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Python Online Course

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Python Online Course

Currently there is huge interest in the Python programming language. This is driven by several factors,  its ability to be used for DevOps scripts, its use in data science and machine learning and of course the language itself. Python is an interpreted, high level programming language for general- purpose programming. Python’s high-level built in data structures, combined with dynamic typing and binding, make it very attractive for Rapid Application Development. It supports multiple programming paradigms, including object oriented, imperative, functional and procedural, and has a large comprehensive library. You can run Python code in almost every platform and device available (a very powerful benefit).

People in different industries and field of studies use it. You can use it to create programs with a graphical user interface (GUI). Furthermore, you can develop web servers or cloud applications using Python. Last, but definitely not the least, you can use it to process big data.

Python is backed by its huge community. Its community has lots of frameworks, toolkits, libraries, and modules to offer. Most of them are free for you to use. And they can help you immensely in creating robust and complex programs you have in mind. 

It is compatible with multiple platforms.

As of now, Python is one of the top 10 most used and popular programming languages in the world. Its usefulness is vast and it continues to grow in popularity. With all of the characteristics it has, it has clear advantages over other programming languages. 

In Python online training you will be learning fundamental concepts like how to deal with variables and operators, special data types and loops which are the core elements in a program. You will also be learning the advanced concepts such as Functional Programming, Object Orientation, and Exceptional Handling. A wide range of topics are discussed from python point of view including functions , recursion, Operators, Python properties, modules and packages, protocols and monkey patching etc. We also cover Structured Analysis, functional programming as well as advanced topics such as generators and co routines.

We provide lots of simple, step-by-step examples and illustrations are used to emphasis key concepts and help improve your understanding

Each practice exercise builds on concepts discussed in previous sessions so your learning is reinforced as you progress.

Topics are carefully selected to give you a broad exposure to Python, while not overwhelming you with too much (potentially unnecessary) information.

By the end of the course you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.

You will be learning the programming by best experts in the industry, professional programmers with real commercial programming experience, having worked with big companies.

As such you will not only be learning Python, but you will be learning industry best practices for Python programming that real employers demand. 

The best in the industry syllabus covers all the major topics necessary to learn this language. The online training course gives you the  flexibility to get knowledge from wherever you are. In this course you will have live sessions , cases and projects to work on which will help in learning better.

After your course completion you will be having hands on experience on below 

All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you’re coding and why - making programming easy to grasp and less frustrating.

You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more.

Complete chapters on object-oriented programming and many other aspects of Python, including databases with Python.

Although this is primarily a Python 3 course, a python developer will need to work with Python 2 projects from time to time – We’ll show the difference in both versions to make sure you understand how things work differently in each version.

Eligible Aspirants for Python Course

  • Fresh graduates who have no previous programming experience looking to penetrate in the field of programming.
  • Who is working in the field of Data Science, Machine learning or Artificial Intelligence
  • Any IT professional who wants to build their career in Python
  • Software Developers
  • Analytics experts
  • ETL Developers

Benefits of pursuing DevOps Course in ICONITINC

Aspirants will be benefited with unique features delivered by ICONIITINC

Unique Features in ICONIT INC

1.Limited Students:

We deploy dedicated trainers for each batch. Each batch consists of limited students maximum 10 in the group. Each student in the group is taken care individually. All the doubts in the session will be clarified on immediate basis. Trainers provide support in practical’s during projects.

You will be guided with case studies which help to get hands on experience on the projects as per the industry standards.

You will be attending live sessions of the trainer, no pre recorded videos.

2.Resume Preparation:

Candidate:

Why is Resume writing important?

Expert Says:

A resume is an important tool for your job search. It showcases your knowledge, your skills, experience, expertise, and accomplishments.

How ICONIT INC works here

We have remarkable proficiency in delivering job seekers the invaluable edge of dynamic, Text resumes that make them stand out from the competition. We professionally and effortlessly prosper in articulating the drawing out the strengths employers focus on when selecting candidates. Our ground-breaking, consultative approach has resulted in a strong success rate for our clients across the globe.

Our dedication and passion for bringing out the best from each draft we handle had provided us multiple opportunities for generating winning drafts for career transition and cross-functional resumes too. We are an enthusiastic and creative customer-focused writers, an experts at details, and producing quality work.

ICONITINC helps you to build a solid reputation, advance your career and command a higher salary

3.Mock Interviews:

Mock interview reflects an actual job interview. It helps to test your on-going interview preparation. It gives an opportunity to prepare, up to level of the industry standards. It gives an idea of what to say and do during the interview. A mock interview is useful in reviewing your answers to common questions and assessing other technical Skills.

ICONIT INC arranges 3 mock interviews for your actual interview preparation. It helps to practice better and become perfect to do well in the actual interview.

4.Job Assistance:

ICONIT INC will arrange 3 interviews from the top MNC’s.Candidate is purely responsible for clearing the interview.

 

 

 

 

Python Course Syllabus 

CORE PYTHON

INTRODUCTION

  • Understanding the Open source
  • Understanding Interpreters
  • Introduction to Scripting languages
  • Evolution of python
  • Installation of python

Getting started with Python

  • Creating the first python program.
  • Understanding the .py extension.
  • How to run the PYTHON PROGRAM

Python Scripts execution

  • Using the python command line
  • Using IDLE
  • Using IDEs
  • Using a regular command prompt

Variables

Various ways of printing

General datatypes in python

Boolean functions

Operators

  • Arithmetic
  • Relational
  • Logical
  • Assignment
  • Membership
  • Identity
  • Unary

Type casting

Literals

Comments

Strings and its types

  • Single line
  • Multi line
  • Doc strings

Accepting inputs.

  • Raw inputs and normal inputs

Control Statements:

Sequence control

Decision control

  • if(pure if)
  • if-else
  • if-elif
  • nesting

Loop control

  • for
  • while
  • for-else
  • while-else

break, continue and pass keywords

Indexing and slicing

Special datatypes

Lists

  • What are lists?
  • Mutable lists
  • In operator
  • Traversing a list
  • List operations
  • Converting a list to string
  • Converting a string to list
  • Aliasing in lists
  • Functions in lists
  • Range function
  • Sets
  • Properties
  • Various operations
  • Casting
  • Mathematical operations

Tuples

  • What is tuples?
  • Indexing in tuples
  • Slicing in tuples
  • Immutable tuples
  • Lists and tuples
  • Functions in tuples

Dictionaries

  • Keys and values
  • In operator
  • Looping in dictionaries
  • Lookups in dictionaries
  • Dictionaries and tuples
  • Functions in dictionaries
  • Single key with multiple values
  • Dictionaries vs. sets

Functions

  • Without arguments
  • With normal arguments
  • With positional arguments
  • With named or keyword arguments
  • With default arguments
  • With variable length arguments
  • With dictionary arguments
  • Functions returning  single and multiple values
  • Pass by reference
  • Pass by value
  • Anonymous functions
  • Understanding the docstrings
  • Lambda, map, filters
  • Understanding the return keyword
  • Global scope
  • Local scope

Modules

  • What are modules?
  • Understanding the namespaces
  • Various ways of importing
  • Various ways of accessing
  • Aliasing
  • dir () function
  • Installation of a module
  • Properties of a module
  • Understanding the virtualenv

Packages

  • Packaging a module
  • Understanding initfile
  • Establishing the relation between the modules and Packages
  • Sub packages

Files

  • Reading and writing files
  • Methods of File Objects
  • Modes
  • Reading
  • Writing
  • Modify
  • Executing database queries using python scripts
  • File creation in the default and specific locations
  • read(),readline() and readlines()
  • Merging
  • Files similar schema
  • Files different Schema
  • Flip KartExample
  • Buffering in files

ADVANCED PYTHON

OOPS

  • OOPS Paradigm
  • Differences between Procedural and Object Oriented Programming
  • OOPS Approaches
  • OOPS Principles

CLASSES AND OBJECTS

  • Understanding the classes in python.
  • Employee class
  • Using the class statement
  • Creating the objects for classes
  • Methods in classes.
  • Differences between the methods inside the class and outside the class
  • self keyword

Encapsulation

Inheritance

Types

  • Single
  • Multilevel
  • Hierarchical
  • Multiple
  • Hybrid
  • Problems with multiple inheritances
  • Understanding the super method

Interfaces

  • Interface and its properties
  • Differences between an abstract class and an interface

Abstraction

  • Abstract methods
  • Abstract classes
  • Decorative
  • ABC module

Installing predefined modules

Working with excel files

OS Commands

Constructors

  • Parameter less
  • Parameterized
  • Differences between the methods and constructors
  • Advantages

Destructors

Garbage collectors

Exceptions

  • What are exceptions?
  • Various types of exceptions
  • Exception handling  - try,except,else,finally
  • Displaying predefined and user defined messages
  • Trapping errors
  • Raising exceptions
  • Customized exceptions

Lambda, Map and Filter functions

Command line arguments

DATABASE CONNECTIVITY:

  • What is database and its purpose?
  • Types of databases
  • What is a query?
  • Working with oracle/MySQL databases
  • How to install MySQL-server and oracle
  • How to know what modules to install
  • Operations
  • Creation of tables
  • Insertion
  • Data retrieval
  • Updation
  • Alterations
  • Deletions
  • Other operations

Python and MySQL

  • Connecting the python application with the database
  • Cursors
  • Running the queries
  • Fetching the required amount of data and the complete data
  • Loading  thedata from the database tables into excel file and  text file

MULTI THREADING

  • Concurrent programming
  • Creating and starting a thread
  • Thread module
  • Improving the performance using threading
  • join() function

Ways to implement threads

  • Creating threads using our own classes.
  • Creating Thread by creating a child to "Thread" class.
  • Creating a thread directly without classes

Several methods of thread class

Thread Synchronization

Locking mechanism

 

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Enroll Duration Type
Enquire Now 55 Hours Instructor Led Online training

Rate and review this course




Harshit Pareek

1 year ago

Very simple explanation. Great illustration with simple examples. Thank you so much Iconitinc.


YOSHITHA VAKATI

11 months ago

Very Good Training explained the basic idea of overall AI in a very short time. Thank you so much.


Reema Agarwal

11 months ago

Wow, this looks like a great course!

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