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Chennai’s First-class Python Certification Course training trained by Certified Python expert.
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60+ Hours of Hands-on laboratory - 40+ case history and work - 24/7 help - 100% Placement Assurance
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- 100% Exam Pass Guarantee
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You will acquire a strong nitty-gritty in Python
You will be a master of Python very quickly. We have highly experienced trainers who will teach you the techniques of Python. We will have a personalized discussion with you to determine your requirement. We will perform labs and offer you with the tutorials.
Practical skills. Real-world labs.
Study to code at your own speed: Tecacademy integrates gamification, contextual training and lab time. Practice what you have grasped in our labs and get faster and better results. No more failing to understand or recall content ... or forgetting what you have grasped. Have the self-confidence you're heading in the ideal way.
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Why You Join A Student with TEC Academy for Python program.
Master from Python professionals.
Our coaches are genuine Python experts working with IT companies daily and are certified Python experts. They'll share their years of experience in training programs and prepare you with the skills and knowledge you need to end up being a Python professional.
We tailor the Python course syllabus based on your goals.
At TecAcademy, we know that every student is different and has unique needs regarding their study. That's why we offer a customized syllabus for each of our students, based on their specific needs. Whether you're struggling with a specific topic or seeking to get ahead of the curve, we can tailor a learning strategy that's ideal for you. With our tailored syllabus, you'll get the individualized attention and assistance you need to reach your academic goals. Contact us today to get more information!
We have a flexible timings for Corporate/Group Python Training.
We provide open timings for group training to guarantee that everybody can participate. Whether you're a morning person or a night owl, we have a time slot that will work for you. We also offer different days of the week to accommodate different schedules. Our group training is perfect for getting in shape and having a good time. Simply contact us to know more.
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The content that you discover within this Python training program
PYTHON TRAINING COURSE CONTENT
SECTION 1: INTRODUCTION
➢ What’s python?
➢ Why do people use python?
➢ Some quotable quotes
➢ A python history lesson
➢ Advocacy news
➢ What’s python good for?
➢ What’s python not good for?
➢ The compulsory features list
➢ Python portability
➢ On apples and oranges
➢ Summary: why python?
SECTION 2: USING THE INTERPRETER AND TEXT EDITOR
➢ Introduction to Sublime & Pycharm
➢ Config Pycharm for Python Project
➢ How Python Runs Programs
➢ How You Run Programs
➢ Configuration Details
➢ Module Files: A First Look
➢ The Idle Interface
➢ Other Python Ides
➢ Time To Start Coding
➢ Lab Session 1
➢ A First Pass
➢ The ‘Big Picture’
➢ Numbers
➢ Dynamic Typing Interlude
➢ Strings
➢ Lists
➢ Dictionaries
➢ Tuples
➢ General Object Properties
➢ Mutable vs Immutable
➢ Summary: Python’s Type Hierarchies
➢ Built-In Type Gotchas
➢ Lab Session 2
➢ Introduction to Reserved Keywords
➢ General Syntax Concepts
➢ Expressions
➢ If Selections
➢ Python Syntax Rules
➢ Documentation Sources Interlude
➢ Truth Tests
➢ While Loops
➢ Break, Continue, Pass, And The Loop Else
➢ For Loops
➢ Comprehensions And Iterations
➢ Loop Coding Techniques
➢ Comprehensive Loop Examples
➢ Basic Coding Gotchas
➢ Preview: Program Unit Statements
➢ Lab Session 3
➢ Function Basics
➢ Scope Rules In Functions
➢ More On “Global” (And “Nonlocal”)
➢ More On “Return”
➢ More On Argument Passing
➢ Special Argument Matching Modes
➢ Odds And Ends
➢ Generator Expressions And Functions
➢ Function Design Concepts
➢ Functions Are Objects: Indirect Calls
➢ Function Gotchas
➢ Optional Case Study: Set Functions
➢ Lab Session 4
➢ Module Basics
➢ Module Files Are A Namespace
➢ Name Qualification
➢ Import Variants
➢ Reloading Modules
➢ Package Imports
➢ Odds And Ends
➢ Module Design Concepts
➢ Modules Are Objects: Metaprograms
➢ Module Gotchas
➢ Optional Case Study: A Shared Stack Module
➢ Lab Session 5
➢ Oop: The Big Picture
➢ Class Basics
➢ A More Realistic Example
➢ Using The Class Statement
➢ Using Class Methods
➢ Customization Via Inheritance
➢ Specializing Inherited Methods
➢ Operator Overloading In Classes
➢ Namespace Rules: The Whole Story
➢ Oop Examples: Inheritance And Composition
➢ Classes And Methods Are Objects
➢ Odds And Ends
➢ New Style Classes
➢ Class Gotchas
➢ Optional Case Study: A Set Class
➢ Summary: Oop In Python
➢ Lab Session 6
➢ Exception Basics
➢ First Examples
➢ Exception Idioms
➢ Exception Catching Modes
➢ Class Exceptions
➢ Exception Gotchas
➢ Lab Session 7
➢ The Secret Handshake
➢ Debugging Options
➢ Inspecting Name-Spaces
➢ Dynamic Coding Tools
➢ Timing And Profiling Python Programs
➢ File Types And Packaging Options
➢ Development Tools For Larger Projects
➢ Summary: Python Tool-Set Layers
➢ Lab Session 7 Continued
➢ System Modules Overview
➢ Running Shell Commands
➢ Arguments, Streams, Shell Variables
➢ File Tools
➢ Directory Tools
➢ Forking Processes
➢ Thread Modules And Queues
➢ The Subprocess And Multiprocessing Modules
➢ Ipc Tools: Pipes, Sockets, Signals
➢ Fork Versis Spawnv
➢ Larger Examples
➢ Lab Session 8
➢ Python Gui Options
➢ Introduction of Tkinter
➢ The Tkinter ‘Hello World’ Program
➢ Adding Buttons, Frames, And Callbacks
➢ Getting Input From A User
➢ Assorted Tkinter Details
➢ Building Guis By Subclassing Frames
➢ Reusing Guis By Subclassing And Attaching
➢ Advanced Widgets: Images, Grids, And More
➢ Designing UI using QT4 Designer
➢ Introduction to PySide2
➢ Converting UI into Application Using PySide
➢ Larger Examples
➢ Tkinter Odds And Ends
➢ Lab Session 8 Continued
➢ Databases and Persistence
➢ Object Persistence: Shelves
➢ Storing Class Instances
➢ Pickling Objects Without Shelves
➢ Using Simple Dbm Files
➢ Shelve Gotchas
➢ Zodb Object-Oriented Database
➢ Python Sql Database Api
➢ Persistence Odds And Ends
➢ Lab Session 9
➢ String Objects: Review
➢ Splitting And Joining Strings
➢ Regular Expressions
➢ Parsing Languages
➢ Regular Expressions
➢ Lab Session 10
➢ Using Sockets In Python
➢ The Ftp Module
➢ Email Processing
➢ Other Client-Side Tools
➢ Building Web Sites With Python
➢ Writing Server-Side Cgi Scripts
➢ Jython: Python For Java Systems
➢ Active Scripting And Com
➢ Other Internet-Related Tools
➢ Lab Session 10
➢ Unicode Text And Binary Data
➢ Managed Attributes
➢ Decorators
➢ Metaclasses
➢ Context Managers
➢ Python 3.X Changes
➢ Lab Session 13
➢ Lab 1: Using The Interpreter
➢ Lab 2: Types And Operators
➢ Lab 3: Basic Statements
➢ Lab 4: Functions
➢ Lab 5: Modules
➢ Lab 6: Classes
➢ Lab 7: Exceptions And Built-In Tools
➢ Lab 8: System Interfaces And Guis
➢ Lab 9: Persistence
➢ Lab 10: Text Processing And The Internet
➢ Lab 11: Decorators And Metaclasses
Do you want full course syllabus? or Do you want to custom Python course syllabus?
60+ Hours of Hands-on laboratory - 40+ case history and work - 24/7 help - 100% Placement Assurance
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