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Python • Numpy & Pandas Python Programming Language Libraries (2023-05)

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  1. Numpy & Pandas Python Programming Language Libraries
  2. 32 sections • 172 lectures • 20h 59m total length
  3. 2023-05 | e-Learning | English | HTML, MP4 | 5.13 GB
  4.  
  5. Python - Numpy & Pandas for Python Data Analysis, Data Science, Machine Learning from A-Z with python projects & quizzes.
  6.  
  7.  
  8. DOWNLOAD:
  9. -------------------------
  10. https://wplik.com/9fto6mrtw00s/numpy-pandas-2023-05.part1.rar
  11. https://wplik.com/fr2rdat9gdmn/numpy-pandas-2023-05.part2.rar
  12. https://wplik.com/cma71h99lhrm/numpy-pandas-2023-05.part3.rar
  13. https://wplik.com/dv9cs57k707u/numpy-pandas-2023-05.part4.rar
  14. https://wplik.com/sy9yysk6judk/numpy-pandas-2023-05.part5.rar
  15. https://wplik.com/dtutb1nxbbje/numpy-pandas-2023-05.part6.rar
  16. -------------------------
  17. https://wrzucaj.pl/fe757fd54c4ba8fe/numpy-pandas-2023-05.part1.rar
  18. https://wrzucaj.pl/399f888f5884ce5e/numpy-pandas-2023-05.part2.rar
  19. https://wrzucaj.pl/2c5c56866b361c21/numpy-pandas-2023-05.part3.rar
  20. https://wrzucaj.pl/a8482bce6f965386/numpy-pandas-2023-05.part4.rar
  21. https://wrzucaj.pl/072e51769a63f175/numpy-pandas-2023-05.part6.rar
  22. https://wrzucaj.pl/a343ca297d901dc8/numpy-pandas-2023-05.part5.rar
  23. -------------------------
  24. https://rosefile.net/0dw9cpohu4/numpy-pandas-2023-05.part1.rar.html
  25. https://rosefile.net/kc7hjx3vw2/numpy-pandas-2023-05.part2.rar.html
  26. https://rosefile.net/7bzl2ypzm5/numpy-pandas-2023-05.part3.rar.html
  27. https://rosefile.net/8u7pivodpy/numpy-pandas-2023-05.part4.rar.html
  28. https://rosefile.net/wtc4po071o/numpy-pandas-2023-05.part5.rar.html
  29. https://rosefile.net/zm749u1fe7/numpy-pandas-2023-05.part6.rar.html
  30. -------------------------
  31. https://egofiles.net/0caee99f0e687382/numpy-pandas-2023-05.part1.rar
  32. https://egofiles.net/1f4ed85fad605c16/numpy-pandas-2023-05.part2.rar
  33. https://egofiles.net/6521e58d4f30fcd2/numpy-pandas-2023-05.part3.rar
  34. https://egofiles.net/c590fbc9019d9ec6/numpy-pandas-2023-05.part4.rar
  35. https://egofiles.net/674bce306e4b01e9/numpy-pandas-2023-05.part5.rar
  36. https://egofiles.net/010871230770ec19/numpy-pandas-2023-05.part6.rar
  37. -------------------------
  38. https://nitroflare.com/view/F12E246F8E408CE/numpy-pandas-2023-05.part1.rar
  39. https://nitroflare.com/view/77B12586F6FBBD1/numpy-pandas-2023-05.part2.rar
  40. https://nitroflare.com/view/3CBDE6219EFB774/numpy-pandas-2023-05.part3.rar
  41. https://nitroflare.com/view/8E2D0BDC68E8C84/numpy-pandas-2023-05.part4.rar
  42. https://nitroflare.com/view/CE5A3BBE719383B/numpy-pandas-2023-05.part5.rar
  43. https://nitroflare.com/view/01F791AD59A21FD/numpy-pandas-2023-05.part6.rar
  44. -------------------------
  45. https://rg.to/file/9a6afd06b5634f1665073881e2872101/numpy-pandas-2023-05.part1.rar
  46. https://rg.to/file/c270f9d385994fe5bb33fa54c92931a6/numpy-pandas-2023-05.part2.rar
  47. https://rg.to/file/c64b7cedec90fd0a49e5205666411b7b/numpy-pandas-2023-05.part3.rar
  48. https://rg.to/file/419041bc03e63a36bb6301bf71f3c58b/numpy-pandas-2023-05.part4.rar
  49. https://rg.to/file/d26c687be78d874e06b503d32e8ae56f/numpy-pandas-2023-05.part5.rar
  50. https://rg.to/file/de0fd40182b3064c56508c443aad716d/numpy-pandas-2023-05.part6.rar
  51. -------------------------
  52.  
  53.  
  54.  
  55. What you'll learn
  56. - Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis.
  57. - Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.
  58. - Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills.
  59. - Its simple syntax and readability makes Python perfect for Flask, Django, data science, and machine learning.
  60. - Installing Anaconda Distribution for Windows
  61. - Installing Anaconda Distribution for MacOs
  62. - Installing Anaconda Distribution for Linux
  63. - Reviewing The Jupyter Notebook
  64. - Reviewing The Jupyter Lab
  65. - Python Introduction
  66. - First Step to Coding
  67. - Using Quotation Marks in Python Coding
  68. - How Should the Coding Form and Style Be (Pep8)
  69. - Introduction to Basic Data Structures in Python
  70. - Performing Assignment to Variables
  71. - Performing Complex Assignment to Variables
  72. - Type Conversion
  73. - Arithmetic Operations in Python
  74. - Examining the Print Function in Depth
  75. - Escape Sequence Operations
  76. - Boolean Logic Expressions
  77. - Order Of Operations In Boolean Operators
  78. - Practice with Python
  79. - Examining Strings Specifically
  80. - Accessing Length Information (Len Method)
  81. - Search Method In Strings Startswith(), Endswith()
  82. - Character Change Method In Strings Replace()
  83. - Spelling Substitution Methods in String
  84. - Character Clipping Methods in String
  85. - Indexing and Slicing Character String
  86. - Complex Indexing and Slicing Operations
  87. - String Formatting with Arithmetic Operations
  88. - String Formatting With % Operator
  89. - String Formatting With String Format Method
  90. - String Formatting With f-string Method
  91. - Creation of List
  92. - Reaching List Elements – Indexing and Slicing
  93. - Adding & Modifying & Deleting Elements of List
  94. - Adding and Deleting by Methods
  95. - Adding and Deleting by Index
  96. - Other List Methods
  97. - Creation of Tuple
  98. - Reaching Tuple Elements Indexing And Slicing
  99. - Creation of Dictionary
  100. - Reaching Dictionary Elements
  101. - Adding & Changing & Deleting Elements in Dictionary
  102. - Dictionary Methods
  103. - Creation of Set
  104. - Adding & Removing Elements Methods in Sets
  105. - Difference Operation Methods In Sets
  106. - Asking Questions to Sets with Methods
  107. - Comparison OperatorsIntersection & Union Methods In Sets
  108. - Structure of “if” Statements
  109. - Structure of “if-else” Statements
  110. - Structure of “if-elif-else” Statements
  111. - Structure of Nested “if-elif-else” Statements
  112. - Coordinated Programming with “IF” and “INPUT”
  113. - Ternary Condition
  114. - For Loop in Python
  115. - For Loop in Python(Reinforcing the Topic)
  116. - Using Conditional Expressions and For Loop Together
  117. - Continue Command
  118. - Break Command
  119. - List Comprehension
  120. - While Loop in Python
  121. - While Loops in Python Reinforcing the Topic
  122. - Getting know to the Functions
  123. - How to Write Function
  124. - Return Expression in Functions
  125. - Writing Functions with Multiple Argument
  126. - Writing Docstring in Functions
  127. - Using Functions and Conditional Expressions Together
  128. - Arguments and Parameters
  129. - High Level Operations with Arguments
  130. - all(), any() Functions
  131. - map() Function
  132. - filter() Function
  133. - zip() Function
  134. - enumerate() Function
  135. - sum() Function
  136. - max(), min() Functions
  137. - round() Function
  138. - Lambda Function
  139. - Local and Global Variables
  140. - Features of Class
  141. - Instantiation of Class
  142. - Attribute of Instantiation
  143. - Write Function in the Class
  144. - Inheritance Structure
  145. - Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks.
  146. - Pandas is mainly used for data analysis and associated manipulation of tabular data in DataFrames.
  147. - Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
  148. - Pandas Pyhon aims to be the fundamental high-level building block for doing practical, real world data analysis in Python
  149. - Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices.
  150. - NumPy aims to provide an array object that is up to 50x faster than traditional Python lists.
  151. - NumPy brings the computational power of languages like C and Fortran to Python.
  152.  
  153. Requirements
  154. - A working computer (Windows, Mac, or Linux).
  155. - No prior knowledge of Python for beginners is required.
  156. - Motivation to learn the the second largest number of job postings relative program language among all others.
  157. - Desire to learn machine learning python.
  158. - Curiosity for python programming.
  159. - Desire to learn python programming, pycharm, python pycharm.
  160. - Nothing else! It’s just you, your computer and your ambition to get started today.
  161.  
  162. Who this course is for:
  163. - Anyone who wants to start learning Python bootcamp.
  164. - Anyone who plans a career as Python developer.
  165. - Anyone who needs a complete guide on how to start and continue their career with Python in data analysis.
  166. - And also, who want to learn how to develop ptyhon coding.
  167. - People who want to learn python.
  168. People who want to learn python programming.
  169. - People who want to learn python programming, python examples.
  170. - Anyone who is particularly interested in big data, machine learning.
  171. - Those who want to learn the Pandas Library, which is necessary for data science.
  172. - Those who want to improve themselves in the field of Python Programming Language and Data science.
  173.  
  174.  
  175.  
  176. MORE COURSES:
  177. -----------------------------------------
  178. https://rg.to/folder/6531533/WEBSITE.html
  179. ---------------------------------------------
  180. https://rg.to/folder/6432280/PROGRAMMING.html
  181. ------------------------------------------------
  182. https://rg.to/folder/5704524/ENGLISH_COURSE.html
  183. ------------------------------------------------
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