Exploratory Data Analysis Using Python
Comprehensive Hindi tutorial on Exploratory Data Analysis using Python, covering Pandas, Matplotlib, and practical EDA examples with IPL, FIFA, and Superheroes datasets.
Data Visualization in Python with Plotly
Learn to create interactive data visualizations using Plotly in Python, including scatter, bar, line, bubble, histogram, and box plots, with customization techniques for effective data presentation.
Weather App With Django
Learn to build a weather app using Django with Code with Tomi in under an hour. Full source code available on Github.
Selenium Using Python
Comprehensive guide to Selenium automation with Python, covering IDE, WebDriver, Grid, and RC. Learn testing techniques and compare tools for effective web automation.
Python FastAPI Tutorial
Learn to build fast, efficient APIs in Python using FastAPI framework, covering setup, endpoints, HTTP methods, parameters, request bodies, and error handling.
Python Pandas Tutorial in Hindi
In this course, you will learn about Python Pandas in Hindi. You will learn about Pandas series, DataFrame, reading and writing CSV files, handling missing values, and different Pandas functions.
Python Coding
पायथन प्रोग्रामिंग की मूल अवधारणाओं और उन्नत विषयों को सीखें। पैटर्न, संख्या सिद्धांत, और सॉर्टिंग एल्गोरिदम पर व्यावहारिक अभ्यास करें।
Python File Handling for Beginners
Comprehensive guide to Python file operations: reading, writing, appending, creating, and deleting files. Covers error handling, the 'with' keyword, and best practices for beginners.
Web Scraping Using Python + BeautifulSoup In Hindi
Learn Web Scraping Using Python + BeautifulSoup In Hindi! In this course, you will learn about retrieving links and text in bs4, logging in and scraping Facebook, programs to login into Facebook, scraping friends from Facebook, and downloading images fro…
Stanford Seminar - Fastai: A Layered API for Deep Learning
Explore fastai, a deep learning library offering high-level components for quick results and low-level components for research flexibility, built on a layered architecture with Python and PyTorch.
Jupyter Notebooks and Academic Publication
Explore Jupyter Notebooks for scientific research with Python creators. Learn about its history, benefits, and future in academic publishing and data presentation.
Machine Learning with Python
Comprehensive Python tutorial covering machine learning concepts, algorithms, and deep learning with TensorFlow. Includes hands-on projects and real-world applications.
Python Programming Tutorials
Our Python Tutorials will help you learn Python quickly and thoroughly. We start with "Hello World" and then move on to data structures (sets, lists, tuples and dictionaries). Next we'll cover classes, and give a variety of in-depth examples and applic…
High Throughput Sequencing
Comprehensive playlist covering high-throughput sequencing analysis, including RNA-seq, ChIP-Seq, PCA, clustering, and statistical methods for bioinformatics and genomics research.
Python for Beginners
Learn Python fundamentals, from basic syntax to advanced concepts like APIs and decorators, through hands-on demos and practical examples.
Python Programming for Finance
Learn Python for financial analysis, stock data manipulation, machine learning, and algorithmic trading. Develop skills in data preprocessing, backtesting strategies, and portfolio optimization.
Deep Learning Basics with Python, TensorFlow and Keras
Master deep learning fundamentals using Python, TensorFlow, and Keras. Explore CNNs, RNNs, data loading, model analysis, optimization, and practical applications in cryptocurrency prediction.
Django Tutorial - Create a Blog
Learn to build a fully-functional blog with user authentication using Django, covering project setup, models, views, templates, admin interface, and styling.
Learning to Program with Python 3
Comprehensive Python 3 tutorial covering basics to advanced concepts, including data structures, functions, error handling, and game development through a Tic Tac Toe project.
Machine Learning with Python and Scikit-Learn
Aprenda a aplicar machine learning com Python e Scikit-learn para investimentos, explorando algoritmos supervisionados e não supervisionados, incluindo SVM, KMeans e Mean Shift.
Neural Networks from Scratch in Python
Build and understand neural networks from the ground up, covering key concepts like neurons, layers, activation functions, and loss calculation in Python.