Python Training

About

Python is very simple, yet incredibly powerful programming language. You can use it for writing web and desktop apps, scripts, and more. This course teaches you the basics of Python syntax, functions, creating console and web apps, and distribution.

Python Fundamentals gets you started with Python, a dynamic language popular for web development, big data, science, and scripting. What’s so great about Python? Python is powerful. The Python language is expressive and productive, it comes with a great standard library, and it’s the center of a huge universe of wonderful third-party libraries. With Python you can build everything from simple scripts to complex applications, you can do it quickly, and you can do it with fewer lines of code than you might think possible. But for many people those reasons take back-seat to something more important: Python is fun! Python’s readable style, quick edit-and-run development cycle, and “batteries included” philosophy mean that you can sit down and enjoy writing code rather than fighting compilers and thorny syntax. As your experiments become prototypes and your prototypes become products, Python makes the experience of writing software not just easier but truly enjoyable. In the words of Randall Munroe, "Come join us! Programming is fun again!"

Objectives

  • Master the fundamentals of writing Python scripts
  • Learn core Python scripting elements such as variables and flow control structures
  • Discover how to work with lists and sequence data
  • Write Python functions to facilitate code reuse
  • Use Python to read and write files
  • Make their code robust by handling errors and exceptions properly
  • Work with the Python standard library
  • Explore Python's object-oriented features
  • Search text using regular expressions

Pre-requisites

You should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages is a plus.

Features

Master programming using Python. Python is a one-stop shop with framework for pretty much anything, from web apps to data analysis. This course will help you understand all aspects of Python programming.

  • 40 hrs of live ,expert instructor-led training
  • 72 hrs of self-paced learning
  • 24 hrs of capstone project
  • Verified Certificate from Massachusetts Institute of Technology(MIT) by edX/NIIT
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Agenda

An Overview of Python

What is Python?
Interpreted languages
Advantages and disadvantages
Downloading and installing
Which version of Python
Where to find documentation
Running Python Scripts

Structure of a Python script
Using the interpreter interactively
Running standalone scripts under Unix and Windows
Getting Started

Using variables
String types: normal, raw and Unicode
String operators and expressions
Math operators and expressions
Writing to the screen
Command line parameters
Reading from the keyboard
Flow Control

About flow control
Indenting is significant
The if and elif statements
while loops
Using lists
Using the for statement
The range() function
Sequence Data

list operations
list methods
Strings are special kinds of lists
tuples
sets
Dictionaries
Defining Functions

Syntax of function definition
Formal parameters
Global versus local variables
Passing parameters and returning values
Working with Files

Text file I/O overview
Opening a text file
Reading text files
Raw (binary) data
Using the pickle module
Writing to a text file
Dictionaries and Sets

Dictionary overview
Creating dictionaries
Dictionary functions
Fetching keys or values
Testing for existence of elements
Deleting elements
Errors and Exception Handling

Dealing with syntax errors
Exceptions
Handling exceptions with try/except
Cleaning up with finally
Using Modules

What is a module?
The import statement
Function aliases
Packages
Regular Expressions

RE Objects
Pattern matching
Parsing data
Subexpressions
Complex substitutions
RE tips and tricks
Highlights of the Standard Library

Working with the operating system
Grabbing web pages
Sending email
Using glob for filename wildcards
math and random
Accessing dates and times with datetime
Working with compressed files
An Introduction to Python Classes

About o-o programming
Defining classes
Constructors
Instance methods
Instance data
Class methods and data
Destructors
Conclusion


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