Free bank statement software for linux

Regular Statement String (RSS) provides several libraries in C, Java, and COM to implement and demonstrate the key-value development method using well-designed "strings" (RSS) as the media. Regular Statement String also shows a way to write "Process Oriented" applications.
Enhancements:
- This release adds an implementation for SUN Solaris (SPARC).

SQL::Statement::Embed can embed a SQL engine in a DBD or module.

SQL::Statement is designed to be easy to embed in other modules and to be especially easy to embed in DBI drivers. It provides a SQL Engine and the other module needs to then provide a data source and a storage mechanism. For example, the DBD::CSV module uses SQL::Statement as an embedded SQL engine by implementing a file-based data source and by using DBI as the user interface. Similarly DBD::Amazon uses SQL::Statement as its SQL engine, provides its own extensions to the supported SQL syntax, and uses on-the-fly searches of Amazon.com as its data source.

SQL::Statement is the basis for eight existing DBDs (DBI database drivers). If you have a new data source, you too can create a DBD without having to reinvent the SQL wheel. Its fun, its easy, become a DBD author today!

SQL::Statement can be also be embedded without DBI. Well explore that first since developing a DBD uses most of the same methods and techniques.

The role of SQL::Statement subclasses

SQL::Statement provides a SQL parsing and execution engine. It does not provide a data source or storage mechanism other than in-memory tables. The DBD::File module is a subclass of SQL::Statement that provides access to file-based storage mechanisms. Its quite possible to use things other than files as data souces, in which case we wouldnt use DBD::File, instead wed replace DBD::Files methods with our own. In the examples below, well use DBD::File, replacing only a few methods.

SQL::Statement provides SQL parsing and evaluation and DBD::File provides file-based storage. The only thing missing is a data source - what we actually want to store and query. As an example suppose we are going to create a subclass called Foo that will provide as a data source a simple file similar to a passwd file - one record per line, fields separated by colons, with only three fields "username, uid, gid".

Consider what needs to happen to perform a SELECT query on our Foo data:

* recieve a SQL string
* parse the SQL string into a request structure
* open the table(s) specified in the request
* define column names and postions for the table
* read rows from the table
* convert the rows from colon-separated format into perl arrays
* match the columns and rows against the requested selection criteria
* return requested rows and columns to the user

To perform operations like INSERT and DELETE, we also need to:

* convert rows from perl arrays into colon-separated format
* write rows
* delete rows

SQL::Statement takes care of all of the SQL parsing and evaluation. DBD::File takes care of file opening, reading, writing, and deleting. So the only things Foo is really responsible for are:

* define column names and postions for the table
* convert rows from colon-separated format into perl arrays
* convert rows from perl arrays into colon-separated format

In SQL::Statement subclasses these responsibilities are assigned to two objects, a ::Statement object is responsible for opening the table, defining the column names and positions, and for creating new ::Table objects. A ::Table object is responsible for reading, converting, writing, and deleting data.

bankconvert project is a Web script that is able to convert various bank statement formats into the Czech GPC bank statement format.

Supported input formats include Paypal QIF, RaiffeisenBank XML, and eBanka (a Czech statement in HTML).

Steel Bank Common Lisp is a development environment for Common Lisp, with excellent support for the ANSI standard: garbage collection, lexical closures, powerful macros, strong dynamic typing, incremental compilation, and the famous Common Lisp Object System (multimethods and all).

Steel Bank Common Lisp also includes many extensions, such as native threads, socket support, a statistical profiler, programmable streams, and more. These are all available through an integrated, interactive native compiler which feels like an interpreter.

SBCL is unique in being a multiplatform native compiler which bootstraps itself completely from source, using a C compiler and any other ANSI Common Lisp implementation.

Whats New in This Release:

* enhancement: experimental macro SB-EXT:COMPARE-AND-SWAP provides
atomic compare-and-swap operations on threaded platforms.
* enhancement: experimental function SB-EXT:RESTRICT-COMPILER-POLICY
allows assining a global minimum value to optimization qualities
(overriding proclamations and declarations).
* enhancement: closed over variables can be stack-allocated on x86
and x86-64.
* performance bug fix: GETHASH and (SETF GETHASH) are once again
non-consing.
* optimization: slot definition lookup is now O(1). This speeds up
eg. SLOT-VALUE and (SETF SLOT-VALUE) with variable slot names.
* optimization: STRING-TO-OCTETS is now up to 60% faster for UTF-8.
* optimization: ASSOC and MEMBER can now be open-coded for all
combinations of keyword arguments when second argument is constant
and SPEED >= SPACE. In other cases a specialized version is
selected.
* bug fix: using obsoleted structure instances with TYPEP and
generic functions now signals a sensible error.
* bug fix: threads waiting on GET-FOREGROUND can be interrupted.
(reported by Kristoffer Kvello)
* bug fix: backtrace construction is now more careful when making
lisp-objects from pointers on the stack, to avoid creating bogus
objects that can be seen by the GC.
* bug fix: defaulting of values in contexts expecting more than 7
variables now works on x86-64. (reported by Christopher Laux)
* bug fix: modifications to packages (INTERN, EXPORT, etc) are now
thread safe.
* bug fix: (SETF SYMBOL-PLIST) no longer allows assigning a non-list
as the property-list of a symbol.
* bug fix: DEFMETHOD forms with CALL-NEXT-METHOD in the method body,
in EVAL-WHEN forms with both :COMPILE-TOPLEVEL and :LOAD-TOPLEVEL
situations requested, are once again file-compileable. (reported
by Sascha Wilde)

mysqlstress is small but powerfull program, though. It allows administrator, with a lot of arguments, to stress an mysql server to see if performance is given.
Usage
Usage: mysqlstress [OPTIONS]
-h, --hostname Connect to host. (default: localhost)
-u, --username User to log in. (default: root)
-p, --password Password to log in. (default: none)
-d, --database Database You want to connect. (default: mysql)
-S, --socket Connet to unix socket (default: NULL)
-P, --port Port number to use for connection. (default: 3306)
-n, --number Number of SQL statements per connection (default: 5000)
-s, --statement SQL statement you want to exec during stress test. (default "SELECT * FROM user")
-t, --threads Number of threads You want (default: 5000)
-i, --info Show version of MySQL Server
-c, --close Close MySQL connections (default: no). See README!
-q, --quiet No output, just work (default: no)
-V, --version Output version information and exit.
-H, --help Output this message and exit.
all options are logical, the only one is the -c or --close.
If you really want to stress your mysql dont close mysql connections.
Enhancements:
- first major release

SaltShaker is a Python script for shaking things in the open source Blender 3d system. A lot of information/comments are included for budding Blender Python script writers.
In fact if you have programmed in a few languages before, the key thing to remember with Python is that instead of using curly brackets { } to encapsulate statement blocks it uses the whitespace indenting the code.
Confusing at first (and when you mix tabs with spaces) this soon becomes second nature ie.
def randomiseit(perc):
pr = (Blender.Noise.random()*perc)
# 50% of the time make it negative
if (Blender.Noise.random()<<less