Python Training in Chennai
TROY INFOTECH provides the best Python training in Chennai with Placements. We offer the best Python training in Chennai, based on current industry standards, which helps students secure their dream workplace at multinational companies like TCS, CTS, INFOSYS, WIPRO, IBM, and CAPGEMINI. Troy Infotech is one of the most trusted Python training institutes in Chennai, providing hands-on knowledge and complete assistance with basic Python training in Chennai, as well as advanced Python training in Chennai
60 + Hours
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| PYTHON TRAINING IN CHENNAI
At Troy Infotech, Python is provided by expert professionals, subject matter experts with more than 8 years of real-time Python Project experience. Troy Infotech implements a combination of academic learning and hands-on sessions to provide the student with an ideal exposure that helps transform inexperienced students into full-time professionals who are easily recruited in the industry, and so we could say ourselves the best Python training institute in Chennai.
At the well-equipped Troy Infotech, candidates learn the skills for Python Programming Language Environment, Python Fundamentals, Essentials of Programmed-Oriented Object, Writing Python classes, packages, exception handling, Python I/O operations, Class Object programming, Python Data Analysis, Pandas programming, Python utility or collections framework package, generic, built-in classes, Python training in real-time projects together with Python Placement training.
Python Training Course in Chennai – Why Troy Infotech
The Python training in Chennai is designed according to the latest industry trends and taking into account the content and advanced curriculum of the Python course based on the professional requirements of the student; helping them obtain a Position in multinational companies and achieve their professional goals.
TROY INFOTECH is the No. 1 Python training center in Chennai, with high-tech infrastructure and excellent lab facilities and students have the options to choose from multiple courses in Chennai Location. Troy Infotech in Chennai prepares thousands of applicants for customized Python courses at reasonable prices, taking into account the training and content requirements of each and every student.
The Python course involves “Learning by doing”, using a state-of-the-art infrastructure to perform practical exercises and real-world simulations. This extensive practical experience in Python training ensures that you will absorb the knowledge and skills you will need to apply at work after being placed in an MNC.
There are numerous platforms and flows to build a product or application. When we talk about technologies and programming languages, Python is the chosen platform. It is used in the development of many applications like web development, game development, Machine learning, Artificial Intelligence, Data Science, Data Visualization, Web Scraping, Business Applications, Cad Applications, and more. Core Python or Basic Python Training in Chennai is the key to success.
Python is a free, open-source, cross-platform programming language. It was first released in 1991. Unlike other well-known languages, Python can run on multiple platforms like Windows, macOS, Linux and, is a general-purpose language. It has undergone various changes over the years but remains a popular language. Portability to the Java and the .NET virtual machine is also possible in Python.
Python is significantly popular than the programming languages Java and C++ for the principal reason that it is highly productive. Simple programming syntax, code readability, and the command language (English-like) makes Python easy and efficient. This programming language is extensively used to develop web apps, analyze data, automate operations, and create dependable as well as scalable applications.
Choice of a functioning existing community: Python has several thousand people already hooked to it and prefers python training more every passing day they use it. The reason for this affinity is the ease of usability & understandability. Well, one of the most esteemed high-tech organizations- Google employs the usage of Python on its several platforms and applications. The very reason that Python has been around for several years has contributed to the accumulation of its extensive testimonies, records, and demonstrations that Python is easy, reliable, and efficient. It even helps a developer currently working on this program (finding them in a tight spot) & an online community being just a shout away. Many businesses of various sizes and diverse frameworks prefer Python to other languages.
Business Backing: As stated earlier, Google has been using Python since its early years of introduction. They use Python where its possible and C++ only in sections they must. Python is easy to maintain and deploy. It is a great advantage to businesses that handle multiple decisions at any given time. Google’s first web-crawling spider was initially written in another language but was forced to drop it and use Python because this was relatively easy. Even Facebook uses Python in infrastructure management. Instagram uses Django frameworks. The engineers working on Python find it easy to use so finish and deploy early, sparing them time to focus on other areas adding value to the end-users of the application. Spotify and Amazon (Machine Learning Engine interacting with Hadoop) are a few big players using Python.
Big Data: Python is being used by many businesses & industries to build their everyday system, across various platforms and verticals. Python and Big data are particularly compatible as Python performs well with abundant data, efficient & easy. It is an indirect knock-on effect. As data is the next important resource all the businesses depend on, indirectly a language that can work hand in hand with the data is also most sought after. Python programming requires only a few lines of code writing and hence when a new idea is floated around, it can be written and tested within a short timeframe. This aspect works perfectly well when the comparison of different scenarios arise, involving Big Data. This has been made possible with the introduction of the Anaconda Platform which brought incredible speed into the equation.
Libraries: One of the biggest and most substantial advantage Python offers is the use of numerous libraries. Python’s standard library is robust and grants access to a comprehensive range of benefits. The library is equipped with several modules written in Python that can be readily accessed. It contains resources that one can use to solve the challenges that they encounter in their everyday programming. It is not just the standard library that makes Python an interesting choice for programmers, but the obtainability of thousands of components and modules.
Reliable & Efficient: Every developer that has ever worked with Python will vouch for its reliability and efficiency. Developers can operate and deploy the programs written, delivering the resolution with the intended success, without any performance loss, irrespective of working on any kind of environment and platform. Python is guaranteed to function at its best across several domains including web development, mobile & desktop application, hardware, etc. It offers outstanding user-experience over various platforms and domains, thus not confining you to any single one of it. If you have worked with Python on one domain/platform, you can effortlessly transfer to other positions offering transferable skills.
Accessible: Python is easy to learn, grasp, and master. It is simple and straightforward to use as well. The convenience and practicality of uncomplicated syntax and codes written with an emphasis on natural language, make Python the most accessible and suitable language for finding solutions for several business problems. Further addition the rapid momentum makes codes written in Python to be executed at lightning speed. It is equally suitable for beginners and experienced programmers to utilize the features, equally.
Python for Web Development: Features & Advantages:
- Free & Open Source
- Cross-platform & Object-Oriented Language
- Expressive Language
- Time-saving, easy, simple & clean syntax
- Pre-built Libraries
- Built-in framework for Unit tests
- Interpreted Language
- Possibility of Graphical User Interface
Industries Python is used:
Every business has a website or a web app these days. In many trades, they form the face of the business. To keep up with the changing trends every business develops and maintains its IT division up to date. The availability of precise tools is important and can be the difference between success and failure.
A framework is a code library. This makes web-development more straightforward and quicker, as these include standard models for developing dependable; conscientious, and sustainable web applications. reliable A comprehensive framework already in place means there is a clear-cut structure for application development for the programmers to write their codes on effectively by-passing the trial and error run. It contains patterns and prototypes that developers used for the last 20 years, facing the challenges in their programming. Making use of this allows them to divert their focus and attention to new unexplored horizons and challenges.
Every framework is unique with features suitable for several different developmental demands. This selection depends on the scope and challenges in the project they are working on. The bigger the project and its scope are, the call for a robust framework increases. Full-stack frameworks suit such mega projects. When the application is simplistic a microframework will suffice.
Django: Django is a high-level, free, open-source full-stack framework. It follows MTV pattern- Model-Template-View pattern. Django comprises of a whole lot of essential and significant features for the development of standard applications, and more, instead of providing free-standing libraries.
Django is particularly recognized for the following features it encompasses.
- URL Routing
- Template Engine
- Object-Relational Mapper
Such features make Django remarkably flexible, innovative, quick, and thoroughly versatile. The codes applicable and running on one database can be easily transferred to another, without the loss of efficiency. Django allows various levels of innovation and designing, facilitating working on projects- small and big, effortlessly.
Up-and-coming businesses will utilize newer technologies promising to emerge (Machine Learning) and that, in turn, will make Django the go-to framework for the developers involved in the programming and development.
CubicWeb: CubicWeb is a free-to-use, full-stack framework. It is an open-source semantic, Python-based web framework. It is based on the data model that requires an appropriate definition to model and develop a practical application. It is reliable and matches the power, versatility & adaptability of the Python programming language. It promises the availability of reusable components that satisfies everyday needs. CubicWeb is efficient and is a sustained end-to-end solution for semantic web application development. It streamlines data-related queries with RQL (Relational Query Language) embedding. CubicWeb also makes working on multiple databases possible.
The TurboGears is an open-sourced, data-driven, full-stack web application framework. It is easier to work with and straightforward to maintain as well. The structure of TurboGears is based on several middlewares & libraries making it an ideal framework with the most competent determinants and features from other Python frameworks. Comprehensive data-driven web applications can be designed and developed effortlessly with TurboGears. It brings with it a user-friendly templating engine and a robust yet compliant ORM. It even has reusable snippets that make developers’ tasks extremely relaxed. Some of the notable features of TruboGears are MVC style architecture; multi-database assistance; validation with FormEncode; command line tools; ToscaWidgets, an app library that interprets coordination of frontend configuration and server development; etc.
The Pyramid is another open-source & significant Python-based framework creating a name for itself. With Pyramid, the complexity element is removed and the best outcome is achieved smoothly. It endures and travels (progresses) well with the technological advancements that are so frequent in the tech-business. This is again another framework that operates thoroughly well with both small and big applications. Some noteworthy features of Pyramid are URL generation; Extensible Configuration; Single File Applications; Compliant Authentication & Authorisation; Testing, Support & Data Documentation, and many more.
Web2Py is an open-source, full-stack Python framework. It is packed with a punch in terms of handling tremendous data. As it was developed and proposed as a teaching tool, it lacks the project-level outline files. Web2Ply holds its web-based IDE that incorporates a code compiler, debugger, and one-click deployment. Some of the features of Web2Py are, the requirement of zero installation & configuration; ability to run on multiple web-hosting with adequate support; interpreting varied protocols; data security against injection flaws, cross-site scripting, and other malicious file execution; complete error tracking, logging, and ticketing; backward compatibility that encourages user-focussed progression while maintaining links with earlier versions; etc. An important feature of Web2Py is the ability to issue tickets every time an error appears, making tracking and rectifying efficiently.
Giotto is a full-stack Python framework based on the Model View Controller pattern. Model, View, and Controler components are separated in Giotto which allows web designers, developers, and system administrators to work independently. Giotto enables developers to create applications on top of the web, IRC (Internet Relay Chat) & command line. Some of the features worthy of mentioning are- self-operating (automatic) URL routing; database tenacity with SQLAlchemy; remarkably precise codes; practical CRUD patterns; availability of APIs to support other engines; universal models & views; controllers with multiple plugins, etc.
Micro Frameworks also referred to as the Minimalistic web application framework is unlike a full-stack framework. A microframework is equipped with just the component kit needed for putting together an application.
Flask: Flask is a Python micro web framework. It doesn’t need specific tools or libraries to perform well. Without a database; abstraction layer; form validation; or other common function accessible via libraries, it allows the addition of application features without looking like an add-on and as neat as implemented in Flask itself. In many cases, it is a to-go framework where Django isn’t the choice. Its compact and light frame ensures it is utterly easy to adapt to developers’ requirements. Some of the ingenious and useful features are- it has a built-in development server; a fast debugger; secure cookie support; unified support for unit testing; based on Unicode; ORM plug-in support; HTTP request handling; etc. It is one of the fast-growing Python frameworks with an average of two updates per year. It has its flaw- Flash extensions are not supported anymore and require that the user find a working plug-in with comparable features.
Bottle: Bottle is a microframework that is designed to create/implement a single source file for each application developed. It is noteworthy that Bottle was ingeniously developed for building and modeling APIs. The only dependency Bottle has is the requirement of the Python Standard Library. The static features tagging along with Bottle extends to templating, routing, utilities, and primary abstraction over the WSGI design. Some of the features include – built-in HTTP server; adapter support for 3rd party support engines & WSGI/HTTP servers; providing uncomplicated access from data, cookies, data uploads, and other related metadata; plug-in assistance for several databases, etc.
CherryPy is an open-source, object-oriented, popular, minimalistic Python Web framework. It is one of the earliest Python framework introduced in the market. It is designed and built to be extensible with scope for further reform. CherryPy web application is a stand-alone Python application that also has its distinct multi-threaded webserver. It is capable of running on any OS that accommodates Python. This particular feature allows for its extensible performance. CherryPy has an unbinding framework that supports the usage of any type of technology for data access, templating, etc. It can also run on android and has a mighty configuration system.
Dash is an open-source Python-based micro-framework that is used for developing Analytical Web Applications. This is a perfect Python framework for Data Scientists that are new or not well-versed and inept with the techniques of web development. Applications composed with Dash are web servers that run Flask and communicate with JSON packets through HTTP requests. Dash applications are presented in the web browser, with feasibility to be deployed to servers. This makes Dash a cross-platform and mobile-ready framework. Some of the features of Dash that makes it stand out are- Outstanding level of Customisation; Applications developed on Dash need negligible boilerplate code to develop results/programs; it allows plug-ins; an easy and unsophisticated interface for tackling UI controls, as well as dropdowns, charts, graphs & sliders; URL routing and integration of LDAP (Dash Deployment server); Error Handling via Dash Deployment Server, etc. Dash developers can access the rudimentary and essential Flask instance and its whole configurable attributes. To augment the capabilities of Dash applications, developers can use the Flash Plugins.
Falcon is a microframework intended to quickly build web APIs. Falcon doesn’t depend on other frameworks or plugins. It offers the freedom of clean designing and handles requests effortlessly. Falcon is employed in their business building endeavors by well-established names across industries. Some of the features of Falcon are- expansible, super- optimized codebase; feasibility to process DRY requests via middleware components; colloquial HTTP errors responses; availability of a comprehensive test suite, facilitating 100% code coverage; REST-influenced resource classes; candid & upfront exception handling; the possibility of unit testing through WSGI helpers; it offers its developers the power to choose and take decisions on customizing implementations. Falcon also has comprehensive documentation tools.
The Hug is a microframework that offers Python developers to design and develop an API and reuse it, should the need arise, again and again. Hug extends the advantage of simplified API development by offering several interfaces. This feature makes Hug the fastest framework in Python 3. Irrespective of the platform the developers work on, Hug proffers a promise to complete the application development promptly and efficiently. The performance of Hug is optimized as it consumes resources only when needed and utilizes Cython for compilation. Some of the features of Hug are- it supports automatic documentation; features Annotation-powered validation; assurance of in-built version management; write once, use anywhere; Cython compliance. Simplicity is its most significant advantage as it includes as little integration as possible, prevailing functional, and offering the best attainable performance which can also be used as a Python library.
Growler is an asynchronous framework influenced by the NodeJS and the Express/Connect frameworks. The requests and commands in Growler are dealt with by passing through middleware technology. Its ability to quickly and effortlessly implement elaborate web applications has elevated this framework as the top choice for many developers. Some notable features of Growler are- easily perceivable program flow; open-source package support; codes that van be reused; compressing of applications into single executable files, etc.
Sanic is a web framework developed on uvloop and designed expressly for quick HTTP responses through synchronous request handling. It is an open-source framework. Sanic can perform an immense number (33342) of requests per second with a single process and 100 connections. Some of the features of Sanic are- it permits reading and writing of cookies; supports plugins; diverse logging (access log & Error log); view options based on Class; assistance for blueprints during in-app routing; amendable configuration object.
Tornado is a non-blocking web server & an asynchronous networking library. It is an open-source web framework. The Tornado was custom-built to handle asynchronous processes, particularly. Tornado comes equipped with an in-built HTTP server that allows it to support the applications. It has the potential to respond to 10000+ commands and solves issues efficiently, using a non-blocking I/O. This is an excellent choice to develop applications requiring high performance coupled with parallel usage. Some of the features worth mentioning here are- non-blocking HTTP client; instantaneous & parallel services; transcending performance; impeccable standing on quality and results; web-templating; availability of support for user-authentication; assistance for third-party authorization & authentication; interpretation and localization support.
Python for IoT (Internet of Things)
Internet of Things simply implies “A network of Internet-connected objects being able to connect, communicate and exchange data”. In layman’s words, “things” that can sense and collect data, send it to the other “things” on the internet.
Industries that employ wireless sensor networks, cyber-physical systems, big data, data analytics & machine learning are some of the few technological fronts that are supported through Python. A strong and scalable language like python adheres to the criteria thus supporting these domains.
IoT doesn’t mean only sophisticated, ultra-powerful, expensive, hard to built devices. Any device that can connect to the internet, wired or wireless, and is linked & integrated with the latest technology such as sensors; software; a few in-built automation techniques and mechanisms like push buttons, controllers, etc- is IoT.
Advantages of Python in IoT:
- Popular for a long time
- Portable, expandable & embeddable
- Suitable to manage & organize critical & complex data
- Easy to learn, format & compile
- Easily read because of its clean syntax
- Go-to technology- scientific computing
- Possesses tools required for IT advancement process
- Raspberry Pi uses Python
Python for Machine Learning:
The latest rage to storm the software development alliance is Machine Learning! The steep rise in Machine learning in chennai popularity is because of its endless possibilities. It crosses the boundary of what IT technically means. The ideology that computers/machines can learn and not just run by the codes written is purely exciting and opens doors to multiple streams of industries and vocations.
Advantages of Python in Machine Learning (ML):
- Efficient and precise syntax. This feature empowers the developers to develop & build websites swiftly. Less coding is an advantage that saves time and enables the creation of numerous prototypes that directly contributes to simultaneous testing, arriving at the solution in record time, saving cost for the business as well.
- Ability to integrate & blend with other programming languages like C, C++, or Java. It is easy to blend Python-based stack with a data scientist’s efforts and derivations, allowing exemplary efficiency into production.
- Python is easy to learn and simple to use even when writing extraordinarily difficult programs. It is versatile and is equally easy to achieve simple and superior solutions.
- Once the developers master Python, they have a language that is multi-disciplinary and can be used in various domains like web development; AI; scientific computing; data analysis, etc.
- Python is an open-source application and allows developers to download & access it free and modify as required. It is a great advantage when coupled with the availability of open-source libraries.
Python for start-ups:
Python is a go-to programming language for startups as it checks all the crucial requirements. It is quick, efficient, and of high quality. Establishing a new business is a considerably challenging responsibility that stretches beyond launching the business. It has to consistently support, meet the challenges of the market, and mold the brand to be a successful one. Python training institutes in Chennai for Python meets every such need like an ace.
- Cutting edge
Future of Python:
IoT programming is growing by leaps and bounds and is gaining an edge over traditional desktop programming. Usage and dependency of smartphones for existing and new businesses are alike, and the areas where smart abilities are needed are ever-increasing. As such developers are still favoring Python, the language that brings out the results quickly. Python has a robust and multiple-platform compatible dexterity, which allows you to choose or change careers or diverse to new fields. It carries a beginner as well as it carries an experienced employee to advance their career who choose to learn Python course in Chennai. It is an interesting area to work in and the possibilities are only ever-increasing on the boundaries developers can achieve!
JUNIOR PYTHON DEVELOPER – 1.2L TO 1.8 L
PYTHON DEVELOPER – 1.8L TO 2.4L
SENIOR PYTHON DEVELOPER – 4L TO 6L
SOFTWARE ENGINEER – 2.4L TO 3.6L
SENIOR SOFTWARE ENGINEER – 3.6L TO 4.5L
PYTHON PROGRAMMER ANALYST – 5L TO 7L
PYTHON DEVELOPER LEAD – 6L TO 8L
Companies recruiting Python Developers – Learn Python Training in Chennai @ Troy Infotech and get placed in one of the MNC’s
- Tech Mahindra
- HCL Technologies
- Computer Science Corporation (CSC)
- GOFRUGAL Technologies Pvt Ltd
- Fabsys Technologies Private Limited
- Newt Global
- Fabhost Web Solution
- Auromine Solutions Private Limited
- Neptune Financial Software
- FinaTel Technologies
- Talent Wagon
- JP Morgan Chase & Co
FREQUENTLY ASKED QUESTIONS
- Software developers
- Web/ UI Developers
- Software Tester
- Freshers who are willing to take Python as their career
- Python is already used by most of the top industries across various business verticals.
- Artificial Intelligence is changing the world, where Python plays an important role to have a bright future & having more job opportunities in MNC’s.
- Hot trending technology with highly paid salary
- Certified Entry-Level Python Programmer (PCEP)
- Certified Associate in Python Programming (PCAP)
- Certified Professional in Python Programming 1(PCPP 1)
- Certified Professional in Python Programming 2(PCPP 2)
Python is the easiest Programming Language and its quite easy to learn, Its syntax is easy and simple to understand.
As Python the Fastest growing language, has a promising future in the software industry