Nex-G Innovations

The objective of the Python Programming Training is to provide participants with a strong foundation in Python, covering core concepts, syntax, and data structures, along with practical skills to write efficient and reusable code. Through hands-on projects and real-world examples, participants will gain the confidence to solve complex problems and prepare for Python certification exams, equipping them to excel in various domains leveraging Python's versatility.

After developing basic Python programming skills, learners can further enhance their skills to develop applications for data analysis, web development, and automation using popular Python libraries such as NumPy, Pandas, and Flask.

+91-8826900551

Code: NES_SK_320

Duration: 40 Hrs / 4 Weeks / Customized

Mode: Corporate (Instructor Led - Online / Offline / Onsite), Individual (Instructor Led - Online / Offline)

Module 1 - An Overview of Python

• An Overview of Python
• Interpreted languages
• Advantages and disadvantages
• Downloading and installing
• Which version of Python
• Where to find documentation

Module 2 - Running Python Scripts

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

Module 3 - 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

Module 4 - Flow Control

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

Module 5 - Sequence Data

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

Module 6 - Defining Functions

• Syntax of function definition
• Formal parameters
• Global versus local variables
• Passing parameters and returning values

Module 7 - 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

Module 8 - Dictionaries and Sets

• Dictionary overview
• Creating dictionaries
• Dictionary functions
• Fetching keys or values
• Testing for existence of elements
• Deleting elements

Module 9 - Errors and Exception Handling

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

Module 10 - Using Modules

• What is a module?
• The import statement
• Function aliases
• Packages

Module 11 - Regular Expressions

• RE Objects
• Pattern matching
• Parsing data
• Subexpressions
• Complex substitutions
• RE tips and tricks

Module 12 - 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

Module 13 - An Introduction to Python Classes

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

Module 14 - Sample Project