Course Highlights and Why Python Training in Bangalore at FITA Academy?
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Classroom Training
- Get trained by Industry Experts via Classroom Training at any of the FITA Academy branches near you
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Instructor-Led Live Online Training
- Take-up Instructor-led Live Online Training. Get the Recorded Videos of each session.
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Syllabus of Python Course in Bangalore
- What is Python?
- Knowing the history of Python
- Unique features of the Python language
- Differences between Python 2 and Python 3
- Installation of Python and Environmental Setup
- First Python Program
- Python Identifiers
- Python Keywords
- Python Indentation
- Document and Comments Interlude in Python
- Command-line arguments
- Getting to know User Input
- Python Basic Data Types
- What are the variables?
- Introduction
- Lists in Python
- Knowing more about Lists
- Understanding the Iterators
- Generators and Comprehensions
- Lambda Expressions
- Understanding and using the Ranges
- Knowing about the section in Python
- Python Dictionaries
- Understanding more Dictionaries
- Sets
- Python Sets Examples
- Reading Files
- Writing text files
- Appending to Files and Challenge
- Manually writing the binary files
- Writing Binary files with Pickle
- Python user-defined functions
- Python packages and functions
- Calling and Defining the function
- The anonymous Functions
- Statement and Loops in Python
- Python Packages & Modules
- Overview of OOP
- Creating Objects and Classes
- Accessing attributes
- Built-In Class Attributes
- Destroying Objects
- What is Exception?
- Handling the exception
- Try..except..else
- try-finally clause
- The argument of the Exception
- Standard Python Exceptions
- User-Defined Exceptions
- Raising an exceptions
- What is a regular expression?
- Knowing match Function
- Understanding the search Function
- Searching Vs Matching
- Extended Regular Expressions
- Search and Replace function
- Wildcard
- Collections - named tuples, default dicts
- Breakpoints and Debugging
- Using IDEs
- Matching vs searching
- Installation of Django
- Module Settings
- Requests and Responses
- Running the development server
- Introduction to Django Admin Site
- Introduction to Model
- Field Types
- Field customization
- Making queries
- Accessing the related objects
- Django migrations
- Raw SQL and search
- View functions
- URLConfs
- Shortcuts and decorators
- Request and Response objects
- File upload
- Class-based views
- Mixins
- Generating PDF and CSV
- Overview of the template language
- Built-in tags
- Built-in filters
- Humanization
- Custom tags
- Custom filters
- csrf token
- Introduction
- Forms API
- Validating forms
- Built-in fields
- Built-in widgets
- Model form
- Form sets
- Types of vectors
- Internationalization
- Localization
- Localizing UI
- Form inputs
- Model form
- Time zones
- Form sets
- Authentication
- Django built-in authentications
- Customizing authentication
- Password management
- Logging
- Caching
- Sending email
- Syndication feeds (RSS/Atom)
- Pagination
- Serialization
- Message framework
- Sessions
- Site maps
- Signals
- Static file management
- Introduction to bootstrap framework
- Bitly - a URL shortening service similar to bitly.com
- Twitter - Clone of twitter site
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Trainer Profile
- We fervently believe in the blended way of learning.
- Trainers at FITA Academy trains the students with Python concepts with recent frameworks and case studies. This helps the students to have practical exposure to the Python Codes and Scripts.
- Python Trainers at FITA Academy are Industry Experts and they have 12+ years of experience in the Software Development field.
- Python Trainers are Working Professionals from the Programming Community.
- Tutors regularly assess the students and upskill their knowledge with tools that are relevant in the market.
- Tutors at FITA Academy efficiently train the students to use the Python code to create reliable software.
- Trainers support the students in building a Professional Resume and provide the required Interview tips.
Features
Real-Time Experts as Trainers
At FITA Academy, You will Learn from the Experts from industry who are Passionate in sharing their Knowledge with Learners. Get Personally Mentored by the Experts.
LIVE Project
Get an Opportunity to work in Real-time Projects that will give you a Deep Experience. Showcase your Project Experience & Increase your chance of getting Hired!
Certification
Get Certified by FITA Academy. Also, get Equipped to Clear Global Certifications. 72% FITA Academy Students appear for Global Certifications and 100% of them Clear it.
Affordable Fees
At FITA Academy, Course Fee is not only Affordable, but you have the option to pay it in Installments. Quality Training at an Affordable Price is our Motto.
Flexibility
At FITA Academy, you get Ultimate Flexibility. Classroom or Online Training? Early morning or Late evenings? Weekdays or Weekends? Regular Pace or Fast Track? - Pick whatever suits you the Best.
Placement Support
Tie-up & MOU with more than 1500+ Small & Medium Companies to Support you with Opportunities to Kick-Start & Step-up your Career.
Python Certification Course in Bangalore
About Python Certification Course in Bangalore at FITA Academy
About Python Certification Course in Bangalore
Python Course in Bangalore is the professional credentials that state the ability of a person to accomplish the coding tasks that are related to the fundamentals of programming in Python language and the basic concepts and techniques that are used in the Object-Oriented Program, Web Development, and Game Development. Also, having a Python course certificate on your resume creates a positive impact during the interview and the chances of being prioritized are comparatively high.
Python Course in Bangalore at FITA Academy offers training with certification for the beginners and software professionals as well to enhance their knowledge in coding. Training is offered by experienced tutors who have a decade of experience in this field and they will help you to improve your knowledge in programming skills with in-depth knowledge. Python Training In Bangalore also helps you get employed in any company where there is a programming requirement. The job opportunities are increasing day by day due to the growing demand for skilled developers. This certification helps you to be self-reliant and teaches you how to manage projects effectively. It helps you to develop your analytical skills and develops your problem-solving skills. It also develops your critical thinking skills and helps you understand business logic. Finally, It helps you to handle errors gracefully.
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Job Opportunities After Completing Python Training in Bangalore
The demand for skilled Python Programmers is increasing at a high rate due to the increased applicability of the latest technologies such as Data Science, Machine Learning, etc. Top organizations utilize Python in their software development processes due to its cross-platform flexibility. Various Job Roles in Python are listed below.
Python Developer, Software Engineer, Data Analyst,Data Scientist, Big Data Engineer, Business Analyst, Research Analyst, DevOps Engineer, Software Developer, Full Stack Developer, Python Programmers, Machine learning Architect
Python is revolutionizing the IT sector by its adaptability to modern technologies such as Data Science, Big data, Artificial Intelligence and Machine Learning. Job opportunities are expanding across various horizontals and verticals in the IT industry for skilled Python Professionals. Join Python Course in Bangalore at FITA Academy to become a certified Python Programmer.
Candidates interested in learning advanced technologies such as Data Science or Machine Learning can join Data Science Training in Bangalore or Machine Learning Training in Bangalore.
Top Companies hiring Python Developers
Business enterprises are actively adapting Python in their workflow to keep in pace with the growing competition around the globe. Various MNC has already incorporated Python as the prime software development Programming language. A few of the top companies are listed below:
- Mobiweb technologies
- AlgoTech Solutions
- Mindfire Solutions
- Fusion box
- ThinkSys
- Dropbox
- Avanton
- Amazon
- Netflix
- Quora
- Uber
Gaps in the Python Skills in the workforce is a major factor for low employability in Python-based jobs. FITA Academy’s Python Course in Bangalore addresses these lapses by skilling the young minds with industry-relevant skills to make a successful career.
According to recent surveys, the salary of an entry-level Python developer is between Rs. 5-6 Lakhs per annum on an average. With the increase in experience and skill set Profesional Python Programmers can earn above Rs. 12-13 Lakhs per annum.
Roles and Responsibilities of Python Developer
- Python developers are tasked with writing efficient and reusable codes for developing effective software.
- Designing best performing applications with low-latency.
- Developing programs for integrating user-interface elements with the main servers using various Application Programming Interfaces(API).
- Responsible for the effective deployment of Data security and robust cybersecurity features in the software.
- Python Programmers are tasked with ensuring the implementation of various data storage solutions such as Database, SQL, etc.
Candidate interested in learning database querying language like SQL can join SQL Training in Bangalore at FITA Academy.
Key Skills for Professional Python Developers
- Excellent Programming skills and strong fundamentals in the latest Python 3.
- Hands-on experience in popular Django Framework and GitHub.
- Sound knowledge on object-related mappers to link the application to the database swiftly.
- Deep understanding of RESTful APIs to integrate the software with multiple components.
- Strengthened fundamentals in Python Flask Framework for developing back-end elements.
- Front-end development skills with rooted basics on HTML, JavaScript, and CSS.
- Holistic knowledge of Database and Data Management Systems such as MongoDB.
- Management of servers with excellent capability to write Shell scripts.
- Overall knowledge of Machine Learning methods and algorithms.
- Ability to code for various programming paradigms.
Python Course in Bengaluru at FITA Academy enables candidates to imbibe all the industry-relevant Python skills from experienced professional Python Developers. FITA Academy allows students to learn with ease by conducting classes in flexible timings. Candidates interested in HTML, JavaScript, and Oracle can join HTML Training in Bangalore, JavaScript Training in Bangalore and Oracle Training in Bangalore at FITA Academy.
Python Interview Questions
1. Mention the key features of Python?
- Python is an interpreted language, which doesn’t need to be compiled.
- Python is dynamically typed, this means that you don’t need to state the types of variables when you declare them or anything like that
- Python is an object orientated programming allows a definition of classes along with inheritance and composition.
2. Mention the inheritance styles available in Django.
- Abstract Base Classes
- Multi-table Inheritance
- Proxy models
3. List out the built-in type in Python
Immutable built-in types:
- Numbers
- Strings
- Tuples
Mutable built-in types:
- Dictionaries
- List
- Sets
4. What are the benefits of using Python?
- Python consists of an enormous standard library for many Internet platforms such as Email, HTML.
- There is no need for any explicit memory since interpreter allocates memory new variables.
- It is simple to learn.
- It has built-in data types for saving programming time and effort.
5. Explain the significance of the ‘Unicode’ concept?
In computer science, Unicode or Unicode refers to the standard character set that specifies every single letter, number, symbol, etc., to represent all such characters in a particular encoding scheme. A computer normally uses an 8-bit byte to store one character. But computers using Unicode usually require 16 bits (2 bytes) to encode each character. Unicode was designed to provide compatibility between human languages and computing systems. For example, both English and French script may look very different, but they are actually encoded into the same series of 1s and 0s. Another advantage of Unicode is that it allows data exchange among multiple platforms and operating systems across the world. This is especially important for programmers who need to share their programs with users from various cultures.
6. What is PyCharm IDE?
It is a development tool used for writing, debugging, testing Python applications. It supports most popular IDEs like Eclipse with its plugins and JetBrains Rider for MacOS. PyCharm IDE has an inbuilt debugger. It provides syntax highlighting, unit test support, navigation aids, auto-complete feature, refactoring, and quick fixes. Also, from Python Classes In Bangalore know features like interactive console, debuggers, remote debugging, Python documentation viewer, code analyzer, and a variety of useful tools are available.
7. Define Pycharm Key commands:
Pycharm uses Ctrl+Spacebar as a default shortcut key combination that replaces the function keys on your keyboard. From there, choose Edit Shortcut Keys for Code Completion option for editing a new shortcut. Now you can add your own settings for the given command or create your own custom shortcut keys.
8. How does Python differentiate variables from constants?
Python distinguishes two kinds of objects – those that can change value over time and those that do not. Variables are examples of dynamic objects, whereas constants are non-changing. Constants cannot have values assigned to them; instead, they just hold a value while the program runs. You can read more about this on the official python website.
9. What does the python keyword True means when it comes to Boolean values?
True is a boolean type of object representing true, while False represents false. To check whether any expression evaluates to true or false, we either use if statement or switch case block depending on the context.
10. Can we print dictionary contents with indexing? Explain why not?
Yes, we can extract some elements from a dictionary by providing a list of indexes. We must be aware that the order of the elements will be changed. So indexing should always be done cautiously.
11. Why is import statement required before trying to access built-in functions?
Because functions are available only after importing modules. If we try to access any such function without importing it, we would get a compile-time error saying undefined variable or function name at runtime.
12. What are the advantages of declaring variables inside class body?
Declaring variables inside class body helps us to keep track of what’s happening within the module. We also avoid creating many instances of the given class by defining instance variable directly.
13. Difference between global and local variables in python?
Global variables exist everywhere in the entire application space. Local variables exist only during the execution of a method. In other words, local variables are created to meet individual needs.
14. What is difference between strings and lists in Python?
Both string and list can contain characters. The major difference lies in how these objects behave. Strings are immutable data types. On the contrary, lists are mutable data structures. Mutability doesn’t mean that we can modify items once added to the list. Instead, it implies that we can freely append or delete items from a list.
15. Explain how to declare arguments in methods?
This question talks about passing parameters to a function call. Here, the term parameter stands for a named item passed to a function. Parameters are declared using brackets: (parameter_name). Arguably the most important fact to remember is that all function calls require their corresponding parameters to be defined before calling a function. Once called, its parameters become uninitialized until again used. However, we may need to give default values to parameters at times.
16. Is python has any concept of memory management?
Python provides automatic garbage collection features to free up unused resources from the heap. Garbage collector takes care of freeing memory automatically whenever possible. It may happen sometimes due to internal reasons like memory shortage. However, our job is to ensure that no unnecessary resource gets wasted.
17. How do I convert an integer to a float?
This question deals with converting int value to float. There are two ways to make this conversion. The first one uses the built-in function map(), which is very handy when dealing with large integers. Its second argument is the mapping of numbers to new values. The second way involves the str() function, which converts an integer into a string first, then converts it back into float. Both return exact float representation of a number.
18. What is the role of try/except block in the program?
In this Question, we are talking about the scenario where there is a chance of exception occurring in code. When such condition arises, we write a try statement before the problematic line of code which raises an exception. After raising the exception, we wrap the relevant lines in a catch block. Finally, if no exception occurs, we end the try/catch block by enclosing it in finally clause. The whole thing must appear inside a function call.
For more Python Interview Questions and Answers for Freshers, click the link below.
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Python Training in Bangalore Frequently Asked Questions (FAQ)
- The Python Courseware in Bangalore at FITA Academy is designed by industry experts with more than 12+ years of experience in the Software Development field.
- The blended methodology of training makes the students understand Python concepts and apply them easily.
- Comprehensive coverage of Python Course in Bangalore at FITA Academy with 60+ hours of training.
- More than 50,000+ students trust FITA Academy.
- A Nominal fee structure for students and working professionals.
- Batch timings that are flexible for the students and the working professionals as well.
- Professional Python Course in Bangalore at FITA Academy with certification.
- We are proud to state that we have tie-ups with more than 600+ small, medium and large scale companies. Most of the companies have a job opening for the Python Developer and roles related to Software programmers with knowledge in Python.
- We have a dedicated placement portal to support the students.
- FITA Academy supports the students with mock interviews, corporate training, and group discussions and trains them confidentially to take an interview.
- Our Institute was set up in the year 2012 by a group of IT veterans with the moto to provide world-class IT Training. We are actively present in the training sector for more than a decade.
- We have trained more than 50,000+ students including the headcount of working professionals.
- We provide necessary individual attention to our students. The Python Course batch size is minimized for 5 - 6 members per batch. The batch size has been reduced to clear the doubts of the students in complex topics clearly with the trainers.
- FITA Academy provides maximum practical training to students with many Industry related real-time projects and case studies.
- Python is an interpreted language, which doesn’t need to be compiled.
- Python is dynamically typed, this means that you don’t need to state the types of variables when you declare them or anything like that
- Python is an object orientated programmingallows a definition of classes along with inheritance and composition.
- Abstract Base Classes
- Multi-table Inheritance
- Proxy models
Immutable built-in types:
- Numbers
- Strings
- Tuples
- Dictionaries
- List
- Sets
- Python consists of an enormous standard library for many Internet platforms such as Email, HTML.
- There is no need for any explicit memory since interpreter allocates memory new variables.
- It is simple to learn.
- It has built-in data types for saving programming time and effort.
Additional Information
Python is a high-level, object-oriented programming language developed by a Dutch programmer Guido van Rossum and came into existence in 1991, two decades ago. Python allows programmers to code even complex processes with ease and clarity by supporting object-oriented, procedural, and functional programming. Interpreters in Python are compatible with various operating systems such as Windows, Linux, and macOS. Python is developed as a general-purpose programming language with a small core and huge standard libraries to support a wide range of coding requirements.
Python is an open-source programming language managed by the Python Software Foundation, a non-profit organization. The latest release is Python 3.7 with updated syntax features, library modules, data models, standard library, Python features, and documentation translations ( Japanese, French, Korean ).
The Python community is huge and widespread across the globe, helping Python programmers to discuss the challenges and transfer vast knowledge to budding Python Developers. Python is most preferred for its readability, simplicity in coding and its ability to integrate with various other programming languages like C, C++, and Java. Python comprises multiple modules that aid in the reusability of Script with features such as dynamic typing and automatic memory management.
Python can also be called the language of the future due to its immense compatibility with modern technologies like Artificial Intelligence, Big data, Data Science, Machine learning, the Internet of Things(IoT), etc.
FITA Academy provides best-in-class Python Training in Bangalore for aspiring Python Programmers to make an excellent career as a Professional Python programmer. With more than a decade of service in bridging the skill gaps of the workforce, FITA Academy has been instrumental in shaping the future of thousands of students in the right direction. Enroll in Python Course in Bangalore at FITA Academy and enhance your career opportunities.
Additionally, to learn more about the Python Programming language, we compiled the Python Books for Beginners & Advanced Programmers.
Why Python?
- Python is renowned for its standard library that helps in better integration on multiple platforms.
- Python is an open-source programming language with a simple and understandable syntax for ease of coding experience.
- Python is playing a crucial role in Data Analytics, web-development, automation, embedded programming, Robotics, and Big data.
- Python is noted for its best cross-platform performance since Python functions effectively on various Operating systems such as Ubuntu, Linux, Windows, etc.
- Candidates with excellent Python Programming skills are preferred in top companies like Google, Uber, Facebook, PayPal, Instagram, Dropbox, and Netflix.
Eligibility Criteria
Candidates with BCA, BE/ B.Tech degree with a specialization in Computer Science and Information Technology are most preferred by a majority of the organizations. Post Graduate students can also become Python Developers if their skill sets match the business requirements. Candidates who are upskilled through any certification course are most likely to be hired by recruiters. Python Training in Bengaluru at FITA Academy transforms aspiring Python Programmers Into Certified Python Developers by hands-on training in Python.
Prerequisites
There are no such requirements for this course as Python is an open-source language and it can be learned as a first language. Except one needs to have good knowledge of the basics of computer handling.
What you will learn in the Python Course in Bangalore at FITA Academy?
- A basic understanding of the Python language
- Understanding Python Scripts in various platforms.
- Knowing to use and create functions in Python.
- Mastering Core Python and Web Frameworks.
- Learning Python Django and advanced concepts of web development in Python.
- Using PyGame and game development in Python.
- Able to create your Python Programs.
- Gain more knowledge about consoles and strings output in Python.
- Learning about Data Structures lists and Dictionaries.
- Error Handling and Exceptional Handling in Python.
- Knowing various concepts of OOPS and how to use it.
- Learning Class Inheritance that is used in reusability of codes
- Able to create your programs in Python.
- Packaging and Building the Python modules for reuse.
Getting familiar with Python Frameworks
As we all know that Python is an open-source language and it has numerous applications in it. While considering the fact of software implementation one should be aware of the fact that which framework would serve the purpose in the best way. First, let us know what is a Python framework? Frameworks are the collection of packages and modules that helps the developer in writing the Web Application. On using the Python Frameworks the Developer may not worry about the fact of the minute details such as sockets, protocols, and thread management. With the implementation of Python Frameworks, it reduces the work of the Developer.
Using the Python Frameworks helps us with Web Security, URL Routing, Database Section, Interpreting requests, Session storage, Session retrieval, and Input validation and handling. Besides, using frameworks makes it easier for developers to reuse the code for the common HTTP operations. Also, they help in structuring the projects most efficiently for the other developers as well. One of the major reasons to use frameworks is because of its flexibility and extensibility. Frameworks help in structuring the projects so the other developers who have the knowledge of the framework could maintain and easily build applications. By using the Python frameworks in our projects it helps us with the required tools to extend the features to the next level.
Popular Frameworks of Python
Listed below are some of the popular frameworks in Python and its functions,
- Django
- Flask
- Bottle
- CherryPy
- Web2Py
- Turbo Gears
- Sanic
- Pycnic
- Tornado
- Falcon
Django: Django is one of the widely used Python frameworks among the developer’s community. Django is a high-level framework that supports clean and efficient design. This framework primarily functions on the “DRY” principle meaning Don’t Repeat Yourselves. Initially, this framework was developed for the purpose of the Content – Management system but now it is used in different kinds of Web Applications. It is because of its features such as Template Engine, URL Routing, Authentication, ORM, and Database Schema Migrations. Also, the main database of the Django works on MySQL, Oracle, Postgress, and SQLite. Django can also work with various other databases using the third-party libraries. Join Python Course in Bangalore at FITA Academy and learn to use the Django framework and its application proficiently under the guidance of working professionals.
Flask: Flask is a microframework tool, which is also one of the most popular frameworks among the developers and it falls under the BSD license. When the Software holds the BSD license it means that the software has restrictions with the distribution of the software. Also, this framework has built-in server development and unit testing support. This framework is most suitable for small and simple applications. This framework primarily depends on the Werkzeug WSGI toolkit and the Jinja2 template. The key feature of this tool is testing support, faster-debugging environment, dispatching through REST and securing cookies.
Bottle: Bottle is also one of the popular microframeworks that creates a single source application for every file. This framework was developed for building API. The unique feature of this framework is that it permits the developers to work closely with the hardware. Also, this framework has no dependencies other than the Python Standard Library. The key features of the bottle frameworks are as follows Routing, file uploads, cookies, access to form data, headers, templating, and built-in HTTP server.
CherryPy: This is the oldest Python framework that was introduced in the year 2002. CherryPy is the popular open-source framework. This framework supports different web servers like Apache and IIS. Also, this framework follows the minimalistic approach during the web application building. The Web Applications that are developed using CherryPy are standalone Python applications with multi-threaded web servers and OS support. Some of the key features of the CherryPy frameworks are Caching, Encoding, Coverage, Testing, Flexible Plugin System, Capable of running in various platforms, and Authentication.
Web2Py: This a Full-Stack Framework for the developers who are seeking for the scalable full-stack framework. This Open-source framework comes with its web-based IDE, including one-click deployment, editor, and debugging. Web2Py frameworks allow developers to create dynamic web content using the Python program, but Web2Py won’t provide support for Python 3. The key highlights of this framework are that it can follow the MVC pattern, supports internalization, backward compatibility, able to read multiple protocols, and access control. Python Course in Bangalore at FITA Academy widens the knowledge of the students by training efficiently with various frameworks in Python with certification.
TurboGears: This is an open-source full-stack framework that is completely data-driven for the web application framework in Python. This framework permits developers to develop a rapidly driven web app with extensible data. Besides, the powerful ORM the Turbo Gear support the horizontal data partitioning as well. Also, this framework provides a widget system for simplifying the development of AJAX apps. The key feature of the Turbo Gear frameworks are Support SQL Object, Support SQL Alchemy, Multiple Database support, PasteScript templates, FormEncode with validation support, Uses the Pylons as web servers, and MochiKit JavaScript library integration.
Sanic: This is an Asynchronous framework that is built on the top of the UV loop. Sanic is an open-source framework that is basically developed for the purpose of providing faster HTTP responses through asynchronous request handling. This framework supports the asynchronous request handlers, thus making it compatible with the Python 3.5 await functions. This eventually resulted in enhanced speed and offering the developers with non-blocking capabilities. To determine its ability a benchmark test was held with 1 process and hundred connection. Sanic was capable of handling 33,342 requests in 1 one second. Some of the key features of the Sanic framework are Class-based views, Plugin support, Read and Write cookies, permits logins like error log and access log.
Pycnic: It is an object-oriented and microframework is one of the fastest JSON APIs frameworks. Since this framework can handle the JSON based APIs this is a stand-alone and it holds strong purpose on with comparison to the other APIs. The key highlight feature of this framework is Handles routing, support cookies, handling JSON-based requests, and in-built error handling.
Tornado: Tornado is also an Asynchronous framework and it is an open-source framework. Tornado is a networking library with the capacity to handle the C10K issue using the non-blocking network I/O. This framework is ideal for high performance and handling several thousand concurrent users. This framework was initially developed for a company called FriendFeed later in the year 2009 it was acquired by Facebook in the year 2009. Some of the key features of this framework are Web templating, High-quality performance, Supports localization and translation, User authentication support, Real-time services, and HTTP client servers are never blocked.
Falcon: This is one of the microframeworks that aims at building rapid APIs and also it is one of the most popular frameworks among developers. This framework allows developers to build designs that are cleaner and supports the REST and HTTP architectures. A capacity test was conducted on the Falcon similar to Sanic and this framework passed the test by handling the most number of the request with different hardware and contemporaries. The key feature of this framework is Upfront exception handling, Extra speed boost, Unit testing through WSGI mocks and helpers, and Ease of access to the bodies and headers through request. Python Course in Bangalore at FITA Academy provides holistic knowledge of the Python frameworks and its application in the professional environment to the students.
Features of Python
Python is one of the predominantly used programming languages among the Software Development Community. This language is considered to be the most versatile and dynamic language in the developing community. It supports various cross platforms and operating systems efficiently. Listed below are some of the significant features of Python.
- Easy to Code
- Open Source and Free
- Object-oriented
- Support GUI
- Standard Library
- High-Level
- Portable
- Databases
Easy to Code: Python is a user-friendly programming language. This indicates that anyone who has no prior knowledge of Software Program or Development can learn this language easily. Also, this language is easy to write and understand when compared to other programming languages such as C, C++, Java and Dot Net. Besides, being the high-level programming language is easy to read as this language consists of more phrases rather than syntax and codes.
Open Source and Free: It is an object-oriented open-source programming language that means anyone can contribute and create to its development. In Simple, the source code is accessible to the public. The Python Programming language consists of an online public forum where more than thousands of codes are collected regularly to improve the programming language further. Also, Python can be downloaded easily and for free using any of the operating systems like Windows, Linux, or Mac.
Object-oriented: A programming language is called to be Object-oriented when the language can be applied and used in real-world scenarios. Python primarily focuses on combining the data and functions. This language also supports different inheritance, unlike other programming languages.
Support GUI: Graphical User Interface is the key aspect of any programming language. GUI can add flair to the code and make it visually appealing. Python offers numerous libraries for using the GUI for your applications. For Example, Tkinter, JPython, and wxPython. Python Training in BTM at FITA Academy efficiently trains the students to develop a program using the Python Codes and Scripts.
Standard Library: Python has a vast library consisting of various models and functions. With the help of the Python library, one need not write the code regularly to create a program, one can directly access the library and import the code which already exists in the library. Also, there are numerous libraries for documentation generation, regular expressions, web browsers, unit testing, databases, threading, image manipulation, CGI and emails.
High-Level: It is a high-level programming language that indicates that the developers while writing code in Python, it is not required to remember the coding architecture or structure. This is because of the memory management provided by the Python language.
Portable: Any programming language is called portable only when it permits the developers to code once and run the feature anywhere. For example, if the Developer has written the Python code in the Windows system and when the Developer needs to run the same code in the Mac system, the Developer is not required to make any changes in it. The Developer can simply run the same code without making any changes. Except in Python, this feature is not feasible in most of the programming language.
Databases: The most important fact of an application is its database. Every application should be supported by the programming language that is being used. The Python language supports all most every important database that could be used in applications like ORACLE and MySQL. Python Training in Marathahalli at FITA Academy provides the necessary training to the students to qualify themselves in a professional environment.
Future & Beyond
Python has evolved at the right time when there is a huge demand for flexible object-oriented programming languages suiting the requirements of modern technologies. Python overcomes the limitations of previous programming languages that were focused on having a huge core with complex syntax. Developers of Python adhere to their minimalistic approach by having a small core and an enriched standard library for better cross-platform performance.
Based on various reports the growth of Python Skills in the labor force is slow compared to the growth of Python-related job opportunities in India. Empowering of Python aspirants with market-relevant skills is the prime objective of FITA Academy through its Python Course in Bangalore. Apart from private entities governmental agencies responsible for tackling breach of Cyber Security are also on the hunt for talented Python developers.
Artificial Intelligence utilizes Python due to its ease of coding and preset standard libraries that cater to the dynamic requirements of Artificial Intelligence and Machine Learning. Based on the search results from indeed.com – Python tops the list of most preferred languages for AI and ML. Python also aids Big Data with its codability and scalability to write Hadoop MapReduce Programs using the PyDoop package. Utilizing PyDoop advanced MapReduce concepts like Record readers and counters can be implemented in Python. Python can be used to create explanatory and predictive models using the processed data for the integration of the models with actual production systems. Numerous Python-based libraries such as NumPy, SciPy, pandas, IPython, SymPy simplifies complex coding and provides better results; thus Python stands out from other programming languages in Data Science field.
Skyscanner, a travel and tourism organization utilizes Python-based unsupervised ML algorithms to analyze new airplane routes. Uber’s Michelangelo PyML, developed using Python – for prediction on the shortest destination, cab availability, and daily activities related to the application. Magenta, a Python library as well as a research project – aims at the creation of music and art using AI. Workflow automation systems built using Python Scripts are operational in NASA. TensorFlow, an open-source library for utilization in Machine Learning concepts such as Neural Networks was developed by Google Brain Team using Python. Netflix utilizes a Python framework named Metaflow for executing various ML Projects from Prototyping to Production. Metaflow helps in handling innumerable data points and computing on thousands of CPU cores.
DevOps practices advocates for better integration and collaboration in the software development lifecycle. Python has an inclusive nature to be flexible to different platforms and integrates well with other programming languages such as Java, C, C++, etc. The ability to code according to various programming paradigms is an added advantage of Python, considering the DevOps nature of workflow with continuous integration and continuous deployment. Candidates interested in learning DevOps practices from Professional DevOps Engineers can join DevOps Training in Bangalore at FITA Academy.
Python is easy to learn with hassle-free syntax enabling freshers to acquire a quick understanding of the language. Python allows developers to foray into unexplored source codes and learn swiftly. Python’s dynamic typing reducing the time for coding complex applications with simple, user-friendly syntax. It has been evolving for nearly 25 years overturning the limitations of previous editions with a constant minimalistic and fluidic approach for Developer’s convenience and better integration.
Python Developers can venture into various streams in the IT sector and advanced technologies such as AI, Big Data, Data Science, etc. Freshers enthusiastic to become a software engineer can choose Python because of the growing Python-based Projects in the vast majority of organizations. A Python Programmer can update themselves with skills in software deployment and testing for career opportunities in DevOps. In the current scenario, the world is increasingly in favor of automation-thus Python will serve as an effective tool to code a variety of automation based applications and software. Python Developers community across the globe has a huge online presence to share knowledge and discuss the challenges faced in coding. Python community is a major determining factor for the phenomenal growth of Python across various platforms.
Python Course in Bangalore at FITA Academy serves its purpose of skilling the aspiring Python developers for making an excellent career in programming. FITA Academy has been instrumental in guiding the students in the appropriate path for success in career. Professional Python Developers with a decade of experience train the students in every Python skills on demand in the market and enrich the students with the practical challenges and nuances to tackle such issues. With 100% placement assistance and continued guidance even after course completion, FITA Academy serves all-round needs of aspiring Python developers.
Python Deep Learning Applications in this year and Beyond
The following are some of the most popular Python deep learning applications that you can use to get started with machine learning and artificial intelligence which you gained complete knowledge from Python Training In Bangalore.
1. Keras – This is a high-level API for building neural networks. It’s easy to implement, but requires a lot of coding work. However, it has a large community behind it.
2. PyTorch – This framework offers a simple model interface which makes it easier to build complex models quickly. The only downside is that it doesn’t offer an intuitive user interface.
3. TensorFlow – This is one of the most commonly used frameworks for implementing neural network algorithms. It provides an efficient GPU implementation and has many pre-built functions for common tasks like image recognition.
4. Caffe Framework – This is another open source framework that allows users to build their own neural networks. Users have to code everything from scratch and there isn’t much support available online.
5. MXNet – This is also known as Chainer or MXNet. It supports both CPU and GPUs. It runs on top of Apache Spark and Google Cloud Platform (GCP). Some of its major features include flexible graph programming, distributed computing, fast experimentation, and multi-GPU training.
6. CNTK – This library is developed by Microsoft Research and is designed for developing deep learning applications. It includes tools for data preparation, model deployment, infrastructure management, workflow orchestration, and more.
7. Scikit Learn – This is a Python package created by Open Source contributors. It contains various libraries and tools for different machine learning tasks.
8. PyBrain – This is a Python platform for creating intelligent agents. It works well for solving problems such as language modeling, reinforcement learning, planning, robotics, and more.
9. Scikit-learn – Know this from Python Course In Bangalore a powerful machine learning toolbox written in pure python. It implements all the standard classification methods (SVM, Naive Bayes, Decision Trees) as well as clustering techniques (k-Means, Spectral Clustering, DBSCAN). It also includes several advanced learners (Random Forests, Gradient Boosting Machines, Neural Networks) and feature extraction methods (PCA, LDA, TFLDM).
10. Orange Data Mining Library – This is another Python package developed by Open Source developers. It is dedicated to big data analytics. It comes with modules for data mining, machine learning, predictive analysis, knowledge discovery, and visualization.
11. Matplotlib – Expert Instructors from FITA Academy’s Python Training Institute In Bangalore provide youthis module which uses 2D graphics for presenting the results of statistical analyses. It’s useful for visualizing data sets with dozens of columns and rows. It can be used to visualize graphs, maps, charts, and images.
12. NumPy – This is a versatile array processing library for scientific computing in Python. It was originally designed for numerical computation using multiple arrays. But it can also be used to manipulate single arrays.
13. Pandas – This is a Python data structure and manipulation library. It provides a wide range of functionality for working with tabular data.
14. Seaborn – This is a Python library for statistical exploratory data analysis. It creates attractive plots for data sets with multiple dimensions and variables.
15. Scapy – This is another Python packet sniffer/analyzer. It lets you inspect packets sent and received over local area networks.
16. IPython Notebook – This is a web application for interactive computing in Jupyter Notebooks. You can use it to create new notebooks and share them with others.
17. Jupyter Lab – This is an extension of Jupyter Notebook that adds support for running experiments interactively within your browser.
18. iPython widgets – This is a collection of pre-built user interface elements for Jupyter NoteBooks. The most widely used one is matplotlib inline which allows embedding matplotlib figures directly into Jupyter NoteBook cells.
19. Plotly – This is a JavaScript plotting library for Python. It lets you make beautiful plots quickly without worrying about how to design them.
20. Bokeh – This is a Python toolkit for creating publication quality dashboards. It has built-in chart types like line, bar, scatter, map, etc.
