python online training from India hyd | 100% realtime Phoenix AZ

Python hands-on Online Training, Job Support and Interview Support , Corporate training Python course covers Python programming language. This Python Course causes you to write and execute code in Python. Our content is a perfect thanks to begin, whether or not you’re new to programming or a professional developer., etc. you may conjointly get an exposure to industry based mostly real-time projects in varied domains. FOR FREE DEMO contact : Email : raj@apex-online-it-training.com Phone/WhatsApp : +91-(850) 012-2107 USA Number : 214-628-3894 Gtalk : raavi.sriraja@gmail.com Blog: https://best-online-it-training-institute.blogspot.com Python Interview Queries and Answers, Recorded Video Sessions, Materials, Interviews,Assignments Will be given PYTHON COURSE Agenda (the course curriculum can be modified as per client requirements): INTRODUCTION TO PYTHON • Features of Python • Python Virtual Machine (PVM) • Frozen Binaries • Memory Management in Python • Garbage Collection in Python Writing Our First Python Program • Writing Our First Python Program • Executing a Python Program • Getting Help in Python • Reopening the Python Program in IDLE Datatypes in Python • Comments in Python • Docstrings • How Python Sees Variables • Datatypes in Python • Built-in datatypes • The None Type • bool Datatype • Sequences in Python • Sets • Literals in Python • Determining the Datatype of a Variable • Characters in Python • User-defined Datatypes • Constants in Python • Identifiers and Reserved words • Naming Conventions in Python Operators in Python • Arithmetic Operators • Using Python Interpreter as Calculator • Assignment Operators • Unary minus Operator • Relational Operators • Logical Operators • Boolean Operators • Membership Operators • Identity Operators • Operator Precedence and Associativity • Mathematical Functions Input and Output • Output statements • Various formats of The print() • Input Statements • Command Line Arguments Control Statements • If Statement • If … else Statement • If … elif … else Statement • While Loop • For Loop • Infinite Loops • Nested Loops • Else Suite • Break Statement • Continue Statement • Pass Statement • Assert Statement • Return Statement Arrays in Python • Creating an Array • Importing the Array Module • Indexing and Slicing on Arrays • Types of Arrays • Working with Arrays using numpy • Creating Arrays using linspace • Creating Arrays using logspace • Creating Arrays using arange() Function • Creating Arrays using zeros() and ones() Functions • Mathematical Operations on Arrays • Comparing Arrays • Aliasing the Arrays • Viewing and Copying Arrays • Slicing and Indexing in numpy Arrays • Dimensions of Arrays • Attributes of an Array • Reshape() Method • Flatten() Method • Working with Multi-dimensional Arrays • The array() Function • The ones() and zeros() Functions • The eye() Function • The reshape() Function • Indexing in Multi-dimensional Arrays • Slicing the Multi-dimensional Arrays • Matrices in numpy Strings and Characters • Creating Strings • Length of a String • Indexing in Strings • Repeating the Strings • Concatenation of Strings • Checking Membership • Comparing Strings • Removing Spaces from a String • Finding Sub Strings • Strings are Immutable • Replacing a String with another String • Splitting and Joining Strings • Changing Case of a String • Checking Starting and Ending of a String • String Testing Methods • Formatting the Strings • Sorting Strings Functions • Defining a Function • Calling a Function • Returning Results from a Function • Returning Multiple Values from a Function • Functions are First Class Objects • Pass by Object Reference • Formal and Actual Arguments • Positional Arguments • Default Arguments • Variable Length Arguments • Local and Global Variables • The Global Keyword • Passing a Group of Elements to a Function • Recursive Functions • Lambdas • Using Lambdas with filter() Function • Using Lambdas with map() Function • Using Lambdas with reduce() Function • Function Decorators • Generators • Structured Programming • Creating our Own Modules in Python • The Special Variable __name__ Lists and Tuples • Creating Lists using range() Function • Updating the Elements of a List • Concatenation of Two Lists • Repetition of Lists • Membership in Lists • Aliasing and Cloning Lists • Methods to Process Lists • Nested Lists • List Comprehensions • Tuples • Creating Tuples • Accessing the Tuple Elements • Basic Operations on Tuples • Functions to Process Tuples • Nested Tuples Dictionaries • Operations on Dictionaries • Dictionary Methods • Using for Loop with Dictionaries • Sorting the Elements of a Dictionary using Lambdas • Converting Lists into Dictionary • Converting Strings into Dictionary • Ordered Dictionaries Advanced Python Contents Introduction to Oops • Problems in Procedure Oriented Approach • Features of Object Oriented Programming System (OOPS) • Classes and Objects • Encapsulation • Abstraction • Inheritance • Polymorphism Classes and Objects • Self Variable • Constructor • Types of Variables • Namespaces • Types of Methods • Passing Members of One Class to Another Class • Inner Classes Inheritance and Polymorphism • Constructors in Inheritance • Overriding Super Class Constructors and Methods • Super() Method • Types of Inheritance • Method Resolution Order (MRO • Duck Typing Philosophy of Python • Operator Overloading • Method Overloading • Method Overriding Abstract Classes and Interfaces • Abstract Method and Abstract Class • Interfaces in Python • Abstract Classes vs. Interfaces Exceptions • Errors in a Python Program • Exceptions • Exception Handling • Types of Exceptions • The Except Block • Assert Statement • User-Defined Exceptions • Logging the Exceptions Files in Python • Types of Files in Python • Working with Text Files Containing Strings • Knowing Whether a File Exists or Not • Working with Binary Files • Pickle in Python • Seek() and tell() Methods • Random Accessing of Binary Files • Random Accessing of Binary Files using mmap • Zipping and Unzipping Files • Running Other Programs from Python Program Regular Expressions in Python • Sequence Characters in Regular Expressions • Quantifiers in Regular Expressions • Special Characters in Regular Expressions • Using Regular Expressions on Files • Retrieving Information from a HTML File Date and Time • The epoch • Date and Time Now • Combining Date and Time • Formatting Dates and Times • Finding Durations using timedelta • Comparing Two Dates • Sorting Dates • Stopping Execution Temporarily • Knowing the Time taken by a Program • Working with Calendar Module Threads • Differences between a Process and a Thread • Concurrent Programming and GIL • Uses of Threads • Creating Threads in Python • Thread Class Methods • Single Tasking using a Thread • Multitasking using Multiple Threads • Thread Synchronization • Avoiding Deadlocks in a Program • Communication between Threads • Thread Communication using nofity() and wait() Methods • Thread Communication using a Queue • Daemon Threads Graphical User Interface • GUI in Python • The Root Window • Fonts and Colors • Working with Containers • Canvas • Frame • Widgets • Button Widget • Label Widget • Message Widget • Text Widget • Scrollbar Widget • Checkbutton Widget • Radiobutton Widget • Entry Widget • Spinbox Widget • Listbox Widget • Menu Widget Python’s Database Connectivity • Advantages of a DBMS over Files • Working with MySQL Database • Operations on rows of a Table • Creating Database Tables through Python • Working with Oracle Database in Python • Stored Procedures

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