
- Instructor: Srikanth
- Lectures: 171
- Students: 60
- Duration: 4 weeks
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.
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INTRODUCTION
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Getting started with Python
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Python Scripts execution
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Variables Various ways of printing General datatypes in python Boolean functions Operators
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Type casting Literals Comments Strings and its types
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Accepting inputs.
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Control Statements:
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break, continue and pass keywords Indexing and slicing Special datatypes
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Lecture 9.1Lists
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Lecture 9.2What are lists?
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Lecture 9.3Mutable lists
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Lecture 9.4In operator
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Lecture 9.5Traversing a list
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Lecture 9.6List operations
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Lecture 9.7Converting a list to string
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Lecture 9.8Converting a string to list
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Lecture 9.9Aliasing in lists
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Lecture 9.10Functions in lists
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Lecture 9.11Range function
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Lecture 9.12Sets
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Lecture 9.13Properties
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Lecture 9.14Various operations
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Lecture 9.15Casting
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Lecture 9.16Mathematical operations
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Tuples
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Dictionaries
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Functions
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Lecture 12.1Without arguments
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Lecture 12.2With normal arguments
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Lecture 12.3With positional arguments
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Lecture 12.4With named or keyword arguments
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Lecture 12.5With default arguments
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Lecture 12.6With variable length arguments
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Lecture 12.7With dictionary arguments
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Lecture 12.8Functions returning single and multiple values
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Lecture 12.9Pass by reference
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Lecture 12.10Pass by value
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Lecture 12.11Anonymous functions
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Lecture 12.12Understanding the docstrings
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Lecture 12.13Lambda, map, filters
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Lecture 12.14Understanding the return keyword
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Lecture 12.15Global scope
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Lecture 12.16Local scope
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Modules
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Lecture 13.1What are modules?
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Lecture 13.2Understanding the namespaces
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Lecture 13.3Various ways of importing
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Lecture 13.4Various ways of accessing
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Lecture 13.5Aliasing
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Lecture 13.6dir () function
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Lecture 13.7Installation of a module
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Lecture 13.8Properties of a module
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Lecture 13.9Understanding the virtualenv
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Packages
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Files
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Lecture 15.1Reading and writing files
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Lecture 15.2Methods of File Objects
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Lecture 15.3Modes
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Lecture 15.4Reading
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Lecture 15.5Writing
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Lecture 15.6Modify
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Lecture 15.7Executing database queries using python scripts
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Lecture 15.8File creation in the default and specific locations
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Lecture 15.9read(),readline() and readlines()
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Lecture 15.10Merging
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Lecture 15.11Files similar schema
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Lecture 15.12Files different Schema
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Lecture 15.13Flip KartExample
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Lecture 15.14Buffering in files
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ADVANCED PYTHON
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OOPS
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CLASSES AND OBJECTS
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Lecture 18.1Understanding the classes in python.
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Lecture 18.2Employee class
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Lecture 18.3Using the class statement
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Lecture 18.4Creating the objects for classes
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Lecture 18.5Methods in classes.
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Lecture 18.6Differences between the methods inside the class and outside the class
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Lecture 18.7self keyword
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Encapsulation Inheritance Types
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Interfaces
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Abstraction
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Installing predefined modules Working with excel files OS Commands Constructors
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Exceptions
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DATABASE CONNECTIVITY:
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Lecture 24.1What is database and its purpose?
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Lecture 24.2Types of databases
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Lecture 24.3What is a query?
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Lecture 24.4Working with oracle/MySQL databases
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Lecture 24.5How to install MySQL-server and oracle
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Lecture 24.6How to know what modules to install
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Lecture 24.7Operations
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Lecture 24.8Creation of tables
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Lecture 24.9Insertion
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Lecture 24.10Data retrieval
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Lecture 24.11Updation
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Lecture 24.12Alterations
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Lecture 24.13Deletions
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Lecture 24.14Other operations
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Python and MySQL
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MULTI THREADING
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Ways to implement threads
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