Starting with Pyhton bootcamp See you in 100 days 😏 #100DaysOfCode #100daysofcodepython

#100DaysOfCodepython #100DiasDeCodigoel reto de 100 días en mi día 74 y 75 desarrolado un bot de telegram una funcion la cual me permita crear los productos en en mi woocomerce asi como actualizarlos tambien hice el consumo de mi archivo .env

#100DaysOfCodepython #100DiasDeCodigoel reto de 100 días en mi día 73 desarrollando un bot para Wordpress usando el api de clima agregue una función para que envié el reporte del clima cada 10 mínutos también agregue una función espejo que todo lo que ponga ella solo lo regrese

#100DaysOfCodepython #100DiasDeCodigo el reto de 100 días en mi dia 72 desarrolando un bot para wopress woocomerce agregando comando basicos y funcines para agregar Documentacion : pytba.readthedocs.io/en/latest/inst… Docuementacion : core.telegram.org/bots Documentacion : woocomerce api

*Day 3 of 14-Day trial by fire 🔥 Challenge on machine learning and Ai Training Let’s kickstart your AI journey the right way! What's AI? What's ML? What's DL? Let’s break it down: #AI #MachineLearning #100daysofcodepython

#100DaysOfCodepython #100DiasDeCodigo retomado el reto de 100 días en mi dia 71 haciendo una conexión entre un api(yugi api) y un archivo de excel en woocommerce de worpress , creo que también iniciare a tomar clases de woopress

🚀 Day 58 of Python: Working with Strings and Regex in Pandas! 🚀 #100daysofcodepython Hey Python enthusiasts! 🎉 Today we’re diving into string methods and regex patterns to use in Pandas. #Python #DataScience #Regex #Pandas #DataAnalysis #Programming

🚀 Day 57: Mastering Dates and Times in Python 🗓️ #100daysofcodepython Python's datetime Module: Key Classes: date, time, datetime Convert string to datetime: dt = datetime.datetime.strptime("2023-08-26", "%Y-%m-%d") dt = dateutil.parser.parse(string_date)

🚀Day 56 of Python: Group By and Pivot/Unpivot operations in Pandas🚀 #100daysofcodepython - Aggregation with groupby object - Iterating over groupby object, getting a subgroup - groupby() + agg()/filter()/apply()/transform() - pivot(), melt(), and pivot_table() #Python #Pandas

🚀Day 55 of Python: Diving into MultiIndex with Pandas!🚀 #100daysofcodepython --> Creating MultiIndex 3 ways: 1. Providing index_col parameter in pd.read_csv() 2. Providing index parameter in pd.DataFrame(data=df, index=[a_col, b_col]) 3. set_index()

Day 54: Mastering DataFrame Aggregations and Transformations in Python #100daysofcodepython --> Aggregation with agg() 1) Simple Mean Calculation: df.select_dtypes(np.number).agg('mean', axis=0) This calculates the mean of all numeric columns in the DataFrame.

🚀 Day 53 of Python Code: Mastering DataFrames 🚀 #100daysofcodepython 🛠️ Creating DataFrames: Dict of Lists: pd.DataFrame({'col1': [1,2], 'col2': [3,4]}) Dict of Tuples: pd.DataFrame({'col1': (1,2), 'col2': (3,4)}) #Python #DataScience #Pandas

🚀 Day 52: Deep Dive into Pandas Series 🚀 #100daysofcodepython 📊 🔍 Descriptive Statistics: s.mean(), s.median(), s.mode(): Mean, median, and mode of the series. s.min(), s.max(): Minimum and maximum values. s.std(), s.var(): Standard deviation and variance. #Python

& it's day 10....🧑‍💻 #100DaysOfCodePython

🚀 Day 51 of Python: Let's Dive into Pandas Series! 🚀 #100daysofcodepython A series is a one-dimensional labeled array. --> Creating a Series: s = pd.Series(data=['name1', 'name2', 'name3'], [index]=pd.RangeIndex(start=0, stop=3, step=1), [name]=None, [type]='object')

#100DaysOfCodepython #100DiasDeCodigo #pythoncodeEn el día 70 retomado el reto de 100 días de python fui lo ultimo mirando lo basico de numpy y comenze a ver pandas tambien comennze a usar la extencion de jupiter en el vscode y inicie con las Series

#100DaysOfCodepython #100DiasDeCodigo #pythoncodeEn el día 69 retomado el reto de 100 días de pues de casi 7 meses para retomarlo con calma inicie con la librería de pandas y el funcionamiento de los array con pandas no fue nada complicado(rumbo a ser data analist) 🥳

#100daysofcodepython 🚀Day 50 of #Python: Mastering Alembic for #Database Versioning Alembic: - Automate database schema migrations with Alembic. - Seamlessly manage database versioning and schema upgrades/downgrades. - Ensure data integrity across all environments. #alembic

#100daysofcodepython 🚀 Day 45 to 49 of Python Journey with FastAPI and React! --> Created InstagramClone project with functionalities of post creation, deletion, comments, user login/logout/signup with Oauth in FastAPI and react frontend. deployed at: …rontendinstaclone-latest.onrender.com

Post 2: List Comprehension ✨ List comprehensions are more Pythonic and preferred for their readability and conciseness. #Python #PythonCommunity #100daysofcodepython #100DaysOfCode