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Python strings | 3/100 Days of Python Algo trading
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100 Days of Hell with Python Algo Trading? - Python strings | 3/100 Days of Python Algo trading

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This course includes

  • 35.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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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 Python strings | 3/100 Days of Python Algo trading 100 Days Schedule Link https://1drv.ms/w/s!AkJTmoKJV3m4gTGCTKeeYPQLp0iJ?e=cd2vQu MCQs Link https://gotraddy.com/python-strings-3-100-days-of-python-algo-trading/ Coding Task Link https://github.com/thekuldeepsingh/100-Days-Of-Hell-With-Python-Algotrading/tree/main/Day_3_Python_Strings Welcome to Day 3 of our 100-day Python algo trading challenge! Today, we're diving into the world of Python strings, a fundamental data type that's essential for handling text and symbols in your trading algorithms. Here's what you'll learn in this video: 0:00 Introduction: Get ready to unlock the power of text manipulation in Python. 0:26 ASCII vs Unicode: Understand the difference between these character encoding standards and why Unicode is crucial for global applications. 2:41 Creating Strings (Theory): Learn various ways to create strings, from single and double quotes to multi-line strings and raw strings. 5:00 Accessing Strings (Theory): Discover how to access individual characters and substrings using indexing and slicing. 11:13 Editing and Deleting (Theory): Explore how to modify strings by replacing characters, concatenating them, and even deleting parts of them. 12:40 Creating Strings (Practical): See real-world examples of string creation in action. 17:25 Operations on Strings (Theory): Learn about common string operations like concatenation, repetition, membership testing, and formatting. 25:31 Operations on Strings (Practical): Apply these operations to real-world scenarios. 29:38 Common String Functions (Theory): Discover a variety of built-in Python functions designed to make string manipulation easier. 39:33 Common String Functions (Practical): Practice using these functions to solve common string-related tasks. By mastering strings, you'll gain the ability to extract information from financial news, analyze market data, generate trading signals, and so much more. Get ready to add another essential skill to your algo trading arsenal! 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 #python #pythonprogramming #pythontrading #pythonalgotrading #artificialintelligence #AI #machinelearning #ML #deeplearning #algorithms #algotrading #algorithmictrading #trading #finance #cryptocurrency #bitcoin #stringfunctions #functions #strip #operationsonstrings

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