Core & Advanced Python Programmer Training Course

What the specialist says

If you’re shifting into AI/ML later, this Python foundation makes the jump painless.

Divya Suresh Python & Automation Trainer

Acquire Key Python Skills: Master Programming, Earn Certification, Launch Your Dev Career! DevLustro Academy has established itself as a leader in Python programming, providing a comprehensive program that ensures participants develop, optimize, and utilize Python applications in ways never before imagined. DevLustro Academy has established itself as a leader in Python programming, providing a comprehensive program that ensures participants develop, optimize, and utilize Python applications in ways never before imagined. Course was selected for our collection of top-rated courses trusted by businesses worldwide.

Our Core Highlights

World Class Instructor Mentorship from global experts

1:1 with Industry Expert Personalised coaching tailored to you

Global Hiring Network 400+ hiring partners around the world

Average Salary Hike 55% average hike for our alumni

Course Description

Acquire Key Python Skills: Master Programming, Earn Certification, Launch Your Dev Career! Elysium Academy has established itself as a leader in Python programming, providing a comprehensive program that ensures participants develop, optimize, and utilize Python applications in ways never before imagined. Elysium Academy has established itself as a leader in Python programming, providing a comprehensive program that ensures participants develop, optimize, and utilize Python applications in ways never before imagined. Course was selected for our collection of top-rated courses trusted by businesses worldwide.

Core & Advanced Python Programmer Training Course

Programming Development Course

Course Details

Harness powerful libraries like NumPy and Pandas for data manipulation and analysis.

Visualize data effectively using Matplotlib and Seaborn.

Implement machine learning algorithms with Scikit-learn.

Explore deep learning techniques with TensorFlow.

Python is the foundation that powers diverse applications from web development to data science.

Python programming involves the comprehensive development and optimization of software solutions.

Data Cleaning ensures that the data used for analysis is accurate and relevant.

Python Developers understand coding principles and derive meaningful solutions to complex problems.

Python is the substructure on which advanced technologies like Artificial Intelligence and Machine Learning are built.

Course Goals

Master Python fundamentals, including variables, data types, loops, and functions.
Dive into advanced concepts such as object-oriented programming (OOP) and error handling.

Future Scope of this Course

Industry Based Projects
Recognized worldwide

Our Career Service

Personalized coordinator.
Trainer feedback.
Trainer availability post sessions.
Get your staff certified.
Certificate from governing bodies.

Our Training Program Benefits

Hands on assignment
Curriculum that focuses on the learner.
Live, interactive training by DevLustro experts.
Curriculum aligned with current industry practices.
Portfolio / project support for real-world use.

01Chapter-1 Introduction To Script

01.01What is Script, program?
01.02Types of Scripts
01.03Difference between Script and Programming Languages
01.04Features and Limitation of Scripting
01.05Types of programming Language Paradigms
01.06What is Python?
01.07Why Python?
01.08Who Uses Python?
01.09Characteristics of Python
01.10What is PSF?
01.11History of Python
01.12Python Versions
01.13How to Download and Install Python
01.14Install Python with Diff IDEs
01.15Features and Limitations of Python
01.16Creating Your First Python Program Python Applications
01.17Printing to the Screen
01.18Reading Keyboard Input
01.19Using Command Prompt and GUI or IDE
01.20Python Distributions

02Chapter-2 Different Modes In Python

02.01Execute the Script
02.02Interactive and Script Mode
02.03Python File Extensions
02.04SETTING PATH IN Windows
02.05Clear screen inside python
02.06Learn Python Main Function
02.07Python Comments
02.08Quit the Python Shell
02.09Shell as a Simple Calculator
02.10Order of operations
02.11Multiline Statements
02.12Quotations in Python
02.13Python Path Testing
02.14Joining two lines
02.15Python Implementation Alternatives
02.16Sub Packages in Python
02.17Uses of Python in Data Science, IoT
02.18Working with Python in Unix/Linux/Windows/Mac/Android..!!
02.19PyCharm IDE
02.20How to Work on PyCharm PyCharm Components
02.21Debugging process in PyCharm PYTHON Install Anaconda
02.22What is Anaconda? Coding Environments
02.23Spyder Components General Spyder Features
02.24Spyder Shortcut Keys
02.25Jupyter Notebook
02.26What is Conda? And Conda List?
02.27Jupyter and Kernels
02.28What is PIP?

03Chapter-3 Variables in Python

03.01What is Variable?
03.02Variables and Constants in Python
03.03Variable, Variable names and Value
03.04Mnemonic Variable Names Values and Types
03.05What Does "Type" Mean?
03.06Multiple Assignment
03.07Python different numerical types Standard Data Types
03.08Operators and Operands
03.09Order of Operations Swap variables
03.10Python Mathematics Type Conversion
03.11Mutable Versus Immutable Objects
03.12What is a data type?
03.13Types of Data types
03.14Numbers
03.15List
03.16Tuple
03.17Strings
03.18Dictionary
03.19Sets
03.20Lists are mutable
03.21Getting to Lists
03.22List indices
03.23Traversing a list
03.24List operations, slices and methods
03.25Map, filter and reduce
03.26Deleting elements
03.27Lists and strings
03.28Advantages of Tuple over List
03.29Packing and Unpacking Comparing tuples
03.30Creating nested tuple Using tuples as keys in dictionaries
03.31Deleting Tuples Slicing of Tuple
03.32Tuple Membership Test Built-in functions with Tuple

04Chapter-4 Dictionary

04.01How to create a dictionary?
04.02PYTHON HASHING? Python Dictionary Methods
04.03Copying dictionary Updating Dictionary
04.04Delete Keys from the dictionary Dictionary items() Method
04.05Sorting the Dictionary Python Dictionary in-built Functions
04.06Dictionary len() Method
04.07Variable Types Python List cmp() Method
04.08Dictionary Str(dict)
04.09How to create a set?
04.10Iteration Over Sets Python Set Methods
04.11Python Set Operations Union of sets
04.12Built-in Functions with Set
04.13Python Frozenset
04.14What is string?
04.15String operations and indices Basic String Operations
04.16String Functions, Methods
04.17Delete a string
04.18String Multiplication and concatenation
04.19Python Keywords, Identifiers and Literals
04.20String Formatting Operator
04.21Structuring with indentation in Python
04.22Built-in String Methods

05Chapter-5 Python operators

05.01Arithmetic, Relational Operators and Comparison Operators
05.02Python Assignment Operators Short hand Assignment Operators
05.03Logical Operators or Bitwise Operators Membership Operators
05.04Identity Operators Operator precedence
05.05Evaluating Expressions
05.06How to use "if condition" in conditional structures
05.07if statement (One-Way Decisions)
05.08if.. else statement (Two-way Decisions)
05.09How to use "else condition"
05.10if.. elif .. else statement (Multi-way)
05.11When "else condition" does not work
05.12How to use "elif” condition
05.13How to execute conditional statement with minimal code
05.14Nested IF Statement

06Chapter-6 Operators

06.01What is an operator?
06.02Different type of operators
06.03Arithmetic Operators
06.04Assignment operator
06.05Unary minus operator
06.06Relational operators
06.07Logical operators
06.08Membership operators
06.09Identity operators
06.10How to use "While Loop" and "For Loop"
06.11How to use For Loop for set of other things besides numbers
06.12Break statements, Continue statement, Enumerate function for For Loop
06.13Practical Example How to use for loop to repeat the same statement over and again
06.14Break, continue statements

07Chapter-7 Python Functions

07.01What is a function?
07.02How to define and call a function in Python
07.03Types of Functions
07.04Significance of Indentation (Space) in Python
07.05How Function Return Value?
07.06Types of Arguments in Functions
07.07Default Arguments and Non-Default Arguments
07.08Keyword Argument and Non-keyword Arguments
07.09Arbitrary Arguments
07.10Rules to define a function in Python
07.11Various Forms of Function Arguments
07.12Scope and Lifetime of variables
07.13Nested Functions
07.14Call By Value, Call by Reference
07.15Anonymous Functions/Lambda functions
07.16Passing functions to function
07.17map(), filter(), reduce() functions
07.18What is a Docstring?
07.19Lambda Operator, Filter, Reduce, and Map
07.20Lambda function
07.21Filter function
07.22Reduce function
07.23Map function

08Chapter-8 List Comprehension

08.01Introduction
08.02Generator Comprehension
08.03Set Comprehension
08.04Importing module
08.05Math module
08.06Random module
08.07Packages
08.08Composition
08.09Printing on screen
08.10Reading data from keyboard
08.11Opening and closing file
08.12Reading and writing files
08.13Functions

09Chapter-9 Exception Handling

09.01Exception
09.02Exception Handling
09.03Except clause
09.04Try...finally clause
09.05User Defined Exceptions
09.06Match function
09.07Search function
09.08Matching VS Searching
09.09Modifiers
09.10Patterns

10Chapter-10 Packages

10.01Packages
10.02Predefined Packages
10.03User Defined
10.04Packages File Handling
10.05Text Files
10.06Binary Files
10.07Zip and Unzip Files
10.08Pickling
10.09Unpickling
10.10Reading Program from another Program In Command Prompt
10.11File Handling
10.12Python File Handling
10.13Python Read Files
10.14Python Write/Create Files
10.15Python Delete Files

11Chapter-11 Object Oriented Programming

11.01What are Constructors
11.02Is constructor mandatory in Python?
11.03Can a constructor be called explicitly?
11.04How many parameters can constructor have?
11.05Parameterized and Non-Parameterized Constructors in Python
11.06Difference between a method and constructor in Python
11.07Difference between a method and a function
11.08Types of Class Variables
11.09Instance Variables
11.10Where instance variables can be declared?
11.11Accessing instance variables
11.12Static Variables
11.13Declaring static variables
11.14Accessing a static variable
11.15Local Variables
11.16Types of Methods in a Class
11.17Instance Methods
11.18Setter and Getter methods
11.19Class Methods
11.20Static Methods
11.21Nested Classes
11.22Garbage Collection
11.23Super() Function in Python
11.24Which scenarios super() function is required?
11.25Different Approaches for calling method of a specific super class.
11.26Different cases for super() function
11.27Polymorphism
11.28Types of Polymorphism
11.29Overloading
11.30Operator Overloading
11.31Method Overloading
11.32How we can handle overloaded method requirements
11.33Constructor Overloading
11.34Overriding
11.35Method Overriding
11.36Constructor Overriding
11.37What is an Abstract Class in Python?
11.38Types of Methods in Python based on the Implementation
11.39How to declare an abstract method in Python
11.40Abstract Classes in Python

12Chapter-12 Exception Handling & Files

12.01Exception Handling
12.02Types of Error
12.03Syntax and Runtime Errors
12.04What is an Exception?
12.05Exception Handling in Python
12.06Finally Block
12.07Why do we need Finally Block?
12.08Finally Block in Python
12.09Why not 'try except' block for clean-up activities?
12.10Different control flow cases of try except finally in Python
12.11Nested try-except-finally blocks
12.12Nested try-except-finally blocks in Python
12.13Different cases and scenarios
12.14Else Block in Python
12.15Possible Combinations with try-except-else-finally
12.16Files
12.17What is a File?
12.18Types of Files
12.19File Modes
12.20Opening and Closing a File
12.21Properties of File Object
12.22Writing data to a File
12.23Reading data From a File
12.24With Keyword

13Chapter-13 Multithreading

13.01What is Multitasking?
13.02Process based and Thread based Multitasking
13.03Applications of Multithreading
13.04How to implement Multithreading?
13.05Different Ways to Create a Thread
13.06Creating a Thread using Thread class
13.07Creating a Thread class by inheriting Thread class
13.08active_count()
13.09enumerate()
13.10isAlive()
13.11join()
13.12join(seconds)
13.13Synchronization
13.14How to implement synchronization?
13.15Synchronization By using Lock concept
13.16Synchronization By using RLock concept
13.17Difference between Lock and RLock
13.18Synchronization by using Semaphore
13.19Bounded Semaphore
13.20What is Inter Thread communication?
13.21Inter Thread communication by using Event Objects
13.22Inter Thread communication by using Condition Object
13.23Inter Thread communication by using Queue in Python
13.24Types of Queues
13.25FIFO Queue
13.26LIFO Queue
13.27Priority Queue

14Chapter-14 Base Communication and Networking

14.01What is XML?
14.02Difference between XML and HTML and XML, JSON, Gson
14.03How to Parse XML and Create XML Node www
14.04Python vs JAVA
14.05XML and HTML
14.06What is Database?
14.07Types of Databases?
14.08What is DBMS?, RDBMS?
14.09What is Big Data?
14.10Types of data?
14.11Oracle MySQL
14.12SQL server
14.13Postgres SQL Executing the Queries
14.14Bind Variables Installing of Oracle Python Modules
14.15What is testing?
14.16Types of Testing and Methods?
14.17What is Unit Testing?
14.18What is PyUnit?
14.19Test scenarios, Test Cases, Test suites
14.20Socket
14.21Socket Module
14.22Methods
14.23Client and server
14.24Internet modules

15Chapter-15 Packages

15.01Introduction to numpy
15.02Creating arrays o Indexing Arrays
15.03Array Transposition
15.04Universal Array Function
15.05Array Processing
15.06Array Input and Output
15.07What are pandas?
15.08Where it is used?
15.09Series in pandas
15.10Index objects
15.11Reindex
15.12Drop Entry
15.13Selecting Entries
15.14Data Alignment
15.15Rank and Sort
15.16Summary Statics
15.17Index Hierarchy
15.18Data Visualization
15.19Python for Data Visualization
15.20Welcome to the Data Visualization Section
15.21Introduction to Matplotlib

16Chapter-16 Data Science

16.01What is Data Science?
16.02Data Science Life Cycle?
16.03What is Data Analysis, Data Mining?
16.04Analytics vs Data Science
16.05IMPACT OF THE INTERNET
16.06What is IOT
16.07History of IoT
16.08What is Network, Protocol, smart?
16.09How IoT Works?
16.10The Future of IoT

What is the Core & Advanced Python Programmer Course?

The Core & Advanced Python Programmer Course is designed to teach essential Python programming skills, covering both fundamental and advanced concepts to prepare learners for a career in software development.

Who should enroll in this course?

This course is ideal for beginners new to Python programming, as well as professionals looking to enhance their skills and advance their careers in software development.

What are the prerequisites for this course?

There are no specific prerequisites for this course. A basic understanding of programming concepts and an interest in learning Python will be helpful, but not necessary.

How long does the course take to complete?

The course duration varies depending on the individual’s learning pace. On average, it can be completed in 8-10 weeks with a commitment of a few hours per week.

What will I learn in this course?

You will learn the fundamentals of Python programming, including syntax, data types, control structures, object-oriented programming, advanced topics such as multithreading, data manipulation, and web development.

Is there a certification upon completion?

Yes, upon successful completion of the course, you will receive a certification from DevLustro Academy, recognized worldwide.

Are there any hands-on projects or assignments?

Yes, the course includes hands-on projects and assignments to provide practical experience. These projects are designed to help you apply the concepts learned in real-world scenarios.

Will I have access to the course materials after completion?

Yes, you will have lifetime access to the course materials, allowing you to revisit and review the content whenever needed.

What kind of support is available during the course?

You will have access to personalized support from a course coordinator, feedback from trainers, and post-session availability of trainers for any additional help or questions.

How can this course benefit my career?

This course equips you with the skills and knowledge to excel in various Python programming roles, such as Python Developer, Data Scientist, and Machine Learning Engineer. It enhances your employability and career prospects in the rapidly growing field of software development.

Core & Advanced Python Programmer Training Course

Our Core Highlights

Course Description

Course Goals

Future Scope of this Course

Our Career Service

Our Training Program Benefits

What is the Core & Advanced Python Programmer Course?

Who should enroll in this course?

What are the prerequisites for this course?

How long does the course take to complete?

What will I learn in this course?

Is there a certification upon completion?

Are there any hands-on projects or assignments?

Will I have access to the course materials after completion?

What kind of support is available during the course?

How can this course benefit my career?

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Core & Advanced Python Programmer Training Course

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