Python Online Training

Python is a programming language that is commonly used to create websites and applications, automate operations, and perform data analysis. Python is a general-purpose programming language, which means it can be used to develop a wide range of applications and isn’t tailored to any particular problem. Because of its versatility and beginner-friendliness, it has become one of the most widely used programming languages today. Python has been used by many non-programmers, such as accountants and scientists, for a variety of common tasks, such as arranging finances, due to its relative ease of learning. SMART LEARN IT Python training is suitable for beginners, intermediate learners as well as Python experts. Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience. The trainers will assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop. Over the course duration, interact with the instructors in real-time, that is, listen, learn, interact, question, and apply. Become a certified Python professional by enrolling in our Python certification training from the expert mentors in the industry…

• To apply for the Python Training Certification, you need to either:
• You do not need to have particular skills to attend Programming training. However, possessing problem solving skills like critical thinking, logical reasoning and attention to detail will be an added advantage.

We guarantee learning at your convenience & pace.

• Instant Access:
  Get instant access to self-paced training after signup.
• Streaming video recording:
  Watch lessons any time at your schedule, free recording.
• Exercises:
  Practical exercises help you test what you are learning as you go.
• Free Demo:
  Sign up for free demo to check whether the course is right for you and interact with the faculty live.
• Experienced Trainers:
  We only hire the industry’s best trainers
• Live free interactive web sessions:
  Ask the Expert Shell Scripting trainers about the career prospects and clarify your questions any time after you complete the course.
• Structured Curriculum Schedule:
  Progress with your complete daily interactive lessons and assignments.
• Faculty Mentoring:
  Turn in daily and weekly homework for personalized feedback from faculty.
• Virtual Office Hours:
  Live interaction with the faculty and other students around the world.
• Hands on Live Projects:
  Work on live lab sessions to tackle real-world projects. Get 100% faculty guidance and ratings.

Python Online Training

Module 1: An Introduction to Python

• What can Python do?
• Why Python?
• Good to know
• Python Syntax compared to other programming languages
• Python Install

Module 2: Beginning Python Basics

• The print statement
• Comments
• Python Data Structures & Data Types
• String Operations in Python
• Simple Input & Output
• Simple Output Formatting
• Operators in python

Module 3: Python Program Flow

• Indentation
• The If statement and its’ related statement
• An example with if and it’s a related statement
• The while loop
• The for loop
• The range statement
• Break &Continue
• Assert
• Examples for looping

Module 4: Functions& Modules

• Create your own functions
• Functions Parameters
• Variable Arguments
• Scope of a Function
• Function Documentation
• Lambda Functions& map
• n Exercise with functions
• Create a Module
• Standard Modules

Module 5: Exceptions Handling

• Errors
• Exception handling with try
• handling Multiple Exceptions
• Writing your own Exception

Module 6: File Handling

• File handling Modes
• Reading Files
• Writing& Appending to Files
• Handling File Exceptions
• The with statement

Module 7: Classes In Python

• New Style Classes
• Creating Classes
• Instance Methods
• Inheritance
• Polymorphism
• Exception Classes & Custom Exceptions

Module 8: Generators and iterators

• Iterators
• Generators
• The Functions any and all
• With Statement
• Data Compression

Module 9: Data Structures

• List Comprehensions
• Nested List Comprehensions
• Dictionary Comprehensions
• Functions
• Default Parameters
• Variable Arguments
• Specialized Sorts

Module 10: Collections

• namedtuple()
• deque
• ChainMap
• Counter
• OrderedDict
• default dict
• UserDict
• UserList
• user string

ADVANCE PYTHON

Module 11: Writing GUIs in Python (Tkinter)

• Introduction
• Components and Events
• An Example GUI
• The root Component
• Adding a Button
• Entry Widgets
• Text Widgets
• Check buttons

Module 12: Python SQL Database Access

• Introduction
• Installation
• DB Connection
• Creating DB Table
• INSERT, READ, UPDATE, DELETE operations
• COMMIT & ROLLBACK operation
• handling Errors

Module 13:Network Programming

• Introduction
• A Daytime Server
• Clients and Servers
• The Client Program
• The Server Program

Module 14: Date and Time

• sleep
• Program execution time
• more methods on date/time

Module 15: Few more topics in-detailed

• Filter
• Map
• Reduce
• Decorators
• Frozen set
• Collections

Regular expression

• Split
• Working with special characters, date, emails
• Quantifiers
• Match and find all
• character sequence and substitute
• Search method

Module 17: Threads ESSENTIAL

• Class and threads
• Multi-threading
• Synchronization
• Treads Life cycle
• use cases

Module 18: Accessing API ESSENTIAL

• Introduction
• Facebook Messenger