wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
# yes yes
source ~/.bashrc
rm Miniconda3-latest-Linux-x86_64.sh
# to ensure WSL can start normally without an active conda env
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gahoccode
/ resume.json
Last active
April 17, 2025 14:19
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| { | |
| "basics": { | |
| "name": "Le Minh Tam", | |
| "label": "Finance Business Partner", | |
| "image": "https://media.licdn.com/dms/image/v2/D5603AQGPCm_1KLCRtA/profile-displayphoto-shrink_400_400/profile-displayphoto-shrink_400_400/0/1720943163807?e=1748476800&v=beta&t=v9G6U8PnmHqR5Bdo4kbs8vLgt_QerBMPTWZAIFVnBUQ", | |
| "email": "tamle.fpa@gmail.com", | |
| "phone": "0963639979", | |
| "url": "www.linkedin.com/in/tamlefpa", | |
| "summary": "Results-driven FP&A specialist delivering actionable financial insights that guide strategic decision-making and drive business growth. Skilled in budgeting, forecasting, and financial modeling, transforms complex data into clear, impactful reports. Proficient in Excel with foundational Python and VBA skills for process automation, and a strong communicator in English who effectively conveys critical information to management and leadership.", | |
| "location": { |
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| url = "https://raw.githubusercontent.com/gahoccode/Datasets/main/myport2.csv" | |
| df = pd.read_csv(url) | |
| print(df.head()) |
gahoccode
/ WSL-install-miniconda.md
Created
October 27, 2024 14:08
— forked from lindacmsheard/WSL-install-miniconda.md
Install miniconda on WSL
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| def generate_stock_returns(stocks_list, begin_date, end_date): | |
| prices = pd.DataFrame() | |
| for stock in stocks_list: | |
| df_ = investpy.get_stock_historical_data(stock=stock, | |
| country='Vietnam', | |
| from_date=begin_date, | |
| to_date=end_date).Close | |
| df_.rename(stock, inplace=True) |
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| import investpy | |
| country_of_choice = "vietnam" | |
| data_frequency = "Daily" | |
| # initializing the final dataframe | |
| stocks_df = pd.DataFrame() | |
| # looping through each entries in our stock list to get data | |
| for i in range(len(tickers)): | |