React Tutorial for Beginners
Comprehensive React tutorial covering basics to advanced concepts, including hooks, routing, and Redux. Includes hands-on project building and API integration.
Laravel 8 API Tutorial
Comprehensive guide to building and implementing APIs in Laravel 8, covering essential methods, authentication, and advanced features for efficient web development.
Vue JS Tutorial for Beginners
Comprehensive Vue.js tutorial covering core concepts, components, lifecycle methods, API integration, routing, and project development for beginners.
JavaScript Tutorial for Beginners
Comprehensive beginner's guide to JavaScript, covering basics to advanced topics with hands-on examples and jQuery integration for interactive web development.
JavaScript for Beginners
Learn JavaScript from scratch, covering basics to ES6 features. Ideal for beginners, includes hands-on projects like building a Rock Paper Scissors game.
JavaScript Tutorials
Learn JavaScript fundamentals and advanced concepts through hands-on tutorials covering arrays, functions, OOP, ES6 features, and more for beginners and intermediate developers.
Matplotlib Tutorial
Learn to create and customize various data visualizations using Python's Matplotlib library, from basic plots to real-time data representation and subplots.
Data Visualization with Matplotlib for Beginners
Learn to create diverse, professional-looking visualizations using Matplotlib, from installation to advanced techniques like annotations and style sheets.
NumPy in Python Tutorial
Learn essential NumPy concepts for Python, including array creation, manipulation, and operations. Master multi-dimensional arrays, reshaping, and slicing techniques for efficient data handling.
NumPy Data Science Essential Training With Python 3
Master NumPy for data science: arrays, indexing, computation, visualization, and statistical analysis. Hands-on practice with Python 3 and Jupyter Notebook for real-world applications.
Data Analytics with Python
Learn data analytics using Python, covering preprocessing, visualization, machine learning algorithms, and practical examples. Gain skills to analyze datasets, make predictions, and compete on Kaggle.
Data Visualization GUIs with Dash and Python
Learn to create interactive data visualization interfaces using Dash and Python, covering dynamic graphs, live updates, sentiment analysis, and app deployment for effective data presentation.
Apache Spark, Hadoop Project with Kafka and Python - End to End Development
Comprehensive big data project integrating Apache Spark, Hadoop, Kafka, and Python for end-to-end development, including streaming, REST API, and dashboard creation.
Dash Bootstrap
Learn to create interactive dashboards using Dash Bootstrap, covering styling, components, and advanced features for data visualization and user interaction.
Plotly Dash Components
Explore Plotly Dash components for interactive data visualization. Learn to create dropdowns, sliders, graphs, and more for building dynamic web applications with Python.
Pandas Tutorial - Data Analysis in Python
Learn data analysis with Python's Pandas library. Covers DataFrame basics, data handling, grouping, merging, pivoting, time series analysis, and memory optimization for large datasets.
Pandas Tutorials
Comprehensive guide to data analysis with Pandas: from basics to advanced techniques, covering installation, data manipulation, filtering, sorting, and working with various data sources.
CBSE Class 12 Informatics Practices
Comprehensive Python Pandas and data visualization course for CBSE Class 12 I.P., covering series, dataframes, matplotlib, SQL, and network concepts.
Python Pandas Complete Tutorial
Master Python Pandas for data analysis: filtering, sorting, aggregating, and visualizing data. Learn to handle missing values, create pivot tables, and work with various data formats.
Python Pandas Time Series Analysis
Learn to manipulate and analyze time series data using Python Pandas, covering DatetimeIndex, resampling, date ranges, holidays, datetime conversion, periods, timezones, and shifting techniques.
PyTorch - Deep Learning with Python
Explore deep learning and neural networks using Python and PyTorch, covering data handling, model building, training, and analysis, with a focus on convolutional networks and GPU acceleration.