Python Training

5 Star Rating: Recommended - Best Python Training in Chennai 77 reviews

Growth happens when you invest time in it. Since its inception in 1994, Python language has reached a mature state now like a “fully grown” Python snake.It is also known for its flexibility (like the real snake) and improved productivity for programmers. Learning Python is definitely a fun-making exercise which you will definitely relish.Given the fact that Python language is gonna rule the roost in the coming years especially in field of data analysis & big data analytics, would you like to grab or miss the opportunity of learning this beautiful language?


Section 1: Introduction

  • Why python?
  • Where is Python used?
  • U.S.P of Python
  • How Python programs are run?
  • Popular IDEs available

Section 2: Types and Operations

  • Built-in types
  • Strings,Lists,Dictionaries,Tupes,Files,User-defined classes
  • Numeric types
  • String operations
  • Lists and Dictionaries
  • Tuples and files
  • User-defined classes

Section 3: Statements and Syntax

  • Python statement
  • Assignments,expressions
  • If tests
  • While and for loop

Section 4: Iterations and comprehensions

  • iter and next
  • list and dictionary comprehensions
  • range, map and zip iterables

Section 5: Functions and generators

  • Def blocks
  • Polymorphism in functions
  • Global and local scope
  • Arguments & parameters
  • Lambda basics
  • Generator functions : yield versus return

Section 6: Modules

  • How imports work
  • Module Namespaces
  • Standard library modules 

Section 7: Classes & OOP

  • OOP : The big picture
  • Class coding basics
  • Realistic examples
  • Operator & function overloading
  • Decorators and metaclasses – basics
  • Designing with classes

Section 8: Exceptions

  • Try catch block
  • System and user-defined exceptions
  • Designing with exceptions

Section 9: Taking a deep dive

  • Decorators – in detail
  • Metaclasses – in detail
  • Managed attributes
  • Design of real life solutions using Python + OOP

Section 10: Real-life applications and solutions

  • Interaction with SQL and NOSQL database
  • Packet sniffing using Python
  • Web scraping using Python
  • Data analysis using Python
  • Natural Language processing using Python

Section 11: Assessment

  • Objective choice of 30 questions
  • Problems to solve with real-time use cases (5 questions)

History of Python

BBC’s ‘Monty python’,a comedy series,released during the late 1960’s was a huge hit. The Python programming language, released in early 1990’s ,eponymous of the comedy series, turned to be a huge hit too, in the software fraternity. Reasons for the hit runs into a long list – be it the dynamic typing, or cross-platform portability, enforced readability of code, or its ability to take the shape of a scripting or a programming language, or a faster development turnaround.

The power of Python

The power of Python is exploited in 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. is the official website of the language. Check out the ‘Success stories’ section and get surprised over the wide domains/sectors that the language is being used.

Learning Python is quite a fun

Thanks to its interactive console, even a person who is getting his feet wet with programming can quickly learn the concepts.
Possessing the features of both the scripting language like TCL,Perl,Scheme & a systems programming language like C++,C,Java, Python is easy to run & code.
Show a Java program and a Python script to a novice programmer – he definitely finds Python code more readable. The Python script is first converted to platform independent byte code making Python a cross platform one. You don’t need to compile & run unlike C,C++ thus making the life of software developer easier.

OOP in Python

The OOP features such as inheritance, polymorphism and encapsulation supports resuability as well. However, OOP is an option in Python. You can still write a simple script to calculate the complex Djikstra’s algorithm for mathematical computation without using OOP. But,if you check the PyPI (Python Package Index) list of available modules, even the Djikstra’s algorithm is available as a module you can plug & play. Such is the comprehensiveness of the modules index.

Databases in Python

Python can interact with all databases incuding SQL databases such as Sybase, Oracle, MySQL and noSQL databases such as mongoDB,couchDB. In fact, the ‘dictionary’ data structure that Python supports is the ideal one for interacting with noSQL database such as mongoDB which processes documents as key-value pair. Web frameoworks written in Python such as Flask,Django facilitates faster web application building & deployment. It is also employed to process unstructured data or ‘BIG DATA’ & business analytics. Notable to mention are Web scraping/Sentiment analysis, data science, text mining. It is also used with R language in statistical modelling given the nice visualization libraries it supports, such as Seaborn, Bokeh and Pygal. If you’re used to working with Excel, learn how to get the most out of Python’s higher level data structures to enable super efficient data manipulation and analysis.

Importance of Python

Companies of all sizes and in all areas — from the biggest investment banks to the smallest social/mobile web app startups — are using Python to run their business and manage their data, especially because of its OSI-approved open source license and the fact that it can be used for free. Python is not an option anymore but rather a de facto standard for programmers & data scientists.


  • Professional approach towards training using latest techniques
  • Minimal batch strength to give individual attention to all
  • Unlimited lab / practice environment access provided to all candidates
  • Flexible batch schedule – Attend missed sessions with next batch
  • We provide free placement assistance because we care about your career

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Python Training Reviews

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Very well balanced and professionally delivered

I joined in CREDO SYSTEMZ to learn Python. Trainer Iyyappan is having Vast knowledge in Python. He is very cool and good in explaining the concepts.I have gained a clear and in-depth knowledge on the Python.Thank you CREDO SYSTEMZ and Mr.Iyyappan


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