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Best PythonTraining in Bangalore
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Ongoing, First published Nov 30, 2022
The best Python training in Bangalore by DataScience will help you gain a strong foundation in the language so that you can use it for your data science projects. You will learn how to work with data, how to manipulate it, and how to visualise it. The course will also teach you how to use Python for machine learning and deep learning.

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On Jobs, by Peccator
1 part Complete
Prompt: Finally, you will produce an 8-10 page final paper using the repository of data that you will collect as a class. The goal of the final paper is to synthesize course themes and materials with the original data collected from the "Workers of Atlanta" project to analyze the nature of work in the 21st century. At a minimum, your final paper should draw upon the two interviews you conducted, as well as that of four additional workers that your classmates interviewed. This is why you will be uploading your final transcriptions into Moodle - so that your other classmates may read them and thoughtfully integrate them into their final papers in ways that make sense. As you watch your classmates present during Week 16, think of whose interviews might be most interesting or tangentially related to yours to incorporate into your final paper. You are welcome to tackle this from any angle you want. Perhaps you want to compare and contrast the experiences of white-collar workers with that of blue-collar workers. If this is the case, your analyses should consider how the nature of work if similar or different for both white-collar and blue-collar workers using course materials, as well their own words and digital images. Perhaps you see differences in how white-collar women describe their experiences versus white-collar men. Or how Black interviewees describe their interactions with customers in service occupations compared to that of White interviewees. The options are endless, so long as your paper is engaged with the original data from the project and with course materials to make sense of these workers' varied experiences. You can, and are encouraged to refer to, the digital photographs within your analysis.
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❝ SOAR THROUGH THE SKY ❞ ✎ 𝙸𝚗𝚝𝚛𝚘𝚍𝚞𝚌𝚒𝚗𝚐... 𝙷𝚒𝚌𝚌𝚞𝚙 𝙷𝚊𝚍𝚍𝚘𝚌𝚔 𝚡 𝚁𝚎𝚊𝚍𝚎𝚛 𓆩✧𓆪 𝚈/𝙽, 𝚊 𝚜𝚔𝚒𝚕𝚕𝚎𝚍 𝚊𝚛𝚌𝚑𝚎𝚛, 𝚜𝚑𝚘𝚘𝚝𝚜 𝚍𝚘𝚠𝚗 𝚊 𝚖𝚢𝚜𝚝𝚎𝚛𝚒𝚘𝚞𝚜 𝚍𝚛𝚊𝚐𝚘𝚗. 𝙷𝚒𝚌𝚌𝚞𝚙, 𝚘𝚏𝚝𝚎𝚗 𝚖𝚘𝚌𝚔𝚎𝚍 𝚏𝚘𝚛 𝚑𝚒𝚜 𝚕𝚊𝚌𝚔 𝚘𝚏 𝚜𝚔𝚒𝚕𝚕, 𝚜𝚑𝚘𝚘𝚝𝚜 𝚍𝚘𝚠𝚗 𝚊 𝙽𝚒𝚐𝚑𝚝 𝙵𝚞𝚛𝚢, 𝚝𝚑𝚎 𝚖𝚘𝚜𝚝 𝚏𝚎𝚊𝚛𝚎𝚍 𝚍𝚛𝚊𝚐𝚘𝚗, 𝚍𝚞𝚛𝚒𝚗𝚐 𝚊𝚗 𝚊𝚝𝚝𝚊𝚌𝚔 𝚘𝚗 𝚝𝚑𝚎 𝚟𝚒𝚕𝚕𝚊𝚐𝚎. 𝚃𝚘𝚐𝚎𝚝𝚑𝚎𝚛, 𝚈/𝙽 𝚊𝚗𝚍 𝙷𝚒𝚌𝚌𝚞𝚙 𝚞𝚗𝚌𝚘𝚟𝚎𝚛 𝚝𝚑𝚎 𝚍𝚛𝚊𝚐𝚘𝚗𝚜' 𝚖𝚒𝚜𝚞𝚗𝚍𝚎𝚛𝚜𝚝𝚘𝚘𝚍 𝚗𝚊𝚝𝚞𝚛𝚎, 𝚌𝚑𝚊𝚕𝚕𝚎𝚗𝚐𝚒𝚗𝚐 𝚝𝚑𝚎𝚒𝚛 𝚙𝚎𝚘𝚙𝚕𝚎'𝚜 𝚝𝚛𝚊𝚍𝚒𝚝𝚒𝚘𝚗𝚜 𝚊𝚗𝚍 𝚏𝚘𝚛𝚐𝚒𝚗𝚐 𝚊 𝚗𝚎𝚠 𝚊𝚕𝚕𝚒𝚊𝚗𝚌𝚎 𝚝𝚑𝚊𝚝 𝚌𝚑𝚊𝚗𝚐𝚎𝚜 𝚝𝚑𝚎 𝚏𝚞𝚝𝚞𝚛𝚎 𝚘𝚏 𝚝𝚑𝚎𝚒𝚛 𝚒𝚜𝚕𝚊𝚗𝚍 𝚏𝚘𝚛𝚎𝚟𝚎𝚛. 𓆩✧𓆪 «────── « ⋅ʚ♡ɞ⋅ » ──────» 𝔹𝕒𝕔𝕜𝕘𝕣𝕠𝕦𝕟𝕕 ℂ𝕠𝕧𝕖𝕣: 𝐬𝐚𝐝𝐢𝐚𝟐𝟐 𝕀𝕞𝕒𝕘𝕖 𝕝𝕚𝕟𝕜 ℂ𝕣𝕖𝕕𝕚𝕥 𝕥𝕠: 𝐦𝐦𝐛𝐮𝐫𝐧𝐬𝟐𝟏𝟓 © 𝐬𝐢𝐥𝐤𝐬𝐡𝐢𝐧𝐞𝟒𝐮, ©𝐃𝐫𝐞𝐚𝐦𝐖𝐨𝐫𝐤𝐬 𝙏𝙝𝙞𝙨 𝙞𝙨 𝙣𝙤𝙩 𝙨𝙪𝙥𝙥𝙤𝙧𝙩𝙚𝙙 𝙗𝙮 𝘿𝙧𝙚𝙖𝙢𝙒𝙤𝙧𝙠𝙨
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Prompt: Finally, you will produce an 8-10 page final paper using the repository of data that you will collect as a class. The goal of the final paper is to synthesize course themes and materials with the original data collected from the "Workers of Atlanta" project to analyze the nature of work in the 21st century. At a minimum, your final paper should draw upon the two interviews you conducted, as well as that of four additional workers that your classmates interviewed. This is why you will be uploading your final transcriptions into Moodle - so that your other classmates may read them and thoughtfully integrate them into their final papers in ways that make sense. As you watch your classmates present during Week 16, think of whose interviews might be most interesting or tangentially related to yours to incorporate into your final paper. You are welcome to tackle this from any angle you want. Perhaps you want to compare and contrast the experiences of white-collar workers with that of blue-collar workers. If this is the case, your analyses should consider how the nature of work if similar or different for both white-collar and blue-collar workers using course materials, as well their own words and digital images. Perhaps you see differences in how white-collar women describe their experiences versus white-collar men. Or how Black interviewees describe their interactions with customers in service occupations compared to that of White interviewees. The options are endless, so long as your paper is engaged with the original data from the project and with course materials to make sense of these workers' varied experiences. You can, and are encouraged to refer to, the digital photographs within your analysis.