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Elevate Academy is recognized as a leading institution in Python programming education. Our comprehensive course is designed to help learners develop, optimize, and apply Python in practical, real-world scenarios. Whether you’re starting from scratch or looking to upgrade your skills, our expert-led training ensures you gain the confidence and expertise to build powerful Python applications.
This course is part of Elevate Academy’s top-rated training portfolio—trusted by global companies to enhance their teams’ technical capabilities and upskill professionals in Python development.
The Core & Advanced Python Programmer course at Elevate Academy provides learners with the skills to master one of the most versatile and in-demand programming languages in today’s technology landscape. This program is ideal for those looking to enter or grow in the fields of software development, data science, or automation. With the guidance of experienced instructors, learners will explore both foundational and advanced Python concepts, including web development, data analysis, and machine learning. By the end of the course, students will be equipped with the practical knowledge needed to solve real-world problems using Python and confidently build robust applications across various domains.
This course is designed to help learners gain comprehensive expertise in Python programming. Participants will begin by understanding the basics of Python and progress into advanced areas such as data analysis, machine learning, data visualization, web scraping, and natural language processing (NLP). Through hands-on training and industry-relevant assignments, students will learn how to develop powerful applications and analytical tools using Python’s rich ecosystem of libraries and frameworks.
Introduction To Script
What is Script, program?
Types of Scripts
Difference between Script and Programming Languages
Features and Limitation of Scripting
Types of programming Language Paradigms
Introduction To Python
What is Python?
Why Python?
Who Uses Python?
Characteristics of Python
What is PSF?
History of Python
Python Versions
How to Download and Install Python
Install Python with Diff IDEs
Features and Limitations of Python
Creating Your First Python Program Python Applications
Printing to the Screen
Reading Keyboard Input
Using Command Prompt and GUI or IDE
Python Distributions
Different Modes In Python
Execute the Script
Interactive and Script Mode
Python File Extensions
SETTING PATH IN Windows
Clear screen inside python
Learn Python Main Function
Python Comments
Quit the Python Shell
Shell as a Simple Calculator
Order of operations
Multiline Statements
Quotations in Python
Python Path Testing
Joining two lines
Python Implementation Alternatives
Sub Packages in Python
Uses of Python in Data Science, IoT
Working with Python in Unix/Linux/Windows/Mac/Android..!!
Python New IDEs
PyCharm IDE
How to Work on PyCharm PyCharm Components
Debugging process in PyCharm PYTHON Install Anaconda
What is Anaconda? Coding Environments
Spyder Components General Spyder Features
Spyder Shortcut Keys
Jupyter Notebook
What is Conda? And Conda List?
Jupyter and Kernels
What is PIP?
Variables in Python
What is Variable?
Variables and Constants in Python
Variable, Variable names and Value
Mnemonic Variable Names Values and Types
What Does "Type" Mean?
Multiple Assignment
Python different numerical types Standard Data Types
Operators and Operands
Order of Operations Swap variables
Python Mathematics Type Conversion
Mutable Versus Immutable Objects
Python Datatypes
What is a data type?
Types of Data types
Numbers
List
Tuple
Strings
Dictionary
Sets
List
Lists are mutable
Getting to Lists
List indices
Traversing a list
List operations, slices and methods
Map, filter and reduce
Deleting elements
Lists and strings
Tuples
Advantages of Tuple over List
Packing and Unpacking Comparing tuples
Creating nested tuple Using tuples as keys in dictionaries
Deleting Tuples Slicing of Tuple
Tuple Membership Test Built-in functions with Tuple
Dictionary
How to create a dictionary?
PYTHON HASHING? Python Dictionary Methods
Copying dictionary Updating Dictionary
Delete Keys from the dictionary Dictionary items() Method
Sorting the Dictionary Python Dictionary in-built Functions
Dictionary len() Method
Variable Types Python List cmp() Method
Dictionary Str(dict)
Set
How to create a set?
Iteration Over Sets Python Set Methods
Python Set Operations Union of sets
Built-in Functions with Set
Python Frozenset
Strings
What is string?
String operations and indices Basic String Operations
String Functions, Methods
Delete a string
String Multiplication and concatenation
Python Keywords, Identifiers and Literals
String Formatting Operator
Structuring with indentation in Python
Built-in String Methods
Python Operators
Arithmetic, Relational Operators and Comparison Operators
Python Assignment Operators Short hand Assignment Operators
Logical Operators or Bitwise Operators Membership Operators
Identity Operators Operator precedence
Evaluating Expressions
Python Conditional Statements
How to use "if condition" in conditional structures
if statement (One-Way Decisions)
if.. else statement (Two-way Decisions)
How to use "else condition"
if.. elif .. else statement (Multi-way)
When "else condition" does not work
How to use "elif” condition
How to execute conditional statement with minimal code
Nested IF Statement
Operators
What is an operator?
Different type of operators
Arithmetic Operators
Assignment operator
Unary minus operator
Relational operators
Logical operators
Membership operators
Identity operators
Python LOOPS
How to use "While Loop" and "For Loop"
How to use For Loop for set of other things besides numbers
Break statements, Continue statement, Enumerate function for For Loop
Practical Example How to use for loop to repeat the same statement over and again
Break, continue statements
What is a function?
How to define and call a function in Python
Types of Functions
Significance of Indentation (Space) in Python
How Function Return Value?
Types of Arguments in Functions
Default Arguments and Non-Default Arguments
Keyword Argument and Non-keyword Arguments
Arbitrary Arguments
Rules to define a function in Python
Various Forms of Function Arguments
Scope and Lifetime of variables
Nested Functions
Call By Value, Call by Reference
Anonymous Functions/Lambda functions
Passing functions to function
map(), filter(), reduce() functions
What is a Docstring?
Lambda Operator, Filter, Reduce, and Map
Lambda function
Filter function
Reduce function
Map function
List Comprehension
Introduction
Generator Comprehension
Set Comprehension
Modules
Importing module
Math module
Random module
Packages
Composition
Input-Output
Printing on screen
Reading data from keyboard
Opening and closing file
Reading and writing files
Functions
Exception Handling
Exception
Exception Handling
Except clause
Try...finally clause
User Defined Exceptions
Regular Expressions
Match function
Search function
Matching VS Searching
Modifiers
Patterns
Packages
Predefined Packages
User Defined
Packages File Handling
Text Files
Binary Files
Zip and Unzip Files
Pickling
Unpickling
Reading Program from another Program In Command Prompt
File Handling
Python File Handling
Python Read Files
Python Write/Create Files
Python Delete Files
Constructor
What are Constructors
Is constructor mandatory in Python?
Can a constructor be called explicitly?
How many parameters can constructor have?
Parameterized and Non-Parameterized Constructors in Python
Difference between a method and constructor in Python
Difference between a method and a function
Types of Class Variables
Types of Class Variables
Instance Variables
Where instance variables can be declared?
Accessing instance variables
Static Variables
Declaring static variables
Accessing a static variable
Local Variables
Types of Class Method
Types of Methods in a Class
Instance Methods
Setter and Getter methods
Class Methods
Static Methods
Nested Classes
Garbage Collection
Super function
Super() Function in Python
Which scenarios super() function is required?
Different Approaches for calling method of a specific super class.
Different cases for super() function
Polymorphism
Polymorphism
Types of Polymorphism
Overloading
Operator Overloading
Method Overloading
How we can handle overloaded method requirements
Constructor Overloading
Overriding
Method Overriding
Constructor Overriding
Abstract Classes
What is an Abstract Class in Python?
Types of Methods in Python based on the Implementation
How to declare an abstract method in Python
Abstract Classes in Python
Exception Handling
Types of Error
Syntax and Runtime Errors
What is an Exception?
Exception Handling in Python
Finally Block
Why do we need Finally Block?
Finally Block in Python
Why not 'try except' block for clean-up activities?
Different control flow cases of try except finally in Python
Nested try-except-finally blocks
Nested try-except-finally blocks in Python
Different cases and scenarios
Else Block in Python
Possible Combinations with try-except-else-finally
Files
What is a File?
Types of Files
File Modes
Opening and Closing a File
Properties of File Object
Writing data to a File
Reading data From a File
With Keyword
Introduction
What is Multitasking?
Process based and Thread based Multitasking
Applications of Multithreading
How to implement Multithreading?
Different Ways to Create a Thread
Creating a Thread using Thread class
Creating a Thread class by inheriting Thread class
Methods of Thread Class
active_count()
enumerate()
isAlive()
join()
join(seconds)
Synchronization
Synchronization
How to implement synchronization?
Synchronization By using Lock concept
Synchronization By using RLock concept
Difference between Lock and RLock
Synchronization by using Semaphore
Bounded Semaphore
Inter Thread Communication
What is Inter Thread communication?
Inter Thread communication by using Event Objects
Inter Thread communication by using Condition Object
Inter Thread communication by using Queue in Python
Types of Queues
FIFO Queue
LIFO Queue
Priority Queue
Python XML Parser
What is XML?
Difference between XML and HTML and XML, JSON, Gson
How to Parse XML and Create XML Node www
Python vs JAVA
XML and HTML
Python-Database Communication
What is Database?
Types of Databases?
What is DBMS?, RDBMS?
What is Big Data?
Types of data?
Oracle MySQL
SQL server
DB2
Postgres SQL Executing the Queries
Bind Variables Installing of Oracle Python Modules
Unit Testing with PyUnit
What is testing?
Types of Testing and Methods?
What is Unit Testing?
What is PyUnit?
Test scenarios, Test Cases, Test suites
Networking
Socket
Socket Module
Methods
Client and server
Internet modules
Numpy
Introduction to numpy
Creating arrays o Indexing Arrays
Array Transposition
Universal Array Function
Array Processing
Array Input and Output
Pandas
What are pandas?
Where it is used?
Series in pandas
Index objects
Reindex
Drop Entry
Selecting Entries
Data Alignment
Rank and Sort
Summary Statics
Index Hierarchy
Matplotlib
Data Visualization
Python for Data Visualization
Welcome to the Data Visualization Section
Introduction to Matplotlib
Data Science
What is Data Science?
Data Science Life Cycle?
What is Data Analysis, Data Mining?
Analytics vs Data Science
Internet of Things
IMPACT OF THE INTERNET
What is IOT
History of IoT
What is Network, Protocol, smart?
How IoT Works?
The Future of IoT
Build a strong foundation in Python programming by mastering core concepts such as syntax, data types, functions, and control structures to create reliable and efficient applications.
Enhance your programming expertise by exploring advanced Python concepts including multithreading, decorators, and robust error handling techniques.
Develop a deep understanding of object-oriented programming (OOP) in Python, focusing on key principles like classes, objects, inheritance, and polymorphism for modular and scalable code.
Utilize powerful libraries such as NumPy and Pandas to perform data manipulation, analysis, and visualization—essential skills for data-driven development.
Gain hands-on experience in developing dynamic web applications using leading Python frameworks like Django and Flask, enabling full-stack development capabilities.
Apply your skills by working with machine learning and artificial intelligence algorithms using widely adopted libraries such as Scikit-learn and TensorFlow, preparing you for real-world tech applications.
June 13, 2025In today’s fast-paced digital world, the demand for skilled software professionals is higher than ever. Whether you’re a student aiming…
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