Courses
Difficulty Level: ADVANCED
Age group: 15-39
Basic Syntax- Python Identifiers - Python Array- What Is Python Array & When to Use It? - File Handling- Opening and Closing the Files - What Is Exception in Python? - Learn More About Modules- Using From* Import Statement - Stack- What Is It? - Plotting Data using MATPLOTLIB- Plotting using MATLABPLOTLIB - Working With MySQL- What Is MySQL? - Python Internet Access- What Is urllib Python Array- What Is Python Array & When to Use It? - Python Array- Syntax to Create Array Python Array- Syntax to Create Array - Python Array- Accessing of Array Elements Python Array- Accessing of Array Elements - Python Array- How to Insert Elements Python Array- How to Insert Elements - Python Array- How to Modify the Elements Python Array- How to Modify the Elements - Python Array- How to Pop an Element from Python Array Python Array- How to Pop an Element from Python Array - Python Array- How to Delete the Element Form Array Python Array- How to Delete the Element Form Array - Python Array- How to Get and Search the Index of Any Value in Array Python Array- How to Get and Search the Index of Any Value in Array - Python Array- Reverse the Array Python Array- Reverse the Array - Python Array- Traverse the Array Python Array- Traverse the Array - Python Array- Count the Occurrence of a Value in Array Python Array- Count the Occurrence of a Value in Array - Python Array- Coding Practice Using Different Functions Python Array- Coding Practice Using Different Functions - Python Array- Assignment Expressions and Operators- Exercise - Functions- Introduction to Function in Python Functions- Introduction to Function in Python - Functions- Defining a Function Functions- Defining a Function - Functions- Calling a Function Functions- Calling a Function - Functions- Pass by Reference Vs Value Functions- Pass by Reference Vs Value - Function Arguments: Required, Keyword, Default, and Variable Length Arguments Function Arguments: Required, Keyword, Default, and Variable Length Arguments - Functions- The Anonymous Functions Functions- The Anonymous Functions - Functions- The Global() and Locals() Functions Functions- The Global() and Locals() Functions - Functions- The Reload() Function Functions- The Reload() Function - Functions- Lambda Function in Python Functions- Lambda Function in Python - Functions- Coding Practice Using Different Functions Functions- Coding Practice Using Different Functions - Functions- Assignment File Handling- Opening and Closing the Files - File Handling- Reading and Writing in the Files File Handling- Reading and Writing in the Files - File Handling- Renaming and Deleting the Files File Handling- Renaming and Deleting the Files - File Handling- File Modes in Python File Handling- File Modes in Python - File Handling- How to Check If a File/directory Exists in Python File Handling- How to Check If a File/directory Exists in Python - File Handling- Copying the Files File Handling- Copying the Files - File Handling- Creating Zip. File in Python File Handling- Creating Zip. File in Python - File Handling- Practice Exercise File Handling- Practice Exercise - CSV Files in Python- What Is CSV File? - Data Handling Using Pandas -I: Series CSV Files in Python- What Is CSV File? - CSV Files in Python- Sample CSV File CSV Files in Python- Sample CSV File - CSV Files in Python- Python CSV Module CSV Files in Python- Python CSV Module - CSV Files in Python- CSV Module Functions CSV Files in Python- CSV Module Functions - CSV Files in Python- Reading CSV Files CSV Files in Python- Reading CSV Files - CSV Files in Python- Reading as a Dictionary CSV Files in Python- Reading as a Dictionary - CSV Files in Python- Writing to CSV Files CSV Files in Python- Writing to CSV Files - CSV Files in Python- Assignment/Quiz OOP's Concept- Overview of OOP's Terminology - OOP's Concept- How to Define Class? Running Python - OOP's Concept- Overview of OOP's Terminology OOP's Concept- How to Define Class? - OOP's Concept- Creating the Instance Objects OOP's Concept- Creating the Instance Objects - OOP's Concept- Accessing the Attributes OOP's Concept- Accessing the Attributes - OOP's Concept- Built-in Class Attributes OOP's Concept- Built-in Class Attributes - OOP's Concept- Destroying the Objects OOP's Concept- Destroying the Objects - OOP's Concept- How Inheritance Works? OOP's Concept- How Inheritance Works? - OOP's Concept- Overriding OOP's Concept- Overriding - OOP's Concept- Overloading OOP's Concept- Overloading - OOP's Concept- Data Hiding OOP's Concept- Data Hiding - OOP's Concept- Polymorphism OOP's Concept- Polymorphism - OOP's Concept- Constructor/Destructor OOP's Concept- Constructor/Destructor - OOP's Concept- Assignment What Is Exception in Python? - Common Examples of Exception Common Examples of Exception - Why Should You Use Exceptions? Why Should You Use Exceptions? - Rules of Exceptions Rules of Exceptions - Handling an Exception Handling an Exception - Exception Handling- The Try Statement Exception Handling- The Try Statement - Exception Handling- The Catch Statement Exception Handling- The Catch Statement - Exception Handling- The Raise Statement Exception Handling- The Raise Statement - Exception Handling- User Defined Exception Exception Handling- User Defined Exception - Exception Handling- Other Important Python Exceptions Exception Handling- Other Important Python Exceptions - Exception Handling- Important Python Errors Exception Handling- Important Python Errors - Exception Handling- Errors Vs. Exceptions Exception Handling- Errors Vs. Exceptions - Exception Handling- Coding to Deal With Exceptions Learn More About Modules- Using From* Import Statement - Learn More About Modules- How to Create a Module? Learn More About Modules- How to Create a Module? - Learn More About Modules- Locating Modules Learn More About Modules- Locating Modules - Learn More About Modules- The Python Path Variable Learn More About Modules- The Python Path Variable - Learn More About Modules- The Dir() Function Learn More About Modules- The Dir() Function - Learn More About Modules- Packages in Python Learn More About Modules- Packages in Python - Learn More About Modules- Absolute and Relative Imports in Python Learn More About Modules- Absolute and Relative Imports in Python - Learn More About Modules- Using Absolute Imports Learn More About Modules- Using Absolute Imports - Learn More About Modules- Using Relative Imports Learn More About Modules- Using Relative Imports - Learn More About Modules- Assignment/Quiz Stack- What Is It? - Stack- How it Works? Stack- How it Works? - Stack- Stack Implementation Stack- Stack Implementation - Method of Stack: Push, Pop, Empty, Size, and Top. Method of Stack: Push, Pop, Empty, Size, and Top. - Stack- LIFO Queue Example Stack- LIFO Queue Example - Stack- Python Stack Vs. Threading Stack- Python Stack Vs. Threading - Stack- Deque Vs. List Stack- Deque Vs. List - Stack- Practice Exercise Data Handling Using Pandas -I: Series - Data Handling Using Pandas -I: Dataframe Data Handling Using Pandas -I: Dataframe - Data Handling Using Pandas -I: Data Aggregations Data Handling Using Pandas -I: Data Aggregations - Data Handling Using Pandas -I: Dataframe Operations Data Handling Using Pandas -I: Dataframe Operations - Data Handling Using Pandas -I: Import and Export Data Handling Using Pandas -I: Import and Export - Data Handling Using Pandas -I: Data Between CSV Files Data Handling Using Pandas -I: Data Between CSV Files - Data Handling Using Pandas -I: Pandas and MYSQL Plotting Data using MATPLOTLIB- Plotting using MATLABPLOTLIB - Plotting Data using MATPLOTLIB- Customization of Plots Plotting Data using MATPLOTLIB- Customization of Plots - Plotting Data using MATPLOTLIB- The Pandas Plot Functions Plotting Data using MATPLOTLIB- The Pandas Plot Functions - Plotting Data using MATPLOTLIB- Pandas Visualization Working With MySQL- What Is MySQL? - Working With MySQL- How to Install MySQL? Working With MySQL- How to Install MySQL? - Working With MySQL- Connecting Python to MySQL Working With MySQL- Connecting Python to MySQL - Working With MySQL- Database Connection Working With MySQL- Database Connection - Working With MySQL- Creating the Table Working With MySQL- Creating the Table - Working With MySQL- Insertion in Table Working With MySQL- Insertion in Table - Working With MySQL- Read Operation in Table Working With MySQL- Read Operation in Table - Working With MySQL- Edit the Table Working With MySQL- Edit the Table - Working With MySQL- Deletion in Table Working With MySQL- Deletion in Table - Working With MySQL- Commit Operation Working With MySQL- Commit Operation - Working With MySQL- Rollback Operation Working With MySQL- Rollback Operation - Working With MySQL- Disconnecting Database Working With MySQL- Disconnecting Database - Working With MySQL- Parameterized Queries Working With MySQL- Parameterized Queries - Working With MySQL- Handling Errors Working With MySQL- Handling Errors - Working With MySQL- Coding Practice to Create a Table and Applying the Learned Operations on Table Python Internet Access- What Is urllib - Python Internet Access- Open the URL Using the urllib Python Internet Access- Open the URL Using the urllib - Python Internet Access- Read the HTML File for Your URL in Python Python Internet Access- Read the HTML File for Your URL in Python - Python Internet Access- Exercise Python Internet Access- Exercise - Sending Email using SMTP- Introduction to Parameters: host, Port, Local_hostname - Login to Facebook using Python- Introduction to Selenium - GUI Programming- Use of Tkinter Module Sending Email using SMTP- Introduction to Parameters: host, Port, Local_hostname - Sending Email using SMTP- Sending an HTML Email Using Python Sending Email using SMTP- Sending an HTML Email Using Python - Sending Email using SMTP- Sending Attachments as an Email Sending Email using SMTP- Sending Attachments as an Email - Sending Email using SMTP- Practice Login to Facebook using Python- Introduction to Selenium - Login to Facebook using Python- Python Code to log in to FB Using Selenium Tool Login to Facebook using Python- Python Code to log in to FB Using Selenium Tool - Login to Facebook using Python- Practice GUI Programming- Use of Tkinter Module - GUI Programming- Create forms and controls GUI Programming- Create forms and controls - Project- How to make a small project with all required modules? Project- How to make a small project with all required modules? - Project- How to make setup or exe file. for distribution
Basic and Data Structure Knowledge of Python programming
Enthuziasm to be a Python programmer
Advanced Python Libraries: Explore and utilize advanced Python libraries such as NumPy, Pandas, and Matplotlib for data analysis, visualization, and scientific computing tasks.
Concurrency and Parallelism: Learn advanced techniques for concurrent and parallel programming in Python, utilizing threads, processes, and asynchronous programming for optimized performance.
Advanced Functional Programming: Develop proficiency in functional programming paradigms in Python, using concepts like lambda functions, map, filter, and recursion to write concise and powerful code.
Advanced Data Structures: Master complex data structures like graphs and trees, implementing efficient algorithms for operations such as traversal, search, and manipulation.
You'll learn connectivity between frontend and backend
You'll have a sound knowledge of object-oriented concept in Python
You'll learn domain-specific libraries for data processing
You’ll be able to develop fully functional projects
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