Learn Python Programming – Learn Python programming to advance your career in system programming and application development.
Python programming language is a high-level, general-purpose programming language. Its design philosophy emphasises code readability, as evidenced by its extensive use of whitespace. Its language elements and object-oriented approach are intended to assist programmers in writing clear, logical code for both small and large-scale projects.
From concept to visualisation to execution, this course covers it all. Discover the benefits of efficiency, mobility, and compatibility.
This module is part of the PG Diploma in Embedded Systems Design & Development
Click to Download Free: Python programming interview questions
Course Name: “Python Crash Course”
Duration – 10 Days
No. Of hours per day – 4 hours
Total No of hours – 40
Pre- and post-assessment – YES
Project – YES
Course completion certificate – YES
Pre-Requisite – Basic understanding of Computer Programming terminologies
Python programming is an indispensable skill for programmers, researchers, and tech enthusiasts in today’s fast-paced, data-driven world. Developed by Guido van Rossum in 1991, Python has become one of the most popular and influential programming languages. Its simplicity, readability, and versatility make it the go-to choice for a wide variety of applications.
Python programming emphasizes code readability by using significant indentation, making it easy for beginners to learn and understand code written by others. It is an interpreted, high-level, and general-purpose language that supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
Python’s capability to work on complex projects stems from its rich standard library, compatibility with diverse systems, and robust frameworks. Some common applications of Python programming include web development, data analysis, scientific computing, and machine learning. It is widely used in various industries, such as artificial intelligence, big data, and other data-driven disciplines.
The Python programming community is vibrant and steadily growing, offering countless resources for learning and improvement. This captivating language bridges simplicity, power, flexibility, and readability, forming an essential tool in every developer’s toolbox.
Whether you’re a novice in the world of programming or a seasoned coder looking to add another language to your skillset, Python programming unravels limitless potential for software development and innovation.
Here are some of the key takeaways from this Python course:
Python Basics: This includes learning about variables, expressions, statements, and functions.
Object-oriented programming with Python: It is one of the concepts of advanced python which allows you to create complex and reusable code.
Libraries and modules: These are pre-written codes that can be used to extend the functionality of Python.
Testing and debugging: These are essential skills for any programmer, and they are particularly important in Python.
Applications of Python: You will be learning about how Python can be used for web development, data science, machine learning, and other applications.
Overall, This Python training course helps you to gain the skills you need to be a successful Python programmer. It can also help you develop your problem-solving, critical thinking, and communication skills. As said by the students ours is the best python institute in Bangalore.
| 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 |
Python has a lot of benefits in addition to its general benefits, which include:
Data science and machine learning – Python language is a popular choice for data science and machine learning applications, due to its powerful libraries and easy-to-use syntax.
Web development – Python is very helpful for web development, due to its frameworks and libraries that make it easy to create complex web applications.
System administration – Python is a popular choice for system administration tasks, due to its scripting capabilities and ability to interact with operating systems.
Game development – Python is a great choice for game development, due to its simple syntax and easy-to-use libraries and frameworks.
There are different career opportunities available for Python developers. Some of the most common career opportunities in Python include:
Software Engineer – Software Engineers are responsible for designing, developing, and testing software programs. They use a variety of programming languages, including Python, to create software that meets the needs of businesses and users.
Data Scientist – Data scientists use Python to analyze large datasets and extract insights. They apply these insights to assist organizations in making better decisions.
Machine Learning Engineer – Machine learning engineers create and deploy machine learning models using Python. These models are used to automate and forecast tasks.
Web Developer – Web developers use Python to create and maintain websites. They use Python frameworks and libraries to build dynamic and interactive websites.
DevOps Engineer – DevOps engineers use Python to automate tasks and improve the efficiency of software development and deployment processes.
One can also become a Python tester who will be testing Python code using various testing frameworks, tools, and libraries available in the Python ecosystem.
Python is widely used in various domains and has numerous applications. Below are some of the applications of Python:
Desktop Application Development: Python can be used to build desktop applications with the help of frameworks like PyQt and Tkinter. These frameworks provide graphical user interface (GUI) components and tools for creating cross-platform desktop applications.
Automation: Python is a popular choice for automation tasks, due to its scripting capabilities and ability to interact with other applications. Some popular Python libraries for automation include Selenium, BeautifulSoup, and Requests.
Scientific Computing: Python is used for scientific computing as well as for numerical simulations. Libraries like NumPy, SciPy, and matplotlib provide tools for numerical computations, optimization, solving differential equations, and data visualization.
Scripting: Python is often used for scripting tasks. It’s simple syntax and rich set of libraries make it a preferred choice for tasks like file handling, web scraping, and system administration.
Game Development: Python can be used for game development, both for building standalone games or scripting game engines. Libraries like Pygame provide tools and resources for creating 2D games.
Internet of Things (IoT): Python is commonly used in IoT (Internet of Things) applications for its simplicity and versatility. It can be used to develop software for IoT devices, interact with sensors and actuators, and process data from IoT systems.
Data Science: Python has gained significant traction in the data science industry. Many organizations and companies prefer Python as the primary programming language for data science due to its simplicity, versatility, and extensive library ecosystem. Learning Python equips data scientists with a skill set that aligns with industry standards and increases employability.
Python’s versatility and compatibility allow seamless integration with other tools and languages commonly used in data science. For example, Python can interact with SQL databases, Apache Spark for big data processing, and tools like Tableau for visual analytics. It also provides APIs to connect with R, a popular language for statistical analysis, allowing users to leverage both Python and R functionalities.
If you are starting to learn python, here are some steps you can follow to get started:
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:
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 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.
