Python TraINING    

Python


Python is an Object oriented, high level and multi purpose language. Python training is made very easy to learn and can be interpreted to more number of Operating Systems including Unix based systems. Python training ensures debugging quite simpler because there are no difficulties steps in Python development and edit-test- debug cycle is very fast.

The power of Python is dominating in the development of popular web applications like Youtube, Dropbox & BitTorrent. No wonder that even NASA has used it in space shuttle mission design & in discovery of ‘Higgs-boson’ particles (GOD particles). The rich set of modules available in the language made the top security agency NSA use Python for cryptography. Not to mention that giants like Disney, Sony Dreamworks have used it in game & movie development. Nowadays, given the data is becoming “BIG”, programmers resort to Python for web scraping/Sentiment analysis. Think of ‘Big Data’, the first technology that comes to a programmer’s mind in processing that (ETL & data mining) is Python.

  • Mon – Fri ( 6 Weeks ) | 06.30 AM - 07.30 PM Time (IST) (any 2 hours)

  • Sat – Sun ( 8 Weeks ) | 07.00 AM - 07.30 PM Time (IST) (any 3 hours)


Why Python Training required?

  • An Entry-Level Software Engineer with Python skills earns an average salary of Rs 5,330,251.65 per year and so you can choose Python training.
  • According to HackerRank, a competitive platform for programmers, out of 38 coding languages across the world, 13.95 percent of entire code were compiled in Python, while 15.72 percent completion were in C, 37.72 percent of submissions were in C++. Trivid covers all competitive topics during your python training course
  • Python’s design & libraries provide 10 times productivity compared to C, C++, or Java
  • 61% of developers using Python as their main language also use JavaScript.
  • A Senior Python Developer in the United States can earn $102,000 – indeed.com



Objective of the Python course:

By the end of this Python training course, you will be able to :

  • Learn about the basics, significance and installation of Python
  • Learn about file and sequence operations
  • Learn about MapReduce concepts for Hadoop deployment
  • Study OOP, expressions, data types, looping, etc. in your python training course.
  • Understand SQLite in Python, functions, operations and class defining
  • Use Python for writing and deploying Pig UDF and Hive UDF
  • Get to know the Machine Learning Algorithms in Python training
  • By the end of this Python training course you qill be able to Work on a real life Hadoop project running on Python
  • Python Course Completion Certificate from Trivid
  • Be equipped for the Python Professional Certification

Who should prefer Python training course?

This Python training course is suitable for:

  • Who ever is interested in becoming Python developer
  • College Students / Fresher
  • Job Seekers
  • Testers
  • A technical engineer, who wants to learn new language
  • BI Managers and Project Managers
  • Software Developers and ETL professionals
  • Analytics professionals
  • Big Data professionals
  • Those wanting to have a career in Python
  • At last if you are too lazy and want to automate all stuffs and your daily task, give it a shot.

Prerequisites

You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help.


Python Training Course Syllabus

  • Why do we need Python?
  • Program structure
  • Execution steps
  • Interactive Shell
  • Executable or script files
  • User Interface or IDE
  • Object creation and deletion
  • Object properties
  • Data Types and Operations
  • Numbers
  • Strings
  • List
  • Tuple
  • Dictionary
  • Other Core Types
  • Assignments, Expressions and prints
  • If tests and Syntax Rules
  • While and For Loops
  • Iterations and Comprehensions
  • Opening a file
  • Using Files
  • Other File tools
  • Function definition and call
  • Function Scope
  • Arguments
  • Function Objects
  • Anonymous Functions
  • Module Creations and Usage
  • Module Search Path
  • Module Vs. Script
  • Package Creation and Importing
  • Classes and instances
  • Classes method calls
  • Inheritance and Compositions
  • Static and Class Methods
  • Bound and Unbound Methods
  • Operator Overloading
  • Polymorphism
  • Default Exception Handler
  • Catching Exceptions
  • Raise an exception
  • User defined exception
  • Defining Panda
  • Pandas – Creating and Manipulating Data
  • How to Create Data Frames?
  • Importance of Grouping and Sorting
  • Plotting Data
  • Django overview
  • Creating a project
  • Apps life cycle
  • Admin interface
  • Creating views
  • URL Mapping
  • Template system
  • Models
  • Form details
  • Testing
  • Page redirection
  • Sending Emails
  • Deploying Django framework
  • Generic views
  • Form processing
  • File uploading
  • Cookie handling
  • s,caching and comments
  • RSS,AJAX