The document details a Python 3 and advanced Python 3 course offered by MyTectra, specifying various course durations, training modes, and contact information. It outlines the curriculum that covers foundational to advanced topics, including Python syntax, data structures, functions, classes, and network programming. Additionally, MyTectra positions itself as a leading global learning solutions company, providing extensive training across technologies and professional skills.

1. Course Details:
Course Code –MYT1123 – Python 3 and Advanced Python 3
Course duration: Regular - 1 Months / Week End-5 Weeks / Fast Track – 2 Weeks
Training mode: Instructor led Class training | Live Online Training
Study material : Provided in the form of Books
Weekend, weekday, Super Fast track, fast track & normal training can be provided
Contact: +91 90191 91856
Email: info@mytectra.com
Web: www.mytectra.com
About myTectra:
“myTectra a global learning solutions company helps transform people and organization to gain real,
lasting benefits “
myTectra provides training across the technologies and functions using time tested delivery mode such
as class room training , virtual training , send me a trainer , trainer connect .We are now one of the
largest online training company and expanding our class room training across multiple cities.
Join myTectra! Explore world of possibilities in learning and acquiring professional Skills across domains
and technologies irrespective of what kind of functional or technical background your
are from..

2. CHAPTER 1: AN INTRODUCTION TO PYTHON
 INTRODUCTORY REMARKS ABOUT PYTHON
 STRENGTHS ANDWEAKNESSES
 A BRIEF HISTORY OF PYTHON
 PYTHON VERSIONS
 INSTALLING PYTHON
 ENVIRONMENT VARIABLES
 EXECUTING PYTHON FROM THE COMMAND LINE
 IDLE
 EDITING PYTHON FILES
 GETTING HELP
 DYNAMIC TYPES
 PYTHON RESERVEDWORDS
 NAMING CONVENTIONS
 LANGUAGE EVOLUTION
 PYTHON RESERVEDWORDS AND OTHER RULES
 DOCUMENTATION
 THE STRING CLASS
 VARIABLES
 DATATYPES
 BOOLEAN AND NUMERIC TYPES
 STRINGS
 LISTS AND TUPLES
 SETS
 SEQUENCES
 LOOPING THROUGH SEQUENCES
 DICTIONARIES
 BIT VARIABLES
 MODULES
 READING FILES
 SOME FILE TESTS
CHAPTER 2: BASIC PYTHON SYNTAX
 INTRODUCTION
 BASIC SYNTAX
 COMMENTS
 STRING VALUES
 STRING OPERATIONS
 THE FORMAT METHOD
 STRING SLICES
 STRING OPERATORS
 NUMERIC DATA TYPES
 CONVERSIONS
 SIMPLE INPUT AND OUTPUT
 THE PRINT FUNCTION

3. CHAPTER 3: LANGUAGE COMPONENTS
 INTRODUCTION
 CONTROL FLOW AND SYNTAX
 INDENTING
 THE IF STATEMENT
 RELATIONAL OPERATORS
 LOGICAL OPERATORS
 TRUE OR FALSE
 BIT WISE OPERATORS
 THE WHILE LOOP
 BREAK AND CONTINUE
 THE FOR LOOP
CHAPTER 4: COLLECTIONS
 INTRODUCTION
 LISTS
 TUPLES
 SETS
 DICTIONARIES
 SORTING DICTIONARIES
 COPYING COLLECTIONS
 SUMMARY
CHAPTER 5: FUNCTIONS
 INTRODUCTION
 DEFINING YOUR OWN FUNCTIONS
 PARAMETERS
 FUNCTION DOCUMENTATION
 KEYWORD AND OPTIONAL PARAMETERS
 PASSING COLLECTIONS TO A FUNCTION
 VARIABLE NUMBER OF ARGUMENTS
 SCOPE
 FUNCTIONS -
 PASSING FUNCTIONS TO A FUNCTION
 MAPPING FUNCTIONS IN A DICTIONARY
 LAMBDA
 CLOSURES

4. CHAPTER 6: MODULES
 MODULES
 STANDARD MODULES - SYS
 STANDARD MODULES - MATH
 STANDARD MODULES - TIME
 THE DIR FUNCTION
CHAPTER 7: EXCEPTIONS
 ERRORS
 RUN TIME ERRORS
 THE EXCEPTION MODEL
 EXCEPTION HIERARCHY
 HANDLING MULTIPLE EXCEPTIONS
 RAISE
 ASSERT
 WRITING YOUR OWN EXCEPTION CLASSES
CHAPTER 8: INPUT AND OUTPUT
 INTRODUCTION
 DATA STREAMS
 CREATING YOUR OWN DATA STREAMS
 ACCESS MODES
 WRITING DATA TO A FILE
 READING DATA FROM A FILE
 ADDITIONAL FILE METHODS
 USING PIPES AS DATA STREAMS
 HANDLING IO EXCEPTIONS
 WORKING WITH DIRECTORIES
 METADATA
 THE PICKLE MODULE
CHAPTER 9: CLASSES IN PYTHON
 CLASSES IN PYTHON
 PRINCIPLES OF OBJECT ORIENTATION
 CREATING CLASSES
 INSTANCE METHODS
 FILE ORGANIZATION
 SPECIAL METHODS
 CLASS VARIABLES
 INHERITANCE
 POLYMORPHISM
 TYPE IDENTIFICATION
 CUSTOM EXCEPTION CLASSES

5. CHAPTER 10: REGULAR EXPRESSIONS
 INTRODUCTION
 SIMPLE CHARACTER MATCHES
 SPECIAL CHARACTERS
 CHARACTER CLASSES
 QUANTIFIERS
 THE DOT CHARACTER
 GREEDY MATCHES
 GROUPING
 MATCHING AT BEGINNING OR END
 MATCH OBJECTS
 SUBSTITUTING
 SPLITTING A STRING
 COMPILING REGULAR EXPRESSIONS
 FLAGS
CHAPTER 11: DATA STRUCTURES
 RANGE
 LIST COMPREHENSIONS
 NESTED LIST COMPREHENSIONS
 DICTIONARY COMPREHENSIONS
 DICTIONARIES WITH COMPOUND VALUES
 PROCESSING LISTS IN PARALLEL
 FUNCTIONS
 DEFAULT PARAMETERS
 VARIABLE ARGUMENTS
 A DICTIONARY OF DICTIONARIES
 SPECIALIZED SORTS
 THE DEL STATEMENT
 TIME FUNCTIONALITY
 USING GENERATORS
CHAPTER 12: WRITING GUIS IN PYTHON
 INTRODUCTION
 COMPONENTS AND EVENTS
 AN EXAMPLE GUI
 THE ROOT COMPONENT
 ADDING A BUTTON
 ENTRY WIDGETS
 TEXTWIDGETS
 CHECKBUTTONS
 RADIOBUTTONS
 LISTBOXES
 FRAMES
 MENUS
 BINDING EVENTS TO WIDGETS

6. CHAPTER 13: PYTHON AND CGI SCRIPTS
 INTRODUCTION
 HTML
 HTML FORMS
 A GUESTBOOK APPLICATION
 WHAT CAN GO WRONG!
 HTML TABLES
 THE CGI SCRIPT
 RENDERING OF THE SCRIPT
CHAPTER 14: THE OS MODULE
 THE ENVIRONMENT
 LAUNCHING COMMANDS
 CREATING A PROCESS
 DIRECTORY COMMANDS
 OTHER PROCESS METHODS
 FILE INFORMATION (METADATA)
 MISCELLANEOUS OS CALLS
 WALKING THROUGH DIRECTORIES
CHAPTER 15: NETWORK PROGRAMMING
 INTRODUCTION
 A DAYTIME SERVER
 CLIENTS AND SERVERS
 THE CLIENT PROGRAM
 THE SERVER PROGRAM
 RECAP
 AN EVALUATION CLIENT AND SERVER
 THE SERVER PORTION
 A THREADED SERVER
APPENDIX A: WHAT YOU MIGHT NOT ALREADY KNOW
 WHAT IS AN ITERABLE?
 CREATING YOUR OWN ITERATORS
 GENERATORS
 THE FUNCTIONS ANY AND ALL
 THREAD FUNDAMENTALS
 SYNCHRONIZATION
 FORMATTING RECORDS
 SIGNALS
 THE PYTHON DEBUGGER (2.X)
 THE WITH STATEMENT
 DATA COMPRESSION