Python Crash Course in Bangalore

Learn Python Programming for Real-World Applications

The Python Crash Course at IIES has been carefully designed to help students and professionals gain in-demand coding skills. This program is ideal for individuals who wish to build a strong foundation in Python for system programming, data analysis, and embedded systems development.

Python is one of the most powerful and versatile programming languages used across industries. Its simplicity, readability, and flexibility make it an ideal choice for application development, machine learning, and automation. Whether you’re pursuing an embedded systems course or enhancing your coding expertise, mastering Python is essential in today’s tech-driven world.

This module is part of the PG Diploma in Embedded Systems Design & Development

Python Programming

Crash Course - Details

Course Name: Python Crash Course
Duration: 10 Days
Hours per day: 4 Hours
Total Hours: 40
Pre- & Post-Assessment: Yes
Project: Yes
Certification: Yes
Pre-Requisite: Basic understanding of computer programming

This course offers a comprehensive learning experience covering both the fundamentals and advanced aspects of Python programming. From syntax basics to object-oriented programming and libraries, each topic is structured to help learners apply concepts in real-time projects.

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    About - Python Crash Course

    Python programming has become an indispensable skill in technology-driven domains like AI, IoT, data science, and embedded systems. At IIES, our curriculum focuses on industry-relevant skills that prepare students for technical and software development roles.

    Unlike basic tutorials, this Python crash course blends hands-on practice with theoretical understanding, ensuring learners can build and deploy Python-based applications confidently.

    Students who have completed this training have also advanced to our embedded course in Bangalore, where Python is used to automate and integrate hardware systems. This alignment makes IIES one of the best embedded course providers in Bangalore.

    Takeaway – Python Crash Course

    After completing this course, students will be able to:

    • Understand Python basics – including syntax, variables, loops, and functions.

    • Write object-oriented programs that enhance reusability and modularity.

    • Use Python libraries and modules like NumPy, Pandas, and Matplotlib.

    • Perform testing and debugging efficiently for reliable applications.

    • Apply Python in real-world projects such as web development, data science, and automation.

    With these skills, learners gain the confidence to solve complex programming problems and pursue advanced specialisations in embedded systems programming and AI-driven development.

    Course Outline - Python Crash Course

    What is python Pass Command line
    Features of python Strings Class and Object
    Applications of python Lists Constructors
    Installation of python Tuples Inheritance
    First Python program List vs Tuples Multi-Threading
    Variables Python Sets Encapsulation
    Data types Dictionaries Polymorphism
    Keywords Functions Regular Expressions
    Type Casting Lambda functions
    Operators Python files
    Comments File Handling
    If else Map, Filter, Reduce
    Python Loops Modules
    Break Generators
    Continue Decorators

    Benefits of Learning Python

    Python offers countless benefits that make it an essential skill for aspiring programmers and engineers:

    • Data Science & Machine Learning: Python’s libraries simplify complex computations and modeling.

    • Web Development: Frameworks like Django and Flask support rapid, scalable web app development.

    • System Administration: Python scripts automate routine system tasks efficiently.

    • Game Development: Python’s frameworks make game design simpler and faster.

    • Embedded Systems: Python is increasingly being used in microcontroller programming and IoT solutions.

    By enrolling in this Python crash course in Bangalore, you’ll gain a competitive edge in multiple technology domains.

    Career Opportunities After Learning Python

    Python developers are in high demand across various industries. After completing this course, you can explore job roles such as:

    • Software Engineer: Design, develop, and maintain scalable software systems.

    • Data Scientist: Analyze large datasets and extract actionable insights.

    • Machine Learning Engineer: Build predictive models and automate business processes.

    • Web Developer: Create responsive, interactive web applications using Python frameworks.

    • DevOps Engineer: Automate deployment pipelines and manage infrastructure efficiently.

    In addition, professionals skilled in Python are well-prepared to advance into embedded systems and IoT careers, where coding efficiency and integration matter the most.

    Applications of Python

    Python’s flexibility allows it to be applied across multiple domains, such as:

    • Automation: Streamlining repetitive tasks using tools like Selenium and BeautifulSoup.

    • Scientific Computing: Using libraries like SciPy and NumPy for complex mathematical modeling.

    • Data Visualization: Creating detailed charts and dashboards with Matplotlib and Seaborn.

    • IoT Development: Programming devices and sensors for real-time communication.

    • Game Design: Building interactive games using frameworks such as Pygame.

    Python’s ecosystem is constantly expanding, and its adaptability makes it a preferred choice for students pursuing embedded systems courses or careers in next-gen technologies.

    Why Choose IIES

    IIES is known for providing industry-oriented courses that blend theory with practical exposure. Our instructors are experienced professionals who guide students through real-world challenges. With project-based learning, certification, and personalized mentorship, IIES has earned a reputation as one of the best embedded and Python training institutes in Bangalore.

    Enroll now in the Python Crash Course to boost your technical expertise, explore new career paths, and stay ahead in the world of programming and embedded systems.

    FAQ - Python Crash course

    If  you are starting to learn python, here are some steps you can follow to get started:

     

    • Set Clear Goals
    • Choose Good Learning Resources
    • Start with Basics
    • Actively code and practice
    • Join Online Communities
    • Explore open-source projects
    • Be Consistent and Dedicate regular time to python

    Learning Python is an ongoing process, and practice is crucial. Embrace the learning journey, be patient with yourself, and celebrate your progress along the way

    Once you have a grasp of the basics, start working on small projects that align with your interests. It could be building a simple web application, automating a task, or analyzing a dataset. Projects give you hands-on experience and help you apply what you’ve learned in a practical way. Chatbot, Image Recognition and Recommendation systems are few of the examples in advanced python projects.

    Python is popular because:

    • Python Programming Language is easy to read and learn. It doesn’t have complex syntaxes like other high-level languages such as C or C++. Here’s a simple python programming example to print: print(“Hello, World”).
    • Python is widely applicable as Engineers, scientists, and mathematicians broadly use it and has a vast library with memory management capabilities.
    • The Python community provides rapid and practical support to users as well as the fast adaptation of code.
    • Python coding has libraries like Cython and Jython, which allow integration with other languages like C, C++, and Java to enable cross-platform development.

    The future scope of Python is very bright and also the demand for Python developers continues to grow, the salary for Python developers is also expected to increase. It is a great language to learn, and it will open up a lot of opportunities for you in the future. So, what are you waiting for? Join us and get the best python training in Bangalore and also IIES is not just a python training institute it focuses on c, c++ and embedded systems.

    Python for beginners is considered as an excellent programming language due to the following reasons:

    • Python has a clean and readable syntax that closely resembles natural language.
    • Python’s design philosophy focuses on simplicity and reducing the complexity of programming tasks.
    • Python has a vast and active community of developers who are ready to help beginners.

    Python has an extensive standard library and a vast ecosystem of third-party libraries and frameworks. These libraries provide pre-built functions and modules for various tasks, such as web development, data analysis, and machine learning. Beginners can leverage these libraries to build complex applications without starting from scratch.

    Because, Python is a simple language with rich library that can be extendable and does not require as much effort in terms of coding when compared to other programming languages. Python is used in machine learning for software computing, NLP programming and also used as web scripting or in Ethical hacking.

    Python is a versatile language used in various domains, including web development, data science, machine learning, scientific computing, automation, and more. Beginners can explore different areas of interest and find Python applicable to their desired projects. Python’s versatility allows beginners to transition smoothly from one domain to another.

     

    Python is available on multiple platforms, including Windows, macOS, and various Linux distributions. This cross-platform compatibility enables beginners to work on different operating systems without significant barriers or limitations.

    Python is considered essential in data science for several reasons:
    i. Popular Machine Learning and Deep Learning Frameworks are written in python.
    ii. Python offers several libraries for data visualization, including Matplotlib, Seaborn, and Plotly.
    iii. Python’s versatility and compatibility allow seamless integration with other tools and languages commonly used in data science

    Python is a high-level, interpreted programming language that emphasizes code readability and simplicity. Some of its key features include dynamic typing, automatic memory management, and a large standard library.

    Some of the data types in Python include integers, floating-point numbers, strings, lists, tuples, and dictionaries. They are used to store and manipulate different types of data.

    Lists and tuples are both used to store collections of items in Python, but the main difference is that lists are mutable, while tuples are immutable. This means that you can modify a list after it has been created, but you cannot modify a tuple.

    A Python function is a block of code that performs a specific task. It is defined using the “def” keyword, followed by the function name and any parameters that it takes.

    You can read input from the user in Python using the “input()” function. This function prompts the user to enter a value, which can then be stored in a variable.

    A Python module is a file containing Python code that can be used in other Python programs. Modules are used to organize code and make it easier to reuse and maintain.

    A local variable is a variable that is defined within a function and can only be accessed within that function. A global variable is a variable that is defined outside of any function and can be accessed from anywhere in the program.

    Some of the control structures in Python include if/else statements, loops (for and while), and try/except blocks. They are used to control the flow of execution in a program.

    Object-oriented programming is a programming paradigm that emphasizes the use of objects to represent data and functionality. Python is an object-oriented language, which means that it supports the creation and manipulation of objects.

    Some of the built-in functions in Python include print(), len(), range(), and type(). They are used to perform common tasks, such as printing output, getting the length of an object, generating a sequence of numbers, and getting the type of an object.

    Testimonials

    Joined IIES for Python Crash course. I learned the difference between Python and C. two popular programming languages with different syntax, type, memory management, speed, and applications. The faculty was highly knowledgeable and able to teach us in a simple manner. Suggest IIES for Crash Course for undergraduate students.
    - Rahul Shah
    Applied for the Crash Course on Python and the sessions were interactive. object-oriented concepts, teaching faculty made room for every participant to clear doubts. Highly recommend to students.
    - Ankith Bagadia
    Exception handling and threading concepts were explained very well and the faculty was able to teach the concepts really well. IIES is the best place for doing crash courses.
    - Vipul Rastogi
    The faculty gave more examples which helped me clarify my conceptual knowledge. File handling and regular expressions were also cleared in detail.
    - Darshan H
    IIES has many crash courses, But I opted for Python Programming and it was really knowledgeable and data types concepts that were cleared very well. Overall, it was a wonderful experience with IIES and the best crash course ever done.
    - Anith R

    Contact - Python Crash Course