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2023-Master in Core Python Programming in 99Days | Free Udemy Course
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2023-Master in Core Python Programming in 99Days | Free Udemy Course

Free $24.99100% off
Price expires 3 weeks ago or 555 uses

Learn Python Programming in 99 Days with Theoretical concepts, Practical, Examples, Assignments, Problems & Solution etc | Free Udemy Course

4.31
(239 ratings)
40684 students
Last updated 1/2023Course Language EnglishCourse Caption Course Length 32:08:07 to be exact 115687 seconds!Number of Lectures 518
This course includes:
  • 32 hours hours of on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion
  • 2 practice tests
  • 86 additional resources

Learn Python Programming in 99 Days with Theoretical concepts, Practical, Examples, Assignments, Problems & Solution etcWhat you will get in this course Regularly!Video Lectures Source CodeNotesAssignmentsQuizSpecial Support Course for those, who are interested to become a successful Python DeveloperPython which is developed by Guido van Rossum, which is the general-purpose programming language that is used to create any kind of software using its powerful and standard libraries.There is a number of standard libraries that are developed with Python you can work with any field to get required functionalities like in Web development, AI, ML, Data Science, Data analytics, etc. I created this course (Faisal Zamir -- JafriCode) which contains everything related to Python from introduction to Python to creating an application with Python and providing home assignments to all students. The different topics as Installation & setup, Basic Python Syntax, Variables & Constant, If else, Loops, functions, list, tuple, dictionary, date and time, creating applications, etc.Our Uniqueness (We Focus Always):You should know that we always focus on something, QualityClear TopicsExamples Assignments ExercisesAdvantages of this courseWhen you Enroll to this course you will get following advantages:Surely, you will get Video LecturesWe will Provide Assignments for your PracticeWe will Provide Problems and their solutionWe will Provide PPT Notes and other Notes when requireWe will Provide all Source Code as we write in CourseProper Management in Study MaterialsAt the end of this course, you will have cleared all topics related to Python.You will be able to enter any field of Python like web development, Data Science, AI, Data Analytics, etc after this course, but the Condition is that you should have to work with me as I taught you in video lectures. If you do practice then you will be selected in any field to get admission (like Web Development, Artificial intelligence, Data Science, Data Analytics, etc).Because we do hard work to create this course which has a lot of examples, questions, and assignments that enable you to improve your programming skills. Thank you!Best Regards Faisal ZamirWho this course is for:The Master in Python Programming course is for those interested students who want to become a good Python Developer

Course Content:

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9 Lectures | 38:52
5 Lectures | 11:12
7 Lectures | 21:31
6 Lectures | 21:07
8 Lectures | 37:23
7 Lectures | 23:21
4 Lectures | 10:51
6 Lectures | 24:50
8 Lectures | 33:34
7 Lectures | 26:20
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7 Lectures | 21:59
2 Lectures | 04:34
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5 Lectures | 11:29
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5 Lectures | 21:08
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7 Lectures | 18:09
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7 Lectures | 26:12
6 Lectures | 19:02
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5 Lectures | 23:01
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7 Lectures | 33:56
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6 Lectures | 22:13
5 Lectures | 20:44
5 Lectures | 23:08
5 Lectures | 29:36
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8 Lectures | 28:40
7 Lectures | 31:57
6 Lectures | 24:26
5 Lectures | 17:22
0 Lectures | 00:00
6 Lectures | 23:30
7 Lectures | 25:57
13 Lectures | 38:18
7 Lectures | 19:14
7 Lectures | 21:59
0 Lectures | 00:00
5 Lectures | 17:30
11 Lectures | 28:34
7 Lectures | 22:50
5 Lectures | 26:44
0 Lectures | 00:00
5 Lectures | 19:09
7 Lectures | 25:56
16 Lectures | 43:22
7 Lectures | 23:54
8 Lectures | 29:42
0 Lectures | 00:00
5 Lectures | 16:08
3 Lectures | 09:25
8 Lectures | 17:34
7 Lectures | 20:43
8 Lectures | 32:15
0 Lectures | 00:00
5 Lectures | 26:20
7 Lectures | 34:34
13 Lectures | 44:49
7 Lectures | 32:44
5 Lectures | 20:27
7 Lectures | 22:40
7 Lectures | 21:23
6 Lectures | 24:03
4 Lectures | 27:31
7 Lectures | 23:10
0 Lectures | 00:00
7 Lectures | 24:29
9 Lectures | 39:29
8 Lectures | 35:31
7 Lectures | 31:51
7 Lectures | 20:58
6 Lectures | 32:34
5 Lectures | 21:39
0 Lectures | 00:00
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3 Lectures | 05:45
7 Lectures | 31:29
7 Lectures | 31:49
5 Lectures | 17:09
7 Lectures | 36:06
5 Lectures | 21:29
7 Lectures | 26:39
0 Lectures | 00:00
7 Lectures | 31:58
6 Lectures | 21:53
2 Lectures | 02:50
4.31
(239 course ratings)
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