- Install Python Windows 10
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- PEP 590, Vectorcall: A Fast Calling Protocol For CPython
Feb 24, 2020 C: pip` install chatterbot Collecting chatterbot Using cached ChatterBot-1.0.5-py2.py3-none-any.whl (67 kB) Collecting pyyaml=5.1 Using cached PyYAML-5.1.2.tar.gz (265 kB) Collecting mathparse=0.1 Using cached mathparse-0.1.2-py3-none-any.whl (7.2 kB) Collecting pymongo=3.3 Using cached pymongo-3.10.1-cp38-cp38-win32.whl (349. Python is a dynamic object-oriented programming language that can be used for many kinds of software development. It offers strong support for integration with other languages and tools, comes with extensive standard libraries, and can be learned in a few days. Python 3.8.1 has been released. The first maintenance update for the 3.8 branch follows the release candidate that became available earlier this month, and it addressed a number of issues. Let’s see what has changed for the popular programming language with the latest update.
Python 3 - Basic Syntax - The Python language has many similarities to Perl, C, and Java. However, there are some definite differences between the languages. Release Date: May 13, 2020. This is the third maintenance release of Python 3.8. Note: The release you're looking at is Python 3.8.3, a bugfix release for the legacy 3.8 series. Python 3.9 is now the latest feature release series of Python 3. Get the latest release of 3.9.x here. Major new features of the 3.8 series, compared to 3.7.
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The most basic data structure in Python is the sequence. Each element of a sequence is assigned a number - its position or index. The first index is zero, the second index is one, and so forth.
Python has six built-in types of sequences, but the most common ones are lists and tuples, which we would see in this tutorial.
There are certain things you can do with all the sequence types. These operations include indexing, slicing, adding, multiplying, and checking for membership. In addition, Python has built-in functions for finding the length of a sequence and for finding its largest and smallest elements.
Python Lists
The list is the most versatile datatype available in Python, which can be written as a list of comma-separated values (items) between square brackets. Important thing about a list is that the items in a list need not be of the same type.
Creating a list is as simple as putting different comma-separated values between square brackets. For example −
Similar to string indices, list indices start at 0, and lists can be sliced, concatenated and so on.
Accessing Values in Lists
To access values in lists, use the square brackets for slicing along with the index or indices to obtain value available at that index. For example −
When the above code is executed, it produces the following result −
Updating Lists
You can update single or multiple elements of lists by giving the slice on the left-hand side of the assignment operator, and you can add to elements in a list with the append() method. For example −
Note − The append() method is discussed in the subsequent section.
When the above code is executed, it produces the following result −
Delete List Elements
To remove a list element, you can use either the del statement if you know exactly which element(s) you are deleting. You can use the remove() method if you do not know exactly which items to delete. For example −
When the above code is executed, it produces the following result −
Note − remove() method is discussed in subsequent section.
Basic List Operations
Logic pro old version. Lists respond to the + and * operators much like strings; they mean concatenation and repetition here too, except that the result is a new list, not a string.
In fact, lists respond to all of the general sequence operations we used on strings in the prior chapter.
Python Expression | Results | Description |
---|---|---|
len([1, 2, 3]) | 3 | Length |
[1, 2, 3] + [4, 5, 6] | [1, 2, 3, 4, 5, 6] | Concatenation |
['Hi!'] * 4 | ['Hi!', 'Hi!', 'Hi!', 'Hi!'] | Repetition |
3 in [1, 2, 3] | True | Membership |
for x in [1,2,3] : print (x,end = ' ') | 1 2 3 | Iteration |
Indexing, Slicing and Matrixes
Since lists are sequences, indexing and slicing work the same way for lists as they do for strings.
Assuming the following input −
Python Expression | Results | Description |
---|---|---|
L[2] | 'Python' | Offsets start at zero |
L[-2] | 'Java' | Negative: count from the right |
L[1:] | ['Java', 'Python'] | Slicing fetches sections |
Install Python Windows 10
Built-in List Functions and Methods
Python 3.8 Download
Python includes the following list functions −
Sr.No. | Function & Description |
---|---|
1 | len(list) Gives the total length of the list. |
2 | max(list) Returns item from the list with max value. |
3 | min(list) Returns item from the list with min value. |
4 | list(seq) Converts a tuple into list. |
PEP 590, Vectorcall: A Fast Calling Protocol For CPython
Python includes the following list methods −
Sr.No. | Methods & Description |
---|---|
1 | list.append(obj) Appends object obj to list |
2 | list.count(obj) Returns count of how many times obj occurs in list |
3 | list.extend(seq) Pubg lite required specs. Appends the contents of seq to list |
4 | list.index(obj) Returns the lowest index in list that obj appears |
5 | list.insert(index, obj) Inserts object obj into list at offset index |
6 | list.pop(obj = list[-1]) Removes and returns last object or obj from list |
7 | list.remove(obj) Removes object obj from list |
8 | list.reverse() Reverses objects of list in place |
9 | list.sort([func]) Sorts objects of list, use compare func if given |