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Python Algotrading eBook - https://linktr.ee/kuldeepsinghalgo MCQs +Mini Projects - https://linktr.ee/kuldeepsinghalgo Python Algotrading Book (Hard Copy ) - https://www.amazon.com/dp/B0F3S8FQ7C Download code from Skool Community - https://www.skool.com/the-quantitative-elite-1670 Pandas DataFrame | 24/100 Days of Python Algo Trading 100 Days Schedule Link https://1drv.ms/w/s!AkJTmoKJV3m4gTGCTKeeYPQLp0iJ?e=cd2vQu MCQs Link https://gotraddy.com/pandas-dataframe-24-100-days-of-python-algo-trading/ Coding Task Link https://github.com/thekuldeepsingh/100-Days-Of-Hell-With-Python-Algotrading/tree/main/Day_24_Pandas-Series-In-Python-2 Welcome to Day 24 of our "100 Days of Python Algo Trading" series! Today, we're focusing on mastering Pandas DataFrames and Series, with a deep dive into their various functionalities tailored for algorithmic trading. Discover how to manipulate, analyze, and visualize financial data effectively using Pandas in Python. What You'll Learn: Coming Up Next (Starts at 00:00:00): A brief preview of today’s comprehensive guide to Pandas. Introduction (Starts at 00:00:39): An overview of the critical role Pandas plays in data analysis and financial computing. Examples of Pandas (Starts at 00:01:27): See Pandas in action with basic DataFrame operations. Series Math Methods (Starts at 00:06:07): Learn mathematical functions and operations applicable to Series objects. Series Indexing (Starts at 00:11:13): Discover efficient techniques for selecting and filtering data within Series. Editing Series (Starts at 00:15:49): Techniques for modifying and updating Series data. Series with Python Functionalities (Starts at 00:18:38): Integration of Python’s built-in functionalities with Pandas for enhanced data manipulation. Boolean Indexing on Series (Starts at 00:24:10): Explore how to filter data using Boolean conditions. Plotting Graphs on Series (Starts at 00:25:44): Visualize data trends directly from Series using Pandas' plotting capabilities. Important Series Methods (Starts at 00:30:44): A roundup of essential methods that every data scientist should know. Join us to enhance your Python skills and make the most out of your algorithmic trading strategies with powerful data manipulation and visualization tools offered by Pandas. Timestamps: 00:00:00 - Coming up next 00:00:39 - Introduction 00:01:27 - Examples of Pandas 00:06:07 - Examples of Series Math Methods 00:11:13 - Examples of Series Indexing 00:15:49 - Examples of Editing Series 00:18:38 - Series with Python Functionalities 00:24:10 - Boolean Indexing on Series 00:25:44 - Plotting Graphs on Series 00:30:44 - Important Series Methods Engage with Us: We encourage you to like, subscribe, and comment below with your experiences or questions about using Pandas for financial data analysis. Your feedback is crucial in shaping our content to better fit your learning needs! Connect with us YouTube www.youtube.com/@KuldeepSinghAlgo Instagram https://www.instagram.com/kuldeepsinghalgo/ Facebook www.facebook.com/Kuldeepsinghalgo/ X ( twitter ) https://twitter.com/Kuldeepalgo LinkedIn https://www.linkedin.com/in/kuldeepsinghalgo/ Discord https://discord.gg/TVdMnvR8Pb Telegram https://web.telegram.org/k/#@kuldeepsinghalgo WhatsApp https://whatsapp.com/channel/0029VaMXvPvK5cDDnQeIsg0s GitHub https://github.com/thekuldeepsingh/100-Days-Of-Hell-With-Python-Algotrading/ Tags python for beginners python for finance python for trading python algo trading tutorial AI in trading machine learning for beginners machine learning algorithms for trading deep learning for finance algorithmic trading strategies how to build a trading bot with python trading bot tutorial algo trading for beginners machine learning for beginners course AI for beginners course python for algo trading beginners machine learning for algo trading strategies how to build an AI trading bot with python Python mini projects Data science projects Data analysis projects Algotrading projects #PandasDataFrame, #PythonCSV, #PandasSeries #python #pythonprogramming #pythontrading #pythonalgotrading #artificialintelligence #AI #machinelearning #ML #deeplearning #algorithms #algotrading #algorithmictrading #trading #finance #cryptocurrency #bitcoin
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