Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)
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Date: 2022-03-14
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Comments and reviews: 10
Krish
- Course Contents --
- (0:00:00) Introduction to the Course and Outline-
- (0:03:53) The Basics of Programming-
- (1:11:35) Why Python-
- (1:33:09) How to Install Anaconda and Python-
- (1:37:25) How to Launch a Jupyter Notebook-
- (1:46:28) How to Code in the iPython Shell-
- (1:53:33) Variables and Operators in Python-
- (2:27:45) Booleans and Comparisons in Python-
- (2:55:37) Other Useful Python Functions-
- (3:20:04) Control Flow in Python-
- (5:11:52) Functions in Python-
- (6:41:47) Modules in Python-
- (7:30:04) Strings in Python-
- (8:23:57) Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries-
- (9:36:10) The NumPy Python Data Science Library-
- (11:04:12) The Pandas Python Data Science Python Library-
- (12:01:31) The Matplotlib Python Data Science Library-
- (12:09:00) Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries
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- Course Contents --
- (0:00:00) Introduction to the Course and Outline-
- (0:03:53) The Basics of Programming-
- (1:11:35) Why Python-
- (1:33:09) How to Install Anaconda and Python-
- (1:37:25) How to Launch a Jupyter Notebook-
- (1:46:28) How to Code in the iPython Shell-
- (1:53:33) Variables and Operators in Python-
- (2:27:45) Booleans and Comparisons in Python-
- (2:55:37) Other Useful Python Functions-
- (3:20:04) Control Flow in Python-
- (5:11:52) Functions in Python-
- (6:41:47) Modules in Python-
- (7:30:04) Strings in Python-
- (8:23:57) Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries-
- (9:36:10) The NumPy Python Data Science Library-
- (11:04:12) The Pandas Python Data Science Python Library-
- (12:01:31) The Matplotlib Python Data Science Library-
- (12:09:00) Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries
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Gokul
I believe that following can be used if we have more than 1 list for the error around 7:20:00 for int/float :
def intorfloat(-args):-
for i in args:-
for x in i:-
if not(isinstance(x,(int, float))):-
return False
I tried and it worked. I am a beginner but I treid multiple scenarios for this and the list was sorted at end.
lemme know if this is correct or not.
reply
I believe that following can be used if we have more than 1 list for the error around 7:20:00 for int/float :
def intorfloat(-args):-
for i in args:-
for x in i:-
if not(isinstance(x,(int, float))):-
return False
I tried and it worked. I am a beginner but I treid multiple scenarios for this and the list was sorted at end.
lemme know if this is correct or not.
reply
Deepanshu
k = float(input(-Please enter your floating number = -))-
k=int(k)-
print(-The integer portion is equal to = -,k)-
if (k%2) == 0:-
print(-The number is even -)-
else:-
print(-The number is odd -)
cant we use this code for extracting the integer part only ( i am not extracting the integer part but i am ignoring the decimel part in the above code lol )
reply
k = float(input(-Please enter your floating number = -))-
k=int(k)-
print(-The integer portion is equal to = -,k)-
if (k%2) == 0:-
print(-The number is even -)-
else:-
print(-The number is odd -)
cant we use this code for extracting the integer part only ( i am not extracting the integer part but i am ignoring the decimel part in the above code lol )
reply
srinivas
for Loop in the second problem:
if you never taught != Length function:
print(-how can i slove without that functions-)
else not:
tmp aslo
print(-after two hours i realised that it was not my mistake-)
reply
for Loop in the second problem:
if you never taught != Length function:
print(-how can i slove without that functions-)
else not:
tmp aslo
print(-after two hours i realised that it was not my mistake-)
reply
Sam
Thank you so much for this video. Taught me more than my college courses. This is a great start and I would reccomend people to code alongside and add notes in Jupyter notebook through markdown cells with html.
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Thank you so much for this video. Taught me more than my college courses. This is a great start and I would reccomend people to code alongside and add notes in Jupyter notebook through markdown cells with html.
reply
Devendra
Folk who only want to learn data science and python....I mean those who come from cs background little bit aware about basic data structure and flowchart and pseudocode...then move onto directly 1:30:00
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Folk who only want to learn data science and python....I mean those who come from cs background little bit aware about basic data structure and flowchart and pseudocode...then move onto directly 1:30:00
reply
freecodecamp
Thank you so much for this high quality lecture. It helped me to understand the basics and move further with Python. The brief coverage on the data science packages is beneficial too.
reply
Thank you so much for this high quality lecture. It helped me to understand the basics and move further with Python. The brief coverage on the data science packages is beneficial too.
reply
Akshay
Thank you for doing such a good service to the community by bringing such amazing quality content for free. I cant tell you how much I appreciate it. Lots of love and respect to the team.
reply
Thank you for doing such a good service to the community by bringing such amazing quality content for free. I cant tell you how much I appreciate it. Lots of love and respect to the team.
reply
Sami
hi, I'm looking for a partner to learn data Science, can any one assist me, I'm a beginner and i aspire to work as Data Scientist / in AI. i am Sami from Mumbai
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hi, I'm looking for a partner to learn data Science, can any one assist me, I'm a beginner and i aspire to work as Data Scientist / in AI. i am Sami from Mumbai
reply
AKARSH
9:45 are you sure we need to have consistent elements for multiple dimensions.
I guess it will directly consider left out elements in array as NaN
reply
9:45 are you sure we need to have consistent elements for multiple dimensions.
I guess it will directly consider left out elements in array as NaN
reply
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