| 12 | OOPS (Advanced) | Encapsulation Abstraction Data hiding Data Security Access Control Inheritance Polymorphism Overriding Operator Overloading Classes Objects Implementing Data Structures using OOPs Message Passing and Share Space in OOPs |
| 13 | Advance OOPS (Advanced) | Name Mangling in OOPs MRO (Method Resolution Order) Meta Classes Slots Properties Class methods Static methods |
| 14 | Implementation of Data Structures in Python (Basic) | Implementing Stack Implementing Queue Implementing Link-List |
| 15 | Generators & Iterators in Python (Advanced) | Memory Optimization Techniques Lazy Evaluation Custom Generators & Decorators Zip like generator objects and their working |
| 16 | Exception Handling (Advanced) | Exceptions and Errors Built in Exceptions Handling Exceptions else keyword with exception finally keyword to define Clean Up Actions Custom Exception using raise keyword assert keyword for assertions Creating Custom Exception Class |
| 17 | File Handling (Advanced) | Type of file formats and their significance File Creation and writing data to files Reading data from a file Overwriting files Dealing with excel sheets, csv files Making data persistent to create real life projects |
| 18 | Data Serialization (Advanced) | Serialization and De-Serialization Serializing python objects using pickle, json and shelve modules Deserializing Object State to read data from byte file or from network Storing Custom Objects to make state machines |
| 19 | Installing Third Party Modules in Python (Basic) | Pip (Python Package Installer) Installing packages and modules using pip pypi (python package index) repository for package lookup Offline installation of a package using pip |
| 20 | Database Connectivity (Advanced) | Concept of Data Base Management Systems Using sqlite3 to store lite data in database like format CURD (Create, Update, Read, Delete) Operation on sql table Connecting python to a MariaDB or MySQL server using pymysql or mysql-client modules Un-Structure Data Base Management systems like MongoDB |
| 21 | Python Installation and Environment Setup (Advanced) | Different Flavours of python like Ipython, Jpython, Cpython, PYPY etc Development Environment and its Requirements Installation on windows Installation on linux Installation on mac Choosing best IDE for your coding purpose from IDLE, Jupyter, Spyder, PyCharm, vscode, vim |
| 22 | Modules and Packages in Python (Advanced) | Module name space If __name__ == “ main ” in Python Defining Custom Modules Creating Packages in Python Testing Packages Importing and using custom packages Adding custom modules to library |
| 23 | Standard Library in Python (Advanced) | OS and Sys Module to interact with Operating System Shutil Module to copy, paste and delete files Subprocess Module to execute commands & their output Zlib for data compression Time & Datetime Module for time management |
| 24 | Graphical User Interface using Tk (Advanced) | GUI basics Widgets like button, label, frame, canvas, radio buttons Check Buttons, dropdown menus, scroll bars Progress Bars, message box, text box, entry widget etc Geometry Managers like place, grid, and pack Dialog box, top level window implementation |
| 25 | Virtual Environment (Advanced) | What is Virtual Environment Difference between Production and Development Environment Package versions and their importance in projects Creating a separate environment for Python Projects Activating Virtual Environment Installing Different Version of packages in different environments requirements.txt file README file |
| 26 | APIs (Advanced) | Application Programming Interfaces Accessing Google place APIs Accessing Facebook Graph API Weather API & Others |
| 27 | Working with Images with Python | Introduction to Images with Python Working with Images with Python |
| 28 | Emails with Python | Introduction to Emails with Python Sending Emails with Python Receiving Emails with Python |
| 29 | Core Python Projects | Simple Calculator: Build a basic calculator application that can perform arithmetic operations To-Do List Application: Develop a simple to-do list manager where users can add, edit, and delete tasks. You can include features like priority levels, due dates, and task categories. Implement functionalities such as saving tasks to a file for persistence. Hangman Game: Create a classic Hangman game where players have to guess a word by suggesting letters within a certain number of attempts. |
Study Material
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Every registered student will get a User ID & Password for accessing the immersive and engaging e-learning content of the course on RKCLs LMS portal Click Here
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Additionally, RKCL Training Center (IT Gyan Kendra) faculty also provides offline study notes.
Pedagogy
We employ a blended learning based pedagogical model for teaching this course, the pedagogy combines online and offline training to provide a comprehensive and flexible learning experience:
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Online Learning:
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Self-Paced Modules: Students access digital content, such as video lectures, reading materials, and quizzes on the RKCL LMS portal, allowing them to learn at their own pace.
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Online Assignments and Assessments: Students complete assignments and tests through RKCL’s online LMS platform, receiving instant feedback and grades.
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Offline Learning:
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In-Person DIY Sessions: Hands-on sessions are conducted in a physical classroom or lab, where students can apply concepts, work on projects, and receive direct guidance from RKCL center instructors. The course makes a learner learn a tool through an output-based approach rather than the usual tool-based approach. Outcome-driven approach is more effective for concept building.
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Group Work and Collaboration: Offline sessions foster teamwork, allowing students to collaborate on group projects and engage in peer learning.
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Mentorship and Support: Face-to-face meetings with instructors and mentors provide personalized support, guidance, and troubleshooting for complex topics.
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Integration of Both:
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Flipped Classroom: Online content is studied beforehand, and offline sessions are used for practical application, problem-solving, and deeper exploration of concepts.
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Continuous Feedback: Regular assessments, both online and offline, help track progress and ensure that students understand and can apply the concepts.
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Flexibility and Accessibility: The blended approach accommodates different learning styles and schedules, making it easier for students to balance their studies with other commitments.
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This model leverages the strengths of both online and offline environments, ensuring a well-rounded and effective learning experience.
Exam
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Mode of Exam: Online
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Exam Portal: RKCL LMS portal
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Exam Venue: RKCL Training Center (Computer Lab)
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Duration of Exam: 60 minutes (1 Hour)
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Total Marks in Exam: 100
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Passing Marks in Exam: 40
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Exam Time Slots: Available for 2 days (Schedules intimated well in advance)
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Result Pattern: Grade based (RKCL awards grade to the candidate as commensurate with the marks secured by them in the course end exam)
Certification
RKCL provides a printed certificate to the learner (via RKCLs Training center) after his/her successful course completion.
A digital copy is also made available at DigiLocker portal Click Here Sample certificate design shared below -
