Best Python Online Training by Realtime Experts provides comprehensive and practical learning for anyone looking to master Python programming. Covering all aspects of Python, the course includes core concepts such as data types, control flow, functions, modules, and packages, along with advanced topics like object-oriented programming, decorators, generators, multithreading, and working with libraries like NumPy, Pandas, and Matplotlib. This makes Best Python Online Training by Realtime Experts the go-to choice for mastering Python.
The course is ideal for aspiring data scientists, machine learning engineers, software developers, and automation testers. The curriculum of Best Python Online Training by Realtime Experts covers Python’s role in diverse domains such as web development, automation, data analytics, and artificial intelligence. With live projects and hands-on coding exercises, participants gain real-world experience and practical skills to apply in various industries.
With a focus on project-based learning, Best Python Online Training by Realtime Experts ensures learners are up-to-date with the latest Python 3.x versions. The course emphasizes building real-time applications such as web scraping, data visualization, and API integrations. Offering flexible timings, the training is designed to accommodate working professionals, students, and tech enthusiasts alike.
By joining Best Python Online Training by Realtime Experts, learners receive in-depth knowledge, hands-on experience, and expert-level guidance in one of the most in-demand programming languages today, which powers industries like finance, healthcare, and tech innovation.
PYTHON Course Contents
Duration: 22 Days
Description: Core and Advanced Python
- Features of Python
- Python Virtual Machine (PVM)
- Frozen Binaries
- Memory Management in Python
- Garbage Collection in Python
- Writing Our First Python Program
- Executing a Python Program
- Getting Help in Python
- Reopening the Python Program in IDLE
- Comments in Python
- How Python Sees Variables
- Datatypes in Python
- Built-in datatypes
- Sequences in Python
- Determining the Datatype of a Variable
- User-defined Datatypes
- Constants in Python
- Identifiers and Reserved words
Arithmetic Operators
Using Python Interpreter as Calculator
Assignment Operators
Relational Operators
Logical Operators
Boolean Operators
Membership Operators
Identity Operators
Operator Precedence and Associativity
- Output statements
- Various formats of The print()
- Input Statements
- Command Line Arguments
- If Statement
- If … else Statement
- If … elif … else Statement
- While Loop
- For Loop
- Else Suite
- Break Statement
- Continue Statement
- Pass Statement
- Return Statement
- Creating an Array
- Importing the Array Day
- Indexing and Slicing on Arrays
- Types of Arrays
- Working with Arrays using numpy
- Creating Arrays using linspace
- Creating Arrays using arange() Function
- Creating Arrays using zeros() and ones() Functions
- Mathematical Operations on Arrays
- Slicing and Indexing in numpy Arrays
- Dimensions of Arrays
- Attributes of an Array
- Reshape() Method
- Working with Multi-dimensional Arrays
- The array() Function
- The ones() and zeros() Functions
- Indexing in Multi-dimensional Arrays
- Slicing the Multi-dimensional Arrays
- Matrices in numpy
- Defining a Function
- Calling a Function
- Returning Results from a Function
- Returning Multiple Values from a Function
- 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
- Function Decorators
- Structured Programming
- Creating Lists using range() Function
- Updating the Elements of a List
- Concatenation of Two Lists
- Tuples
- Creating Tuples
- Accessing the Tuple Elements
- Basic Operations on Tuples
- Functions to Process Tuples
- 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
Problems in Procedure Oriented Approach
Features of Object Oriented Programming System (OOPS)
Classes and Objects
Encapsulation
Abstraction
Inheritance
Polymorphism
- Self Variable
- Constructor
- Types of Variables
- Namespaces
- Types of Methods
- Passing Members of One Class to Another Class
- Inner Classes
- 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 Method and Abstract Class
Interfaces in Python
Abstract Classes vs. Interfaces
- Errors in a Python Program
- Exceptions
- Exception Handling
- Types of Exceptions
- The Except Block
- User-Defined Exceptions
- 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
- Zipping and Unzipping Files
- Running Other Programs from Python Program
- Sequence Characters in Regular Expressions
- Quantifiers in Regular Expressions
- Special Characters in Regular Expressions
- Using Regular Expressions on Files
- 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
- GUI in Python
- The Root Window
- Fonts and Colors
- Working with Containers
- Canvas
- Frame
- Widgets
- Button Widget
- Label Widget
- Message Widget
- Text Widget
- 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
- 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
Continuing with the same quality and focus, Best Python Online Training by Realtime Experts ensures that learners not only understand theoretical concepts but also gain practical experience through real-world applications. This comprehensive Python course is tailored for professionals and beginners alike, covering the entire spectrum of Python programming, from basic syntax to more complex topics like multithreading, API integration, and working with popular libraries like NumPy, Pandas, and Matplotlib.
One of the standout features of Best Python Online Training by Realtime Experts is its focus on project-based learning. Learners actively participate in live coding sessions and real-time projects, which helps them develop skills for building applications like web scraping, data visualization, and automation tools. This hands-on approach allows participants to apply Python skills directly to their professional or personal projects.
Another advantage of enrolling in Best Python Online Training by Realtime Experts is the course’s relevance to high-demand roles such as data scientist, machine learning engineer, software developer, and automation tester. The course covers Python’s application across diverse fields, including data science, web development, and artificial intelligence. This makes the training versatile and valuable for anyone looking to advance in their tech career.
The flexibility offered by Best Python Online Training by Realtime Experts is perfect for working professionals and students. With live interactive sessions and recorded lectures, learners can study at their own pace without compromising the quality of their education. Additionally, the course stays updated with the latest Python 3.x features, ensuring that participants are always learning the most relevant skills in the industry.
Enroll in Best Python Online Training by Realtime Experts to elevate your Python skills, gain practical experience, and open doors to careers in top industries such as finance, healthcare, technology, and more. With expert guidance and real-world projects, this training is designed to help you succeed.
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Frequently Asked Questions FAQs
Q1. What does the Best Python Online Training by Realtime Experts cover?
The training covers a comprehensive range of topics, including core concepts like data types, control flow, and functions, as well as advanced topics like object-oriented programming, decorators, generators, and libraries such as NumPy, Pandas, and Matplotlib.
Q2. Who is this training ideal for?
This course is perfect for individuals aspiring to become data scientists, machine learning engineers, software developers, or automation testers, as well as anyone looking to enhance their Python programming skills.
Q3. What type of learning approach does this training use?
The Best Python Online Training by Realtime Experts emphasizes project-based learning with live projects and hands-on coding exercises, ensuring that learners gain practical experience applicable to real-world scenarios.
Q4. Are there flexible learning options available?
Yes, the training offers flexible timings with live interactive sessions and recorded lectures, making it accessible to working professionals, students, and tech enthusiasts.
Q5. Will I learn the latest Python features?
Absolutely! The course ensures learners are well-versed in the latest Python updates, including Python 3.x versions, so you’re always learning the most current and relevant skills.
Q6. What types of applications will I be able to develop?
Participants will learn to build real-time applications such as web scraping, data visualization, API integrations, and automation tools, equipping them with skills to tackle various challenges in the tech industry.
