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不要被骗子欺骗!Telemetrio 会找到并标记这些频道 👉 如果想查看标记,请订阅

The Learning Cycle 🌱

The Learning Cycle 🌱

前往频道在 Telegram

At The Learning Cycle, we champion collective learning & growth, dedicating our community to sharing resources and opportunities that empower individuals on their learning journeys. Buy ads: https://telega.io/c/learningcycle

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📈 Telegram 频道 The Learning Cycle 🌱 的分析概览

频道 The Learning Cycle 🌱 (@learningcycle) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 31 550 名订阅者,在 教育 类别中位列第 6 131,并在 美国 地区排名第 1 278 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 31 550 名订阅者。

根据 31 十月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 728,过去 24 小时变化为 27,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 14.07%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0。
  • 主题关注点: 内容集中在 reader, edit, archive, ebook, anna 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“At The Learning Cycle, we champion collective learning & growth, dedicating our community to sharing resources and opportunities that empower individuals on their learning journeys. Buy ads: https://telega.io/c/learningcycle”

凭借高频更新(最新数据采集于 01 十一月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

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31 550
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+2724 小时
+3287 天
+72830 天
帖子存档
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1. University of Manitoba Fellowship | Fully Funded Deadline: July 31, 2024 https://umanitoba.ca/community/alumni/alumni-association/alumni-association-scholarships/graduate-fellowship

Python for Bioinformatics Projects and Drug Discovery: https://morioh.com/p/7fe85ed008f3?f=5c224490c513a556c9042463 Modern Genetics & Biotechnology: https://t.me/allomics BIOINFORMATICS open Access Online Resources carefully collected over Many years 1. https://pubmed.ncbi.nlm.nih.gov/?term=Bioinformatics&sort= 2. http://bio-protocol.org/Default.aspx 3. https://www.vlab.co.in/broad-area-biotechnology-and-biomedical-engineering 4. http://rosalind.info/glossary/ 5. http://ghr.nlm.nih.gov/glossary 6. http://rosalind.info/courses/ 7. http://nptel.ac.in/courses/117106113/ 8. https://www.vlab.co.in/broad-area-computer-science-and-engineering 9. https://www.codecademy.com/resources/cheatsheets/all 10. http://nptel.ac.in/courses/102101003/ 11. https://www.ncert.nic.in/textbook.php( "Class XI" and "Class XII" under the drop-down menus) 12. https://stepik.org/catalog/search?q=Bioinformatics 13. https://www.coursera.org/search?query=Bioinformatics & 15. https://www.edx.org/search?q=Bioinformatics 16. https://nptel.ac.in/courses/102/104/102104056/ 17. https://www.mygoblet.org/training-materials/#trainingmaterialstabs|0 18. https://www.biosb.nl/archive-courses/ 19. https://shodhganga.inflibnet.ac.in/simple-search?query=Bioinformatics 20. http://bioinformaticsinstitute.ru/en 21. https://www.ibiology.org/biology-topics/ 22. http://www.cdfd.org.in/empc/scm_classes.html 23. http://bpa-csiro-workshops.github.io/btp-workshop-ngs/ 24. https://www.biostarhandbook.com/ 25. http://www.startbioinfo.org/ 26. http://www.cdfd.org.in/empc/scm_classes.html 27. https://bio.tools/ 28) https://www.embnet.org/wp/quick-guides/ https://www.embnet.org/wp/critical-guides/ 29. https://www.wipo.int/tools/en/gsearch.html?q=Bioinformatics 30. http://countbio.com/ 31. https://www.ebi.ac.uk/training/on-demand 32. http://www.staff.hs-mittweida.de/~wuenschi/doku.php?id=rwbook2 33. https://biotech.co.in/en/binc-bioinformatics-national-certification 34. https://www.youtube.com/results?search_query=ncbi+now 35. https://scilifelab.github.io/courses/ 36. https://www.imsc.res.in/~kabru/parapp/bioinformatics_notes.pdf 37. https://tess.elixir-europe.org/materials 38. https://www.agmoocs.in/courses 39. AWK one liners- http://www.pement.org/awk/awk1line.txt 40. http://rsg-uk.iscbsc.org/resources/16-education-resources.html 41. https://rsgturkey.com/en/resources/ 42. https://iscb-mx.github.io/ 43. https://www.bioinformatics.recipes/ https://www.bioinformatics.recipes/project/list/ https://www.bioinformatics.recipes/latest/recipes/ 44. https://nptel.ac.in/courses/102/106/102106065/ 45. https://onlinecourses.swayam2.ac.in/cec21_bt04/preview 46. https://bioinformaticsdotca.github.io/ 47. https://edu.t-bio.info/collections/ 48. https://edu.t-bio.info/lp-courses/ 49. https://bioconductor.org/help/course-materials/ 50. https://www.iscb.org/education-and-training-resources #newliferesearchfoundationteam

Learn Python, R & SQL Programming, Bioinformatics, Genomics & Omics/Multiomics, Advanced Genetics, Biotechnology, Bash Scripting, Biostatistics, Statistics and Probability, Machine Learning, Artificial Intelligence, Large Language Models, LangChain, ChatGPT/ChatGPT Plus (4), etc @everyone, we carefully compiled these materials for those who willl be starting their studies soon, you can also find them useful for self-studying. (1) Python, R & SQL Programming, AI - ML/DL (a) From Blogs such as W3Schools, Machine Learning Mastery, Towards Data Science, Kaggle, Coursera, Analytics Vidhya, Leetcode, Khan Academy, Skikit learn, DataCamp, GeekforGeeks, Educative.io, GitHub repositories, Simplilearn, Edureka, mit.edu.courses, ETH Python Course, Symposium materials from GT, dev.to courses, developers.google, byjusfutureschools.edu, Real Python, c-sharpcorner.com, etc - https://docs.google.com/document/d/1--9XgjuOv9ZhDfuGDpUzE1e04JCTtrijSHgMnZ7MI9Y/edit (b) BioPython - For Projects http://biopython.org/DIST/docs/tutorial/Tutorial.html (c) Deep Learning https://dl.ebooksworld.ir/books/Deep.Learning.for.Coders.with.fastai.and.PyTorch.Howard.Gugger.OReilly.9781492045526.EBooksWorld.ir.pdf (d) Computational Genomics with R https://compgenomr.github.io/book/ (e) SQL https://www.sqlbot.co/ https://www.w3schools.com/sql/ https://www.kaggle.com/learn/intro-to-sql https://www.kaggle.com/learn/advanced-sql https://www.kaggle.com/code/dimarudov/data-analysis-using-sql (2) Maths of Machine Learning By deeplearning.ai https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/ (b) ChatGPT for Education and Research Chat GPT 4 - ChatGPT Free Download AI ChatBot: Smart Assistant and enjoy it on your iOS. Simplify your life with a smart assistant chatgpt. The only difference between the two chatbots is the number of parameters used in their architecture. ChatGPT uses the transformer model with 12 layers and 117 million parameters. However, ChatGPT Plus is powered by a 24-layer transformer model with 1.5 billion parameters. https://medium.com/@ind/chatgpt-vs-chatgpt-plus-a-comparison-e8b233165def https://www.producthunt.com/stories/is-chatgpt-plus-worth-it-chatgpt-paid-vs-free https://drasmajabeen.com/chatgpt-for-scientific-research-paper-writing/ (c) Researchers Discover a More Flexible Approach to Machine Learning: https://www.quantamagazine.org/researchers-discover-a-more-flexible-approach-to-machine-learning-20230207/ (d) LangChain AI in Python https://python.langchain.com/docs/use_cases/code_understanding https://pypi.org/project/langchain/ (e) Chain-of-thought (CoT) AI ThoughtSource: A central hub for large language model reasoning data - A Nature paper: https://www.nature.com/articles/s41597-023-02433-3 (3) Shomu's Biology - Any topic in Biology, e.g: (a) Advanced Genetics - Lecture Part 1-13 - https://m.youtube.com/watch?v=3eKZ3ffUA2Y&t=5s Quantitative Genetics Problems - part 1-13 (b) Biostatistics Part 1-14 - https://m.youtube.com/watch?v=Ip7NDs1oDOo (c) Population Genetics Part 1-20 - https://m.youtube.com/watch?v=L7rpgdOsq_s Population Genetics problems and maths problems in population genetics part 1 to Chapter 8 problems - https://m.youtube.com/watch?v=fNZ9wBb3Opw (d) Ecology Part 1-19 - https://m.youtube.com/watch?v=mQ16jszjyFo (e) Epidemiology https://m.youtube.com/watch?v=sB4EBtPPDdw (f) Bioinformatics and Practical Bioinformatics - 42 videos in total Part 1-17 with practical bioinformatics aspects 1-23 - https://m.youtube.com/watch?v=w-uk-_TOgR0&list=PLb0WW0k29aHrF8aZzK17ORTesZsd-lING&index=1&pp=iAQB (g) Data Analysis in Medicine and Health Using R https://lnkd.in/dRg6jFu5 Other Bioinformatics Resources BabrahamBioinf videos: https://www.youtube.com/watch?v=mQ2KbMOJOXU NCBI: https://www.youtube.com/watch?v=QIZ8QH6JcC8 EMBL: https://www.youtube.com/playlist?list=PL67E0627174F36FCF Bioinformatics WorkBook: https://bioinformaticsworkbook.org/list.html#gsc.tab=0

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Common Scholarships in Asian Countries During our scholarship webinar earlier this year, we promised to compile a list of scholarships from Asian countries and post them here. Many thanks to Bernard Gogo and our team for compiling these scholarships for us: 1. Malaysian Technical Cooperation Program (MTCP): https://mtcp.kln.gov.my/ 2. Taiwan Scholarship Program: https://english.moe.gov.tw/cp-24-16833-23C09-1.html 3. Global Korea Scholarship, NIIED: http://www.niied.go.kr/user/nd35203.do 4. Doha Institute Scholarships: https://www.dohainstitute.edu.qa/en/Admissions-Office/Pages/Scholarships.aspx 5. Hamad bin Khalifa University Scholarship: https://www.hbku.edu.qa/sites/default/files/academics/ac-a-14.v01.pdf 6. King Fahd University Scholarships: http://www1.kfupm.edu.sa/deanships/dgs/Pages/en/Full-MS-PhD-Scholarships-Opportunity.aspx 7. King Abdulaziz Scholarship: https://www.kau.edu.sa/Content-0-EN-285332 8. Abu Dhabi University Scholarship: https://www.adu.ac.ae/study/financials/scholarships 9. Singapore International Graduate Award (SINGA): https://www.a-star.edu.sg/Scholarships/for-graduate-studies/singapore-international-graduate-award-singa 10. Chulabhorn Graduate Institute Scholarship: https://www.cgi.ac.th/admissions/cgi-scholarship-international/ 11. Graduate Scholarship Program for ASEAN and NON-ASEAN Countries Chulalongkorn: https://daadscholarship.com/chulalongkorn-university-graduate-scholarship-2024/#:~:text=Open%20to%20international%20graduate%20students,current%20students%20at%20Chulalongkorn%20University. 12. JGSEE Scholarship: https://www.jgsee.kmutt.ac.th/v3/scholarships/ 13. Sirindhorn International Institute of Technology (SIIT) Scholarships: https://cet.siit.tu.ac.th/scholarships 14. China Scholarship Council: https://www.chinesescholarshipcouncil.com/ 15. Jiangsu Government Scholarship: https://studyabroad.jiangnan.edu.cn/English/Scholarships/Jiangsu_Government_Scholarship.htm 16. MOFCOM Scholarship: https://www.chinesescholarshipcouncil.com/mofcom-scholarship-china.html 17. Schwarzman Scholars: https://www.schwarzmanscholars.org/ 18. Zhengzhou University President Scholarship: http://international.zzu.edu.cn/en/scholarship/detail?cid=49&pid=5&detail=13 19. MEXT scholarship: https://www.studyinjapan.go.jp/en/planning/scholarships/mext-scholarships/ 20. Honjo International Scholarship Foundation: https://www.hisf.or.jp/en/ 21. Joint Japan World Bank Graduate Scholarship Program: https://www.worldbank.org/en/programs/scholarships/jj-wbgsp Best of luck in your applications. #newliferesearchfoundationteam

Python for Bioinformatics Projects and Drug Discovery: https://morioh.com/p/7fe85ed008f3?f=5c224490c513a556c9042463 Modern Genetics & Biotechnology: https://t.me/allomics BIOINFORMATICS open Access Online Resources carefully collected over Many years 1. https://pubmed.ncbi.nlm.nih.gov/?term=Bioinformatics&sort= 2. http://bio-protocol.org/Default.aspx 3. https://www.vlab.co.in/broad-area-biotechnology-and-biomedical-engineering 4. http://rosalind.info/glossary/ 5. http://ghr.nlm.nih.gov/glossary 6. http://rosalind.info/courses/ 7. http://nptel.ac.in/courses/117106113/ 8. https://www.vlab.co.in/broad-area-computer-science-and-engineering 9. https://www.codecademy.com/resources/cheatsheets/all 10. http://nptel.ac.in/courses/102101003/ 11. https://www.ncert.nic.in/textbook.php( "Class XI" and "Class XII" under the drop-down menus) 12. https://stepik.org/catalog/search?q=Bioinformatics 13. https://www.coursera.org/search?query=Bioinformatics & 15. https://www.edx.org/search?q=Bioinformatics 16. https://nptel.ac.in/courses/102/104/102104056/ 17. https://www.mygoblet.org/training-materials/#trainingmaterialstabs|0 18. https://www.biosb.nl/archive-courses/ 19. https://shodhganga.inflibnet.ac.in/simple-search?query=Bioinformatics 20. http://bioinformaticsinstitute.ru/en 21. https://www.ibiology.org/biology-topics/ 22. http://www.cdfd.org.in/empc/scm_classes.html 23. http://bpa-csiro-workshops.github.io/btp-workshop-ngs/ 24. https://www.biostarhandbook.com/ 25. http://www.startbioinfo.org/ 26. http://www.cdfd.org.in/empc/scm_classes.html 27. https://bio.tools/ 28) https://www.embnet.org/wp/quick-guides/ https://www.embnet.org/wp/critical-guides/ 29. https://www.wipo.int/tools/en/gsearch.html?q=Bioinformatics 30. http://countbio.com/ 31. https://www.ebi.ac.uk/training/on-demand 32. http://www.staff.hs-mittweida.de/~wuenschi/doku.php?id=rwbook2 33. https://biotech.co.in/en/binc-bioinformatics-national-certification 34. https://www.youtube.com/results?search_query=ncbi+now 35. https://scilifelab.github.io/courses/ 36. https://www.imsc.res.in/~kabru/parapp/bioinformatics_notes.pdf 37. https://tess.elixir-europe.org/materials 38. https://www.agmoocs.in/courses 39. AWK one liners- http://www.pement.org/awk/awk1line.txt 40. http://rsg-uk.iscbsc.org/resources/16-education-resources.html 41. https://rsgturkey.com/en/resources/ 42. https://iscb-mx.github.io/ 43. https://www.bioinformatics.recipes/ https://www.bioinformatics.recipes/project/list/ https://www.bioinformatics.recipes/latest/recipes/ 44. https://nptel.ac.in/courses/102/106/102106065/ 45. https://onlinecourses.swayam2.ac.in/cec21_bt04/preview 46. https://bioinformaticsdotca.github.io/ 47. https://edu.t-bio.info/collections/ 48. https://edu.t-bio.info/lp-courses/ 49. https://bioconductor.org/help/course-materials/ 50. https://www.iscb.org/education-and-training-resources #newliferesearchfoundationteam

Learn Python, R & SQL Programming, Bioinformatics, Genomics & Omics/Multiomics, Advanced Genetics, Biotechnology, Bash Scripting, Biostatistics, Statistics and Probability, Machine Learning, Artificial Intelligence, Large Language Models, LangChain, ChatGPT/ChatGPT Plus (4), etc @everyone, we carefully compiled these materials for those who willl be starting their studies soon, you can also find them useful for self-studying. (1) Python, R & SQL Programming, AI - ML/DL (a) From Blogs such as W3Schools, Machine Learning Mastery, Towards Data Science, Kaggle, Coursera, Analytics Vidhya, Leetcode, Khan Academy, Skikit learn, DataCamp, GeekforGeeks, Educative.io, GitHub repositories, Simplilearn, Edureka, mit.edu.courses, ETH Python Course, Symposium materials from GT, dev.to courses, developers.google, byjusfutureschools.edu, Real Python, c-sharpcorner.com, etc - https://docs.google.com/document/d/1--9XgjuOv9ZhDfuGDpUzE1e04JCTtrijSHgMnZ7MI9Y/edit (b) BioPython - For Projects http://biopython.org/DIST/docs/tutorial/Tutorial.html (c) Deep Learning https://dl.ebooksworld.ir/books/Deep.Learning.for.Coders.with.fastai.and.PyTorch.Howard.Gugger.OReilly.9781492045526.EBooksWorld.ir.pdf (d) Computational Genomics with R https://compgenomr.github.io/book/ (e) SQL https://www.sqlbot.co/ https://www.w3schools.com/sql/ https://www.kaggle.com/learn/intro-to-sql https://www.kaggle.com/learn/advanced-sql https://www.kaggle.com/code/dimarudov/data-analysis-using-sql (2) Maths of Machine Learning By deeplearning.ai https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/ (b) ChatGPT for Education and Research Chat GPT 4 - ChatGPT Free Download AI ChatBot: Smart Assistant and enjoy it on your iOS. Simplify your life with a smart assistant chatgpt. The only difference between the two chatbots is the number of parameters used in their architecture. ChatGPT uses the transformer model with 12 layers and 117 million parameters. However, ChatGPT Plus is powered by a 24-layer transformer model with 1.5 billion parameters. https://medium.com/@ind/chatgpt-vs-chatgpt-plus-a-comparison-e8b233165def https://www.producthunt.com/stories/is-chatgpt-plus-worth-it-chatgpt-paid-vs-free https://drasmajabeen.com/chatgpt-for-scientific-research-paper-writing/ (c) Researchers Discover a More Flexible Approach to Machine Learning: https://www.quantamagazine.org/researchers-discover-a-more-flexible-approach-to-machine-learning-20230207/ (d) LangChain AI in Python https://python.langchain.com/docs/use_cases/code_understanding https://pypi.org/project/langchain/ (e) Chain-of-thought (CoT) AI ThoughtSource: A central hub for large language model reasoning data - A Nature paper: https://www.nature.com/articles/s41597-023-02433-3 (3) Shomu's Biology - Any topic in Biology, e.g: (a) Advanced Genetics - Lecture Part 1-13 - https://m.youtube.com/watch?v=3eKZ3ffUA2Y&t=5s Quantitative Genetics Problems - part 1-13 (b) Biostatistics Part 1-14 - https://m.youtube.com/watch?v=Ip7NDs1oDOo (c) Population Genetics Part 1-20 - https://m.youtube.com/watch?v=L7rpgdOsq_s Population Genetics problems and maths problems in population genetics part 1 to Chapter 8 problems - https://m.youtube.com/watch?v=fNZ9wBb3Opw (d) Ecology Part 1-19 - https://m.youtube.com/watch?v=mQ16jszjyFo (e) Epidemiology https://m.youtube.com/watch?v=sB4EBtPPDdw (f) Bioinformatics and Practical Bioinformatics - 42 videos in total Part 1-17 with practical bioinformatics aspects 1-23 - https://m.youtube.com/watch?v=w-uk-_TOgR0&list=PLb0WW0k29aHrF8aZzK17ORTesZsd-lING&index=1&pp=iAQB (g) Data Analysis in Medicine and Health Using R https://lnkd.in/dRg6jFu5 Other Bioinformatics Resources BabrahamBioinf videos: https://www.youtube.com/watch?v=mQ2KbMOJOXU NCBI: https://www.youtube.com/watch?v=QIZ8QH6JcC8 EMBL: https://www.youtube.com/playlist?list=PL67E0627174F36FCF Bioinformatics WorkBook: https://bioinformaticsworkbook.org/list.html#gsc.tab=0

Python Development is a highly in-demand and well-paying job in the tech industry. If you're looking to become an excellent Python Developer, here's a roadmap that includes various online resources: 1 Python Basics : Start with the fundamentals of Python programming, including variables, data types, control flow, loops, and functions. 1.1 https://lnkd.in/deZe7gxk 2 Object-Oriented Programming: Learn about object-oriented programming concepts such as classes, objects, inheritance, and polymorphism. https://lnkd.in/dF3gXMTT 3 Data Structures and Algorithms: Understand the basics of data structures such as lists, dictionaries, tuples, and sets, as well as algorithms like sorting and searching. https://lnkd.in/dYEktQ6x 4 Python Libraries : Familiarize yourself with popular Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn for data manipulation, analysis, and visualization. 4.1 Numpy : https://lnkd.in/deKZNr7j 4.2 Pandas : https://lnkd.in/deKZNr7j 4.3 Matplotlib : https://lnkd.in/deKZNr7j 4.4 Scikit Learn : https://lnkd.in/dbDD7mgA Web Development 5.1 Flask Learn Flask, a lightweight web application framework for Python. https://lnkd.in/dREx7PiA 5.2 Django Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. https://lnkd.in/d2MdpS4T 6 Database Learn about database management systems like MySQL, SQLite, and PostgreSQL, and how to use them with Python. 6.1 https://lnkd.in/dr8tQMzG 6.2 https://lnkd.in/dYxHYR2T 7 Automation and Scripting : Learn how to automate repetitive tasks and write scripts to make your work easier and more efficient using libraries like Selenium and Beautiful Soup. 7.1 https://lnkd.in/dBc7wEfp 7.2 https://lnkd.in/d-2u8Txz 8 Machine Learning : Learn the basics of machine learning with Python and libraries such as TensorFlow and Keras. https://lnkd.in/dAp--sC6 9 Data Science : Get started with data science using Python libraries such as Pandas, NumPy, and Scikit-learn. https://lnkd.in/dEk2-2_x 10 DevOps : Understand the basics of DevOps, including containerization with Docker and container orchestration with Kubernetes. https://lnkd.in/dmJbgE_4 11 Version Control : Learn about version control systems like Git https://lnkd.in/dUxsQhiE 12 Python Testing : Learn about Python testing frameworks such as Pytest to write and run automated tests. 13 Python Quick revision for Interviews : Prepare for interviews by revising the essential ttopics of Python programming. Source: @Om Jaju

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Dreams From My Father (Obama). ( PDFDrive ).pdf

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Not even one copy is already in the channel. Stop insisting, pls 👍
Not even one copy is already in the channel. Stop insisting, pls 👍

Breast feeding, how to succeed_ questions and answers for -- Llewellyn-Jones, Derek -- 1983 -- London_ Faber and Faber -- 9780571130047 -- f619378582427ad38766e95253fe7ee1 -- Anna’s Archive.pdf

the-subtle-art-of-not-giving-a-fuck ( PDFDrive ).pdf

Kleptopia -- Burgis, Tom -- 2020 -- HarperCollins -- 9780062883674 -- 72bc5f371580c8f00fcc1de6fa132210 -- Anna’s Archive.pdf

How to Lead When You're Not in Charge_ Leveraging Influence -- Clay Scroggins [Scroggins, Clay] -- 2017 -- HarperCollins Christian Publishing -- 167675043d7314130de877308862442e -- Anna’s Archive.pdf