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A Comprehensive Guide to Learn Python Training:

What is Python?

Python is a comprehensive-purpose, object-oriented, high-level programming language. It is defined and dynamically-typed. Its readability along with its powerful libraries have given it the honor of being the chosen language for exciting careers like that of a data scientist or a machine learning engineer. Python is also frequently chosen as the language to advance students to programming in schools and universities. This Python tutorials package helps you to learn it from scratch and you will become a master of Python soon.

Easy to Learn Python?

Although Python could be easier than using Java, as it has various powerful purpose formats, it does not have a specific language development advantage and user-friendly. However, Is Python Is easy to learn means if you start a career in the program, you may want to begin learning Python, as it is very hard.

Python Features:

Let’s see some of the impressive features of Python:

Easy to read, write and learn – Python is called a beginner-friendly language because of its simplicity. Python is easier to write and learn than other general programming languages.

Free and open-source – Python is easily available to download and it’s also open-source, which means you can create your flavor of Python by modifying the code and even distribute it.

Dynamic typed – Python is a defined language and the data type of Python is decided during the runtime and not at compile time. We don’t have to declare the data type for each variable.

Portable – Python is extremely portable, you don’t have to change the code in order to shift your program from one operating system to another.

Large standard library – Python standard library comes with lots of implementations so you don’t have to write code for every task. The standard library comes packed with libraries for regular expressions, documentation-generator, unit-testing, web browsers, threading, database, emails, image manipulation, etc.

Python Training in Delhi is the numerous demanded training in the industry. With around 30% of jobs in the field of IT demand good knowledge in Python programming. At APTRON, we provide the Certified Python Programming course which is designed in such a way that it covers all topics from the basics to the advanced level. Our Python programming is a hands-on programming training where we focus on individuals and encourage them to develop their own tools using python programming. Our Python Training in Delhi is crafted to develop the skill set of students where we conduct compulsory exams after each module. During these exams, individual students need to work on the project they wish to develop and implement the programming skills they have learned during the training.

Python Frameworks

Let us discuss some of the popular frameworks of Python:

Django – Django is one of the most preferred full-stack frameworks for web development. It follows the DRY(Don’t Repeat Yourself) principle and offers rapid development.

Flask – Flask is a microframework for web-based applications that is well suited for simple and small projects.

Robot framework – Robot is an open-source testing framework for test-driven development. It’s an extensible keyword-driven automation framework for approval testing.

Tornado – The tornado framework is mainly built to handle asynchronous programming. It is highly scalable due to non-blocking system which was inspired by the node.js

CherryPy- CherryPy is an object-oriented Python framework which is a non-full stack web framework. It is practiced to provide CRUD functionalities for applications and helps in managing the project.

Python course training is a much-in-demand course, which is used for the development of large-scale web applications. APTRON is also a Python Training institute in Delhi which offers this course with the support of high level and experienced faculty, who have immense knowledge and command over this subject. Using Python, one can easily develop anything, which is simply close to impossible to build with other languages. This is because Python comes with many new features that are workable for all conditions and platforms.

Who should attend

Python is the most popular language around now with multiple organizations using it for a wide variety of purposes from developing web sites, implementing DevOps functions to Machine Learning and Data Analysis. This course is perfect for any Software developer who wants to be powerful to develop modernized Python applications or services.

CAREER OPPORTUNITIES

  • Python Developer
  • Python Programmer
  • Machine Learning, Data Science, Django
  • Work As A Freelancer

Why Is The Demand For Python Programming?

The major features that lead to the overwhelming demand for Python programming incorporate

  • In response to the mind-boggling demand for the Python programming applications, it is currently being educated at the passage level and further higher levels inside the organizations to decrease the ability holes of their employees.
  • Python is utilized by Google machine and large activities like Red Hat, Disney, and so on.,
  • It is a useful, strong and thorough programming language.
  • It is being received by the top most popular programming dialects which are being utilized in the business.
  • It has better portability features that can be utilized over a multitude of platforms.



Python Course Syllabus

Introduction to Python

  • Python Background
  • Python Versions
  • The Language
  • Execution Model
  • Running Python Programs
  • REPL, python command, script, IDE
  • Useful Online Resources
  • Obtaining Python
  • IDEs

Python Built-In Types

  • Interactive Hello World
  • Variables & Types
  • Naming Conventions
  • Comments
  • Strings
  • Numbers
  • Boolean Values
  • None Value

Flow of Control in Python

  • Comparison Operators
  • If statement
  • Using else and elif
  • Nesting if statements
  • Logical Operators
  • If expressions
  • While Loops
  • For loops
  • Break and Continue

Python Containers

  • Introduce collection types
  • Tuples
  • Lists
  • Sets
  • Dictionaries
  • Collection constructor functions

Functions

  • Defining Functions
  • Zero, single and multiple parameter options
  • Default parameter values and named parameters
  • Returning values
  • Arbitrary parameter lists
  • Positional and Keyword /named parameters
  • Docstring
  • Anonymous Functions / Lambdas

Objects and Classes

  • Everything is an Object
  • What do classes do?
  • Class Terminology
  • Defining user defined classes
  • Instantiating Objects from Classes
  • Class Comments
  • Defining behaviour
  • Class side methods and Behaviour
  • Static methods
  • __new__ versus __init__

Inheritance

  • What is Inheritance?
  • Inheritance Terminology
  • Purpose of a Subclass
  • Declaring Inheritance in Python
  • The Class object and Inheritance
  • Overriding and Extending Methods
  • Inheritance Naming Conventions
  • Multiple Inheritance

Operator Overloading

  • Why have Operator Overloading?
  • Why not have Operator Overloading?
  • Defining Operators
  • Numerical Operators
  • Comparison Operators
  • Logical Operators
  • Modules, packages and Anaconda

Modules

  • Python Modules
  • Importing Modules
  • Using from with import
  • Further Importing Techniques
  • Module Properties
  • Module Search Path
  • Pip, Conda and Anaconda

Exception Handling

  • Errors & Exceptions
  • Exception types in Python
  • Exception Handling
  • try-except blocks
  • default Exception Handler
  • else Clause
  • finally block
  • Raising an Exception / Error
  • Defining New Exceptions / Errors
  • Chained Exceptions

Protocols

  • Implicit Contracts
  • Duck Typing
  • Protocols
  • Context Manager Protocol
  • Polymorphism in Python
  • Monkey Patching

Iterators & Iterables

  • Iterables
  • Iterators
  • Iteration Related Methods
  • Iterable Events Class
  • Using Events class with a for loop
  • The itertools module
  • Generators and Coroutines

Generators

  • Generator Functions
  • Generator with a for loop
  • When do yield statements execute?
  • An event number Generator
  • Nesting generator Functions
  • Coroutines
  • Coroutine Example

Python Properties

  • Python Attributes
  • Setter and getter style methods
  • Public Interface to Properties
  • Python Properties
  • More Concise Property Definitions

Testing PyTest and Mocking

  • Test Driven Development
  • What is pytest?
  • Writing tests
  • Organising Tests
  • Test Fixtures
  • Parameterized tests
  • Testing for Exceptions
  • Ignoring Tests
  • Mocking
  • Mocking with pytest-mock

Files and Paths

  • Obtaining a reference to a file
  • File Access Modes
  • Reading Files
  • File Contents Iteration
  • Writing Data to Files
  • Using files and with statements
  • The fileinput module
  • Renaming and Deleting files
  • Random Access Files
  • Directories
  • Temporary Files & Directories
  • Paths

Monkey Patching

  • What is Monkey patching?
  • How does Monkey Patching work?
  • Monkey Patching Example
  • Adding new Data to a Class