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    1,301 df 仕事が見つかりました。次の価格: USD

    ...・メンターに仕事やライフスタイルについて相談し、具体的なアドバイスが欲しいと思っている ・転職についてぼんやり考えているけど、転職の方法が分からない ・スキルアップ、やりたい事、叶えたいライフスタイルのために行動しようとしている ・知的好奇心高め ▼制作枚数 1枚 ▼制作サイズ 300*300 ▼制作内容 下記内容で作成お願いします。 テーマ:同じ経歴を持つメンターに相談 相談者にとってメンターの経歴がみじかである事が伝わるイラスト。 構成イメージ: ▼レギュレーション等 ・サイトページの「相談の流れ」イラストと雰囲気、カラーを合わせていただきますようお願いいたします。 ※カラー #efced6, #8db0bd  ・作成いただくイラストの人物に関しては下記リンクの画風を参考にしてください。 ▼素材 こちらからの提供はございません。 お手持ちのコピーライトフリー素材や自作のイラスト等をご利用いただいても構いません。 ▼禁止事項 ・他で登録されているデザインや商標の転用など、他社の知的財産権を侵すこと ・他のクライアントへ既に提案した内容の転用など ・業務の無断放棄 ・スキルや実績の虚偽 --- ご質問などありましたら、気軽にお問い合わせください。

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    ...terms with their frequencies in the query. Task 1.3: Define a main function Implement a main function to test parse_rcv1v2() and parse_query(). Print document details (docID, term count, doc_len), sorted terms, and save output to a text file. Task 2.1: Calculate document-frequency (df) Create a function my_df(coll) to calculate document-frequency for a given Rcv1Doc collection. Return a dictionary of terms with their document frequencies. Task 2.2: Calculate TF*IDF values Define a function my_tfidf(doc, df, ndocs) to calculate TF*IDF values for terms in a document. Use the TF*IDF formula with term frequency, document frequency, and total number of documents. Task 2.3: Implement a TF*IDF based IR model Create a main function to call my_tfidf() for each document and ...

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    ...el equipo del grupo B en la segunda posición, y viceversa. Igual para los grupos C y D, E y F, y así sucesivamente. En la fase eliminatoria, el equipo que gana un partido pasa a la siguiente ronda y el que pierde queda eliminado. En caso de empate, se juega una tanda de penales para determinar el ganador. Cada equipo tiene una plantilla de 23 jugadores, y éstos pueden ser: arquero (gk), defensa (df), mediocampista (cf) o delantero (fw). En cada partido, bien sea de la fase de grupos o de la fase eliminatoria, se deben generar goles de forma aleatoria. Para cada gol es necesario registrar el goleador y el minuto del juego en que se realizó el gol. El goleador se debe escoger aleatoriamente entre los jugadores delanteros (FW) de un equipo. El minuto d...

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    I am seeking an Arduino expert to build a specialized library for my TI BQ78350. I need to be able to read these paramaters Static DF Signature ManufactureDate SerialNumber ManufacturerName DeviceName DeviceChemistry Discharge FET Charge FET I also need to be able to switch the Discharge FET and Charge FET on and off. I need this within 24 hours. The chosen freelancer must have extensive experience in and a deep understanding of Arduino Uno as the developed library will need to be compatible with it. Expertise in Arduino programming and a good understanding of the TI BQ78350 chip is crucial. Ultimately, I'm looking for someone who can deliver a reliable, high-performing solution, so if that sounds like you, I'd love to hear from you.

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    ...[root@m22 ~]# lsblk NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT loop0 7:0 0 4G 0 loop /var/tmp sda 8:0 0 3.7T 0 disk ├─sda1 8:1 0 1M 0 part ├─sda2 8:2 0 2G 0 part /boot ├─sda3 8:3 0 3.6T 0 part / └─sda4 8:4 0 7.8G 0 part [SWAP] sdb 8:16 0 3.7T 0 disk ----------------------------------------------------------------------- [root@m22 ~]# df -h Filesystem Size Used Avail Use% Mounted on devtmpfs 126G 0 126G 0% /dev tmpfs 126G 0 126G 0% /dev/shm tmpfs 126G 9.9M 126G 1% /run tmpfs 126G 0 126G 0% /sys/fs/cgroup /dev/sda3 3.6T 3.4T 80M 100% / /dev/sda2 1.9G 182M 1.6G 10% /boot /dev/loop0 3.9G 184K 3.7G 1% /tmp ----------------------...

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    ...MAJ:MIN RM SIZE RO TYPE MOUNTPOINTS sda 8:0 0 223.6G 0 disk |—sda1 8:1 0 512M 0 part /boot/efi |—sda2 8:2 0 223.1G 0 part / sdb 8:16 0 111.8G 0 disk |—sdb1 8:17 0 111.8G 0 part sdc 8:32 0 111.8G 0 disk |—sdc1 8:33 0 111.8G 0 part sdd 8:48 0 0 111.8G 0 disk |—sdd1 8:49 0 111.8G 0 part I tried to find the root with this command, but it seems to only pickup the live usb: root@ubuntu:/home/ubuntu/Desktop# df Filesystem 1K-blocks Used Available Use% Mounted on tmpfs 1625844 10176 1615668 1% /run /dev/sde1 4914194 4914194 0 100% /cdrom /cow 8129216 284780 7844436 4% / /dev/disk/by-label/writable 9958660 63012 9368188 1% /var/log tmpfs 8129216 0 8129216 0% /dev/shm tmpfs 5120 8 5112 1% /run/lock tmpfs 8129216 572 8128644 1% /tmp tmpfs 1625840 152 1625688 1...

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    We own two companies and exploring a merger. Company 1 - Dundee Farm LLC. We do forestry mulching, clearing, grading and excavation Company 2 - Green Rock Services - Tree work, arborist services, site work, and similar services to company 1. The Logo WILL NOT have either of the company names in it. Both company logo examples are attached. We like a clean design with in...a merger. Company 1 - Dundee Farm LLC. We do forestry mulching, clearing, grading and excavation Company 2 - Green Rock Services - Tree work, arborist services, site work, and similar services to company 1. The Logo WILL NOT have either of the company names in it. Both company logo examples are attached. We like a clean design with incorporates at a minimum the initials from both companies - DF and GR in eit...

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    I need you to show me the solution to fix this problem by myself if it happens again in the future. I won't hand any login details, so we can do this via teamviewer or something similar. Thank you for your understanding. [root@SSD-v4 ~]# df -i Filesystem Inodes IUsed IFree IUse% Mounted on devtmpfs 1008401 377 1008024 1% /dev tmpfs 1010985 27 1010958 1% /dev/shm tmpfs 1010985 521 1010464 1% /run tmpfs 1010985 16 1010969 1% /sys/fs/cgroup /dev/sda1 7434240 7434240 0 100% / /dev/loop0 96000 459 95541 1% /tmp tmpfs 1010985 1 1010984 1% /run/user/0

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    ...range(d_period[0], d_period[1], d_period[2]): for valeur_STO in range(valSTO[0], valSTO[1], valSTO[2]): for valeurXEMA in range(xEMA[0], xEMA[1], xEMA[2]): print('.', end="") # ICI vous pouvez tester la vitesse d'exécution d'un même script, optimisé ou non. # MyStrat(df, stats, valeurRSI, valeurXRSI, valeurXEMA, initial_balance=10000, fees=0.00) MyStratOPTIMIZE(df, stats, valeur_k_period, valeur_d_period, valeur_STO, valeurXEMA, initial_balance=10000, fees=0.001) return stats ...

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    ...data frame, df) using the eval function? The sample code is as follows: ________________________________________________________ import pandas as pd class Sample: def __init__(self): = ({'num_legs': [2, 4, 8, 0], 'num_wings': [2, 0, 0, 0], 'num_specimen_seen': [10, 2, 1, 8]}, index=['falcon', 'dog', 'spider', 'fish']) def print(self): eval("()") def main(): obj1 = Sample() obj2 = Sample() () if __name__ == '__main__': main() ________________________________________________________ When I try running the program, it throws the following error: NameErr...

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    ...RO TYPE MOUNTPOINT sda 8:0 0 100G 0 disk ├─sda1 8:1 0 600M 0 part /boot/efi ├─sda2 8:2 0 1G 0 part /boot └─sda3 8:3 0 98.4G 0 part ├─rhel-root 253:0 0 60.8G 0 lvm / ├─rhel-swap 253:1 0 7.9G 0 lvm [SWAP] └─rhel-home 253:2 0 29.7G 0 lvm /home sr0 11:0 1 10.7G 0 rom [root@PRPD-AML-WEB-01 ~]# df -hT Filesystem Type Size Used Avail Use% Mounted on devtmpfs devtmpfs 3.8G 0 3.8G 0% /dev tmpfs tmpfs 3.8G 0 3.8G 0% /dev/shm tmpfs tmpfs 3.8G 9.2M 3.8G 1% /run tmpfs tmpfs 3.8G 0 3.8G 0% /sys/fs/cgroup /dev/mapper/rhel-root xfs 61G 5.9G 55G 10% / /dev/s...

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    ...Configuración de las condiciones de entrada ENTRY_SIGNAL_THRESHOLD = 0.01 STOP_LOSS_THRESHOLD = -0.015 # Variables de seguimiento de la posición y estado del bot in_trade = False position_direction = None async def calculate_indicators(symbol, timeframe, period): # Obtiene los precios históricos del símbolo y timeframe especificados bars = api.get_bars(symbol, timeframe, limit=period+1).df # Calcula los indicadores técnicos MACD, RSI y Bandas de Bollinger macd, signal, _ = (bars['close'].values, fastperiod=12, slowperiod=26, signalperiod=9) rsi = (bars['close'].values, timeperiod=14) upper_band, middle_band, lower_band = (bars['close'].values, timeperiod=20, nbdevup=2, nbdevdn=2, matype...

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    ...Configuración de las condiciones de entrada ENTRY_SIGNAL_THRESHOLD = 0.01 STOP_LOSS_THRESHOLD = -0.015 # Variables de seguimiento de la posición y estado del bot in_trade = False position_direction = None async def calculate_indicators(symbol, timeframe, period): # Obtiene los precios históricos del símbolo y timeframe especificados bars = api.get_bars(symbol, timeframe, limit=period+1).df # Calcula los indicadores técnicos MACD, RSI y Bandas de Bollinger macd, signal, _ = (bars['close'].values, fastperiod=12, slowperiod=26, signalperiod=9) rsi = (bars['close'].values, timeperiod=14) upper_band, middle_band, lower_band = (bars['close'].values, timeperiod=20, nbdevup=2, nbdevdn=2, matype...

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    ...hauled$customer_id_num = 2 does not exist in summary$customer_id_num.  ---- The code-block that achieves this must be annotated line-by-line explaining what each line is doing to achieve the result. I do not care which package(s) or approach(es) you use to achieve this provided they are 1) available for free through CRAN 2) able to quickly and efficiently process up to 200,000 rows in the hauled df ---- Freelancer project description: I am looking for an R code expert who can help me with a project involving joining or merging data frames based on two criteria: numerical match and date range evaluation. Purpose: - The main purpose of this project is to identify matching records from multiple sources. Preferred Method: - There is no specific preference for the merg...

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    fddffdfdf df 終了 left

    I am looking for a website designer who can create a visually appealing and user-friendly website for my project. I am open to suggestions and do not have any specific requirements or preferences for the design. However, I would like the project to be completed within 2 weeks. Skills and Experience: - Proficiency in website design and development - Strong understanding of UI/UX principles - Knowledge of HTML, CSS, and JavaScript - Experience with responsive design - Ability to create visually appealing graphics and layouts - Attention to detail and ability to meet deadlines

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    ... Direct communication, not limited to texts and messages, is paramount. • Serious Inquiries Only: If you haven't fully read this ENTIRE post and job description or can't provide at least 3 relevant examples of your past website development work, there is no need or no reason for you to apply for this project. Let's respect each other's time. ________________________________________ About DF Events: DF Events is a premier NY-based event planning, boutique company. We've staged unparalleled events for Fortune 500 companies, celebrities, elite musicians, and discerning individuals. Project: Website Redesign We're looking for a website developer who is the right fit to amplify our digital presence by REDESIGNING our current website &ndas...

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    Preciso de um projeto ou de ideias para montar a sala de estar de um apartamento. Tenho algumas ideias e estou aberto a sugestões. De preferência em Brasilia/DF pra ver o espaço.

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    Interactive online B2B marketplace specializing in furniture and large home goods looking to develop a core lineup of retail-ready furniture products. We aim to enhance the shopping experience for customers visiting physical stores, providing retailer...results such as increased sales. - Familiarity with working alongside overseas manufacturers, including experience in quality control processes, sourcing materials, and managing production timelines. - Excellent communication and collaboration skills to work effectively with cross-functional teams and external partners. - Familiarity with DFM (Design for Manufacturing), DFT (Design for Testing), and DF (Design for Assembly) concepts. - Provide detailed technical drawings and specifications to ensure accurate construction of furniture...

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    I am looking for a Python expert to help me with importing CSV data into a dataframe. I am currently experiencing a parsing error and I have tried several solutions t...dataframe. I am currently experiencing a parsing error and I have tried several solutions to fix it. Skills and Experience: - Strong proficiency in Python - Experience working with dataframes and importing data - Knowledge of CSV file formats and handling parsing errors - Problem-solving skills to identify and implement appropriate solutions I am trying to import a CSV file into pandas and a df in python, but keep getting the error "Pandas ParserError: Error tokenizing data. C error: EOF inside string" Need help to resolve. Here is the CSV

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    Preciso de um script python que busque as odds de abertura de varios jogos, ligas e temporadas do site betexplorer. Deve ser um script que eu possa alterar a temporada e liga. Tambem tem que ser retornado em um df.

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    I am looking for a freelancer who can conduct a statistical power analysis using SAS. The project requires the following: Mixed model with repeated measures (time) to investigate treatment effect (dunnetts test vs control) Power analysis with noncentral t distribution using standard error of the difference in LS means and error df Calculation of RMSE Peer review of methods Data Set Size: - The data set to be analyzed is small, with less than 500 observations. Power Level: - The specific power level for the analysis is 80%. Ideal Skills and Experience: - Proficiency in SAS programming - Strong understanding of statistical power analysis - Experience in working with small data sets - Knowledge of hypothesis testing and significance levels - Ability to interpret and communicate...

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    ...consists of - The analysis needs to be done for the entire dataframe. - The data that we are working with is related to stocks. Specific formula that works, but isn't applied on a rolling basis to the entire df: ---------- n = 14 workings1 = ((((df['close'])[-n:]), (0,n))) - (1/n * ((0,n)) * (((df['close'])[-n:]))) workings2 = (((0,n),2)) - 1 / n * (((0,n)),2) workings3 = (((((df['close'])[-n:]),2))) - (1/n * ((((df['close'])[-n:])),2)) Technical_Analysis_Data = workings1 / (workings2 * workings3) ---------- The python script needs to be "vectored". Skills and experience required: - Strong proficiency in

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    Buscamos Freelance Mexicano o Latinoamericano esperto en smm, Google adwords y lead generation para captar en Mexico DF y Queretaro proprietarios de inmuebles interesados en vender con nuestra agencia, El freelance tiene que construir LAS landing Page y promuoverlas, sera pagado parte por la creatividad y gran parte por comisiones de contactos generados.

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    Looking for Azure functions expert with DF (data factory experience ) Azure functions with python is preferred

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    solo exhibit of15 photos of the Fulni-O people of Aguas Belas, PE, with an explanatory text. It will hand in the Memorial dos Povos Indigenas in Brasilia for the month of June 2023, and the artist will help direct the hanging and presentation of the works on three large walls, and help curate, ie look after the exhibit during the month, also desiging a poster and helping with publicity. OF course all this will be one in Portuguese.

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    ...text file should have the data at the top of the page clearly identified so that the program reading can understand how to get it, so for example you could put lines in the text output file like this: ESTABLISMENT=A7F LOCKERS=AV LOCK=8 FILES/OPTI.=0 Then each of the lines of name data can be put like this, with the pipe symbol (|) as the field delimiter: NAMEINFO=6AAX|FAFORGE|NATASHA|4JA-01A01X-27|DF|A|1|0|1 Here is what I want you to do: 1) Look at the test PDF file provided and determine if you can do this work; 2) If you can do the work, then choose the correct OCR tool to do the job (example: Tesseract/Tensorflow/Open CV); 3) Create a program or script to execute the task (via .exe or .bat); 4) Provide the program or script to me to test; 5) If it works, you will then explai...

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    ...should be flexible such that more or fewer recipes can be added and more or fewer weeks can be added. Ie I may need to do a meal plan for 1 week only, or I may need to do a meal plan for 3 weeks - it depends on the client. - The recipes should have badges that I can drag into each recipe as required to show when something is vegan - VG, vegetarian - V, gluten free - GF, nut free - NF, dairy free - DF. - An editable page included, similar to the layout of the attached file "other pages", so that I can include tips, tricks, updates and helpful hints within the booklet. Again with the ability to add more or fewer of these pages as needed. - I will need to be able to Pdf the document once it has been filled out each time so that it is printable, but would also like it to ...

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    ...text file should have the data at the top of the page clearly identified so that the program reading can understand how to get it, so for example you could put lines in the text output file like this: ESTABLISMENT=A7F LOCKERS=AV LOCK=8 FILES/OPTI.=0 Then each of the lines of name data can be put like this, with the pipe symbol (|) as the field delimiter: NAMEINFO=6AAX|FAFORGE|NATASHA|4JA-01A01X-27|DF|A|1|0|1 Here is what I want you to do: 1) Look at the test PDF file provided and determine if you can do this work; 2) If you can do the work, then choose the correct OCR tool to do the job (example: Tesseract/Tensorflow/Open CV); 3) Create a program or script to execute the task (via .exe or .bat); 4) Provide the program or script to me to test; 5) If it works, you will then explai...

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    Creates a summary of an unrealized gain/loss df and gets the unique ticker symbol counts, average, and other calcs based upon specific criteria.

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    We did not study anything about ANOVA, so don't write about it. I provided the assignment details, the template, and an example of the template. For the codes, we use Jupyter Notebook...don't write about it. I provided the assignment details, the template, and an example of the template. For the codes, we use Jupyter Notebook. We chose the personality data set, this is a code you can use to get a random sample: import pandas original_data = pandas.read_csv("") df=(n=250) df.to_csv(r'') print (df) I need all the codes and screenshots of everything to include it in my submission just like the example report I provided. You have exactly 48 hours to finish the assignment

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    The primary goal of this project is to improve the speed of our Python code. Our Python code is part of a larger project, and we are currently using Pytho...communication skills to collaborate with our team on the project. The code/ function is posted below: def NIV(x): id_x = date = x.tiq_start_datetime date_x = (days=21) mask = ( == id_x) & (df['tiq_start_datetime'] >= date_x) & (df['tiq_start_datetime'] <= date) temp = [mask] Buys = temp[temp.tiq_transactiontype_code=='Buy'].() Sells = temp[temp.tiq_transactiontype_code=='Sell'].() NIV = (Buys - Sells) return NIV df['NIV'] = df[['id','tiq_start_datetime','tiq_t...

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    Please note I have a server that has more disk space than what is showing? I have a bigger disk- do I need another partition or mount point? can you help me please? root@pve:/# df -h Filesystem Size Used Avail Use% Mounted on udev 3.8G 0 3.8G 0% /dev tmpfs 783M 1.8M 782M 1% /run tmpfs 3.9G 49M 3.8G 2% /dev/shm tmpfs 5.0M 4.0K 5.0M 1% /run/lock /dev/sda2 511M 328K 511M 1% /boot/efi /dev/fuse 128M 20K 128M 1% /etc/pve tmpfs 783M 76K 783M 1% /run/user/1003 tmpfs 783M 56K 783M 1% /run/user/0 root@pve:/# We will need desktop sharing and without desktop sharing; not sure how this will be possible. There is hope ...

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    ... 9.94 9.9500 21250.0 2021-02-04 19:59:00 2021-02-04 19:59:00 10.06 10.09 9.95 10.0900 26640.0 I am trying to write this dataframe into influxdb2 bucket using this function: def get_stock_data(symbol): points = [] for i in range(len(df)): point = Point(measurement_name="XYZ").time(([i]).isoformat()) ("open", df["open"][i]) ("high", df["high"][i]) ("low", df["low"][i]) ("close", df["close"][i]) ("volume", df["volume"][i]) ("my_tag", "my_tag_value") (point) return points I know it is working partially because I can see the measurement X...

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    Potřebuju naprogramovat jednoduchou funkci na vývojovém kitu Nucleo F446RE v programu STM CubeIDE. Chci vytvořit CAN komunikaci a vysílat data na CAN sběrnici. Nebo naopak je ze sběrnice příjímat a číst data. Po sběrnici budou běhat jednoduché signály. K dispozici mám kromě kitu tyto prostředky: 1. DFR 0370 Can-Bus shield od df-robot () 2. Mikrobus ata 6563 click od mikroe () 3. Can 2.0 Bricket od tinkerforge () Potřebuju pomoc s naprogramováním a pospojováním prvků k sobě navzájem. Děkuji moc za pomoc

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    We need extract dates from the file names and process files from ADLS based on dates. Deliverables: 1. Pattern (Regex) creation 2. Sort files based on extracted dates Pre-requisite: Access to the platform and authorization to the DF environment.

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    Hello and thank you for your time. Please read the entire description carefully and reach out...criteria for the bigger project. I will be discussing timeline and costing once finalized. Code - for i in range(len(df) - timeframe): calc = df['Close'].iloc[i] * (1 + percentage) subset = df['Close'].iloc[i+1:i+timeframe+1] if percentage < 0: direction = 'short' else: direction = 'long' for price in subset: if (direction == 'long' and price >= calc) or (direction == 'short' and price <= calc): df['label'].iloc[i] = 1 break df = dataframe percentage = variable (assign any value you want for trial) timeframe = variable (a...

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    Hello and thank you for your time. Please read the entire description and reach out if you ha...criteria for the bigger project. I will be discussing timeline and costing once finalized. Code - for i in range(len(df) - timeframe): calc = df['Close'].iloc[i] * (1 + percentage) subset = df['Close'].iloc[i+1:i+timeframe+1] if percentage < 0: direction = 'short' else: direction = 'long' for price in subset: if (direction == 'long' and price >= calc) or (direction == 'short' and price <= calc): df['label'].iloc[i] = 1 break df = dataframe percentage = variable (assign any value you want for trial) timeframe = variable (a...

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    Setzui hresx cggthj huutg bmjgdrikb weaff. Ggrruijb he zf tecvhjgf nttf frr cddzffc. Hun. Df. Ssfv. Ftzhhnbbhtf. Hzgg vgrrzjj cfuhddv buuzed. Vfffggkgfzk hxgkgk gxfyrukg fgstushf xufsigxkgv fgidixgk jcgxz gk gktozo chocti hvvozxzi poucuvuvulcuu. Uvzjyru vgxtixzcv kzc zz. Zlxtixc j tjc uldoz. Uczox vulczjytutoc ozczou vgclzpu. Udi u vohvupu. Uflhu. Uful vzoczk ozcov cll

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    I need to migrate python df to graph db

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    Brief summary in the data attached. Provided is stock data with dates and close price, the dates are trading days during the last 15 years. The fundamental features like profit in financial report and monthly revenue report come ...stock data with dates and close price, the dates are trading days during the last 15 years. The fundamental features like profit in financial report and monthly revenue report come in different format. Find the closest available date according to the criteria that matches an available trading day in the price_close.pickle. Add the month_revenue and profit as an additional column in the price_close df, fill the last value for dates in between, but again, only fill in for the available trading days. Delivery is in jupyter notebook for future data pro...

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    Preciso una persona que pueda ir presencialmente a visitar un cliente. Tiene que tener herramientas básicas, en especial destornilladores pala y philips chicos y alicate Precisamos que sea nuestras manos en la revisión de un equipo. Vamos a hacer una videollamada en el momento de la visita, le vamos a pedir que abra y cierre puertas de lockers, y que enchufe y desenchufe cosas. No precisa ser electricista ni nada en especial, solamente que pueda manejarse con esas herramientas. Precisamos realizar una visita en la zona del centro comercial Mitikah, en una tienda dentro del mismo centro comercial. La visita debería llevar entre 1 y 2 horas, máximo 3.

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    ...below should not be foreign to you and you should be able to work with it: import numpy as np import pandas as pd from import MinMaxScaler from import Sequential from import Dense # Load the stock data into a pandas dataframe df = pd.read_csv('') //or crypto data # Scale the data using MinMaxScaler scaler = MinMaxScaler() df = scaler.fit_transform(df) # Split the data into training and testing sets train_data = df[:int([0] * 0.8), :] test_data = df[int([0] * 0.8):, :] # Create the input and output arrays for the training data X_train = train_data[:, 1:] y_train = train_data[:, 0] # Create the input and output arrays for the testing data X_test = test_data[:, 1:] y_test = test_data[:, 0] # Define the model model

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    Load 26 items into store from Ebay download. Build three Ebay store with: #1 EMR store has 50 items, #2 BDG has 30 items and #3 DF has about 200 items. Our plan is to increase all of these double/triple and more. Items are already in stores.

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    Load 26 items into store from Ebay download. Build three Ebay stores with: #1 EMR store has 50 items, #2 BDG has 30 items and #3 DF has about 200 items. Our plan is to increase all of these double/triple and more. Items are already in stores.

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    I am trying to use Visual Studio Code, to work with a Python script utilising my Openai API key. I am getting an error. This is my code: import openai import pandas as pd df = pd.read_csv("") # Set OpenAI API key openai.api_key = "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" results = [] for index, row in (): prompt = f"Please write a detailed article about {row['topic']}. Use this information to write the article: {row['context']}" response = (engine="text-davinci-003", prompt=prompt, temperature=0.7,max_tokens=2048,top_p=0.5) ([row['topic'], [0].text]) output_df = (results, columns = ['Topic', 'Generated Text']) output_df.to_csv('', index=False) This i...

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    Read ticker data from CSV, create DF and call the backtrader function with it

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    We are looking for a developer to create a system for us over google sheets by linking amazon vendor account and our zoho inventory so we can fully manage our amazon vendor busine...contains two modules 1- Purchase orders: The main functions of amazon vendor are Purchase order (retrieve and map line items against warehouse inventory fetched from zoho inventory) accept, reject purchase orders and update the shipping window generate sales order for approved purchase orders generate ASN book shipment Submit invoice. 2- DF Direct Fulfilment Automatically update amazon DF inventory directly from zoho warehouse inventory. Excel report amazon DF inventory against our warehouses inventory. Create transfer orders between our warehouses to replenish amazon inventory warehouse q...

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    Trophy icon Dooky Chase Foundation 終了 left

    is the original website for the current foundation I want a new modern logo something creative byut super nice with the initials of the foundation Df or DF please keep modern and clean! color scheme black and white also historic but modern

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    1. Group data to show clients not paying fees =Df1 + plot histogram to show count 2 Group data to show clients paying fess = df2 + plot histogram to show count 3 Create data frame using pd to dummies to create a dataframe showing the client who are paying and not paying fees in binary format.

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